Nameexact_genome_1518178202_49_18354_0
Workunit2992126
Created9 Feb 2018, 15:58:24 UTC
Sent9 Feb 2018, 16:41:05 UTC
Report deadline8 Apr 2018, 5:54:01 UTC
Received11 Feb 2018, 20:01:33 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID55826
Run time1 days 15 hours 56 min 15 sec
CPU time1 days 15 hours 44 min 10 sec
Validate stateInitial
Credit0.00
Device peak FLOPS2.12 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size181.37 MB
Peak swap size182.86 MB
Peak disk usage4.75 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
5, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1302.8331298828s, input_fired_time: 15.5691785812, output_fired_time: 10.2562170029, propagate_forward_time: 499.8738098145, propagate_backward_time: 753.8961791992, weight_update_time: 1.9710279703, other_time: 23.2377319336
epoch time: 105.9592666626s, input_fired_time: 1.6682380438, output_fired_time: 0.0000000000, propagate_forward_time: 100.1823501587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1086807251
validation[          , genome 18354] predictions:    9889/  10000 (98.89%), best:    9907/10000 (99.07%), error:       334.48758, best error:       314.41125 on epoch:    45, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1303.9301757812s, input_fired_time: 15.5929851532, output_fired_time: 10.2555646896, propagate_forward_time: 500.9094543457, propagate_backward_time: 753.9667968750, weight_update_time: 1.9494507313, other_time: 23.2053222656
epoch time: 106.0337066650s, input_fired_time: 1.6652797461, output_fired_time: 0.0000000000, propagate_forward_time: 100.2905273438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0778961182
validation[          , genome 18354] predictions:    9898/  10000 (98.98%), best:    9907/10000 (99.07%), error:       335.30444, best error:       314.41125 on epoch:    45, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1303.3184814453s, input_fired_time: 15.5830106735, output_fired_time: 10.2309875488, propagate_forward_time: 500.8778381348, propagate_backward_time: 753.3870849609, weight_update_time: 1.9687900543, other_time: 23.2396240234
epoch time: 105.8437423706s, input_fired_time: 1.6854133606, output_fired_time: 0.0000000000, propagate_forward_time: 100.0370178223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1213073730
validation[          , genome 18354] predictions:    9895/  10000 (98.95%), best:    9907/10000 (99.07%), error:       336.30524, best error:       314.41125 on epoch:    45, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1302.0886230469s, input_fired_time: 15.6058845520, output_fired_time: 10.2416362762, propagate_forward_time: 500.0224914551, propagate_backward_time: 752.9061889648, weight_update_time: 1.9614721537, other_time: 23.3125610352
epoch time: 105.4698791504s, input_fired_time: 1.6656268835, output_fired_time: 0.0000000000, propagate_forward_time: 99.7027511597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1015014648
validation[          , genome 18354] predictions:    9889/  10000 (98.89%), best:    9907/10000 (99.07%), error:       349.49713, best error:       314.41125 on epoch:    45, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1304.5285644531s, input_fired_time: 15.5607471466, output_fired_time: 10.3361234665, propagate_forward_time: 501.4043273926, propagate_backward_time: 753.9838867188, weight_update_time: 1.9512994289, other_time: 23.2434082031
epoch time: 106.6601638794s, input_fired_time: 1.6633263826, output_fired_time: 0.0000000000, propagate_forward_time: 100.6926193237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3042144775
validation[          , genome 18354] predictions:    9892/  10000 (98.92%), best:    9907/10000 (99.07%), error:       343.09360, best error:       314.41125 on epoch:    45, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1303.3404541016s, input_fired_time: 15.6648874283, output_fired_time: 10.2779674530, propagate_forward_time: 500.7151489258, propagate_backward_time: 753.3955688477, weight_update_time: 1.9606708288, other_time: 23.2868652344
epoch time: 105.6981124878s, input_fired_time: 1.6792751551, output_fired_time: 0.0000000000, propagate_forward_time: 99.9752120972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0436248779
validation[          , genome 18354] predictions:    9901/  10000 (99.01%), best:    9907/10000 (99.07%), error:       343.36670, best error:       314.41125 on epoch:    45, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1303.4464111328s, input_fired_time: 15.6356954575, output_fired_time: 10.2353801727, propagate_forward_time: 500.6578063965, propagate_backward_time: 753.6896972656, weight_update_time: 1.9650626183, other_time: 23.2277832031
epoch time: 106.0335159302s, input_fired_time: 1.6763316393, output_fired_time: 0.0000000000, propagate_forward_time: 100.2593154907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0978698730
validation[          , genome 18354] predictions:    9908/  10000 (99.08%), best:    9908/10000 (99.08%), error:       310.22403, best error:       310.22403 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1302.4135742188s, input_fired_time: 15.6451435089, output_fired_time: 10.2005891800, propagate_forward_time: 500.2027893066, propagate_backward_time: 753.1663208008, weight_update_time: 1.9677013159, other_time: 23.1987915039
epoch time: 105.8214569092s, input_fired_time: 1.6750169992, output_fired_time: 0.0000000000, propagate_forward_time: 100.0281677246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1182708740
validation[          , genome 18354] predictions:    9915/  10000 (99.15%), best:    9915/10000 (99.15%), error:       289.79633, best error:       289.79633 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1305.0589599609s, input_fired_time: 15.6788682938, output_fired_time: 10.2589864731, propagate_forward_time: 501.1612548828, propagate_backward_time: 754.6271972656, weight_update_time: 1.9720934629, other_time: 23.3326416016
epoch time: 106.1853561401s, input_fired_time: 1.7431619167, output_fired_time: 0.0000000000, propagate_forward_time: 100.3415298462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1006622314
validation[          , genome 18354] predictions:    9893/  10000 (98.93%), best:    9915/10000 (99.15%), error:       330.69833, best error:       289.79633 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1298.4039306641s, input_fired_time: 15.5865106583, output_fired_time: 10.2208318710, propagate_forward_time: 498.5401306152, propagate_backward_time: 750.7622680664, weight_update_time: 1.9721246958, other_time: 23.2941284180
epoch time: 105.2701492310s, input_fired_time: 1.6674281359, output_fired_time: 0.0000000000, propagate_forward_time: 99.5153427124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0873794556
validation[          , genome 18354] predictions:    9904/  10000 (99.04%), best:    9915/10000 (99.15%), error:       314.78992, best error:       289.79633 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1299.8294677734s, input_fired_time: 15.6048574448, output_fired_time: 10.2400465012, propagate_forward_time: 498.5212402344, propagate_backward_time: 752.2039184570, weight_update_time: 1.9742209911, other_time: 23.2594604492
epoch time: 105.3049087524s, input_fired_time: 1.6647777557, output_fired_time: 0.0000000000, propagate_forward_time: 99.5811157227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0590133667
validation[          , genome 18354] predictions:    9903/  10000 (99.03%), best:    9915/10000 (99.15%), error:       338.32678, best error:       289.79633 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1298.5701904297s, input_fired_time: 15.5759420395, output_fired_time: 10.1881608963, propagate_forward_time: 498.2238464355, propagate_backward_time: 751.4046630859, weight_update_time: 1.9593640566, other_time: 23.1776123047
epoch time: 105.7598876953s, input_fired_time: 1.6754852533, output_fired_time: 0.0000000000, propagate_forward_time: 99.9832305908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1011734009
validation[          , genome 18354] predictions:    9911/  10000 (99.11%), best:    9911/10000 (99.11%), error:       287.60086, best error:       287.60086 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1297.7747802734s, input_fired_time: 15.5892448425, output_fired_time: 10.1674871445, propagate_forward_time: 498.6087036133, propagate_backward_time: 750.3092651367, weight_update_time: 1.9584952593, other_time: 23.1000976562
epoch time: 105.5561904907s, input_fired_time: 1.6771599054, output_fired_time: 0.0000000000, propagate_forward_time: 99.7980270386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0810012817
validation[          , genome 18354] predictions:    9915/  10000 (99.15%), best:    9911/10000 (99.11%), error:       304.19916, best error:       287.60086 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1297.6390380859s, input_fired_time: 15.6132268906, output_fired_time: 10.1783933640, propagate_forward_time: 497.8879394531, propagate_backward_time: 750.8114013672, weight_update_time: 1.9577805996, other_time: 23.1480712891
epoch time: 105.0571899414s, input_fired_time: 1.6703840494, output_fired_time: 0.0000000000, propagate_forward_time: 99.3213500977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0654525757
validation[          , genome 18354] predictions:    9905/  10000 (99.05%), best:    9911/10000 (99.11%), error:       301.34641, best error:       287.60086 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1325.1783447266s, input_fired_time: 15.8860511780, output_fired_time: 10.4918222427, propagate_forward_time: 510.2014160156, propagate_backward_time: 765.0785522461, weight_update_time: 1.9660995007, other_time: 23.5204467773
epoch time: 109.2608108521s, input_fired_time: 1.7652540207, output_fired_time: 0.0000000000, propagate_forward_time: 103.2955017090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2000579834
validation[          , genome 18354] predictions:    9923/  10000 (99.23%), best:    9923/10000 (99.23%), error:       269.28595, best error:       269.28595 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.973406
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000423319
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.69328e-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: 66
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '336777034'
read generator: 336777034
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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: 1323.29711914062s, input_fired_time: 15.7891340255737, output_fired_time: 10.5837831497192, propagate_forward_time: 509.932647705078, propagate_backward_time: 763.378967285156, weight_update_time: 1.96019649505615, other_time: 23.6126098632812
epoch time: 108.386474609375s, input_fired_time: 1.68538582324982, output_fired_time: 0, propagate_forward_time: 102.575775146484, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.12531280517578
validation[          , genome 18354] predictions:    9917/  10000 (99.17%), best:    9923/10000 (99.23%), error:       285.08176, best error:       269.28595 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '2058938641'
read generator: 2058938641
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '2058938641'
read generator: 2058938641
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '2058938641'
read generator: 2058938641
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '2058938641'
read generator: 2058938641
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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: 1314.54321289062s, input_fired_time: 15.7342624664307, output_fired_time: 10.4398946762085, propagate_forward_time: 504.904998779297, propagate_backward_time: 759.23974609375, weight_update_time: 1.96539282798767, other_time: 24.2242431640625
epoch time: 107.571876525879s, input_fired_time: 1.67805457115173, output_fired_time: 0, propagate_forward_time: 101.743965148926, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.14985656738281
validation[          , genome 18354] predictions:    9911/  10000 (99.11%), best:    9923/10000 (99.23%), error:       283.27679, best error:       269.28595 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1303.1340332031s, input_fired_time: 15.6112546921, output_fired_time: 10.2336387634, propagate_forward_time: 501.1750488281, propagate_backward_time: 753.2056884766, weight_update_time: 1.9452848434, other_time: 22.9084472656
epoch time: 105.8964614868s, input_fired_time: 1.6768403053, output_fired_time: 0.0000000000, propagate_forward_time: 100.0676193237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1520004272
validation[          , genome 18354] predictions:    9912/  10000 (99.12%), best:    9923/10000 (99.23%), error:       292.59085, best error:       269.28595 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1294.3992919922s, input_fired_time: 15.5097379684, output_fired_time: 10.1048927307, propagate_forward_time: 496.6812133789, propagate_backward_time: 749.3286132812, weight_update_time: 1.9407401085, other_time: 22.7748413086
epoch time: 104.2029113770s, input_fired_time: 1.6449905634, output_fired_time: 0.0000000000, propagate_forward_time: 98.5519866943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0059356689
validation[          , genome 18354] predictions:    9913/  10000 (99.13%), best:    9923/10000 (99.23%), error:       298.82828, best error:       269.28595 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1281.5195312500s, input_fired_time: 15.4406909943, output_fired_time: 9.9529294968, propagate_forward_time: 491.3979492188, propagate_backward_time: 742.2133789062, weight_update_time: 1.9234397411, other_time: 22.5146484375
epoch time: 103.1803512573s, input_fired_time: 1.6357914209, output_fired_time: 0.0000000000, propagate_forward_time: 97.5884170532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9561462402
validation[          , genome 18354] predictions:    9912/  10000 (99.12%), best:    9923/10000 (99.23%), error:       287.43964, best error:       269.28595 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1285.6939697266s, input_fired_time: 15.4597330093, output_fired_time: 9.9878196716, propagate_forward_time: 493.3040466309, propagate_backward_time: 743.9336547852, weight_update_time: 1.9259935617, other_time: 23.0087280273
arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1518178202_49_18354.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18354_0_r126636601_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: 0.97716
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000327556
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.31022e-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: 71
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9923
read best_validation_error: 269.286
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: 18354
read normal distribution: '1 0 0'
generator_str: '275319972'
read generator: 275319972
read generated_by_map:
1 disable_edge 1
reading 127 nodes.
reading 492 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: 1301.74267578125s, input_fired_time: 15.6880683898926, output_fired_time: 10.3146209716797, propagate_forward_time: 500.667297363281, propagate_backward_time: 751.576110839844, weight_update_time: 1.95545649528503, other_time: 23.49658203125
epoch time: 103.787643432617s, input_fired_time: 1.63507318496704, output_fired_time: 0, propagate_forward_time: 98.211181640625, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.94139099121094
validation[          , genome 18354] predictions:    9917/  10000 (99.17%), best:    9923/10000 (99.23%), error:       272.33850, best error:       269.28595 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1299.0397949219s, input_fired_time: 15.4680852890, output_fired_time: 10.1102542877, propagate_forward_time: 499.6560974121, propagate_backward_time: 751.0800170898, weight_update_time: 1.9204826355, other_time: 22.7252807617
epoch time: 107.4171600342s, input_fired_time: 1.6850811243, output_fired_time: 0.0000000000, propagate_forward_time: 101.6365509033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0955276489
validation[          , genome 18354] predictions:    9916/  10000 (99.16%), best:    9923/10000 (99.23%), error:       294.34674, best error:       269.28595 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1306.0869140625s, input_fired_time: 15.5053110123, output_fired_time: 10.2312192917, propagate_forward_time: 503.0494995117, propagate_backward_time: 754.5457153320, weight_update_time: 1.9299917221, other_time: 22.7551269531
epoch time: 104.2409439087s, input_fired_time: 1.6322759390, output_fired_time: 0.0000000000, propagate_forward_time: 98.6508941650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9577713013
validation[          , genome 18354] predictions:    9914/  10000 (99.14%), best:    9923/10000 (99.23%), error:       293.74673, best error:       269.28595 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1295.8892822266s, input_fired_time: 15.4623413086, output_fired_time: 10.1110181808, propagate_forward_time: 497.6177062988, propagate_backward_time: 749.2968750000, weight_update_time: 1.9331951141, other_time: 23.4014892578
epoch time: 111.2543029785s, input_fired_time: 1.7089177370, output_fired_time: 0.0000000000, propagate_forward_time: 104.6625366211, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8828506470
validation[          , genome 18354] predictions:    9909/  10000 (99.09%), best:    9923/10000 (99.23%), error:       281.70468, best error:       269.28595 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1344.5699462891s, input_fired_time: 15.8244056702, output_fired_time: 10.5677051544, propagate_forward_time: 519.7596435547, propagate_backward_time: 775.0509033203, weight_update_time: 1.9803272486, other_time: 23.3671875000
epoch time: 108.9549865723s, input_fired_time: 1.6929249763, output_fired_time: 0.0000000000, propagate_forward_time: 103.2317352295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0303268433
validation[          , genome 18354] predictions:    9919/  10000 (99.19%), best:    9923/10000 (99.23%), error:       274.24261, best error:       269.28595 on epoch:    65, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1307.1215820312s, input_fired_time: 15.5179300308, output_fired_time: 10.2301950455, propagate_forward_time: 503.7032165527, propagate_backward_time: 754.8098144531, weight_update_time: 1.9424701929, other_time: 22.8603515625
epoch time: 109.1946105957s, input_fired_time: 1.7020591497, output_fired_time: 0.0000000000, propagate_forward_time: 103.4535827637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0389709473
validation[          , genome 18354] predictions:    9910/  10000 (99.10%), best:    9923/10000 (99.23%), error:       280.10315, best error:       269.28595 on epoch:    65, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1334.0682373047s, input_fired_time: 15.7151956558, output_fired_time: 10.4894685745, propagate_forward_time: 515.3375854492, propagate_backward_time: 769.2941284180, weight_update_time: 1.9620137215, other_time: 23.2318115234
epoch time: 108.7466583252s, input_fired_time: 1.6762676239, output_fired_time: 0.0000000000, propagate_forward_time: 103.0001373291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0702514648
validation[          , genome 18354] predictions:    9914/  10000 (99.14%), best:    9923/10000 (99.23%), error:       286.35553, best error:       269.28595 on epoch:    65, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1333.0107421875s, input_fired_time: 15.7002420425, output_fired_time: 10.5358057022, propagate_forward_time: 515.0997314453, propagate_backward_time: 768.6692504883, weight_update_time: 1.9598505497, other_time: 23.0057983398
epoch time: 108.8460006714s, input_fired_time: 1.6813282967, output_fired_time: 0.0000000000, propagate_forward_time: 103.1453933716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0192794800
validation[          , genome 18354] predictions:    9911/  10000 (99.11%), best:    9923/10000 (99.23%), error:       289.12985, best error:       269.28595 on epoch:    65, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1338.2919921875s, input_fired_time: 15.7505044937, output_fired_time: 10.7064704895, propagate_forward_time: 517.7357788086, propagate_backward_time: 771.0506591797, weight_update_time: 1.9763404131, other_time: 23.0486450195
epoch time: 109.0956115723s, input_fired_time: 1.6990295649, output_fired_time: 0.0000000000, propagate_forward_time: 103.3457565308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0508270264
validation[          , genome 18354] predictions:    9919/  10000 (99.19%), best:    9923/10000 (99.23%), error:       280.69357, best error:       269.28595 on epoch:    65, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1327.6572265625s, input_fired_time: 15.8180732727, output_fired_time: 10.4900074005, propagate_forward_time: 513.1149291992, propagate_backward_time: 765.1911621094, weight_update_time: 1.9532268047, other_time: 23.0430297852
epoch time: 107.1838226318s, input_fired_time: 1.6714359522, output_fired_time: 0.0000000000, propagate_forward_time: 101.5021591187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0102310181
validation[          , genome 18354] predictions:    9907/  10000 (99.07%), best:    9923/10000 (99.23%), error:       274.29269, best error:       269.28595 on epoch:    65, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1327.6219482422s, input_fired_time: 15.8188514709, output_fired_time: 10.4398927689, propagate_forward_time: 512.3114624023, propagate_backward_time: 766.0764770508, weight_update_time: 1.9619050026, other_time: 22.9752197266
epoch time: 109.0889282227s, input_fired_time: 1.7192668915, output_fired_time: 0.0000000000, propagate_forward_time: 103.3059692383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0636901855
validation[          , genome 18354] predictions:    9910/  10000 (99.10%), best:    9923/10000 (99.23%), error:       278.70847, best error:       269.28595 on epoch:    65, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1336.1103515625s, input_fired_time: 15.8696489334, output_fired_time: 10.5035257339, propagate_forward_time: 516.5396728516, propagate_backward_time: 770.0627441406, weight_update_time: 2.0588245392, other_time: 23.1347656250
epoch time: 108.7859802246s, input_fired_time: 1.6784268618, output_fired_time: 0.0000000000, propagate_forward_time: 103.0307693481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0767822266
validation[          , genome 18354] predictions:    9909/  10000 (99.09%), best:    9923/10000 (99.23%), error:       286.20728, best error:       269.28595 on epoch:    65, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1326.2617187500s, input_fired_time: 15.7031450272, output_fired_time: 10.3995199203, propagate_forward_time: 511.8481445312, propagate_backward_time: 765.3358764648, weight_update_time: 1.9446210861, other_time: 22.9750366211
epoch time: 106.3875885010s, input_fired_time: 1.6639443636, output_fired_time: 0.0000000000, propagate_forward_time: 100.6861495972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0374908447
validation[          , genome 18354] predictions:    9917/  10000 (99.17%), best:    9923/10000 (99.23%), error:       279.55066, best error:       269.28595 on epoch:    65, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1305.3282470703s, input_fired_time: 15.6228065491, output_fired_time: 10.1787538528, propagate_forward_time: 501.7390136719, propagate_backward_time: 755.0673217773, weight_update_time: 1.9450767040, other_time: 22.7203979492
epoch time: 105.8082351685s, input_fired_time: 1.6568249464, output_fired_time: 0.0000000000, propagate_forward_time: 100.1608352661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9905776978
validation[          , genome 18354] predictions:    9913/  10000 (99.13%), best:    9923/10000 (99.23%), error:       271.94125, best error:       269.28595 on epoch:    65, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1304.9085693359s, input_fired_time: 15.6255216599, output_fired_time: 10.1301479340, propagate_forward_time: 502.6112365723, propagate_backward_time: 753.7845458984, weight_update_time: 1.9494348764, other_time: 22.7572021484
epoch time: 105.1261444092s, input_fired_time: 1.6585893631, output_fired_time: 0.0000000000, propagate_forward_time: 99.4541473389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0134048462
validation[          , genome 18354] predictions:    9913/  10000 (99.13%), best:    9923/10000 (99.23%), error:       270.35800, best error:       269.28595 on epoch:    65, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1304.4674072266s, input_fired_time: 15.6246471405, output_fired_time: 10.2017698288, propagate_forward_time: 500.7761535645, propagate_backward_time: 755.1502075195, weight_update_time: 1.9473215342, other_time: 22.7146606445
epoch time: 105.8755493164s, input_fired_time: 1.6629928350, output_fired_time: 0.0000000000, propagate_forward_time: 100.1914978027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0210571289
validation[          , genome 18354] predictions:    9914/  10000 (99.14%), best:    9923/10000 (99.23%), error:       276.81299, best error:       269.28595 on epoch:    65, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1305.6278076172s, input_fired_time: 15.6596250534, output_fired_time: 10.1615400314, propagate_forward_time: 502.2729797363, propagate_backward_time: 754.7521362305, weight_update_time: 1.9485684633, other_time: 22.7815551758
epoch time: 105.7616043091s, input_fired_time: 1.6842106581, output_fired_time: 0.0000000000, propagate_forward_time: 100.0504684448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0269241333
validation[          , genome 18354] predictions:    9916/  10000 (99.16%), best:    9923/10000 (99.23%), error:       272.24374, best error:       269.28595 on epoch:    65, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1298.6424560547s, input_fired_time: 15.6033277512, output_fired_time: 10.0880355835, propagate_forward_time: 498.4882812500, propagate_backward_time: 751.8050537109, weight_update_time: 1.9431145191, other_time: 22.6578369141
epoch time: 106.2412414551s, input_fired_time: 1.6725876331, output_fired_time: 0.0000000000, propagate_forward_time: 100.5662918091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0023651123
validation[          , genome 18354] predictions:    9919/  10000 (99.19%), best:    9919/10000 (99.19%), error:       267.60043, best error:       267.60043 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1294.7357177734s, input_fired_time: 15.5636816025, output_fired_time: 10.1374521255, propagate_forward_time: 498.0419311523, propagate_backward_time: 748.4367065430, weight_update_time: 1.9270411730, other_time: 22.5559082031
epoch time: 104.4167938232s, input_fired_time: 1.6499636173, output_fired_time: 0.0000000000, propagate_forward_time: 98.7772903442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9895401001
validation[          , genome 18354] predictions:    9915/  10000 (99.15%), best:    9919/10000 (99.19%), error:       271.09409, best error:       267.60043 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1296.5557861328s, input_fired_time: 15.5721578598, output_fired_time: 10.1464328766, propagate_forward_time: 498.8574523926, propagate_backward_time: 749.4285888672, weight_update_time: 1.9324210882, other_time: 22.5511474609
epoch time: 104.9012222290s, input_fired_time: 1.6519137621, output_fired_time: 0.0000000000, propagate_forward_time: 99.2569046021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9924011230
validation[          , genome 18354] predictions:    9916/  10000 (99.16%), best:    9919/10000 (99.19%), error:       276.98703, best error:       267.60043 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1306.5822753906s, input_fired_time: 15.7087078094, output_fired_time: 10.1773080826, propagate_forward_time: 502.8942871094, propagate_backward_time: 754.9913330078, weight_update_time: 1.9614583254, other_time: 22.8105468750
epoch time: 106.3426055908s, input_fired_time: 1.6815598011, output_fired_time: 0.0000000000, propagate_forward_time: 100.5901412964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0709075928
validation[          , genome 18354] predictions:    9912/  10000 (99.12%), best:    9919/10000 (99.19%), error:       269.43271, best error:       267.60043 on epoch:    88, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1303.2736816406s, input_fired_time: 15.6451368332, output_fired_time: 10.1847324371, propagate_forward_time: 501.2720642090, propagate_backward_time: 753.4182128906, weight_update_time: 1.9434194565, other_time: 22.7535400391
epoch time: 106.2459259033s, input_fired_time: 1.6845815182, output_fired_time: 0.0000000000, propagate_forward_time: 100.5315856934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0297622681
validation[          , genome 18354] predictions:    9916/  10000 (99.16%), best:    9919/10000 (99.19%), error:       275.12323, best error:       267.60043 on epoch:    88, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1309.0372314453s, input_fired_time: 15.7027921677, output_fired_time: 10.2450475693, propagate_forward_time: 503.2877197266, propagate_backward_time: 756.9128417969, weight_update_time: 2.0047550201, other_time: 22.8889160156
epoch time: 106.3814392090s, input_fired_time: 1.6748735905, output_fired_time: 0.0000000000, propagate_forward_time: 100.6562576294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0503082275
validation[          , genome 18354] predictions:    9918/  10000 (99.18%), best:    9919/10000 (99.19%), error:       269.85913, best error:       267.60043 on epoch:    88, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1311.4465332031s, input_fired_time: 15.6962623596, output_fired_time: 10.2710971832, propagate_forward_time: 504.9308166504, propagate_backward_time: 757.6387939453, weight_update_time: 1.9650322199, other_time: 22.9095458984
epoch time: 108.5589447021s, input_fired_time: 1.7074400187, output_fired_time: 0.0000000000, propagate_forward_time: 102.7106704712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1408309937
validation[          , genome 18354] predictions:    9911/  10000 (99.11%), best:    9919/10000 (99.19%), error:       274.79156, best error:       267.60043 on epoch:    88, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1333.6807861328s, input_fired_time: 15.7793874741, output_fired_time: 10.5043077469, propagate_forward_time: 515.2836914062, propagate_backward_time: 769.1019897461, weight_update_time: 1.9586158991, other_time: 23.0114135742
epoch time: 107.9299926758s, input_fired_time: 1.6863830090, output_fired_time: 0.0000000000, propagate_forward_time: 102.1863250732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0572814941
validation[          , genome 18354] predictions:    9911/  10000 (99.11%), best:    9919/10000 (99.19%), error:       282.61578, best error:       267.60043 on epoch:    88, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1327.4951171875s, input_fired_time: 15.7501649857, output_fired_time: 10.5019397736, propagate_forward_time: 512.0108642578, propagate_backward_time: 766.0422973633, weight_update_time: 1.9640027285, other_time: 23.1898803711
epoch time: 108.6753387451s, input_fired_time: 1.7182838917, output_fired_time: 0.0000000000, propagate_forward_time: 102.8644561768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0925979614
validation[          , genome 18354] predictions:    9922/  10000 (99.22%), best:    9919/10000 (99.19%), error:       275.15027, best error:       267.60043 on epoch:    88, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1326.9304199219s, input_fired_time: 15.7895307541, output_fired_time: 10.4547224045, propagate_forward_time: 512.5266113281, propagate_backward_time: 765.1577758789, weight_update_time: 1.9450818300, other_time: 23.0017700195
epoch time: 107.2311706543s, input_fired_time: 1.6771712303, output_fired_time: 0.0000000000, propagate_forward_time: 101.4776382446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0763626099
validation[          , genome 18354] predictions:    9915/  10000 (99.15%), best:    9919/10000 (99.19%), error:       271.32727, best error:       267.60043 on epoch:    88, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1315.5272216797s, input_fired_time: 15.7040119171, output_fired_time: 10.3561334610, propagate_forward_time: 508.0062866211, propagate_backward_time: 758.5240478516, weight_update_time: 1.9389470816, other_time: 22.9368286133
epoch time: 107.7575378418s, input_fired_time: 1.6839734316, output_fired_time: 0.0000000000, propagate_forward_time: 101.9775695801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0959930420
validation[          , genome 18354] predictions:    9914/  10000 (99.14%), best:    9919/10000 (99.19%), error:       275.25397, best error:       267.60043 on epoch:    88, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1313.9038085938s, input_fired_time: 15.6901321411, output_fired_time: 10.3772296906, propagate_forward_time: 505.8177185059, propagate_backward_time: 759.0012817383, weight_update_time: 1.9314031601, other_time: 23.0173950195
epoch time: 107.9685516357s, input_fired_time: 1.6824392080, output_fired_time: 0.0000000000, propagate_forward_time: 102.2153778076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0707321167
validation[          , genome 18354] predictions:    9916/  10000 (99.16%), best:    9919/10000 (99.19%), error:       276.09052, best error:       267.60043 on epoch:    88, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1307.6254882812s, input_fired_time: 15.6202821732, output_fired_time: 10.2395715714, propagate_forward_time: 504.2023315430, propagate_backward_time: 754.6438598633, weight_update_time: 1.9325004816, other_time: 22.9194335938
epoch time: 105.9527359009s, input_fired_time: 1.6751148701, output_fired_time: 0.0000000000, propagate_forward_time: 100.2466201782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0309982300
validation[          , genome 18354] predictions:    9919/  10000 (99.19%), best:    9919/10000 (99.19%), error:       273.75864, best error:       267.60043 on epoch:    88, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 531.9411010742s, input_fired_time: 8.4102373123, output_fired_time: 0.0000000000, propagate_forward_time: 503.3716735840, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.1592102051
best training[          , genome 18354] predictions:   50000/  50000 (100.00%), best:    9919/10000 (99.19%), error:        76.67790, best error:       267.60043 on epoch:    88, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 105.9647216797s, input_fired_time: 1.6493272781, output_fired_time: 0.0000000000, propagate_forward_time: 99.9468536377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3685379028
   testing[          , genome 18354] predictions:    9923/  10000 (99.23%), best:    9919/10000 (99.19%), error:       231.65794, best error:       267.60043 on epoch:    88, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
19:58:30 (5604): called boinc_finish(0)

</stderr_txt>
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