Nameexact_genome_1512185335_36_8775_1
Workunit2562225
Created5 Dec 2017, 11:46:14 UTC
Sent5 Dec 2017, 11:52:34 UTC
Report deadline7 Jan 2018, 12:00:59 UTC
Received7 Dec 2017, 9:28:36 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52322
Run time17 hours 37 min 6 sec
CPU time17 hours 24 min 34 sec
Validate stateInitial
Credit0.00
Device peak FLOPS2.94 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size166.39 MB
Peak swap size164.85 MB
Peak disk usage4.66 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
int_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_1512185335_36_8775.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_8775_1_r1692937710_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: 0.899827
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00230032
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.20129e-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: 33
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 9855
read best_validation_error: 458.936
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: 8775
read normal distribution: '0 0.249322861433029 1.68386542797089'
generator_str: '64900880'
read generator: 64900880
read generated_by_map:
1 crossover 1
reading 58 nodes.
reading 186 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: 549.432067871094s, input_fired_time: 6.58357286453247, output_fired_time: 6.63901948928833, propagate_forward_time: 205.156341552734, propagate_backward_time: 323.660400390625, weight_update_time: 0.563033878803253, other_time: 7.39273071289063
epoch time: 45.3445816040039s, input_fired_time: 0.842442810535431, output_fired_time: 0, propagate_forward_time: 43.128589630127, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.37355041503906
validation[          , genome  8775] predictions:    9802/  10000 (98.02%), best:    9855/10000 (98.55%), error:       639.42352, best error:       458.93570 on epoch:    22, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 554.1289672852s, input_fired_time: 6.5943622589, output_fired_time: 6.6083998680, propagate_forward_time: 207.5180969238, propagate_backward_time: 326.0671386719, weight_update_time: 0.5622758865, other_time: 7.3409729004
epoch time: 45.2645454407s, input_fired_time: 0.8386843801, output_fired_time: 0.0000000000, propagate_forward_time: 43.0980911255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3277702332
validation[          , genome  8775] predictions:    9714/  10000 (97.14%), best:    9855/10000 (98.55%), error:       892.98657, best error:       458.93570 on epoch:    22, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 561.9102783203s, input_fired_time: 6.6619453430, output_fired_time: 6.8137760162, propagate_forward_time: 209.6479034424, propagate_backward_time: 331.4219970703, weight_update_time: 0.5583363771, other_time: 7.3646850586
epoch time: 44.1845932007s, input_fired_time: 0.8244917393, output_fired_time: 0.0000000000, propagate_forward_time: 42.0268325806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3332672119
validation[          , genome  8775] predictions:    9848/  10000 (98.48%), best:    9855/10000 (98.55%), error:       489.16266, best error:       458.93570 on epoch:    22, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 565.0122070313s, input_fired_time: 6.6841139793, output_fired_time: 6.8281316757, propagate_forward_time: 210.9362487793, propagate_backward_time: 333.2006225586, weight_update_time: 0.5732734203, other_time: 7.3630676270
epoch time: 44.7480316162s, input_fired_time: 0.8290449381, output_fired_time: 0.0000000000, propagate_forward_time: 42.6036529541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3153343201
validation[          , genome  8775] predictions:    9846/  10000 (98.46%), best:    9855/10000 (98.55%), error:       514.14618, best error:       458.93570 on epoch:    22, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 567.5037841797s, input_fired_time: 6.6698689461, output_fired_time: 6.8573527336, propagate_forward_time: 211.6882934570, propagate_backward_time: 334.8904418945, weight_update_time: 0.5737455487, other_time: 7.3978271484
epoch time: 44.0670738220s, input_fired_time: 0.8168009520, output_fired_time: 0.0000000000, propagate_forward_time: 41.9382209778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3120536804
validation[          , genome  8775] predictions:    9834/  10000 (98.34%), best:    9855/10000 (98.55%), error:       541.97748, best error:       458.93570 on epoch:    22, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 557.5652465820s, input_fired_time: 6.6020350456, output_fired_time: 6.7875447273, propagate_forward_time: 207.6839447021, propagate_backward_time: 329.1650390625, weight_update_time: 0.5628128052, other_time: 7.3266601563
epoch time: 45.4953765869s, input_fired_time: 0.8409066796, output_fired_time: 0.0000000000, propagate_forward_time: 43.3220176697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3324508667
validation[          , genome  8775] predictions:    9858/  10000 (98.58%), best:    9855/10000 (98.55%), error:       477.83292, best error:       458.93570 on epoch:    22, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

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_1512185335_36_8775.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_8775_1_r1692937710_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: 0.923715
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00169095
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.76379e-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: 39
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 9855
read best_validation_error: 458.936
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: 8775
read normal distribution: '0 0.249322861433029 1.68386542797089'
generator_str: '1271019765'
read generator: 1271019765
read generated_by_map:
1 crossover 1
reading 58 nodes.
reading 186 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: 533.698425292969s, input_fired_time: 6.40086984634399, output_fired_time: 6.38642168045044, propagate_forward_time: 199.697616577148, propagate_backward_time: 314.104736328125, weight_update_time: 0.536607205867767, other_time: 7.1087646484375
epoch time: 43.5684967041016s, input_fired_time: 0.812836170196533, output_fired_time: 0, propagate_forward_time: 41.4598999023438, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.29576110839844
validation[          , genome  8775] predictions:    9838/  10000 (98.38%), best:    9855/10000 (98.55%), error:       527.37524, best error:       458.93570 on epoch:    22, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 564.1196289063s, input_fired_time: 6.6511096954, output_fired_time: 6.7669830322, propagate_forward_time: 211.2096557617, propagate_backward_time: 332.1960754395, weight_update_time: 0.5564922690, other_time: 7.2958068848
epoch time: 44.8649406433s, input_fired_time: 0.8318552971, output_fired_time: 0.0000000000, propagate_forward_time: 42.7243080139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3087768555
validation[          , genome  8775] predictions:    9836/  10000 (98.36%), best:    9855/10000 (98.55%), error:       494.74643, best error:       458.93570 on epoch:    22, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 563.9871215820s, input_fired_time: 6.6533622742, output_fired_time: 6.8030533791, propagate_forward_time: 210.3213806152, propagate_backward_time: 332.8814086914, weight_update_time: 0.5665065050, other_time: 7.3279113770
epoch time: 44.2406349182s, input_fired_time: 0.8233649135, output_fired_time: 0.0000000000, propagate_forward_time: 42.1141624451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3031082153
validation[          , genome  8775] predictions:    9832/  10000 (98.32%), best:    9855/10000 (98.55%), error:       525.28210, best error:       458.93570 on epoch:    22, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 545.8182373047s, input_fired_time: 6.4855556488, output_fired_time: 6.5462856293, propagate_forward_time: 203.5193634033, propagate_backward_time: 322.1044616699, weight_update_time: 0.5434129238, other_time: 7.1626281738
epoch time: 44.2973823547s, input_fired_time: 0.8223900795, output_fired_time: 0.0000000000, propagate_forward_time: 42.1828308105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2921600342
validation[          , genome  8775] predictions:    9857/  10000 (98.57%), best:    9855/10000 (98.55%), error:       475.59619, best error:       458.93570 on epoch:    22, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 557.9022827148s, input_fired_time: 6.6080279350, output_fired_time: 6.7639608383, propagate_forward_time: 208.8894500732, propagate_backward_time: 328.3894042969, weight_update_time: 0.5514398217, other_time: 7.2514038086
epoch time: 43.9565849304s, input_fired_time: 0.8210659027, output_fired_time: 0.0000000000, propagate_forward_time: 41.8366622925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2988586426
validation[          , genome  8775] predictions:    9859/  10000 (98.59%), best:    9855/10000 (98.55%), error:       495.52283, best error:       458.93570 on epoch:    22, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 554.9865722656s, input_fired_time: 6.5697364807, output_fired_time: 6.7071704865, propagate_forward_time: 206.6437835693, propagate_backward_time: 327.8460693359, weight_update_time: 0.5471591353, other_time: 7.2197875977
epoch time: 42.9088325500s, input_fired_time: 0.8106254935, output_fired_time: 0.0000000000, propagate_forward_time: 40.8005218506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2976837158
validation[          , genome  8775] predictions:    9858/  10000 (98.58%), best:    9858/10000 (98.58%), error:       447.19952, best error:       447.19952 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 553.0134277344s, input_fired_time: 6.5578994751, output_fired_time: 6.6697149277, propagate_forward_time: 206.7816009521, propagate_backward_time: 325.8070983887, weight_update_time: 0.5536937714, other_time: 7.1970520020
epoch time: 43.9805183411s, input_fired_time: 0.8134253621, output_fired_time: 0.0000000000, propagate_forward_time: 41.8872032166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2798881531
validation[          , genome  8775] predictions:    9837/  10000 (98.37%), best:    9858/10000 (98.58%), error:       513.24713, best error:       447.19952 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 560.0183715820s, input_fired_time: 6.5982766151, output_fired_time: 6.7695178986, propagate_forward_time: 208.3364105225, propagate_backward_time: 331.0576782227, weight_update_time: 0.5552847981, other_time: 7.2564697266
epoch time: 44.6966171265s, input_fired_time: 0.8366590142, output_fired_time: 0.0000000000, propagate_forward_time: 42.5515022278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3084564209
validation[          , genome  8775] predictions:    9859/  10000 (98.59%), best:    9858/10000 (98.58%), error:       458.42517, best error:       447.19952 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 559.8933715820s, input_fired_time: 6.6230697632, output_fired_time: 6.7155690193, propagate_forward_time: 208.9848632813, propagate_backward_time: 330.3188476563, weight_update_time: 0.5588496923, other_time: 7.2510375977
epoch time: 42.4666938782s, input_fired_time: 0.8017072082, output_fired_time: 0.0000000000, propagate_forward_time: 40.3926963806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2722892761
validation[          , genome  8775] predictions:    9838/  10000 (98.38%), best:    9858/10000 (98.58%), error:       525.76270, best error:       447.19952 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

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_1512185335_36_8775.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512185335_36_8775_1_r1692937710_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-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: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 44
read number_validation_images: 10000
read best_validation_predictions: 9858
read best_validation_error: 447.2
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: 8775
read normal distribution: '0 0.249322861433029 1.68386542797089'
generator_str: '1781067320'
read generator: 1781067320
read generated_by_map:
1 crossover 1
reading 58 nodes.
reading 186 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: 534.679748535156s, input_fired_time: 6.42492771148682, output_fired_time: 6.46530389785767, propagate_forward_time: 199.303634643555, propagate_backward_time: 315.367462158203, weight_update_time: 0.536198556423187, other_time: 7.11837768554688
epoch time: 43.5393562316895s, input_fired_time: 0.812112808227539, output_fired_time: 0, propagate_forward_time: 41.4440422058105, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.28319931030273
validation[          , genome  8775] predictions:    9849/  10000 (98.49%), best:    9858/10000 (98.58%), error:       521.89380, best error:       447.19952 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 546.8001098633s, input_fired_time: 6.5102066994, output_fired_time: 6.6109995842, propagate_forward_time: 204.1526794434, propagate_backward_time: 322.3642578125, weight_update_time: 0.5444826484, other_time: 7.1619567871
epoch time: 43.3523445129s, input_fired_time: 0.8135966659, output_fired_time: 0.0000000000, propagate_forward_time: 41.2283172607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3104324341
validation[          , genome  8775] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       388.36047, best error:       388.36047 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 553.0707397461s, input_fired_time: 6.5750083923, output_fired_time: 6.6766204834, propagate_forward_time: 206.6204223633, propagate_backward_time: 326.0031738281, weight_update_time: 0.5478915572, other_time: 7.1954956055
epoch time: 44.3876190186s, input_fired_time: 0.8300316334, output_fired_time: 0.0000000000, propagate_forward_time: 42.2543869019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3031997681
validation[          , genome  8775] predictions:    9864/  10000 (98.64%), best:    9885/10000 (98.85%), error:       421.94180, best error:       388.36047 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 557.6284790039s, input_fired_time: 6.6316118240, output_fired_time: 6.6793408394, propagate_forward_time: 209.0017547607, propagate_backward_time: 328.0345153809, weight_update_time: 0.5624005795, other_time: 7.2812805176
epoch time: 45.5973892212s, input_fired_time: 0.8463874459, output_fired_time: 0.0000000000, propagate_forward_time: 43.4288635254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3221397400
validation[          , genome  8775] predictions:    9879/  10000 (98.79%), best:    9885/10000 (98.85%), error:       399.23303, best error:       388.36047 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 571.3431396484s, input_fired_time: 6.7438149452, output_fired_time: 6.9070677757, propagate_forward_time: 213.8223876953, propagate_backward_time: 336.5487670898, weight_update_time: 0.5697637796, other_time: 7.3211059570
epoch time: 44.7817840576s, input_fired_time: 0.8382637501, output_fired_time: 0.0000000000, propagate_forward_time: 42.6311378479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3123817444
validation[          , genome  8775] predictions:    9840/  10000 (98.40%), best:    9885/10000 (98.85%), error:       515.24347, best error:       388.36047 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 570.5761108398s, input_fired_time: 6.7257800102, output_fired_time: 6.8708839417, propagate_forward_time: 213.0040283203, propagate_backward_time: 336.6372375488, weight_update_time: 0.5649930835, other_time: 7.3381652832
epoch time: 44.8113327026s, input_fired_time: 0.8320321441, output_fired_time: 0.0000000000, propagate_forward_time: 42.6689949036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3103065491
validation[          , genome  8775] predictions:    9848/  10000 (98.48%), best:    9885/10000 (98.85%), error:       494.77997, best error:       388.36047 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 569.2061157227s, input_fired_time: 6.7110323906, output_fired_time: 6.8438792229, propagate_forward_time: 212.5222625732, propagate_backward_time: 335.8172607422, weight_update_time: 0.5618500710, other_time: 7.3116455078
epoch time: 43.6220092773s, input_fired_time: 0.8207219243, output_fired_time: 0.0000000000, propagate_forward_time: 41.4990882874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3022003174
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       398.74121, best error:       388.36047 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 573.8646850586s, input_fired_time: 6.7751154900, output_fired_time: 6.8825969696, propagate_forward_time: 214.8137359619, propagate_backward_time: 338.0367126465, weight_update_time: 0.5753586292, other_time: 7.3565979004
epoch time: 44.3523483276s, input_fired_time: 0.8318322897, output_fired_time: 0.0000000000, propagate_forward_time: 42.2240295410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2964859009
validation[          , genome  8775] predictions:    9877/  10000 (98.77%), best:    9885/10000 (98.85%), error:       393.82639, best error:       388.36047 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 573.5457153320s, input_fired_time: 6.7661981583, output_fired_time: 6.9135742188, propagate_forward_time: 214.2872924805, propagate_backward_time: 338.2661132813, weight_update_time: 0.5683019161, other_time: 7.3125610352
epoch time: 45.0973167419s, input_fired_time: 0.8365423083, output_fired_time: 0.0000000000, propagate_forward_time: 42.9453697205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3154029846
validation[          , genome  8775] predictions:    9855/  10000 (98.55%), best:    9885/10000 (98.85%), error:       483.59167, best error:       388.36047 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 571.1708374023s, input_fired_time: 6.7417283058, output_fired_time: 6.9030570984, propagate_forward_time: 213.4145355225, propagate_backward_time: 336.7868347168, weight_update_time: 0.5705516338, other_time: 7.3246765137
epoch time: 45.4766197205s, input_fired_time: 0.8453676105, output_fired_time: 0.0000000000, propagate_forward_time: 43.3172683716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3139839172
validation[          , genome  8775] predictions:    9854/  10000 (98.54%), best:    9885/10000 (98.85%), error:       477.32303, best error:       388.36047 on epoch:    49, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 571.5220336914s, input_fired_time: 6.7445697784, output_fired_time: 6.8599848747, propagate_forward_time: 213.6715240479, propagate_backward_time: 336.9359436035, weight_update_time: 0.5680803061, other_time: 7.3100280762
epoch time: 44.5670890808s, input_fired_time: 0.8290756941, output_fired_time: 0.0000000000, propagate_forward_time: 42.4420967102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2959175110
validation[          , genome  8775] predictions:    9875/  10000 (98.75%), best:    9885/10000 (98.85%), error:       414.67764, best error:       388.36047 on epoch:    49, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 568.8892211914s, input_fired_time: 6.7144889832, output_fired_time: 6.8608245850, propagate_forward_time: 211.8665618896, propagate_backward_time: 336.1290893555, weight_update_time: 0.5678802729, other_time: 7.3182373047
epoch time: 45.5029792786s, input_fired_time: 0.8488250971, output_fired_time: 0.0000000000, propagate_forward_time: 43.3342170715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3199386597
validation[          , genome  8775] predictions:    9873/  10000 (98.73%), best:    9885/10000 (98.85%), error:       398.19965, best error:       388.36047 on epoch:    49, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 575.2658081055s, input_fired_time: 6.7640776634, output_fired_time: 6.9194860458, propagate_forward_time: 214.8798065186, propagate_backward_time: 339.3298950195, weight_update_time: 0.5727124214, other_time: 7.3724975586
epoch time: 45.0844688416s, input_fired_time: 0.8403451443, output_fired_time: 0.0000000000, propagate_forward_time: 42.9307212830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3134040833
validation[          , genome  8775] predictions:    9872/  10000 (98.72%), best:    9885/10000 (98.85%), error:       415.00992, best error:       388.36047 on epoch:    49, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 568.9389648438s, input_fired_time: 6.7626433372, output_fired_time: 6.8122692108, propagate_forward_time: 212.8163299561, propagate_backward_time: 335.2205200195, weight_update_time: 0.5696529150, other_time: 7.3272094727
epoch time: 46.1970443726s, input_fired_time: 0.8571026921, output_fired_time: 0.0000000000, propagate_forward_time: 44.0022888184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3376541138
validation[          , genome  8775] predictions:    9870/  10000 (98.70%), best:    9885/10000 (98.85%), error:       448.06912, best error:       388.36047 on epoch:    49, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 575.4302978516s, input_fired_time: 6.7903690338, output_fired_time: 6.8982262611, propagate_forward_time: 214.7982482910, propagate_backward_time: 339.5483703613, weight_update_time: 0.5728761554, other_time: 7.3950805664
epoch time: 45.6056671143s, input_fired_time: 0.8460508585, output_fired_time: 0.0000000000, propagate_forward_time: 43.4439926147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3156242371
validation[          , genome  8775] predictions:    9877/  10000 (98.77%), best:    9885/10000 (98.85%), error:       415.42905, best error:       388.36047 on epoch:    49, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 579.1423339844s, input_fired_time: 6.8175549507, output_fired_time: 6.9738187790, propagate_forward_time: 216.0413208008, propagate_backward_time: 341.9135131836, weight_update_time: 0.5706165433, other_time: 7.3961181641
epoch time: 46.3114509583s, input_fired_time: 0.8616458178, output_fired_time: 0.0000000000, propagate_forward_time: 44.1274604797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3223457336
validation[          , genome  8775] predictions:    9857/  10000 (98.57%), best:    9885/10000 (98.85%), error:       466.26163, best error:       388.36047 on epoch:    49, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 573.8423461914s, input_fired_time: 6.7609786987, output_fired_time: 6.9044060707, propagate_forward_time: 213.8524475098, propagate_backward_time: 338.9608459473, weight_update_time: 0.5734716654, other_time: 7.3636474609
epoch time: 43.1606292725s, input_fired_time: 0.8156907558, output_fired_time: 0.0000000000, propagate_forward_time: 41.0680198669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2769203186
validation[          , genome  8775] predictions:    9861/  10000 (98.61%), best:    9885/10000 (98.85%), error:       443.64133, best error:       388.36047 on epoch:    49, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 573.6383056641s, input_fired_time: 6.7782721519, output_fired_time: 6.8912076950, propagate_forward_time: 214.3344421387, propagate_backward_time: 338.2899780273, weight_update_time: 0.5729719996, other_time: 7.3443908691
epoch time: 42.0305366516s, input_fired_time: 0.8005033731, output_fired_time: 0.0000000000, propagate_forward_time: 39.9478836060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2821502686
validation[          , genome  8775] predictions:    9881/  10000 (98.81%), best:    9885/10000 (98.85%), error:       418.73349, best error:       388.36047 on epoch:    49, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 577.6557006836s, input_fired_time: 6.8213524818, output_fired_time: 6.9837698936, propagate_forward_time: 215.9683685303, propagate_backward_time: 340.5043334961, weight_update_time: 0.5710098147, other_time: 7.3778686523
epoch time: 45.3787574768s, input_fired_time: 0.8418638706, output_fired_time: 0.0000000000, propagate_forward_time: 43.2297706604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3071212769
validation[          , genome  8775] predictions:    9811/  10000 (98.11%), best:    9885/10000 (98.85%), error:       624.44092, best error:       388.36047 on epoch:    49, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 575.4767456055s, input_fired_time: 6.7907428741, output_fired_time: 6.8804025650, propagate_forward_time: 214.5225830078, propagate_backward_time: 339.9403076172, weight_update_time: 0.5699745417, other_time: 7.3426513672
epoch time: 45.4174804688s, input_fired_time: 0.8490700126, output_fired_time: 0.0000000000, propagate_forward_time: 43.2560005188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3124084473
validation[          , genome  8775] predictions:    9867/  10000 (98.67%), best:    9885/10000 (98.85%), error:       411.09332, best error:       388.36047 on epoch:    49, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 583.9942016602s, input_fired_time: 6.8431668282, output_fired_time: 7.0167517662, propagate_forward_time: 217.6486816406, propagate_backward_time: 345.0953674316, weight_update_time: 0.5782021284, other_time: 7.3902893066
epoch time: 44.5745429993s, input_fired_time: 0.8398568034, output_fired_time: 0.0000000000, propagate_forward_time: 42.4226379395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3120498657
validation[          , genome  8775] predictions:    9866/  10000 (98.66%), best:    9885/10000 (98.85%), error:       400.90808, best error:       388.36047 on epoch:    49, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 578.4838867188s, input_fired_time: 6.8116660118, output_fired_time: 6.9370951653, propagate_forward_time: 216.1836090088, propagate_backward_time: 341.1711730957, weight_update_time: 0.5724247694, other_time: 7.3804016113
epoch time: 45.7916412354s, input_fired_time: 0.8559352160, output_fired_time: 0.0000000000, propagate_forward_time: 43.6151199341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3205871582
validation[          , genome  8775] predictions:    9880/  10000 (98.80%), best:    9885/10000 (98.85%), error:       396.60864, best error:       388.36047 on epoch:    49, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 579.2017822266s, input_fired_time: 6.8195738792, output_fired_time: 6.9569540024, propagate_forward_time: 216.7926788330, propagate_backward_time: 341.2613830566, weight_update_time: 0.5724325180, other_time: 7.3711853027
epoch time: 45.3149948120s, input_fired_time: 0.8492156863, output_fired_time: 0.0000000000, propagate_forward_time: 43.1537590027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3120193481
validation[          , genome  8775] predictions:    9868/  10000 (98.68%), best:    9885/10000 (98.85%), error:       429.25238, best error:       388.36047 on epoch:    49, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 577.7343750000s, input_fired_time: 6.8023400307, output_fired_time: 6.9525928497, propagate_forward_time: 216.0213470459, propagate_backward_time: 340.6097106934, weight_update_time: 0.5725631714, other_time: 7.3483581543
epoch time: 42.8469085693s, input_fired_time: 0.8150057197, output_fired_time: 0.0000000000, propagate_forward_time: 40.7424125671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2894897461
validation[          , genome  8775] predictions:    9860/  10000 (98.60%), best:    9885/10000 (98.85%), error:       440.39340, best error:       388.36047 on epoch:    49, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 577.7072143555s, input_fired_time: 6.8172540665, output_fired_time: 6.9438548088, propagate_forward_time: 216.0814361572, propagate_backward_time: 340.5298767090, weight_update_time: 0.5690451264, other_time: 7.3348083496
epoch time: 45.5916404724s, input_fired_time: 0.8536677957, output_fired_time: 0.0000000000, propagate_forward_time: 43.4093742371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3285980225
validation[          , genome  8775] predictions:    9887/  10000 (98.87%), best:    9885/10000 (98.85%), error:       400.83936, best error:       388.36047 on epoch:    49, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 580.7064208984s, input_fired_time: 6.8289589882, output_fired_time: 6.9925374985, propagate_forward_time: 216.8607635498, propagate_backward_time: 342.6584472656, weight_update_time: 0.5702400208, other_time: 7.3656616211
epoch time: 46.1534271240s, input_fired_time: 0.8564652801, output_fired_time: 0.0000000000, propagate_forward_time: 43.9745559692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3224067688
validation[          , genome  8775] predictions:    9870/  10000 (98.70%), best:    9885/10000 (98.85%), error:       403.78302, best error:       388.36047 on epoch:    49, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 579.5108642578s, input_fired_time: 6.8208398819, output_fired_time: 6.9553909302, propagate_forward_time: 215.8355255127, propagate_backward_time: 342.5170898438, weight_update_time: 0.5747460723, other_time: 7.3820190430
epoch time: 44.8306274414s, input_fired_time: 0.8460220098, output_fired_time: 0.0000000000, propagate_forward_time: 42.6626625061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3219413757
validation[          , genome  8775] predictions:    9865/  10000 (98.65%), best:    9885/10000 (98.85%), error:       433.43115, best error:       388.36047 on epoch:    49, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 578.8577270508s, input_fired_time: 6.8187112808, output_fired_time: 6.9698166847, propagate_forward_time: 215.9824676514, propagate_backward_time: 341.7297973633, weight_update_time: 0.5676792264, other_time: 7.3569335938
epoch time: 45.4662017822s, input_fired_time: 0.8530799150, output_fired_time: 0.0000000000, propagate_forward_time: 43.2768440247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3362770081
validation[          , genome  8775] predictions:    9879/  10000 (98.79%), best:    9885/10000 (98.85%), error:       401.54596, best error:       388.36047 on epoch:    49, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 572.9981689453s, input_fired_time: 6.7872896194, output_fired_time: 6.8980889320, propagate_forward_time: 213.8461914063, propagate_backward_time: 338.1593017578, weight_update_time: 0.5675919056, other_time: 7.3073120117
epoch time: 45.8104171753s, input_fired_time: 0.8524702191, output_fired_time: 0.0000000000, propagate_forward_time: 43.6419792175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3159675598
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       417.87549, best error:       388.36047 on epoch:    49, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 575.2288818359s, input_fired_time: 6.7763800621, output_fired_time: 6.9514255524, propagate_forward_time: 214.4503173828, propagate_backward_time: 339.6736450195, weight_update_time: 0.5725699663, other_time: 7.3771362305
epoch time: 45.7967529297s, input_fired_time: 0.8547210097, output_fired_time: 0.0000000000, propagate_forward_time: 43.6297912598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3122406006
validation[          , genome  8775] predictions:    9877/  10000 (98.77%), best:    9885/10000 (98.85%), error:       428.97101, best error:       388.36047 on epoch:    49, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 577.2606201172s, input_fired_time: 6.8216457367, output_fired_time: 6.9158024788, propagate_forward_time: 216.5094299316, propagate_backward_time: 339.6741943359, weight_update_time: 0.5731887817, other_time: 7.3395080566
epoch time: 43.4464111328s, input_fired_time: 0.8198270202, output_fired_time: 0.0000000000, propagate_forward_time: 41.3559761047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2706069946
validation[          , genome  8775] predictions:    9882/  10000 (98.82%), best:    9885/10000 (98.85%), error:       393.30161, best error:       388.36047 on epoch:    49, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 577.3406982422s, input_fired_time: 6.8178720474, output_fired_time: 6.9617133141, propagate_forward_time: 215.6753692627, propagate_backward_time: 340.5073852539, weight_update_time: 0.5772628784, other_time: 7.3783569336
epoch time: 45.2633819580s, input_fired_time: 0.8553922176, output_fired_time: 0.0000000000, propagate_forward_time: 43.0999908447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3079986572
validation[          , genome  8775] predictions:    9875/  10000 (98.75%), best:    9885/10000 (98.85%), error:       403.97659, best error:       388.36047 on epoch:    49, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 574.5991821289s, input_fired_time: 6.8054161072, output_fired_time: 6.8884110451, propagate_forward_time: 214.4854125977, propagate_backward_time: 339.0942382813, weight_update_time: 0.5723132491, other_time: 7.3256835938
epoch time: 45.2940559387s, input_fired_time: 0.8465366364, output_fired_time: 0.0000000000, propagate_forward_time: 43.1417121887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3058052063
validation[          , genome  8775] predictions:    9876/  10000 (98.76%), best:    9885/10000 (98.85%), error:       399.75745, best error:       388.36047 on epoch:    49, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 575.3898315430s, input_fired_time: 6.8045921326, output_fired_time: 6.9159412384, propagate_forward_time: 215.1759185791, propagate_backward_time: 339.1675720215, weight_update_time: 0.5670461655, other_time: 7.3258361816
epoch time: 45.5173721313s, input_fired_time: 0.8490466475, output_fired_time: 0.0000000000, propagate_forward_time: 43.3719711304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2963562012
validation[          , genome  8775] predictions:    9885/  10000 (98.85%), best:    9885/10000 (98.85%), error:       430.81476, best error:       388.36047 on epoch:    49, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 575.5971679688s, input_fired_time: 6.8268737793, output_fired_time: 6.9046301842, propagate_forward_time: 215.3693389893, propagate_backward_time: 339.1500854492, weight_update_time: 0.5679791570, other_time: 7.3462524414
epoch time: 44.2720756531s, input_fired_time: 0.8287862539, output_fired_time: 0.0000000000, propagate_forward_time: 42.1358642578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3074264526
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       390.53824, best error:       388.36047 on epoch:    49, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 582.2238769531s, input_fired_time: 6.8613963127, output_fired_time: 6.9875559807, propagate_forward_time: 218.0278625488, propagate_backward_time: 342.9648742676, weight_update_time: 0.5836974382, other_time: 7.3822021484
epoch time: 45.3333129883s, input_fired_time: 0.8536111712, output_fired_time: 0.0000000000, propagate_forward_time: 43.1641464233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3155555725
validation[          , genome  8775] predictions:    9875/  10000 (98.75%), best:    9885/10000 (98.85%), error:       412.77914, best error:       388.36047 on epoch:    49, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 581.8278198242s, input_fired_time: 6.8702192307, output_fired_time: 6.9893150330, propagate_forward_time: 217.2727813721, propagate_backward_time: 343.2689819336, weight_update_time: 0.5761480927, other_time: 7.4265136719
epoch time: 44.4896125793s, input_fired_time: 0.8504012227, output_fired_time: 0.0000000000, propagate_forward_time: 42.3163108826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3228988647
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       418.59097, best error:       388.36047 on epoch:    49, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 583.8423461914s, input_fired_time: 6.8679180145, output_fired_time: 6.9970040321, propagate_forward_time: 218.3844299316, propagate_backward_time: 344.2083435059, weight_update_time: 0.5791810155, other_time: 7.3846435547
epoch time: 45.2227897644s, input_fired_time: 0.8481710553, output_fired_time: 0.0000000000, propagate_forward_time: 43.0496292114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3249893188
validation[          , genome  8775] predictions:    9859/  10000 (98.59%), best:    9885/10000 (98.85%), error:       445.40579, best error:       388.36047 on epoch:    49, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 578.4465332031s, input_fired_time: 6.8294105530, output_fired_time: 6.9471235275, propagate_forward_time: 216.2441406250, propagate_backward_time: 341.0478210449, weight_update_time: 0.5758221149, other_time: 7.3780212402
epoch time: 45.1010360718s, input_fired_time: 0.8483734727, output_fired_time: 0.0000000000, propagate_forward_time: 42.9365386963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3161239624
validation[          , genome  8775] predictions:    9874/  10000 (98.74%), best:    9885/10000 (98.85%), error:       408.40601, best error:       388.36047 on epoch:    49, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 582.1461791992s, input_fired_time: 6.8818435669, output_fired_time: 7.0026440620, propagate_forward_time: 218.1554107666, propagate_backward_time: 342.7005920410, weight_update_time: 0.5815405846, other_time: 7.4057312012
epoch time: 45.8439979553s, input_fired_time: 0.8598787785, output_fired_time: 0.0000000000, propagate_forward_time: 43.6640739441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3200454712
validation[          , genome  8775] predictions:    9871/  10000 (98.71%), best:    9885/10000 (98.85%), error:       424.06091, best error:       388.36047 on epoch:    49, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 578.7436523438s, input_fired_time: 6.8380970955, output_fired_time: 6.9634757042, propagate_forward_time: 216.8641357422, propagate_backward_time: 340.7247314453, weight_update_time: 0.5804727674, other_time: 7.3532104492
epoch time: 44.9846954346s, input_fired_time: 0.8496400714, output_fired_time: 0.0000000000, propagate_forward_time: 42.8179931641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3170623779
validation[          , genome  8775] predictions:    9876/  10000 (98.76%), best:    9885/10000 (98.85%), error:       417.94003, best error:       388.36047 on epoch:    49, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 576.1665649414s, input_fired_time: 6.8272342682, output_fired_time: 6.9090814590, propagate_forward_time: 215.5785064697, propagate_backward_time: 339.5078430176, weight_update_time: 0.5761263371, other_time: 7.3439636230
epoch time: 45.4739532471s, input_fired_time: 0.8613648415, output_fired_time: 0.0000000000, propagate_forward_time: 43.3079643250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3046226501
validation[          , genome  8775] predictions:    9880/  10000 (98.80%), best:    9885/10000 (98.85%), error:       416.53589, best error:       388.36047 on epoch:    49, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 581.8536987305s, input_fired_time: 6.8726377487, output_fired_time: 7.0121650696, propagate_forward_time: 217.3656158447, propagate_backward_time: 343.1987304688, weight_update_time: 0.5792025924, other_time: 7.4046020508
epoch time: 45.6641731262s, input_fired_time: 0.8531817794, output_fired_time: 0.0000000000, propagate_forward_time: 43.5076599121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3033332825
validation[          , genome  8775] predictions:    9890/  10000 (98.90%), best:    9885/10000 (98.85%), error:       398.14706, best error:       388.36047 on epoch:    49, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 579.4552612305s, input_fired_time: 6.8418259621, output_fired_time: 6.9501476288, propagate_forward_time: 216.8381195068, propagate_backward_time: 341.4485473633, weight_update_time: 0.5780792832, other_time: 7.3766479492
epoch time: 46.3867645264s, input_fired_time: 0.8708879948, output_fired_time: 0.0000000000, propagate_forward_time: 44.1971168518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3187599182
validation[          , genome  8775] predictions:    9873/  10000 (98.73%), best:    9885/10000 (98.85%), error:       407.59521, best error:       388.36047 on epoch:    49, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 581.2574462891s, input_fired_time: 6.8468775749, output_fired_time: 6.9870252609, propagate_forward_time: 216.8981781006, propagate_backward_time: 343.1378784180, weight_update_time: 0.5786893368, other_time: 7.3875122070
epoch time: 45.7482986450s, input_fired_time: 0.8586211205, output_fired_time: 0.0000000000, propagate_forward_time: 43.5769615173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3127174377
validation[          , genome  8775] predictions:    9877/  10000 (98.77%), best:    9885/10000 (98.85%), error:       397.23056, best error:       388.36047 on epoch:    49, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 583.2591552734s, input_fired_time: 6.8768172264, output_fired_time: 6.9935765266, propagate_forward_time: 218.4547424316, propagate_backward_time: 343.5174255371, weight_update_time: 0.5839742422, other_time: 7.4165649414
epoch time: 44.5664100647s, input_fired_time: 0.8424769044, output_fired_time: 0.0000000000, propagate_forward_time: 42.4135971069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3103370667
validation[          , genome  8775] predictions:    9875/  10000 (98.75%), best:    9885/10000 (98.85%), error:       397.72992, best error:       388.36047 on epoch:    49, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 584.3826904297s, input_fired_time: 6.8783712387, output_fired_time: 7.0370154381, propagate_forward_time: 218.1138916016, propagate_backward_time: 344.9584960938, weight_update_time: 0.5830314159, other_time: 7.3949584961
epoch time: 46.0348243713s, input_fired_time: 0.8582488298, output_fired_time: 0.0000000000, propagate_forward_time: 43.8621406555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3144340515
validation[          , genome  8775] predictions:    9871/  10000 (98.71%), best:    9885/10000 (98.85%), error:       411.82007, best error:       388.36047 on epoch:    49, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 585.7470703125s, input_fired_time: 6.9123268127, output_fired_time: 7.0091028214, propagate_forward_time: 218.9313659668, propagate_backward_time: 345.4751281738, weight_update_time: 0.5832237005, other_time: 7.4191284180
epoch time: 45.8698539734s, input_fired_time: 0.8611527085, output_fired_time: 0.0000000000, propagate_forward_time: 43.7018432617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3068580627
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       391.89182, best error:       388.36047 on epoch:    49, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 586.3258666992s, input_fired_time: 6.9128890038, output_fired_time: 7.0435781479, propagate_forward_time: 218.9766082764, propagate_backward_time: 345.9477844238, weight_update_time: 0.5818995237, other_time: 7.4449768066
epoch time: 45.8897666931s, input_fired_time: 0.8614103794, output_fired_time: 0.0000000000, propagate_forward_time: 43.7046012878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3237533569
validation[          , genome  8775] predictions:    9884/  10000 (98.84%), best:    9885/10000 (98.85%), error:       392.39728, best error:       388.36047 on epoch:    49, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 585.8331298828s, input_fired_time: 6.8997631073, output_fired_time: 7.0228104591, propagate_forward_time: 219.1670837402, propagate_backward_time: 345.3332824707, weight_update_time: 0.5850965977, other_time: 7.4101562500
epoch time: 46.7128257751s, input_fired_time: 0.8767520785, output_fired_time: 0.0000000000, propagate_forward_time: 44.4930572510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3430175781
validation[          , genome  8775] predictions:    9874/  10000 (98.74%), best:    9885/10000 (98.85%), error:       400.35037, best error:       388.36047 on epoch:    49, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 588.0326538086s, input_fired_time: 6.9275155067, output_fired_time: 7.0412583351, propagate_forward_time: 219.8145446777, propagate_backward_time: 346.7768249512, weight_update_time: 0.5911861658, other_time: 7.4725341797
epoch time: 45.7492332458s, input_fired_time: 0.8544141054, output_fired_time: 0.0000000000, propagate_forward_time: 43.5796508789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3151664734
validation[          , genome  8775] predictions:    9876/  10000 (98.76%), best:    9885/10000 (98.85%), error:       423.25208, best error:       388.36047 on epoch:    49, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 586.4727783203s, input_fired_time: 6.9225683212, output_fired_time: 7.0613636971, propagate_forward_time: 219.2609100342, propagate_backward_time: 345.8101501465, weight_update_time: 0.5831406713, other_time: 7.4178161621
epoch time: 46.2893905640s, input_fired_time: 0.8671427369, output_fired_time: 0.0000000000, propagate_forward_time: 44.0850563049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3371925354
validation[          , genome  8775] predictions:    9878/  10000 (98.78%), best:    9885/10000 (98.85%), error:       401.25122, best error:       388.36047 on epoch:    49, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 588.8520507813s, input_fired_time: 6.9379959106, output_fired_time: 7.1129531860, propagate_forward_time: 219.9906005859, propagate_backward_time: 347.4034729004, weight_update_time: 0.5866894722, other_time: 7.4070129395
epoch time: 46.4892044067s, input_fired_time: 0.8746530414, output_fired_time: 0.0000000000, propagate_forward_time: 44.2767219543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3378295898
validation[          , genome  8775] predictions:    9877/  10000 (98.77%), best:    9885/10000 (98.85%), error:       408.95236, best error:       388.36047 on epoch:    49, 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: 229.7613220215s, input_fired_time: 4.2450294495, output_fired_time: 0.0000000000, propagate_forward_time: 218.8163757324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6999206543
best training[          , genome  8775] predictions:   49953/  50000 (99.91%), best:    9885/10000 (98.85%), error:       390.12744, best error:       388.36047 on epoch:    49, 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: 46.2811508179s, input_fired_time: 0.8441292644, output_fired_time: 0.0000000000, propagate_forward_time: 44.1269187927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3101043701
   testing[          , genome  8775] predictions:    9890/  10000 (98.90%), best:    9885/10000 (98.85%), error:       348.07196, best error:       388.36047 on epoch:    49, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
17:27:54 (3396): called boinc_finish(0)

</stderr_txt>
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