Nameexact_genome_1517574602_54_18307_0
Workunit2991305
Created9 Feb 2018, 11:12:37 UTC
Sent9 Feb 2018, 11:34:48 UTC
Report deadline20 Mar 2018, 5:37:36 UTC
Received11 Feb 2018, 6:03:56 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID67439
Run time14 hours 14 min 46 sec
CPU time14 hours 12 min 17 sec
Validate stateInitial
Credit0.00
Device peak FLOPS4.54 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size176.53 MB
Peak swap size179.83 MB
Peak disk usage4.17 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3762817383
validation[          , genome 18307] predictions:    9882/  10000 (98.82%), best:    9883/10000 (98.83%), error:       376.69083, best error:       366.56577 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 455.2858886719s, input_fired_time: 7.8381662369, output_fired_time: 6.7168550491, propagate_forward_time: 172.0847930908, propagate_backward_time: 256.6820983887, weight_update_time: 0.3456738293, other_time: 11.9639587402
epoch time: 38.2280311584s, input_fired_time: 0.9829868674, output_fired_time: 0.0000000000, propagate_forward_time: 34.8031806946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4418640137
validation[          , genome 18307] predictions:    9851/  10000 (98.51%), best:    9883/10000 (98.83%), error:       458.22757, best error:       366.56577 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 461.7698974609s, input_fired_time: 7.9218740463, output_fired_time: 6.8011445999, propagate_forward_time: 176.0111389160, propagate_backward_time: 259.1784667969, weight_update_time: 0.3458686471, other_time: 11.8572692871
epoch time: 37.2639350891s, input_fired_time: 0.9453246593, output_fired_time: 0.0000000000, propagate_forward_time: 33.9594345093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3591766357
validation[          , genome 18307] predictions:    9880/  10000 (98.80%), best:    9883/10000 (98.83%), error:       400.36661, best error:       366.56577 on epoch:    29, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 456.1571655273s, input_fired_time: 7.8444986343, output_fired_time: 6.6844863892, propagate_forward_time: 172.9083404541, propagate_backward_time: 256.6020202637, weight_update_time: 0.3479829729, other_time: 12.1178283691
epoch time: 36.8956604004s, input_fired_time: 0.9494636655, output_fired_time: 0.0000000000, propagate_forward_time: 33.5646476746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3815498352
validation[          , genome 18307] predictions:    9882/  10000 (98.82%), best:    9882/10000 (98.82%), error:       362.41461, best error:       362.41461 on epoch:    36, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 458.1672363281s, input_fired_time: 7.8919057846, output_fired_time: 6.7053380013, propagate_forward_time: 174.3762969971, propagate_backward_time: 257.1951293945, weight_update_time: 0.3449093997, other_time: 11.9985351563
epoch time: 38.5523376465s, input_fired_time: 0.9738239050, output_fired_time: 0.0000000000, propagate_forward_time: 35.1283226013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4501914978
validation[          , genome 18307] predictions:    9869/  10000 (98.69%), best:    9882/10000 (98.82%), error:       373.52768, best error:       362.41461 on epoch:    36, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 460.9215698242s, input_fired_time: 7.9419236183, output_fired_time: 6.7513861656, propagate_forward_time: 175.5838928223, propagate_backward_time: 258.6914672852, weight_update_time: 0.3411938548, other_time: 11.9529113770
epoch time: 37.3513259888s, input_fired_time: 0.9530309439, output_fired_time: 0.0000000000, propagate_forward_time: 33.9994163513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3988800049
validation[          , genome 18307] predictions:    9866/  10000 (98.66%), best:    9882/10000 (98.82%), error:       420.13336, best error:       362.41461 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 457.2275695801s, input_fired_time: 7.8854312897, output_fired_time: 6.7167139053, propagate_forward_time: 173.3954315186, propagate_backward_time: 256.8735351563, weight_update_time: 0.3531871140, other_time: 12.3564453125
epoch time: 37.9475402832s, input_fired_time: 0.9671102166, output_fired_time: 0.0000000000, propagate_forward_time: 34.5045318604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4758987427
validation[          , genome 18307] predictions:    9865/  10000 (98.65%), best:    9882/10000 (98.82%), error:       405.16748, best error:       362.41461 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 456.1016235352s, input_fired_time: 7.8687505722, output_fired_time: 6.6611466408, propagate_forward_time: 173.0918426514, propagate_backward_time: 256.0582580566, weight_update_time: 0.3496004939, other_time: 12.4216613770
epoch time: 37.5022964478s, input_fired_time: 0.9678241014, output_fired_time: 0.0000000000, propagate_forward_time: 34.2065353394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3279380798
validation[          , genome 18307] predictions:    9868/  10000 (98.68%), best:    9882/10000 (98.82%), error:       411.93002, best error:       362.41461 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 460.1184997559s, input_fired_time: 7.9364733696, output_fired_time: 6.7407741547, propagate_forward_time: 175.2356719971, propagate_backward_time: 258.5619201660, weight_update_time: 0.3490001857, other_time: 11.6436462402
epoch time: 37.7181587219s, input_fired_time: 0.9618467093, output_fired_time: 0.0000000000, propagate_forward_time: 34.4864959717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2698173523
validation[          , genome 18307] predictions:    9870/  10000 (98.70%), best:    9882/10000 (98.82%), error:       404.30673, best error:       362.41461 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 457.2442626953s, input_fired_time: 7.8715629578, output_fired_time: 6.7431712151, propagate_forward_time: 173.3652191162, propagate_backward_time: 257.5198364258, weight_update_time: 0.3453625739, other_time: 11.7445068359
epoch time: 38.7828598022s, input_fired_time: 0.9791018367, output_fired_time: 0.0000000000, propagate_forward_time: 35.3767242432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4270324707
validation[          , genome 18307] predictions:    9861/  10000 (98.61%), best:    9882/10000 (98.82%), error:       428.99902, best error:       362.41461 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 454.4138793945s, input_fired_time: 7.8564100266, output_fired_time: 6.6428327560, propagate_forward_time: 171.6454315186, propagate_backward_time: 256.2195434570, weight_update_time: 0.3540441096, other_time: 12.0496826172
epoch time: 38.8913955688s, input_fired_time: 0.9961361885, output_fired_time: 0.0000000000, propagate_forward_time: 35.4656028748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4296569824
validation[          , genome 18307] predictions:    9873/  10000 (98.73%), best:    9882/10000 (98.82%), error:       390.15891, best error:       362.41461 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 460.5433654785s, input_fired_time: 7.9499826431, output_fired_time: 6.8145670891, propagate_forward_time: 175.4400482178, propagate_backward_time: 258.3762207031, weight_update_time: 0.3587808013, other_time: 11.9625244141
epoch time: 36.9059600830s, input_fired_time: 0.9622544646, output_fired_time: 0.0000000000, propagate_forward_time: 33.6224021912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3213043213
validation[          , genome 18307] predictions:    9879/  10000 (98.79%), best:    9879/10000 (98.79%), error:       349.37439, best error:       349.37439 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 458.5413513184s, input_fired_time: 7.9369716644, output_fired_time: 6.7558779716, propagate_forward_time: 174.7018432617, propagate_backward_time: 257.4061889648, weight_update_time: 0.3547661901, other_time: 11.7404479980
epoch time: 36.7748184204s, input_fired_time: 0.9505341053, output_fired_time: 0.0000000000, propagate_forward_time: 33.6145133972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2097702026
validation[          , genome 18307] predictions:    9873/  10000 (98.73%), best:    9879/10000 (98.79%), error:       367.53519, best error:       349.37439 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 456.6969604492s, input_fired_time: 7.9213690758, output_fired_time: 6.7189669609, propagate_forward_time: 173.8569488525, propagate_backward_time: 256.0094299316, weight_update_time: 0.3515210450, other_time: 12.1902770996
epoch time: 38.5826988220s, input_fired_time: 0.9930533767, output_fired_time: 0.0000000000, propagate_forward_time: 35.0366325378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5530128479
validation[          , genome 18307] predictions:    9883/  10000 (98.83%), best:    9879/10000 (98.79%), error:       379.65881, best error:       349.37439 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 455.9940490723s, input_fired_time: 7.9145240784, output_fired_time: 6.7799487114, propagate_forward_time: 172.5704498291, propagate_backward_time: 256.2804565430, weight_update_time: 0.3588377535, other_time: 12.4486694336
epoch time: 38.9135017395s, input_fired_time: 0.9904356003, output_fired_time: 0.0000000000, propagate_forward_time: 35.4562721252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4667930603
validation[          , genome 18307] predictions:    9863/  10000 (98.63%), best:    9879/10000 (98.79%), error:       400.87027, best error:       349.37439 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_1517574602_54_18307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_54_18307_0_r1627449429_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: 9879
read best_validation_error: 349.374
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: 18307
read normal distribution: '1 0.408120781183243 0.637524425983429'
generator_str: '1131096431'
read generator: 1131096431
read generated_by_map:
1 change_size_x 1
reading 89 nodes.
reading 210 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!
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_1517574602_54_18307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_54_18307_0_r1627449429_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: 9879
read best_validation_error: 349.374
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: 18307
read normal distribution: '1 0.408120781183243 0.637524425983429'
generator_str: '1131096431'
read generator: 1131096431
read generated_by_map:
1 change_size_x 1
reading 89 nodes.
reading 210 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: 470.432281494141s, input_fired_time: 8.27606105804443, output_fired_time: 7.23274707794189, propagate_forward_time: 178.706344604492, propagate_backward_time: 264.510803222656, weight_update_time: 0.418392419815063, other_time: 11.706298828125
epoch time: 39.09814453125s, input_fired_time: 1.05033612251282, output_fired_time: 0, propagate_forward_time: 35.653736114502, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.39407348632813
validation[          , genome 18307] predictions:    9893/  10000 (98.93%), best:    9879/10000 (98.79%), error:       371.42334, best error:       349.37439 on epoch:    44, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 477.4988403320s, input_fired_time: 8.3699254990, output_fired_time: 7.3550434113, propagate_forward_time: 181.1771240234, propagate_backward_time: 268.0278015137, weight_update_time: 0.4255885184, other_time: 12.5689392090
epoch time: 39.0893898010s, input_fired_time: 1.0284961462, output_fired_time: 0.0000000000, propagate_forward_time: 35.7016868591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3592071533
validation[          , genome 18307] predictions:    9900/  10000 (99.00%), best:    9900/10000 (99.00%), error:       346.11771, best error:       346.11771 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 474.8944396973s, input_fired_time: 8.3381223679, output_fired_time: 7.3394765854, propagate_forward_time: 179.6104583740, propagate_backward_time: 267.5369262695, weight_update_time: 0.4237404764, other_time: 12.0694580078
epoch time: 39.5930061340s, input_fired_time: 1.0463277102, output_fired_time: 0.0000000000, propagate_forward_time: 36.2483863831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2982902527
validation[          , genome 18307] predictions:    9858/  10000 (98.58%), best:    9900/10000 (99.00%), error:       437.70850, best error:       346.11771 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 477.1799621582s, input_fired_time: 8.3876905441, output_fired_time: 7.3269448280, propagate_forward_time: 181.0490722656, propagate_backward_time: 268.1968688965, weight_update_time: 0.4362225831, other_time: 12.2193908691
epoch time: 39.5080947876s, input_fired_time: 1.0587261915, output_fired_time: 0.0000000000, propagate_forward_time: 36.1869163513, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2624511719
validation[          , genome 18307] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       308.41330, best error:       308.41330 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 478.0060729980s, input_fired_time: 8.4205837250, output_fired_time: 7.3739476204, propagate_forward_time: 181.0605010986, propagate_backward_time: 268.8497924805, weight_update_time: 0.4274229407, other_time: 12.3012084961
epoch time: 39.2942543030s, input_fired_time: 1.0472846031, output_fired_time: 0.0000000000, propagate_forward_time: 35.8757743835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3711967468
validation[          , genome 18307] predictions:    9880/  10000 (98.80%), best:    9904/10000 (99.04%), error:       401.41238, best error:       308.41330 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 476.0236206055s, input_fired_time: 8.3894786835, output_fired_time: 7.3356614113, propagate_forward_time: 180.3212738037, propagate_backward_time: 267.6694641113, weight_update_time: 0.4231960475, other_time: 12.3077697754
epoch time: 39.9898948669s, input_fired_time: 1.0778914690, output_fired_time: 0.0000000000, propagate_forward_time: 36.5236701965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3883323669
validation[          , genome 18307] predictions:    9884/  10000 (98.84%), best:    9904/10000 (99.04%), error:       406.85788, best error:       308.41330 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 477.3810119629s, input_fired_time: 8.4128580093, output_fired_time: 7.4231023788, propagate_forward_time: 180.5002288818, propagate_backward_time: 268.3616943359, weight_update_time: 0.4262207448, other_time: 12.6831054688
epoch time: 40.0708656311s, input_fired_time: 1.0805181265, output_fired_time: 0.0000000000, propagate_forward_time: 36.5834045410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4069442749
validation[          , genome 18307] predictions:    9906/  10000 (99.06%), best:    9904/10000 (99.04%), error:       330.00183, best error:       308.41330 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 477.2041015625s, input_fired_time: 8.4401741028, output_fired_time: 7.3622245789, propagate_forward_time: 180.8520965576, propagate_backward_time: 268.1383666992, weight_update_time: 0.4370989799, other_time: 12.4112548828
epoch time: 39.6420326233s, input_fired_time: 1.0574737787, output_fired_time: 0.0000000000, propagate_forward_time: 36.2568893433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3276710510
validation[          , genome 18307] predictions:    9898/  10000 (98.98%), best:    9904/10000 (99.04%), error:       322.22775, best error:       308.41330 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 475.9534606934s, input_fired_time: 8.3764867783, output_fired_time: 7.4422001839, propagate_forward_time: 179.5056304932, propagate_backward_time: 268.3793029785, weight_update_time: 0.4440756440, other_time: 12.2498474121
epoch time: 39.1880950928s, input_fired_time: 1.0452300310, output_fired_time: 0.0000000000, propagate_forward_time: 35.8615264893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2813377380
validation[          , genome 18307] predictions:    9896/  10000 (98.96%), best:    9904/10000 (99.04%), error:       323.90280, best error:       308.41330 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 476.9830017090s, input_fired_time: 8.4576883316, output_fired_time: 7.4619731903, propagate_forward_time: 181.0036163330, propagate_backward_time: 267.7978515625, weight_update_time: 0.4398197830, other_time: 12.2618408203
epoch time: 39.3552131653s, input_fired_time: 1.0719437599, output_fired_time: 0.0000000000, propagate_forward_time: 35.9729309082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3103370667
validation[          , genome 18307] predictions:    9871/  10000 (98.71%), best:    9904/10000 (99.04%), error:       430.00635, best error:       308.41330 on epoch:    51, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 478.6779479980s, input_fired_time: 8.4615135193, output_fired_time: 7.5120310783, propagate_forward_time: 181.6103515625, propagate_backward_time: 269.0730895996, weight_update_time: 0.4355416298, other_time: 12.0209655762
epoch time: 39.5364799500s, input_fired_time: 1.0652722120, output_fired_time: 0.0000000000, propagate_forward_time: 36.1616935730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3095130920
validation[          , genome 18307] predictions:    9873/  10000 (98.73%), best:    9904/10000 (99.04%), error:       419.83801, best error:       308.41330 on epoch:    51, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 478.0088806152s, input_fired_time: 8.4241657257, output_fired_time: 7.3661446571, propagate_forward_time: 181.6624145508, propagate_backward_time: 268.6752014160, weight_update_time: 0.4381655455, other_time: 11.8809509277
epoch time: 39.1665878296s, input_fired_time: 1.0786058903, output_fired_time: 0.0000000000, propagate_forward_time: 35.8464660645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2415161133
validation[          , genome 18307] predictions:    9892/  10000 (98.92%), best:    9904/10000 (99.04%), error:       336.76678, best error:       308.41330 on epoch:    51, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 477.6755676270s, input_fired_time: 8.4504547119, output_fired_time: 7.4388570786, propagate_forward_time: 181.6401824951, propagate_backward_time: 268.3499145508, weight_update_time: 0.4333319068, other_time: 11.7961425781
epoch time: 39.1866645813s, input_fired_time: 1.0746872425, output_fired_time: 0.0000000000, propagate_forward_time: 35.8961791992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2157974243
validation[          , genome 18307] predictions:    9893/  10000 (98.93%), best:    9904/10000 (99.04%), error:       336.94986, best error:       308.41330 on epoch:    51, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 476.5953674316s, input_fired_time: 8.4985275269, output_fired_time: 7.3857617378, propagate_forward_time: 181.5798339844, propagate_backward_time: 267.6756286621, weight_update_time: 0.4270156324, other_time: 11.4555969238
epoch time: 38.8686141968s, input_fired_time: 1.0686353445, output_fired_time: 0.0000000000, propagate_forward_time: 35.6726913452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1272888184
validation[          , genome 18307] predictions:    9853/  10000 (98.53%), best:    9904/10000 (99.04%), error:       478.36978, best error:       308.41330 on epoch:    51, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 476.8404235840s, input_fired_time: 8.4872112274, output_fired_time: 7.4278955460, propagate_forward_time: 180.9291534424, propagate_backward_time: 268.1563415527, weight_update_time: 0.4349120557, other_time: 11.8398132324
epoch time: 39.2969017029s, input_fired_time: 1.0652765036, output_fired_time: 0.0000000000, propagate_forward_time: 35.9238853455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3077392578
validation[          , genome 18307] predictions:    9893/  10000 (98.93%), best:    9904/10000 (99.04%), error:       344.39505, best error:       308.41330 on epoch:    51, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 479.3869628906s, input_fired_time: 8.4931020737, output_fired_time: 7.4483141899, propagate_forward_time: 181.5615234375, propagate_backward_time: 269.8616638184, weight_update_time: 0.4328230917, other_time: 12.0223693848
epoch time: 39.8031616211s, input_fired_time: 1.0942524672, output_fired_time: 0.0000000000, propagate_forward_time: 36.3942527771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3146553040
validation[          , genome 18307] predictions:    9884/  10000 (98.84%), best:    9904/10000 (99.04%), error:       326.32056, best error:       308.41330 on epoch:    51, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 477.7169799805s, input_fired_time: 8.4952955246, output_fired_time: 7.4206357002, propagate_forward_time: 181.4834136963, propagate_backward_time: 268.7044677734, weight_update_time: 0.4274359941, other_time: 11.6131591797
epoch time: 39.7424163818s, input_fired_time: 1.0954773426, output_fired_time: 0.0000000000, propagate_forward_time: 36.4258956909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2210426331
validation[          , genome 18307] predictions:    9868/  10000 (98.68%), best:    9904/10000 (99.04%), error:       421.10034, best error:       308.41330 on epoch:    51, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 477.7286376953s, input_fired_time: 8.4724435806, output_fired_time: 7.5068631172, propagate_forward_time: 180.9631805420, propagate_backward_time: 269.2599182129, weight_update_time: 0.4329718053, other_time: 11.5262145996
epoch time: 39.5889320374s, input_fired_time: 1.0654819012, output_fired_time: 0.0000000000, propagate_forward_time: 36.3640289307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1594200134
validation[          , genome 18307] predictions:    9895/  10000 (98.95%), best:    9904/10000 (99.04%), error:       319.25369, best error:       308.41330 on epoch:    51, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 480.0342102051s, input_fired_time: 8.5026893616, output_fired_time: 7.5027585030, propagate_forward_time: 182.4264221191, propagate_backward_time: 269.0378417969, weight_update_time: 0.4417207241, other_time: 12.5645141602
epoch time: 39.8303833008s, input_fired_time: 1.1002074480, output_fired_time: 0.0000000000, propagate_forward_time: 36.2541465759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4760284424
validation[          , genome 18307] predictions:    9888/  10000 (98.88%), best:    9904/10000 (99.04%), error:       331.48734, best error:       308.41330 on epoch:    51, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 480.4557189941s, input_fired_time: 8.5619411469, output_fired_time: 7.5178923607, propagate_forward_time: 182.9112701416, propagate_backward_time: 268.8897705078, weight_update_time: 0.4314620793, other_time: 12.5748291016
epoch time: 39.6978149414s, input_fired_time: 1.0559656620, output_fired_time: 0.0000000000, propagate_forward_time: 36.1634521484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4783973694
validation[          , genome 18307] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       295.03802, best error:       295.03802 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 480.2781982422s, input_fired_time: 8.4972696304, output_fired_time: 7.4923820496, propagate_forward_time: 181.7225952148, propagate_backward_time: 269.5516052246, weight_update_time: 0.4402776957, other_time: 13.0143432617
epoch time: 39.9602470398s, input_fired_time: 1.0844647884, output_fired_time: 0.0000000000, propagate_forward_time: 36.3617439270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5140380859
validation[          , genome 18307] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       325.25983, best error:       295.03802 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 479.7274475098s, input_fired_time: 8.4661359787, output_fired_time: 7.4365468025, propagate_forward_time: 181.3390502930, propagate_backward_time: 269.2056579590, weight_update_time: 0.4356407225, other_time: 13.2800598145
epoch time: 40.1354064941s, input_fired_time: 1.0750635862, output_fired_time: 0.0000000000, propagate_forward_time: 36.5026397705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5577049255
validation[          , genome 18307] predictions:    9899/  10000 (98.99%), best:    9906/10000 (99.06%), error:       303.52963, best error:       295.03802 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 480.5487365723s, input_fired_time: 8.5024671555, output_fired_time: 7.4252676964, propagate_forward_time: 181.8584594727, propagate_backward_time: 269.4646911621, weight_update_time: 0.4257465005, other_time: 13.2978515625
epoch time: 39.9844665527s, input_fired_time: 1.1170027256, output_fired_time: 0.0000000000, propagate_forward_time: 36.2870559692, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5804061890
validation[          , genome 18307] predictions:    9891/  10000 (98.91%), best:    9906/10000 (99.06%), error:       339.04410, best error:       295.03802 on epoch:    67, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 479.6834411621s, input_fired_time: 8.5414028168, output_fired_time: 7.5322723389, propagate_forward_time: 181.7620544434, propagate_backward_time: 268.9070434570, weight_update_time: 0.4497294128, other_time: 12.9406433105
epoch time: 39.8938026428s, input_fired_time: 1.0750033855, output_fired_time: 0.0000000000, propagate_forward_time: 36.3533859253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4654121399
validation[          , genome 18307] predictions:    9878/  10000 (98.78%), best:    9906/10000 (99.06%), error:       363.80942, best error:       295.03802 on epoch:    67, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 481.7008972168s, input_fired_time: 8.5440034866, output_fired_time: 7.5083422661, propagate_forward_time: 182.5184478760, propagate_backward_time: 270.1071166992, weight_update_time: 0.4407581389, other_time: 13.0230102539
epoch time: 39.5415420532s, input_fired_time: 1.0805456638, output_fired_time: 0.0000000000, propagate_forward_time: 36.0311775208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4298171997
validation[          , genome 18307] predictions:    9886/  10000 (98.86%), best:    9906/10000 (99.06%), error:       340.09674, best error:       295.03802 on epoch:    67, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 478.6182250977s, input_fired_time: 8.4825677872, output_fired_time: 7.4884872437, propagate_forward_time: 181.1638793945, propagate_backward_time: 269.0337524414, weight_update_time: 0.4332184792, other_time: 12.4495239258
epoch time: 39.4116058350s, input_fired_time: 1.0750834942, output_fired_time: 0.0000000000, propagate_forward_time: 35.9440765381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3924446106
validation[          , genome 18307] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       299.03323, best error:       295.03802 on epoch:    67, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 480.2955322266s, input_fired_time: 8.5322446823, output_fired_time: 7.4849724770, propagate_forward_time: 182.2165374756, propagate_backward_time: 269.1486816406, weight_update_time: 0.4527591467, other_time: 12.9130859375
epoch time: 39.4505538940s, input_fired_time: 1.0805772543, output_fired_time: 0.0000000000, propagate_forward_time: 35.9134902954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4564857483
validation[          , genome 18307] predictions:    9884/  10000 (98.84%), best:    9906/10000 (99.06%), error:       339.93521, best error:       295.03802 on epoch:    67, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 478.9733581543s, input_fired_time: 8.4803276062, output_fired_time: 7.5184836388, propagate_forward_time: 181.1717987061, propagate_backward_time: 268.9719543457, weight_update_time: 0.4304642081, other_time: 12.8307800293
epoch time: 39.4207878113s, input_fired_time: 1.0776197910, output_fired_time: 0.0000000000, propagate_forward_time: 35.8043632507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5388031006
validation[          , genome 18307] predictions:    9888/  10000 (98.88%), best:    9906/10000 (99.06%), error:       340.52078, best error:       295.03802 on epoch:    67, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 480.3551940918s, input_fired_time: 8.5170984268, output_fired_time: 7.5164799690, propagate_forward_time: 181.9895324707, propagate_backward_time: 269.4815673828, weight_update_time: 0.4348749816, other_time: 12.8505249023
epoch time: 40.5829620361s, input_fired_time: 1.0916510820, output_fired_time: 0.0000000000, propagate_forward_time: 36.9912948608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5000152588
validation[          , genome 18307] predictions:    9897/  10000 (98.97%), best:    9906/10000 (99.06%), error:       328.95145, best error:       295.03802 on epoch:    67, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 479.3745422363s, input_fired_time: 8.4889717102, output_fired_time: 7.4459805489, propagate_forward_time: 181.7352600098, propagate_backward_time: 268.9349670410, weight_update_time: 0.4461667240, other_time: 12.7693481445
epoch time: 39.9284057617s, input_fired_time: 1.0927337408, output_fired_time: 0.0000000000, propagate_forward_time: 36.3143997192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5212707520
validation[          , genome 18307] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       303.59641, best error:       295.03802 on epoch:    67, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 479.1993103027s, input_fired_time: 8.4979753494, output_fired_time: 7.4627232552, propagate_forward_time: 181.4011535645, propagate_backward_time: 269.1527404785, weight_update_time: 0.4394536018, other_time: 12.6846923828
epoch time: 40.1527404785s, input_fired_time: 1.1136856079, output_fired_time: 0.0000000000, propagate_forward_time: 36.6055221558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4335327148
validation[          , genome 18307] predictions:    9892/  10000 (98.92%), best:    9906/10000 (99.06%), error:       336.01065, best error:       295.03802 on epoch:    67, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 480.3661499023s, input_fired_time: 8.5342340469, output_fired_time: 7.5047907829, propagate_forward_time: 182.4448852539, propagate_backward_time: 269.2357788086, weight_update_time: 0.4452507198, other_time: 12.6464538574
epoch time: 40.0065765381s, input_fired_time: 1.0876182318, output_fired_time: 0.0000000000, propagate_forward_time: 36.3596725464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5592842102
validation[          , genome 18307] predictions:    9907/  10000 (99.07%), best:    9906/10000 (99.06%), error:       304.46667, best error:       295.03802 on epoch:    67, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 481.1662597656s, input_fired_time: 8.4941082001, output_fired_time: 7.5019888878, propagate_forward_time: 181.7537078857, propagate_backward_time: 270.2811279297, weight_update_time: 0.4563800693, other_time: 13.1353149414
epoch time: 39.6636695862s, input_fired_time: 1.0794725418, output_fired_time: 0.0000000000, propagate_forward_time: 36.1113471985, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4728507996
validation[          , genome 18307] predictions:    9889/  10000 (98.89%), best:    9906/10000 (99.06%), error:       333.36603, best error:       295.03802 on epoch:    67, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 479.7406616211s, input_fired_time: 8.5395631790, output_fired_time: 7.4527235031, propagate_forward_time: 181.7965698242, propagate_backward_time: 268.9760437012, weight_update_time: 0.4424425662, other_time: 12.9757690430
epoch time: 39.8326835632s, input_fired_time: 1.0956680775, output_fired_time: 0.0000000000, propagate_forward_time: 36.2221412659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5148735046
validation[          , genome 18307] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       291.08624, best error:       291.08624 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 478.8733215332s, input_fired_time: 8.4707937241, output_fired_time: 7.4608426094, propagate_forward_time: 180.8809356689, propagate_backward_time: 269.0616760254, weight_update_time: 0.4259895384, other_time: 12.9990539551
epoch time: 40.0398826599s, input_fired_time: 1.1099356413, output_fired_time: 0.0000000000, propagate_forward_time: 36.4055938721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5243530273
validation[          , genome 18307] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       309.79114, best error:       291.08624 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 480.3681640625s, input_fired_time: 8.5082101822, output_fired_time: 7.4905586243, propagate_forward_time: 181.5214538574, propagate_backward_time: 269.7526245117, weight_update_time: 0.4387361705, other_time: 13.0953063965
epoch time: 40.3873748779s, input_fired_time: 1.0979279280, output_fired_time: 0.0000000000, propagate_forward_time: 36.7720680237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5173797607
validation[          , genome 18307] predictions:    9900/  10000 (99.00%), best:    9905/10000 (99.05%), error:       307.07962, best error:       291.08624 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 481.3053894043s, input_fired_time: 8.5227365494, output_fired_time: 7.4956727028, propagate_forward_time: 181.8606414795, propagate_backward_time: 270.3008728027, weight_update_time: 0.4429896772, other_time: 13.1254577637
epoch time: 39.5227966309s, input_fired_time: 1.0608421564, output_fired_time: 0.0000000000, propagate_forward_time: 35.9995193481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4624366760
validation[          , genome 18307] predictions:    9909/  10000 (99.09%), best:    9905/10000 (99.05%), error:       307.23911, best error:       291.08624 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 479.9625244141s, input_fired_time: 8.4910278320, output_fired_time: 7.4186210632, propagate_forward_time: 181.4918060303, propagate_backward_time: 269.5831298828, weight_update_time: 0.4416888654, other_time: 12.9779663086
epoch time: 40.1181373596s, input_fired_time: 1.0972212553, output_fired_time: 0.0000000000, propagate_forward_time: 36.4354095459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5855064392
validation[          , genome 18307] predictions:    9894/  10000 (98.94%), best:    9905/10000 (99.05%), error:       334.01706, best error:       291.08624 on epoch:    81, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 481.2307739258s, input_fired_time: 8.5501585007, output_fired_time: 7.4890193939, propagate_forward_time: 181.9005279541, propagate_backward_time: 270.1132507324, weight_update_time: 0.4594360888, other_time: 13.1778259277
epoch time: 39.6988754272s, input_fired_time: 1.0774828196, output_fired_time: 0.0000000000, propagate_forward_time: 36.1125106812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5088806152
validation[          , genome 18307] predictions:    9903/  10000 (99.03%), best:    9905/10000 (99.05%), error:       312.28778, best error:       291.08624 on epoch:    81, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 478.7829284668s, input_fired_time: 8.4651470184, output_fired_time: 7.4392738342, propagate_forward_time: 180.8803100586, propagate_backward_time: 268.9252319336, weight_update_time: 0.4384716451, other_time: 13.0729675293
epoch time: 39.6563262939s, input_fired_time: 1.0720800161, output_fired_time: 0.0000000000, propagate_forward_time: 36.0377769470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5464706421
validation[          , genome 18307] predictions:    9907/  10000 (99.07%), best:    9905/10000 (99.05%), error:       301.26248, best error:       291.08624 on epoch:    81, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 479.4289550781s, input_fired_time: 8.4711790085, output_fired_time: 7.4282174110, propagate_forward_time: 181.3316497803, propagate_backward_time: 269.0135803223, weight_update_time: 0.4415666163, other_time: 13.1842956543
epoch time: 39.7936286926s, input_fired_time: 1.0915130377, output_fired_time: 0.0000000000, propagate_forward_time: 36.1808433533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5212707520
validation[          , genome 18307] predictions:    9902/  10000 (99.02%), best:    9905/10000 (99.05%), error:       300.22980, best error:       291.08624 on epoch:    81, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 481.0184020996s, input_fired_time: 8.5329217911, output_fired_time: 7.4805045128, propagate_forward_time: 181.8852233887, propagate_backward_time: 269.7918395996, weight_update_time: 0.4533183575, other_time: 13.3279113770
epoch time: 40.1432571411s, input_fired_time: 1.0900896788, output_fired_time: 0.0000000000, propagate_forward_time: 36.5055198669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5476493835
validation[          , genome 18307] predictions:    9903/  10000 (99.03%), best:    9905/10000 (99.05%), error:       302.51285, best error:       291.08624 on epoch:    81, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 482.2929992676s, input_fired_time: 8.5741834641, output_fired_time: 7.5415592194, propagate_forward_time: 182.2120819092, propagate_backward_time: 270.3285217285, weight_update_time: 0.4607527256, other_time: 13.6366271973
epoch time: 39.9308776855s, input_fired_time: 1.0822162628, output_fired_time: 0.0000000000, propagate_forward_time: 36.1866188049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6620445251
validation[          , genome 18307] predictions:    9903/  10000 (99.03%), best:    9905/10000 (99.05%), error:       298.87302, best error:       291.08624 on epoch:    81, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 478.9571533203s, input_fired_time: 8.5736150742, output_fired_time: 7.4735217094, propagate_forward_time: 181.1403503418, propagate_backward_time: 268.2835388184, weight_update_time: 0.4497452080, other_time: 13.4861450195
epoch time: 40.1131858826s, input_fired_time: 1.1170367002, output_fired_time: 0.0000000000, propagate_forward_time: 36.3683280945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6278228760
validation[          , genome 18307] predictions:    9912/  10000 (99.12%), best:    9905/10000 (99.05%), error:       295.67242, best error:       291.08624 on epoch:    81, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 473.8614807129s, input_fired_time: 8.4593811035, output_fired_time: 7.4494075775, propagate_forward_time: 178.5435028076, propagate_backward_time: 266.0838012695, weight_update_time: 0.4461807907, other_time: 13.3253784180
epoch time: 38.8904533386s, input_fired_time: 1.0739467144, output_fired_time: 0.0000000000, propagate_forward_time: 35.3053703308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5111351013
validation[          , genome 18307] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       289.33414, best error:       289.33414 on epoch:    92, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 467.9558410645s, input_fired_time: 8.3425674438, output_fired_time: 7.2602005005, propagate_forward_time: 176.0702514648, propagate_backward_time: 263.1938781738, weight_update_time: 0.4419246018, other_time: 13.0889587402
epoch time: 39.2362022400s, input_fired_time: 1.0871844292, output_fired_time: 0.0000000000, propagate_forward_time: 35.6168251038, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5321922302
validation[          , genome 18307] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       315.81839, best error:       289.33414 on epoch:    92, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 470.5402832031s, input_fired_time: 8.4028778076, output_fired_time: 7.3589534760, propagate_forward_time: 177.3166656494, propagate_backward_time: 264.4013366699, weight_update_time: 0.4533098638, other_time: 13.0604553223
epoch time: 39.8916854858s, input_fired_time: 1.1003601551, output_fired_time: 0.0000000000, propagate_forward_time: 36.3302116394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4611129761
validation[          , genome 18307] predictions:    9899/  10000 (98.99%), best:    9910/10000 (99.10%), error:       299.21356, best error:       289.33414 on epoch:    92, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 481.1461791992s, input_fired_time: 8.5921564102, output_fired_time: 7.5918474197, propagate_forward_time: 181.9903869629, propagate_backward_time: 269.9285583496, weight_update_time: 0.4428568780, other_time: 13.0432128906
epoch time: 40.0134582520s, input_fired_time: 1.0861674547, output_fired_time: 0.0000000000, propagate_forward_time: 36.2576522827, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6696395874
validation[          , genome 18307] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       298.56519, best error:       289.33414 on epoch:    92, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 482.2831420898s, input_fired_time: 8.5844535828, output_fired_time: 7.6904101372, propagate_forward_time: 181.6911163330, propagate_backward_time: 270.8825988770, weight_update_time: 0.4606153071, other_time: 13.4346008301
epoch time: 40.0018501282s, input_fired_time: 1.0835314989, output_fired_time: 0.0000000000, propagate_forward_time: 36.3234405518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5948791504
validation[          , genome 18307] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       288.30191, best error:       288.30191 on epoch:    96, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 480.9171447754s, input_fired_time: 8.5643014908, output_fired_time: 7.5918350220, propagate_forward_time: 181.3688354492, propagate_backward_time: 270.2958374023, weight_update_time: 0.4532675445, other_time: 13.0963439941
epoch time: 39.8465309143s, input_fired_time: 1.0922186375, output_fired_time: 0.0000000000, propagate_forward_time: 36.2411346436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5131759644
validation[          , genome 18307] predictions:    9914/  10000 (99.14%), best:    9906/10000 (99.06%), error:       292.98148, best error:       288.30191 on epoch:    96, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 479.8059997559s, input_fired_time: 8.5561399460, output_fired_time: 7.5055875778, propagate_forward_time: 181.6817321777, propagate_backward_time: 269.1467590332, weight_update_time: 0.4557289779, other_time: 12.9157714844
epoch time: 39.6722297668s, input_fired_time: 1.0923463106, output_fired_time: 0.0000000000, propagate_forward_time: 36.1576881409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4221954346
validation[          , genome 18307] predictions:    9913/  10000 (99.13%), best:    9906/10000 (99.06%), error:       293.28079, best error:       288.30191 on epoch:    96, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

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_1517574602_54_18307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_54_18307_0_r1627449429_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: 0.986946
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.79016e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.11606e-06
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: 99
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 96
read number_validation_images: 10000
read best_validation_predictions: 9906
read best_validation_error: 288.302
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: 18307
read normal distribution: '1 0.408120781183243 0.637524425983429'
generator_str: '1349206626'
read generator: 1349206626
read generated_by_map:
1 change_size_x 1
reading 89 nodes.
reading 210 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: 471.541961669922s, input_fired_time: 8.3917236328125, output_fired_time: 7.33160305023193, propagate_forward_time: 178.720809936523, propagate_backward_time: 264.571990966797, weight_update_time: 0.428800731897354, other_time: 12.5258483886719
epoch time: 39.6590232849121s, input_fired_time: 1.106614112854, output_fired_time: 0, propagate_forward_time: 36.1800498962402, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.37236022949219
validation[          , genome 18307] predictions:    9899/  10000 (98.99%), best:    9906/10000 (99.06%), error:       306.34326, best error:       288.30191 on epoch:    96, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 478.6085205078s, input_fired_time: 8.5593757629, output_fired_time: 7.5299830437, propagate_forward_time: 181.0955810547, propagate_backward_time: 268.8170776367, weight_update_time: 0.4570862651, other_time: 12.6065063477
epoch time: 39.7941970825s, input_fired_time: 1.0817692280, output_fired_time: 0.0000000000, propagate_forward_time: 36.3835067749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3289222717
validation[          , genome 18307] predictions:    9908/  10000 (99.08%), best:    9906/10000 (99.06%), error:       304.13397, best error:       288.30191 on epoch:    96, 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: 198.3757781982s, input_fired_time: 5.5040001869, output_fired_time: 0.0000000000, propagate_forward_time: 180.8332824707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.0384979248
best training[          , genome 18307] predictions:   49999/  50000 (100.00%), best:    9906/10000 (99.06%), error:       145.92101, best error:       288.30191 on epoch:    96, 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: 40.1975593567s, input_fired_time: 1.1012771130, output_fired_time: 0.0000000000, propagate_forward_time: 36.6736373901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4226455688
   testing[          , genome 18307] predictions:    9917/  10000 (99.17%), best:    9906/10000 (99.06%), error:       273.50864, best error:       288.30191 on epoch:    96, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
10:02:33 (13372): called boinc_finish(0)

</stderr_txt>
]]>