Nameexact_genome_1540784103_183_5366_1
Workunit4076058
Created29 Oct 2018, 4:18:30 UTC
Sent29 Oct 2018, 4:31:27 UTC
Report deadline23 Dec 2018, 18:32:55 UTC
Received9 Dec 2018, 14:33:58 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time1 days 0 hours 47 min 1 sec
CPU time1 days 0 hours 9 min 1 sec
Validate stateValid
Credit13,896.09
Device peak FLOPS3.80 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size512.89 MB
Peak swap size532.53 MB
Peak disk usage8.14 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
edictions:    5516/  10000 (55.16%), best:    5622/10000 (56.22%), error:     13536.15430, best error:     13216.24121 on epoch:    31, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1112.1235351563s, input_fired_time: 6.9113583565, output_fired_time: 6.2329702377, propagate_forward_time: 415.9139709473, propagate_backward_time: 671.2522583008, weight_update_time: 1.2875480652, other_time: 11.8130493164
epoch time: 84.7644271851s, input_fired_time: 0.8559935093, output_fired_time: 0.0000000000, propagate_forward_time: 81.8239746094, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0844573975
validation[          , genome  5366] predictions:    5587/  10000 (55.87%), best:    5622/10000 (56.22%), error:     13544.62207, best error:     13216.24121 on epoch:    31, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1088.7770996094s, input_fired_time: 6.7459640503, output_fired_time: 6.2323384285, propagate_forward_time: 408.0566406250, propagate_backward_time: 656.1996459961, weight_update_time: 1.1325489283, other_time: 11.5425415039
epoch time: 85.1476593018s, input_fired_time: 0.8097428679, output_fired_time: 0.0000000000, propagate_forward_time: 82.3929595947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9449539185
validation[          , genome  5366] predictions:    5665/  10000 (56.65%), best:    5622/10000 (56.22%), error:     13396.07422, best error:     13216.24121 on epoch:    31, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1082.2568359375s, input_fired_time: 6.7333378792, output_fired_time: 5.8785028458, propagate_forward_time: 403.7503662109, propagate_backward_time: 654.4509277344, weight_update_time: 1.2265784740, other_time: 11.4436035156
epoch time: 82.9774475098s, input_fired_time: 0.9323215485, output_fired_time: 0.0000000000, propagate_forward_time: 80.0862579346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9588699341
validation[          , genome  5366] predictions:    5639/  10000 (56.39%), best:    5622/10000 (56.22%), error:     13234.32813, best error:     13216.24121 on epoch:    31, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366_1_r90499804_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: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-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: 38
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5622
read best_validation_error: 13216.2
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: 5366
read normal distribution: '1 0 0'
generator_str: '1261724058'
read generator: 1261724058
read generated_by_map:
1 enable_edge 1
reading 50 nodes.
reading 216 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366_1_r90499804_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: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-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: 38
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5622
read best_validation_error: 13216.2
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: 5366
read normal distribution: '1 0 0'
generator_str: '1261724058'
read generator: 1261724058
read generated_by_map:
1 enable_edge 1
reading 50 nodes.
reading 216 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 725.100769042969s, input_fired_time: 5.13754272460938, output_fired_time: 4.17953443527222, propagate_forward_time: 262.047973632813, propagate_backward_time: 445.003631591797, weight_update_time: 0.938589155673981, other_time: 8.73214721679688
epoch time: 55.4527206420898s, input_fired_time: 0.623377680778503, output_fired_time: 0, propagate_forward_time: 53.3485069274902, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.4808349609375
validation[          , genome  5366] predictions:    5612/  10000 (56.12%), best:    5612/10000 (56.12%), error:     13176.54883, best error:     13176.54883 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 636.0671386719s, input_fired_time: 4.8171591759, output_fired_time: 3.7466886044, propagate_forward_time: 225.5172424316, propagate_backward_time: 393.8998718262, weight_update_time: 0.8756890297, other_time: 8.0861816406
epoch time: 53.0509757996s, input_fired_time: 0.6139408946, output_fired_time: 0.0000000000, propagate_forward_time: 50.9802474976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4567871094
validation[          , genome  5366] predictions:    5722/  10000 (57.22%), best:    5722/10000 (57.22%), error:     12964.38770, best error:     12964.38770 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 712.3405761719s, input_fired_time: 5.1144542694, output_fired_time: 4.1434087753, propagate_forward_time: 256.5105285645, propagate_backward_time: 437.8665466309, weight_update_time: 0.9306513667, other_time: 8.7056274414
epoch time: 52.4061203003s, input_fired_time: 0.6157559156, output_fired_time: 0.0000000000, propagate_forward_time: 50.2837677002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5065956116
validation[          , genome  5366] predictions:    5677/  10000 (56.77%), best:    5677/10000 (56.77%), error:     12910.30762, best error:     12910.30762 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 612.2526245117s, input_fired_time: 4.7190113068, output_fired_time: 3.6041829586, propagate_forward_time: 216.0414428711, propagate_backward_time: 380.0197753906, weight_update_time: 0.8573864102, other_time: 7.8682250977
epoch time: 50.1548843384s, input_fired_time: 0.5918214321, output_fired_time: 0.0000000000, propagate_forward_time: 48.1472358704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4158287048
validation[          , genome  5366] predictions:    5562/  10000 (55.62%), best:    5677/10000 (56.77%), error:     13339.12500, best error:     12910.30762 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 609.1350708008s, input_fired_time: 4.7122426033, output_fired_time: 3.5837194920, propagate_forward_time: 214.7982330322, propagate_backward_time: 378.1871643066, weight_update_time: 0.8557754755, other_time: 7.8537292480
epoch time: 39.3388404846s, input_fired_time: 0.5170783997, output_fired_time: 0.0000000000, propagate_forward_time: 37.5464859009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2752761841
validation[          , genome  5366] predictions:    5297/  10000 (52.97%), best:    5677/10000 (56.77%), error:     14444.08887, best error:     12910.30762 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 627.5028076172s, input_fired_time: 4.7866005898, output_fired_time: 3.6798157692, propagate_forward_time: 222.2990417480, propagate_backward_time: 388.7522888184, weight_update_time: 0.8688331246, other_time: 7.9850463867
epoch time: 40.4824752808s, input_fired_time: 0.5250694156, output_fired_time: 0.0000000000, propagate_forward_time: 38.6558303833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3015747070
validation[          , genome  5366] predictions:    5689/  10000 (56.89%), best:    5689/10000 (56.89%), error:     12787.57324, best error:     12787.57324 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 646.3815917969s, input_fired_time: 4.8465991020, output_fired_time: 3.7677299976, propagate_forward_time: 229.9640197754, propagate_backward_time: 399.7257385254, weight_update_time: 0.8789751530, other_time: 8.0775146484
epoch time: 73.3251800537s, input_fired_time: 0.7654683590, output_fired_time: 0.0000000000, propagate_forward_time: 70.7777099609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7820053101
validation[          , genome  5366] predictions:    5648/  10000 (56.48%), best:    5689/10000 (56.89%), error:     13130.97949, best error:     12787.57324 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 714.2860717773s, input_fired_time: 5.0948929787, output_fired_time: 4.0974664688, propagate_forward_time: 258.0367736816, propagate_backward_time: 438.5462646484, weight_update_time: 0.9262659550, other_time: 8.5106506348
epoch time: 75.5025329590s, input_fired_time: 0.7810000181, output_fired_time: 0.0000000000, propagate_forward_time: 72.9311599731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7903747559
validation[          , genome  5366] predictions:    5743/  10000 (57.43%), best:    5689/10000 (56.89%), error:     12899.62598, best error:     12787.57324 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 642.6096191406s, input_fired_time: 4.8702716827, output_fired_time: 3.7828888893, propagate_forward_time: 228.1255950928, propagate_backward_time: 397.6693420410, weight_update_time: 0.8807789683, other_time: 8.1614685059
epoch time: 75.6979217529s, input_fired_time: 0.7830554247, output_fired_time: 0.0000000000, propagate_forward_time: 73.1184997559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7963638306
validation[          , genome  5366] predictions:    5556/  10000 (55.56%), best:    5689/10000 (56.89%), error:     13311.12305, best error:     12787.57324 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 703.8604736328s, input_fired_time: 5.1028246880, output_fired_time: 4.0861849785, propagate_forward_time: 253.4795074463, propagate_backward_time: 432.6455078125, weight_update_time: 0.9233963490, other_time: 8.5464477539
epoch time: 75.1197814941s, input_fired_time: 0.7983262539, output_fired_time: 0.0000000000, propagate_forward_time: 72.4336547852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8878021240
validation[          , genome  5366] predictions:    5627/  10000 (56.27%), best:    5689/10000 (56.89%), error:     13427.85645, best error:     12787.57324 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 595.1943359375s, input_fired_time: 4.6912541389, output_fired_time: 3.5104711056, propagate_forward_time: 208.8685913086, propagate_backward_time: 370.3672485352, weight_update_time: 0.8448118567, other_time: 7.7567138672
epoch time: 47.3604507446s, input_fired_time: 0.5836055875, output_fired_time: 0.0000000000, propagate_forward_time: 45.3549880981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4218559265
validation[          , genome  5366] predictions:    5711/  10000 (57.11%), best:    5689/10000 (56.89%), error:     12953.16211, best error:     12787.57324 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 732.6962280273s, input_fired_time: 5.2037029266, output_fired_time: 4.2133946419, propagate_forward_time: 265.2268066406, propagate_backward_time: 449.3315734863, weight_update_time: 0.9422552586, other_time: 8.7207946777
epoch time: 47.1910133362s, input_fired_time: 0.5747668147, output_fired_time: 0.0000000000, propagate_forward_time: 45.2370872498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3791580200
validation[          , genome  5366] predictions:    5803/  10000 (58.03%), best:    5803/10000 (58.03%), error:     12448.79492, best error:     12448.79492 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 627.8287353516s, input_fired_time: 4.8498873711, output_fired_time: 3.7215013504, propagate_forward_time: 222.0760345459, propagate_backward_time: 389.0916137695, weight_update_time: 0.8721433878, other_time: 8.0896606445
epoch time: 75.2123565674s, input_fired_time: 0.8019787073, output_fired_time: 0.0000000000, propagate_forward_time: 72.5177993774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8925781250
validation[          , genome  5366] predictions:    5743/  10000 (57.43%), best:    5803/10000 (58.03%), error:     13035.44141, best error:     12448.79492 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 730.8774414063s, input_fired_time: 5.2300076485, output_fired_time: 4.2387523651, propagate_forward_time: 264.4243774414, propagate_backward_time: 448.1919555664, weight_update_time: 0.9430574775, other_time: 8.7923583984
epoch time: 39.2403526306s, input_fired_time: 0.5297738910, output_fired_time: 0.0000000000, propagate_forward_time: 37.4285621643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2820167542
validation[          , genome  5366] predictions:    5818/  10000 (58.18%), best:    5803/10000 (58.03%), error:     12592.41211, best error:     12448.79492 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 637.4115600586s, input_fired_time: 4.8858766556, output_fired_time: 3.7582964897, propagate_forward_time: 226.1353607178, propagate_backward_time: 394.5079956055, weight_update_time: 0.8767691255, other_time: 8.1240234375
epoch time: 70.9888000488s, input_fired_time: 0.7603926063, output_fired_time: 0.0000000000, propagate_forward_time: 68.4602584839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7681503296
validation[          , genome  5366] predictions:    5750/  10000 (57.50%), best:    5803/10000 (58.03%), error:     12709.79199, best error:     12448.79492 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 561.6983642578s, input_fired_time: 4.6033587456, output_fired_time: 3.3690481186, propagate_forward_time: 195.1133270264, propagate_backward_time: 351.0329895020, weight_update_time: 0.8253281116, other_time: 7.5796813965
epoch time: 60.1738739014s, input_fired_time: 0.6865473390, output_fired_time: 0.0000000000, propagate_forward_time: 57.8546333313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6326942444
validation[          , genome  5366] predictions:    5829/  10000 (58.29%), best:    5803/10000 (58.03%), error:     12677.99512, best error:     12448.79492 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 653.5835571289s, input_fired_time: 4.9580979347, output_fired_time: 3.8629879951, propagate_forward_time: 232.6665802002, propagate_backward_time: 403.8249511719, weight_update_time: 0.8885888457, other_time: 8.2709960938
epoch time: 75.4893035889s, input_fired_time: 0.8037837148, output_fired_time: 0.0000000000, propagate_forward_time: 72.7924041748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8931121826
validation[          , genome  5366] predictions:    5718/  10000 (57.18%), best:    5803/10000 (58.03%), error:     12831.33203, best error:     12448.79492 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 604.5151367188s, input_fired_time: 4.7763891220, output_fired_time: 3.5918486118, propagate_forward_time: 212.2482604980, propagate_backward_time: 375.9867858887, weight_update_time: 0.8552641273, other_time: 7.9118652344
epoch time: 62.7858772278s, input_fired_time: 0.7047804594, output_fired_time: 0.0000000000, propagate_forward_time: 60.4255561829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6555404663
validation[          , genome  5366] predictions:    5794/  10000 (57.94%), best:    5803/10000 (58.03%), error:     12614.70508, best error:     12448.79492 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 714.6500854492s, input_fired_time: 5.1852183342, output_fired_time: 4.1590962410, propagate_forward_time: 257.7823181152, propagate_backward_time: 438.8545837402, weight_update_time: 0.9310802221, other_time: 8.6688232422
epoch time: 75.3223114014s, input_fired_time: 0.7888535857, output_fired_time: 0.0000000000, propagate_forward_time: 72.7108612061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8225936890
validation[          , genome  5366] predictions:    5757/  10000 (57.57%), best:    5803/10000 (58.03%), error:     12725.69824, best error:     12448.79492 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 643.9510498047s, input_fired_time: 4.9276185036, output_fired_time: 3.7922017574, propagate_forward_time: 228.8161468506, propagate_backward_time: 398.2492980957, weight_update_time: 0.8807581663, other_time: 8.1658020020
epoch time: 55.5700111389s, input_fired_time: 0.6485297680, output_fired_time: 0.0000000000, propagate_forward_time: 53.3801422119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5413398743
validation[          , genome  5366] predictions:    5699/  10000 (56.99%), best:    5803/10000 (58.03%), error:     12923.45605, best error:     12448.79492 on epoch:    49, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 709.2069091797s, input_fired_time: 5.1483354568, output_fired_time: 4.0860271454, propagate_forward_time: 255.8263549805, propagate_backward_time: 435.5946350098, weight_update_time: 0.9270037413, other_time: 8.5516052246
epoch time: 42.7654914856s, input_fired_time: 0.5576391816, output_fired_time: 0.0000000000, propagate_forward_time: 40.8794441223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3284072876
validation[          , genome  5366] predictions:    5795/  10000 (57.95%), best:    5803/10000 (58.03%), error:     12517.07715, best error:     12448.79492 on epoch:    49, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 582.0384521484s, input_fired_time: 4.7017874718, output_fired_time: 3.4673175812, propagate_forward_time: 203.2527160645, propagate_backward_time: 362.8730773926, weight_update_time: 0.8374190927, other_time: 7.7435302734
epoch time: 55.8057212830s, input_fired_time: 0.6581559181, output_fired_time: 0.0000000000, propagate_forward_time: 53.5824661255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5650978088
validation[          , genome  5366] predictions:    5806/  10000 (58.06%), best:    5803/10000 (58.03%), error:     12719.46484, best error:     12448.79492 on epoch:    49, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 728.6009521484s, input_fired_time: 5.2605104446, output_fired_time: 4.2239031792, propagate_forward_time: 263.4629516602, propagate_backward_time: 446.9097595215, weight_update_time: 0.9417313933, other_time: 8.7438659668
epoch time: 63.2613143921s, input_fired_time: 0.7114188075, output_fired_time: 0.0000000000, propagate_forward_time: 60.8932189941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6566772461
validation[          , genome  5366] predictions:    5859/  10000 (58.59%), best:    5859/10000 (58.59%), error:     12431.40820, best error:     12431.40820 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 711.9833374023s, input_fired_time: 5.2020211220, output_fired_time: 4.1556830406, propagate_forward_time: 256.5972595215, propagate_backward_time: 437.3692626953, weight_update_time: 0.9289246202, other_time: 8.6590881348
epoch time: 63.7256813049s, input_fired_time: 0.7077400684, output_fired_time: 0.0000000000, propagate_forward_time: 61.4019393921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6160011292
validation[          , genome  5366] predictions:    5941/  10000 (59.41%), best:    5941/10000 (59.41%), error:     12226.58008, best error:     12226.58008 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 636.2598266602s, input_fired_time: 4.9085426331, output_fired_time: 3.7354409695, propagate_forward_time: 225.5526123047, propagate_backward_time: 393.9757385254, weight_update_time: 0.8765285015, other_time: 8.0874938965
epoch time: 39.9135551453s, input_fired_time: 0.5413594842, output_fired_time: 0.0000000000, propagate_forward_time: 38.0817909241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2904052734
validation[          , genome  5366] predictions:    5862/  10000 (58.62%), best:    5941/10000 (59.41%), error:     12261.07031, best error:     12226.58008 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 667.9835815430s, input_fired_time: 5.0345573425, output_fired_time: 3.9124200344, propagate_forward_time: 238.2796020508, propagate_backward_time: 412.4075622559, weight_update_time: 0.8995230198, other_time: 8.3494567871
epoch time: 69.2202758789s, input_fired_time: 0.7419240475, output_fired_time: 0.0000000000, propagate_forward_time: 66.8235168457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6548385620
validation[          , genome  5366] predictions:    6001/  10000 (60.01%), best:    6001/10000 (60.01%), error:     11882.43750, best error:     11882.43750 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 633.2936401367s, input_fired_time: 4.9069852829, output_fired_time: 3.7371311188, propagate_forward_time: 224.3462829590, propagate_backward_time: 392.2511901855, weight_update_time: 0.8734019995, other_time: 8.0520629883
epoch time: 75.1935806274s, input_fired_time: 0.8068380356, output_fired_time: 0.0000000000, propagate_forward_time: 72.5105972290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8761444092
validation[          , genome  5366] predictions:    5832/  10000 (58.32%), best:    6001/10000 (60.01%), error:     12811.05469, best error:     11882.43750 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 677.0451660156s, input_fired_time: 5.0718984604, output_fired_time: 3.9473943710, propagate_forward_time: 242.5023345947, propagate_backward_time: 417.1455078125, weight_update_time: 0.9053360820, other_time: 8.3780517578
epoch time: 65.8259277344s, input_fired_time: 0.7321755290, output_fired_time: 0.0000000000, propagate_forward_time: 63.4109573364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6827926636
validation[          , genome  5366] predictions:    5951/  10000 (59.51%), best:    6001/10000 (60.01%), error:     12140.79297, best error:     11882.43750 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 647.7901000977s, input_fired_time: 4.9640541077, output_fired_time: 3.7994434834, propagate_forward_time: 230.3350524902, propagate_backward_time: 400.5298767090, weight_update_time: 0.8837234378, other_time: 8.1616821289
epoch time: 58.5413284302s, input_fired_time: 0.6834719181, output_fired_time: 0.0000000000, propagate_forward_time: 56.2490348816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6088218689
validation[          , genome  5366] predictions:    5837/  10000 (58.37%), best:    6001/10000 (60.01%), error:     12552.49512, best error:     11882.43750 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 668.5173950195s, input_fired_time: 5.0181131363, output_fired_time: 3.8620302677, propagate_forward_time: 239.0880126953, propagate_backward_time: 412.3549804688, weight_update_time: 0.8948791027, other_time: 8.1942138672
epoch time: 65.3799972534s, input_fired_time: 0.7300198674, output_fired_time: 0.0000000000, propagate_forward_time: 62.9773788452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6725997925
validation[          , genome  5366] predictions:    5997/  10000 (59.97%), best:    6001/10000 (60.01%), error:     12057.81445, best error:     11882.43750 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 683.2820434570s, input_fired_time: 5.0916099548, output_fired_time: 3.9796907902, propagate_forward_time: 244.8992309570, propagate_backward_time: 420.9077148438, weight_update_time: 0.9090757370, other_time: 8.4038085938
epoch time: 43.9431533813s, input_fired_time: 0.5711228251, output_fired_time: 0.0000000000, propagate_forward_time: 42.0326499939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3393821716
validation[          , genome  5366] predictions:    5996/  10000 (59.96%), best:    6001/10000 (60.01%), error:     12176.97070, best error:     11882.43750 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 685.6763305664s, input_fired_time: 5.1217279434, output_fired_time: 4.0162672997, propagate_forward_time: 245.6020660400, propagate_backward_time: 422.4456481934, weight_update_time: 0.9111742377, other_time: 8.4906311035
epoch time: 64.8116149902s, input_fired_time: 0.7168043256, output_fired_time: 0.0000000000, propagate_forward_time: 62.4567947388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6380157471
validation[          , genome  5366] predictions:    5952/  10000 (59.52%), best:    6001/10000 (60.01%), error:     12320.97168, best error:     11882.43750 on epoch:    63, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 723.5030517578s, input_fired_time: 5.2328395844, output_fired_time: 4.1506109238, propagate_forward_time: 261.7063598633, propagate_backward_time: 443.7659606934, weight_update_time: 0.9349371791, other_time: 8.6472473145
epoch time: 75.5940628052s, input_fired_time: 0.7973161340, output_fired_time: 0.0000000000, propagate_forward_time: 73.0018386841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7949066162
validation[          , genome  5366] predictions:    5938/  10000 (59.38%), best:    6001/10000 (60.01%), error:     12298.50879, best error:     11882.43750 on epoch:    63, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 828.3135986328s, input_fired_time: 5.6418848038, output_fired_time: 4.7059526443, propagate_forward_time: 304.3966674805, propagate_backward_time: 504.1403198242, weight_update_time: 1.0100784302, other_time: 9.4287719727
epoch time: 69.5937271118s, input_fired_time: 0.7722939253, output_fired_time: 0.0000000000, propagate_forward_time: 67.0204086304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8010253906
validation[          , genome  5366] predictions:    5950/  10000 (59.50%), best:    6001/10000 (60.01%), error:     12123.82910, best error:     11882.43750 on epoch:    63, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 739.9712524414s, input_fired_time: 5.2843780518, output_fired_time: 4.2146654129, propagate_forward_time: 268.6129760742, propagate_backward_time: 453.1801147461, weight_update_time: 0.9465164542, other_time: 8.6791381836
epoch time: 58.7524299622s, input_fired_time: 0.6926155090, output_fired_time: 0.0000000000, propagate_forward_time: 56.4447975159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6150169373
validation[          , genome  5366] predictions:    6024/  10000 (60.24%), best:    6024/10000 (60.24%), error:     11852.44727, best error:     11852.44727 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 733.7189941406s, input_fired_time: 5.2901821136, output_fired_time: 4.2294154167, propagate_forward_time: 265.6464233398, propagate_backward_time: 449.8186035156, weight_update_time: 0.9414532781, other_time: 8.7343750000
epoch time: 60.8898239136s, input_fired_time: 0.7021769285, output_fired_time: 0.0000000000, propagate_forward_time: 58.5510330200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6366157532
validation[          , genome  5366] predictions:    6022/  10000 (60.22%), best:    6024/10000 (60.24%), error:     11942.76563, best error:     11852.44727 on epoch:    72, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 828.2640380859s, input_fired_time: 5.6290669441, output_fired_time: 4.6758241653, propagate_forward_time: 304.6145935059, propagate_backward_time: 504.0024108887, weight_update_time: 1.0092706680, other_time: 9.3420715332
epoch time: 51.1861763000s, input_fired_time: 0.6295546889, output_fired_time: 0.0000000000, propagate_forward_time: 49.0886230469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4679985046
validation[          , genome  5366] predictions:    6020/  10000 (60.20%), best:    6024/10000 (60.24%), error:     11959.91895, best error:     11852.44727 on epoch:    72, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 736.7009887695s, input_fired_time: 5.2977204323, output_fired_time: 4.2281532288, propagate_forward_time: 266.6430664063, propagate_backward_time: 451.7932128906, weight_update_time: 0.9453465939, other_time: 8.7388305664
epoch time: 75.6498947144s, input_fired_time: 0.8173010945, output_fired_time: 0.0000000000, propagate_forward_time: 72.9388885498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8937072754
validation[          , genome  5366] predictions:    5974/  10000 (59.74%), best:    6024/10000 (60.24%), error:     12102.20898, best error:     11852.44727 on epoch:    72, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 778.4508666992s, input_fired_time: 5.4138989449, output_fired_time: 4.3757753372, propagate_forward_time: 284.7257080078, propagate_backward_time: 475.0911865234, weight_update_time: 0.9686818123, other_time: 8.8442993164
epoch time: 76.2880783081s, input_fired_time: 0.7919583917, output_fired_time: 0.0000000000, propagate_forward_time: 73.7660140991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7301025391
validation[          , genome  5366] predictions:    5972/  10000 (59.72%), best:    6024/10000 (60.24%), error:     12109.64355, best error:     11852.44727 on epoch:    72, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 764.2858276367s, input_fired_time: 5.4001712799, output_fired_time: 4.3760137558, propagate_forward_time: 278.0723266602, propagate_backward_time: 467.4718627930, weight_update_time: 0.9657848477, other_time: 8.9654541016
epoch time: 63.8010292053s, input_fired_time: 0.7147331238, output_fired_time: 0.0000000000, propagate_forward_time: 61.4772186279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6090774536
validation[          , genome  5366] predictions:    6060/  10000 (60.60%), best:    6024/10000 (60.24%), error:     12003.14844, best error:     11852.44727 on epoch:    72, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 851.4245605469s, input_fired_time: 5.7341670990, output_fired_time: 4.8135490417, propagate_forward_time: 314.4552307129, propagate_backward_time: 516.8843994141, weight_update_time: 1.0263401270, other_time: 9.5372314453
epoch time: 61.4393920898s, input_fired_time: 0.7111403942, output_fired_time: 0.0000000000, propagate_forward_time: 59.0989456177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6293067932
validation[          , genome  5366] predictions:    6046/  10000 (60.46%), best:    6024/10000 (60.24%), error:     11937.34766, best error:     11852.44727 on epoch:    72, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 860.6675415039s, input_fired_time: 5.7305793762, output_fired_time: 4.7991600037, propagate_forward_time: 318.3527526855, propagate_backward_time: 522.3549804688, weight_update_time: 1.0262215137, other_time: 9.4300537109
epoch time: 56.4300842285s, input_fired_time: 0.6599838138, output_fired_time: 0.0000000000, propagate_forward_time: 54.2711257935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4989738464
validation[          , genome  5366] predictions:    6030/  10000 (60.30%), best:    6024/10000 (60.24%), error:     11943.26465, best error:     11852.44727 on epoch:    72, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 827.1909790039s, input_fired_time: 5.6372222900, output_fired_time: 4.6598701477, propagate_forward_time: 305.0762023926, propagate_backward_time: 502.5195922852, weight_update_time: 1.0050631762, other_time: 9.2981262207
epoch time: 59.7910232544s, input_fired_time: 0.6862762570, output_fired_time: 0.0000000000, propagate_forward_time: 57.5590476990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5457000732
validation[          , genome  5366] predictions:    6071/  10000 (60.71%), best:    6071/10000 (60.71%), error:     11831.97070, best error:     11831.97070 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 852.6630859375s, input_fired_time: 5.7373933792, output_fired_time: 4.8076791763, propagate_forward_time: 314.6624450684, propagate_backward_time: 517.9276733398, weight_update_time: 1.0270230770, other_time: 9.5278930664
epoch time: 62.9062385559s, input_fired_time: 0.7081310153, output_fired_time: 0.0000000000, propagate_forward_time: 60.6174011230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5807075500
validation[          , genome  5366] predictions:    6071/  10000 (60.71%), best:    6071/10000 (60.71%), error:     11926.28320, best error:     11831.97070 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 855.1196899414s, input_fired_time: 5.7368178368, output_fired_time: 4.8160634041, propagate_forward_time: 315.7757873535, propagate_backward_time: 519.2846069336, weight_update_time: 1.0260331631, other_time: 9.5064086914
epoch time: 64.8528518677s, input_fired_time: 0.7354518175, output_fired_time: 0.0000000000, propagate_forward_time: 62.4449272156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6724739075
validation[          , genome  5366] predictions:    5994/  10000 (59.94%), best:    6071/10000 (60.71%), error:     11953.39258, best error:     11831.97070 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 828.7373046875s, input_fired_time: 5.6134247780, output_fired_time: 4.6221742630, propagate_forward_time: 305.2369689941, propagate_backward_time: 504.0743103027, weight_update_time: 1.0033099651, other_time: 9.1904602051
epoch time: 55.0206565857s, input_fired_time: 0.6539565921, output_fired_time: 0.0000000000, propagate_forward_time: 52.8916931152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4750061035
validation[          , genome  5366] predictions:    5990/  10000 (59.90%), best:    6071/10000 (60.71%), error:     11880.92676, best error:     11831.97070 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 810.8360595703s, input_fired_time: 5.5698070526, output_fired_time: 4.5656375885, propagate_forward_time: 298.2438964844, propagate_backward_time: 493.3015747070, weight_update_time: 0.9938979149, other_time: 9.1551513672
epoch time: 67.2352981567s, input_fired_time: 0.7563740015, output_fired_time: 0.0000000000, propagate_forward_time: 64.7492294312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7296981812
validation[          , genome  5366] predictions:    6035/  10000 (60.35%), best:    6071/10000 (60.71%), error:     11958.65527, best error:     11831.97070 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 815.4268188477s, input_fired_time: 5.5726513863, output_fired_time: 4.5690350533, propagate_forward_time: 299.7299804688, propagate_backward_time: 496.4119873047, weight_update_time: 0.9962802529, other_time: 9.1431884766
epoch time: 51.7634925842s, input_fired_time: 0.6361779571, output_fired_time: 0.0000000000, propagate_forward_time: 49.6644515991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4628639221
validation[          , genome  5366] predictions:    6020/  10000 (60.20%), best:    6071/10000 (60.71%), error:     11870.89844, best error:     11831.97070 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 807.3992309570s, input_fired_time: 5.5482192039, output_fired_time: 4.5164456367, propagate_forward_time: 295.7830200195, propagate_backward_time: 492.4238891602, weight_update_time: 0.9917326570, other_time: 9.1276855469
epoch time: 54.3020515442s, input_fired_time: 0.6531275511, output_fired_time: 0.0000000000, propagate_forward_time: 52.1716613770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4772644043
validation[          , genome  5366] predictions:    6016/  10000 (60.16%), best:    6071/10000 (60.71%), error:     11895.15723, best error:     11831.97070 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 783.3982543945s, input_fired_time: 5.4659481049, output_fired_time: 4.4307713509, propagate_forward_time: 285.8560485840, propagate_backward_time: 478.6995239258, weight_update_time: 0.9738876820, other_time: 8.9459533691
epoch time: 59.1298522949s, input_fired_time: 0.6906795502, output_fired_time: 0.0000000000, propagate_forward_time: 56.8663063049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5728645325
validation[          , genome  5366] predictions:    6017/  10000 (60.17%), best:    6071/10000 (60.71%), error:     11893.28613, best error:     11831.97070 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 828.7777709961s, input_fired_time: 5.6593513489, output_fired_time: 4.6941852570, propagate_forward_time: 305.6365661621, propagate_backward_time: 503.4727172852, weight_update_time: 1.0092093945, other_time: 9.3148803711
epoch time: 59.1761360168s, input_fired_time: 0.6857269406, output_fired_time: 0.0000000000, propagate_forward_time: 56.9560737610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5343360901
validation[          , genome  5366] predictions:    6061/  10000 (60.61%), best:    6061/10000 (60.61%), error:     11720.70605, best error:     11720.70605 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 806.2675170898s, input_fired_time: 5.5566945076, output_fired_time: 4.5585203171, propagate_forward_time: 295.2615356445, propagate_backward_time: 491.7772827148, weight_update_time: 0.9892730117, other_time: 9.1134643555
epoch time: 60.6927146912s, input_fired_time: 0.6966383457, output_fired_time: 0.0000000000, propagate_forward_time: 58.4300689697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5660057068
validation[          , genome  5366] predictions:    6089/  10000 (60.89%), best:    6061/10000 (60.61%), error:     11784.75000, best error:     11720.70605 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540784103_183_5366_1_r90499804_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 88
read number_validation_images: 10000
read best_validation_predictions: 6061
read best_validation_error: 11720.7
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: 5366
read normal distribution: '1 0 0'
generator_str: '768382341'
read generator: 768382341
read generated_by_map:
1 enable_edge 1
reading 50 nodes.
reading 216 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 943.260864257813s, input_fired_time: 11.9978151321411, output_fired_time: 9.51820850372314, propagate_forward_time: 329.111114501953, propagate_backward_time: 557.848388671875, weight_update_time: 2.0238299369812, other_time: 34.785400390625
epoch time: 79.3090209960938s, input_fired_time: 1.81048703193665, output_fired_time: 0, propagate_forward_time: 70.6907806396484, propagate_backward_time: 0, weight_update_time: 0, other_time: 6.80775451660156
validation[          , genome  5366] predictions:    6046/  10000 (60.46%), best:    6061/10000 (60.61%), error:     11869.99609, best error:     11720.70605 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 965.0922851563s, input_fired_time: 11.9183712006, output_fired_time: 9.6078577042, propagate_forward_time: 338.1571044922, propagate_backward_time: 571.3415527344, weight_update_time: 2.0037782192, other_time: 34.0673828125
epoch time: 82.4734268188s, input_fired_time: 1.9546411037, output_fired_time: 0.0000000000, propagate_forward_time: 73.0590515137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.4597320557
validation[          , genome  5366] predictions:    6068/  10000 (60.68%), best:    6061/10000 (60.61%), error:     11746.68164, best error:     11720.70605 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 989.5918579102s, input_fired_time: 11.9117612839, output_fired_time: 9.6779642105, propagate_forward_time: 347.4054870605, propagate_backward_time: 586.3211059570, weight_update_time: 2.0101916790, other_time: 34.2755737305
epoch time: 76.6625900269s, input_fired_time: 1.7430688143, output_fired_time: 0.0000000000, propagate_forward_time: 68.9102249146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0092926025
validation[          , genome  5366] predictions:    6065/  10000 (60.65%), best:    6061/10000 (60.61%), error:     11896.28320, best error:     11720.70605 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 981.4006958008s, input_fired_time: 12.0070419312, output_fired_time: 9.5884819031, propagate_forward_time: 342.3222656250, propagate_backward_time: 582.2313232422, weight_update_time: 2.0346817970, other_time: 35.2515869141
epoch time: 73.9350280762s, input_fired_time: 1.7536247969, output_fired_time: 0.0000000000, propagate_forward_time: 65.6276092529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5537948608
validation[          , genome  5366] predictions:    6112/  10000 (61.12%), best:    6112/10000 (61.12%), error:     11712.78223, best error:     11712.78223 on epoch:    93, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 952.0795288086s, input_fired_time: 11.6671447754, output_fired_time: 9.3680715561, propagate_forward_time: 333.4915466309, propagate_backward_time: 563.9209594727, weight_update_time: 1.9637732506, other_time: 33.6317749023
epoch time: 79.4979782104s, input_fired_time: 1.8899930716, output_fired_time: 0.0000000000, propagate_forward_time: 70.4404525757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.1675338745
validation[          , genome  5366] predictions:    6076/  10000 (60.76%), best:    6112/10000 (61.12%), error:     11818.08887, best error:     11712.78223 on epoch:    93, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 971.2058715820s, input_fired_time: 11.8757886887, output_fired_time: 9.6787071228, propagate_forward_time: 339.5363769531, propagate_backward_time: 576.4481201172, weight_update_time: 2.0065288544, other_time: 33.6668701172
epoch time: 77.3757934570s, input_fired_time: 1.8247431517, output_fired_time: 0.0000000000, propagate_forward_time: 68.8288192749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7222290039
validation[          , genome  5366] predictions:    6076/  10000 (60.76%), best:    6112/10000 (61.12%), error:     11820.69434, best error:     11712.78223 on epoch:    93, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1000.4697875977s, input_fired_time: 12.0145015717, output_fired_time: 9.7558288574, propagate_forward_time: 350.3997497559, propagate_backward_time: 594.3192749023, weight_update_time: 2.0277397633, other_time: 33.9804077148
epoch time: 79.8974380493s, input_fired_time: 1.7923473120, output_fired_time: 0.0000000000, propagate_forward_time: 71.5333480835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5717391968
validation[          , genome  5366] predictions:    6034/  10000 (60.34%), best:    6112/10000 (61.12%), error:     11830.42773, best error:     11712.78223 on epoch:    93, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1010.3423461914s, input_fired_time: 12.2361822128, output_fired_time: 9.8518342972, propagate_forward_time: 354.7963867188, propagate_backward_time: 598.1299438477, weight_update_time: 2.0549583435, other_time: 35.3280029297
epoch time: 79.6767120361s, input_fired_time: 1.8093216419, output_fired_time: 0.0000000000, propagate_forward_time: 70.8937759399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9736175537
validation[          , genome  5366] predictions:    6072/  10000 (60.72%), best:    6112/10000 (61.12%), error:     11749.70703, best error:     11712.78223 on epoch:    93, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 999.4712524414s, input_fired_time: 11.9531021118, output_fired_time: 9.7014646530, propagate_forward_time: 352.3454895020, propagate_backward_time: 590.5767211914, weight_update_time: 2.0599217415, other_time: 34.8944702148
epoch time: 77.4556503296s, input_fired_time: 1.7470908165, output_fired_time: 0.0000000000, propagate_forward_time: 69.8070449829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9015121460
validation[          , genome  5366] predictions:    6053/  10000 (60.53%), best:    6112/10000 (61.12%), error:     11929.92090, best error:     11712.78223 on epoch:    93, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 989.1303100586s, input_fired_time: 12.0760993958, output_fired_time: 9.6968059540, propagate_forward_time: 347.9614868164, propagate_backward_time: 584.6669311523, weight_update_time: 2.0260741711, other_time: 34.7290039063
epoch time: 77.0173492432s, input_fired_time: 1.7604629993, output_fired_time: 0.0000000000, propagate_forward_time: 69.0111694336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2457199097
validation[          , genome  5366] predictions:    6023/  10000 (60.23%), best:    6112/10000 (61.12%), error:     11918.94238, best error:     11712.78223 on epoch:    93, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 966.9181518555s, input_fired_time: 11.8552188873, output_fired_time: 9.5643939972, propagate_forward_time: 339.5028991699, propagate_backward_time: 572.0883789063, weight_update_time: 2.0165383816, other_time: 33.9072265625
epoch time: 69.8028030396s, input_fired_time: 1.6582773924, output_fired_time: 0.0000000000, propagate_forward_time: 62.4083328247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.7361907959
validation[          , genome  5366] predictions:    6112/  10000 (61.12%), best:    6112/10000 (61.12%), error:     11741.48633, best error:     11712.78223 on epoch:    93, 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: 378.9893188477s, input_fired_time: 8.8298158646, output_fired_time: 0.0000000000, propagate_forward_time: 337.9436645508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 32.2158508301
best training[          , genome  5366] predictions:   38237/  50000 (76.47%), best:    6112/10000 (61.12%), error:     35213.31641, best error:     11712.78223 on epoch:    93, 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: 78.1815643311s, input_fired_time: 1.7584611177, output_fired_time: 0.0000000000, propagate_forward_time: 69.8041763306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6189270020
   testing[          , genome  5366] predictions:    6112/  10000 (61.12%), best:    6112/10000 (61.12%), error:     11712.78223, best error:     11712.78223 on epoch:    93, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
15:08:44 (34440): called boinc_finish(0)

</stderr_txt>
]]>