Nameexact_genome_1542531604_175_6266_2
Workunit4097752
Created18 Nov 2018, 17:07:16 UTC
Sent18 Nov 2018, 17:54:25 UTC
Report deadline5 Jan 2019, 16:15:02 UTC
Received15 Dec 2018, 18:05:29 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID79157
Run time12 hours 17 min 58 sec
CPU time12 hours 13 min 21 sec
Validate stateValid
Credit11,982.75
Device peak FLOPS4.43 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.64 MB
Peak swap size545.45 MB
Peak disk usage9.94 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
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_1542531604_175_6266.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_175_6266_2_r1228529359_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542531604_175_6266.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 6266
read normal distribution: '0 -0.49573215842247 1.1177681684494'
generator_str: '679543537'
read generator: 679543537
read generated_by_map:
1 change_size_x 1
reading 76 nodes.
reading 295 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 770191613
post shuffle 1: 906095453
epoch time: 815.8330078125s, input_fired_time: 7.39787197113037, output_fired_time: 4.99993848800659, propagate_forward_time: 227.58674621582, propagate_backward_time: 568.426513671875, weight_update_time: 0.735279977321625, other_time: 7.42193603515625
epoch time: 47.4352760314941s, input_fired_time: 0.789099454879761, output_fired_time: 0, propagate_forward_time: 45.4247436523438, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.22143173217773
validation[          , genome  6266] predictions:    5035/  10000 (50.35%), best:    5035/10000 (50.35%), error:     17662.54688, best error:     17662.54688 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 814.5275268555s, input_fired_time: 7.3448023796, output_fired_time: 4.9988818169, propagate_forward_time: 227.2279205322, propagate_backward_time: 567.0880126953, weight_update_time: 0.7372111678, other_time: 7.8679199219
epoch time: 48.1176643372s, input_fired_time: 0.7627527714, output_fired_time: 0.0000000000, propagate_forward_time: 45.3943977356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9605140686
validation[          , genome  6266] predictions:    4645/  10000 (46.45%), best:    5035/10000 (50.35%), error:     18581.10938, best error:     17662.54688 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 813.3434448242s, input_fired_time: 7.3113260269, output_fired_time: 4.9956297874, propagate_forward_time: 226.8311614990, propagate_backward_time: 566.4940795898, weight_update_time: 0.7395380735, other_time: 7.7112426758
epoch time: 47.3468627930s, input_fired_time: 0.7607053518, output_fired_time: 0.0000000000, propagate_forward_time: 45.3573760986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2287826538
validation[          , genome  6266] predictions:    4838/  10000 (48.38%), best:    5035/10000 (50.35%), error:     18076.16406, best error:     17662.54688 on epoch:     0, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 812.7053222656s, input_fired_time: 7.2837367058, output_fired_time: 4.9876441956, propagate_forward_time: 226.7389526367, propagate_backward_time: 565.9578857422, weight_update_time: 0.7349022031, other_time: 7.7370605469
epoch time: 47.4155807495s, input_fired_time: 0.7442199588, output_fired_time: 0.0000000000, propagate_forward_time: 45.3823623657, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2889976501
validation[          , genome  6266] predictions:    5008/  10000 (50.08%), best:    5008/10000 (50.08%), error:     17098.96484, best error:     17098.96484 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 812.6859741211s, input_fired_time: 7.2749819756, output_fired_time: 4.9925498962, propagate_forward_time: 227.0492553711, propagate_backward_time: 565.6505126953, weight_update_time: 0.7420986891, other_time: 7.7186889648
epoch time: 47.2950592041s, input_fired_time: 0.7453776598, output_fired_time: 0.0000000000, propagate_forward_time: 45.3275146484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2221679688
validation[          , genome  6266] predictions:    5249/  10000 (52.49%), best:    5249/10000 (52.49%), error:     15191.31934, best error:     15191.31934 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 813.0913085938s, input_fired_time: 7.2774839401, output_fired_time: 5.0024380684, propagate_forward_time: 226.9712066650, propagate_backward_time: 566.1683349609, weight_update_time: 0.7368425727, other_time: 7.6718750000
epoch time: 47.2928237915s, input_fired_time: 0.7547041774, output_fired_time: 0.0000000000, propagate_forward_time: 45.3171653748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2209548950
validation[          , genome  6266] predictions:    5197/  10000 (51.97%), best:    5249/10000 (52.49%), error:     16005.68066, best error:     15191.31934 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 813.0961303711s, input_fired_time: 7.2760343552, output_fired_time: 4.9912004471, propagate_forward_time: 226.9042053223, propagate_backward_time: 566.1314697266, weight_update_time: 0.7391747832, other_time: 7.7932128906
epoch time: 47.2652816772s, input_fired_time: 0.7419152856, output_fired_time: 0.0000000000, propagate_forward_time: 45.3035583496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2198066711
validation[          , genome  6266] predictions:    5139/  10000 (51.39%), best:    5249/10000 (52.49%), error:     15841.78125, best error:     15191.31934 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 812.7205200195s, input_fired_time: 7.2701582909, output_fired_time: 4.9908823967, propagate_forward_time: 226.8069915771, propagate_backward_time: 565.9469604492, weight_update_time: 0.7347931862, other_time: 7.7055053711
epoch time: 47.2875480652s, input_fired_time: 0.7482055426, output_fired_time: 0.0000000000, propagate_forward_time: 45.3168601990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2224807739
validation[          , genome  6266] predictions:    5174/  10000 (51.74%), best:    5174/10000 (51.74%), error:     14922.30469, best error:     14922.30469 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 812.8202514648s, input_fired_time: 7.2724757195, output_fired_time: 4.9874763489, propagate_forward_time: 226.8146362305, propagate_backward_time: 566.0175170898, weight_update_time: 0.7377696037, other_time: 7.7281494141
epoch time: 47.2616310120s, input_fired_time: 0.7337839603, output_fired_time: 0.0000000000, propagate_forward_time: 45.3039550781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2238922119
validation[          , genome  6266] predictions:    4939/  10000 (49.39%), best:    5174/10000 (51.74%), error:     16298.96387, best error:     14922.30469 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 813.6831665039s, input_fired_time: 7.2939291000, output_fired_time: 4.9974393845, propagate_forward_time: 227.0158691406, propagate_backward_time: 566.6494750977, weight_update_time: 0.7391063571, other_time: 7.7264404297
epoch time: 47.3314361572s, input_fired_time: 0.7490039468, output_fired_time: 0.0000000000, propagate_forward_time: 45.3591117859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2233200073
validation[          , genome  6266] predictions:    5487/  10000 (54.87%), best:    5487/10000 (54.87%), error:     13851.34863, best error:     13851.34863 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 813.1987915039s, input_fired_time: 7.2899084091, output_fired_time: 4.9928846359, propagate_forward_time: 226.8745269775, propagate_backward_time: 566.2584228516, weight_update_time: 0.7354632616, other_time: 7.7830810547
epoch time: 47.3284378052s, input_fired_time: 0.7455211282, output_fired_time: 0.0000000000, propagate_forward_time: 45.3622817993, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2206344604
validation[          , genome  6266] predictions:    5414/  10000 (54.14%), best:    5487/10000 (54.87%), error:     14016.83301, best error:     13851.34863 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 812.8356323242s, input_fired_time: 7.3015308380, output_fired_time: 4.9912433624, propagate_forward_time: 226.9282073975, propagate_backward_time: 565.9132080078, weight_update_time: 0.7345801592, other_time: 7.7014160156
epoch time: 47.2992630005s, input_fired_time: 0.7706869841, output_fired_time: 0.0000000000, propagate_forward_time: 45.3037719727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2248039246
validation[          , genome  6266] predictions:    5549/  10000 (55.49%), best:    5487/10000 (54.87%), error:     14147.20801, best error:     13851.34863 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 813.3942260742s, input_fired_time: 7.2991023064, output_fired_time: 4.9925837517, propagate_forward_time: 226.9973144531, propagate_backward_time: 566.4132690430, weight_update_time: 0.7373569608, other_time: 7.6920166016
epoch time: 47.3958091736s, input_fired_time: 0.7634080648, output_fired_time: 0.0000000000, propagate_forward_time: 45.3662528992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2661476135
validation[          , genome  6266] predictions:    5326/  10000 (53.26%), best:    5487/10000 (54.87%), error:     14986.12891, best error:     13851.34863 on epoch:     9, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 812.8514404297s, input_fired_time: 7.3093872070, output_fired_time: 4.9912095070, propagate_forward_time: 226.9179077148, propagate_backward_time: 566.2164916992, weight_update_time: 0.7348138094, other_time: 7.4164428711
epoch time: 47.3184890747s, input_fired_time: 0.7599735260, output_fired_time: 0.0000000000, propagate_forward_time: 45.3291091919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2294082642
validation[          , genome  6266] predictions:    5416/  10000 (54.16%), best:    5487/10000 (54.87%), error:     14047.73438, best error:     13851.34863 on epoch:     9, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 813.0583496094s, input_fired_time: 7.3287663460, output_fired_time: 4.9913110733, propagate_forward_time: 226.9375457764, propagate_backward_time: 566.2301635742, weight_update_time: 0.7377921343, other_time: 7.5704956055
epoch time: 47.3155937195s, input_fired_time: 0.7511116862, output_fired_time: 0.0000000000, propagate_forward_time: 45.3457489014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2187347412
validation[          , genome  6266] predictions:    5455/  10000 (54.55%), best:    5487/10000 (54.87%), error:     14294.65918, best error:     13851.34863 on epoch:     9, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 813.7938842773s, input_fired_time: 7.3491950035, output_fired_time: 4.9994258881, propagate_forward_time: 227.0450439453, propagate_backward_time: 566.4973144531, weight_update_time: 0.7375144958, other_time: 7.9028930664
epoch time: 47.2979164124s, input_fired_time: 0.7571616769, output_fired_time: 0.0000000000, propagate_forward_time: 45.3172645569, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2234916687
validation[          , genome  6266] predictions:    5540/  10000 (55.40%), best:    5487/10000 (54.87%), error:     13937.87305, best error:     13851.34863 on epoch:     9, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 813.5557250977s, input_fired_time: 7.3600664139, output_fired_time: 4.9983358383, propagate_forward_time: 227.1514434814, propagate_backward_time: 566.4360961914, weight_update_time: 0.7359707952, other_time: 7.6098022461
epoch time: 47.3662948608s, input_fired_time: 0.7705628276, output_fired_time: 0.0000000000, propagate_forward_time: 45.3748779297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2208557129
validation[          , genome  6266] predictions:    5517/  10000 (55.17%), best:    5487/10000 (54.87%), error:     14271.18750, best error:     13851.34863 on epoch:     9, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 812.9711914063s, input_fired_time: 7.3501920700, output_fired_time: 4.9904499054, propagate_forward_time: 226.8801727295, propagate_backward_time: 566.1597900391, weight_update_time: 0.7368532419, other_time: 7.5905151367
epoch time: 47.3125572205s, input_fired_time: 0.7629556656, output_fired_time: 0.0000000000, propagate_forward_time: 45.3229942322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2266082764
validation[          , genome  6266] predictions:    5467/  10000 (54.67%), best:    5487/10000 (54.87%), error:     13894.96484, best error:     13851.34863 on epoch:     9, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 813.2723999023s, input_fired_time: 7.3636698723, output_fired_time: 4.9941039085, propagate_forward_time: 227.0572052002, propagate_backward_time: 566.2380371094, weight_update_time: 0.7373059988, other_time: 7.6194458008
epoch time: 47.3016128540s, input_fired_time: 0.7709851861, output_fired_time: 0.0000000000, propagate_forward_time: 45.3053627014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2252655029
validation[          , genome  6266] predictions:    5581/  10000 (55.81%), best:    5581/10000 (55.81%), error:     13528.02441, best error:     13528.02441 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 813.5204467773s, input_fired_time: 7.3859820366, output_fired_time: 4.9945588112, propagate_forward_time: 227.2091217041, propagate_backward_time: 566.3190307617, weight_update_time: 0.7371420860, other_time: 7.6117553711
epoch time: 47.3156509399s, input_fired_time: 0.7651285529, output_fired_time: 0.0000000000, propagate_forward_time: 45.3252258301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2252960205
validation[          , genome  6266] predictions:    5554/  10000 (55.54%), best:    5581/10000 (55.81%), error:     13608.77832, best error:     13528.02441 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 813.5189208984s, input_fired_time: 7.3881616592, output_fired_time: 4.9881548882, propagate_forward_time: 226.9678955078, propagate_backward_time: 566.4877319336, weight_update_time: 0.7357041240, other_time: 7.6869506836
epoch time: 47.3309326172s, input_fired_time: 0.7730970979, output_fired_time: 0.0000000000, propagate_forward_time: 45.3420333862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2158012390
validation[          , genome  6266] predictions:    5708/  10000 (57.08%), best:    5708/10000 (57.08%), error:     13370.59082, best error:     13370.59082 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 813.3352050781s, input_fired_time: 7.3884482384, output_fired_time: 4.9949016571, propagate_forward_time: 226.9103240967, propagate_backward_time: 566.3173828125, weight_update_time: 0.7361639738, other_time: 7.7241821289
epoch time: 47.3704414368s, input_fired_time: 0.7659792304, output_fired_time: 0.0000000000, propagate_forward_time: 45.3787460327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2257156372
validation[          , genome  6266] predictions:    5357/  10000 (53.57%), best:    5708/10000 (57.08%), error:     14784.87012, best error:     13370.59082 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 813.3712158203s, input_fired_time: 7.4097423553, output_fired_time: 5.0047144890, propagate_forward_time: 226.8496551514, propagate_backward_time: 566.3916625977, weight_update_time: 0.7383638620, other_time: 7.7154541016
epoch time: 47.3340377808s, input_fired_time: 0.7845000029, output_fired_time: 0.0000000000, propagate_forward_time: 45.3303413391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2191963196
validation[          , genome  6266] predictions:    5686/  10000 (56.86%), best:    5686/10000 (56.86%), error:     13366.70898, best error:     13366.70898 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 813.4097290039s, input_fired_time: 7.4221158028, output_fired_time: 4.9860363007, propagate_forward_time: 226.9090270996, propagate_backward_time: 566.4191894531, weight_update_time: 0.7366147041, other_time: 7.6733398438
epoch time: 47.4306144714s, input_fired_time: 0.7803042531, output_fired_time: 0.0000000000, propagate_forward_time: 45.4301986694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2201118469
validation[          , genome  6266] predictions:    5842/  10000 (58.42%), best:    5842/10000 (58.42%), error:     12644.66504, best error:     12644.66504 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 813.1555175781s, input_fired_time: 7.4113659859, output_fired_time: 4.9921689034, propagate_forward_time: 226.9103851318, propagate_backward_time: 566.1738281250, weight_update_time: 0.7354816794, other_time: 7.6677246094
epoch time: 47.3397521973s, input_fired_time: 0.7834448814, output_fired_time: 0.0000000000, propagate_forward_time: 45.3347892761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2215194702
validation[          , genome  6266] predictions:    5667/  10000 (56.67%), best:    5842/10000 (58.42%), error:     13590.64844, best error:     12644.66504 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 813.1923217773s, input_fired_time: 7.4425644875, output_fired_time: 4.9970426559, propagate_forward_time: 226.9452667236, propagate_backward_time: 566.1481933594, weight_update_time: 0.7364631295, other_time: 7.6592407227
epoch time: 47.3725738525s, input_fired_time: 0.7783737779, output_fired_time: 0.0000000000, propagate_forward_time: 45.3634338379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2307662964
validation[          , genome  6266] predictions:    5554/  10000 (55.54%), best:    5842/10000 (58.42%), error:     13822.50879, best error:     12644.66504 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 814.2414550781s, input_fired_time: 7.4676008224, output_fired_time: 5.0097298622, propagate_forward_time: 227.2322998047, propagate_backward_time: 566.6109008789, weight_update_time: 0.7370228767, other_time: 7.9209594727
epoch time: 47.4714584351s, input_fired_time: 0.7662959099, output_fired_time: 0.0000000000, propagate_forward_time: 45.4696807861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2354812622
validation[          , genome  6266] predictions:    5206/  10000 (52.06%), best:    5842/10000 (58.42%), error:     15802.70605, best error:     12644.66504 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 819.6519165039s, input_fired_time: 7.5244894028, output_fired_time: 5.0549297333, propagate_forward_time: 228.2984008789, propagate_backward_time: 570.7369384766, weight_update_time: 0.7476767302, other_time: 8.0371704102
epoch time: 48.3263854980s, input_fired_time: 0.8008749485, output_fired_time: 0.0000000000, propagate_forward_time: 45.6080818176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9174270630
validation[          , genome  6266] predictions:    5848/  10000 (58.48%), best:    5842/10000 (58.42%), error:     12784.71777, best error:     12644.66504 on epoch:    23, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 817.4052734375s, input_fired_time: 7.5303039551, output_fired_time: 5.0673680305, propagate_forward_time: 228.2747497559, propagate_backward_time: 569.4586791992, weight_update_time: 0.7555633783, other_time: 7.0741577148
epoch time: 47.6038284302s, input_fired_time: 0.7937069535, output_fired_time: 0.0000000000, propagate_forward_time: 45.5580787659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2520408630
validation[          , genome  6266] predictions:    5689/  10000 (56.89%), best:    5842/10000 (58.42%), error:     13392.84863, best error:     12644.66504 on epoch:    23, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 816.5928955078s, input_fired_time: 7.5655169487, output_fired_time: 5.0609049797, propagate_forward_time: 228.3580169678, propagate_backward_time: 568.5801391602, weight_update_time: 0.7501323819, other_time: 7.0283203125
epoch time: 47.9277839661s, input_fired_time: 0.8117581606, output_fired_time: 0.0000000000, propagate_forward_time: 45.8698577881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2461662292
validation[          , genome  6266] predictions:    5885/  10000 (58.85%), best:    5842/10000 (58.42%), error:     12794.38867, best error:     12644.66504 on epoch:    23, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 816.7623291016s, input_fired_time: 7.5166373253, output_fired_time: 5.0768074989, propagate_forward_time: 227.9599609375, propagate_backward_time: 569.1979980469, weight_update_time: 0.7489604354, other_time: 7.0109252930
epoch time: 47.9205589294s, input_fired_time: 0.8099732399, output_fired_time: 0.0000000000, propagate_forward_time: 45.8288383484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2817459106
validation[          , genome  6266] predictions:    5746/  10000 (57.46%), best:    5842/10000 (58.42%), error:     13397.94727, best error:     12644.66504 on epoch:    23, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 816.3826293945s, input_fired_time: 7.5349597931, output_fired_time: 5.0608444214, propagate_forward_time: 227.9014282227, propagate_backward_time: 568.7639160156, weight_update_time: 0.7456585169, other_time: 7.1214599609
epoch time: 47.7218132019s, input_fired_time: 0.7982242107, output_fired_time: 0.0000000000, propagate_forward_time: 45.6657524109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2578353882
validation[          , genome  6266] predictions:    5709/  10000 (57.09%), best:    5842/10000 (58.42%), error:     13328.69141, best error:     12644.66504 on epoch:    23, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 818.0651245117s, input_fired_time: 7.5593919754, output_fired_time: 5.0637240410, propagate_forward_time: 228.5780181885, propagate_backward_time: 569.5398559570, weight_update_time: 0.7463032603, other_time: 7.3241577148
epoch time: 47.3401718140s, input_fired_time: 0.7877956033, output_fired_time: 0.0000000000, propagate_forward_time: 45.3410034180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2113723755
validation[          , genome  6266] predictions:    5853/  10000 (58.53%), best:    5853/10000 (58.53%), error:     12570.28809, best error:     12570.28809 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 813.1460571289s, input_fired_time: 7.5071606636, output_fired_time: 4.9928960800, propagate_forward_time: 226.8202209473, propagate_backward_time: 566.4362792969, weight_update_time: 0.7385244966, other_time: 7.3895263672
epoch time: 47.4137802124s, input_fired_time: 0.7914234400, output_fired_time: 0.0000000000, propagate_forward_time: 45.4018440247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2205123901
validation[          , genome  6266] predictions:    5764/  10000 (57.64%), best:    5853/10000 (58.53%), error:     13085.82031, best error:     12570.28809 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 813.2106933594s, input_fired_time: 7.5249352455, output_fired_time: 4.9903192520, propagate_forward_time: 226.8675384521, propagate_backward_time: 566.4105224609, weight_update_time: 0.7372175455, other_time: 7.4173583984
epoch time: 47.3108673096s, input_fired_time: 0.8037991524, output_fired_time: 0.0000000000, propagate_forward_time: 45.2842712402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2227973938
validation[          , genome  6266] predictions:    5875/  10000 (58.75%), best:    5875/10000 (58.75%), error:     12456.81055, best error:     12456.81055 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 812.9869995117s, input_fired_time: 7.5327963829, output_fired_time: 4.9976539612, propagate_forward_time: 227.0186309814, propagate_backward_time: 566.0043334961, weight_update_time: 0.7464778423, other_time: 7.4335937500
epoch time: 47.3898582458s, input_fired_time: 0.8087162971, output_fired_time: 0.0000000000, propagate_forward_time: 45.3602523804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2208900452
validation[          , genome  6266] predictions:    6055/  10000 (60.55%), best:    6055/10000 (60.55%), error:     11901.14063, best error:     11901.14063 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 813.1304931641s, input_fired_time: 7.5243020058, output_fired_time: 4.9960517883, propagate_forward_time: 227.0921630859, propagate_backward_time: 566.1383056641, weight_update_time: 0.7333891988, other_time: 7.3796997070
epoch time: 47.3771400452s, input_fired_time: 0.7937278152, output_fired_time: 0.0000000000, propagate_forward_time: 45.3522834778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2311286926
validation[          , genome  6266] predictions:    5638/  10000 (56.38%), best:    6055/10000 (60.55%), error:     13477.23633, best error:     11901.14063 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

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_1542531604_175_6266.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_175_6266_2_r1228529359_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-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: 37
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 35
read number_validation_images: 10000
read best_validation_predictions: 6055
read best_validation_error: 11901.1
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: 6266
read normal distribution: '0 -0.49573215842247 1.1177681684494'
generator_str: '557802285'
read generator: 557802285
read generated_by_map:
1 change_size_x 1
reading 76 nodes.
reading 295 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: 806.365295410156s, input_fired_time: 7.461594581604, output_fired_time: 4.94909191131592, propagate_forward_time: 225.020141601563, propagate_backward_time: 561.767761230469, weight_update_time: 0.7276451587677, other_time: 7.16668701171875
epoch time: 47.0473556518555s, input_fired_time: 0.803470492362976, output_fired_time: 0, propagate_forward_time: 45.0245399475098, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.21934509277344
validation[          , genome  6266] predictions:    5892/  10000 (58.92%), best:    6055/10000 (60.55%), error:     12584.40723, best error:     11901.14063 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 807.0572509766s, input_fired_time: 7.4909887314, output_fired_time: 4.9480414391, propagate_forward_time: 225.2594451904, propagate_backward_time: 561.9981689453, weight_update_time: 0.7269364595, other_time: 7.3605957031
epoch time: 47.0658226013s, input_fired_time: 0.7930518389, output_fired_time: 0.0000000000, propagate_forward_time: 45.0553970337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2173728943
validation[          , genome  6266] predictions:    5762/  10000 (57.62%), best:    6055/10000 (60.55%), error:     13345.34570, best error:     11901.14063 on epoch:    35, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 806.6602172852s, input_fired_time: 7.4780244827, output_fired_time: 4.9433026314, propagate_forward_time: 225.0912628174, propagate_backward_time: 561.8041992188, weight_update_time: 0.7295774221, other_time: 7.3434448242
epoch time: 46.8867340088s, input_fired_time: 0.7923840880, output_fired_time: 0.0000000000, propagate_forward_time: 44.8776550293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2166938782
validation[          , genome  6266] predictions:    6020/  10000 (60.20%), best:    6055/10000 (60.55%), error:     12508.52051, best error:     11901.14063 on epoch:    35, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 817.2836303711s, input_fired_time: 7.5447249413, output_fired_time: 4.9749240875, propagate_forward_time: 227.1441650391, propagate_backward_time: 568.2493286133, weight_update_time: 0.7338029742, other_time: 9.3704833984
epoch time: 48.5424232483s, input_fired_time: 0.8000992537, output_fired_time: 0.0000000000, propagate_forward_time: 45.1312942505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6110305786
validation[          , genome  6266] predictions:    5895/  10000 (58.95%), best:    6055/10000 (60.55%), error:     12812.67969, best error:     11901.14063 on epoch:    35, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 810.8054809570s, input_fired_time: 7.5429558754, output_fired_time: 4.9626717567, propagate_forward_time: 226.3686828613, propagate_backward_time: 564.5563964844, weight_update_time: 0.7311693430, other_time: 7.3747558594
epoch time: 47.1618499756s, input_fired_time: 0.8165217638, output_fired_time: 0.0000000000, propagate_forward_time: 45.1359939575, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2093353271
validation[          , genome  6266] predictions:    6081/  10000 (60.81%), best:    6055/10000 (60.55%), error:     12069.56055, best error:     11901.14063 on epoch:    35, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 819.3605346680s, input_fired_time: 7.5804142952, output_fired_time: 5.0068769455, propagate_forward_time: 228.0174255371, propagate_backward_time: 569.5940551758, weight_update_time: 0.7353561521, other_time: 9.1616821289
epoch time: 48.5043182373s, input_fired_time: 0.8063706160, output_fired_time: 0.0000000000, propagate_forward_time: 45.0678176880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6301307678
validation[          , genome  6266] predictions:    6039/  10000 (60.39%), best:    6055/10000 (60.55%), error:     12299.94922, best error:     11901.14063 on epoch:    35, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 807.5462036133s, input_fired_time: 7.5148777962, output_fired_time: 4.9472508430, propagate_forward_time: 225.3883209229, propagate_backward_time: 562.2935180664, weight_update_time: 0.7301964164, other_time: 7.4022216797
epoch time: 46.9926071167s, input_fired_time: 0.8087099791, output_fired_time: 0.0000000000, propagate_forward_time: 44.9659233093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2179756165
validation[          , genome  6266] predictions:    5877/  10000 (58.77%), best:    6055/10000 (60.55%), error:     12915.55664, best error:     11901.14063 on epoch:    35, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 807.6577758789s, input_fired_time: 7.5127091408, output_fired_time: 4.9533247948, propagate_forward_time: 225.3920135498, propagate_backward_time: 562.5239868164, weight_update_time: 0.7279241085, other_time: 7.2757568359
epoch time: 47.0620956421s, input_fired_time: 0.8063825369, output_fired_time: 0.0000000000, propagate_forward_time: 45.0318527222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2238616943
validation[          , genome  6266] predictions:    5990/  10000 (59.90%), best:    6055/10000 (60.55%), error:     12547.77148, best error:     11901.14063 on epoch:    35, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 807.3918457031s, input_fired_time: 7.5486602783, output_fired_time: 4.9545888901, propagate_forward_time: 225.4596862793, propagate_backward_time: 562.0701293945, weight_update_time: 0.7318351269, other_time: 7.3588256836
epoch time: 46.9474754333s, input_fired_time: 0.7879489064, output_fired_time: 0.0000000000, propagate_forward_time: 44.9470367432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2124900818
validation[          , genome  6266] predictions:    5819/  10000 (58.19%), best:    6055/10000 (60.55%), error:     12975.20020, best error:     11901.14063 on epoch:    35, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 807.4765014648s, input_fired_time: 7.5469489098, output_fired_time: 4.9553937912, propagate_forward_time: 225.5059661865, propagate_backward_time: 562.1147460938, weight_update_time: 0.7283412814, other_time: 7.3534545898
epoch time: 47.0820503235s, input_fired_time: 0.8126738667, output_fired_time: 0.0000000000, propagate_forward_time: 45.0469322205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2224426270
validation[          , genome  6266] predictions:    5936/  10000 (59.36%), best:    6055/10000 (60.55%), error:     12407.41016, best error:     11901.14063 on epoch:    35, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 806.6412353516s, input_fired_time: 7.5427560806, output_fired_time: 4.9530038834, propagate_forward_time: 225.1830444336, propagate_backward_time: 561.6050415039, weight_update_time: 0.7278754711, other_time: 7.3573608398
epoch time: 47.2920303345s, input_fired_time: 0.8130514622, output_fired_time: 0.0000000000, propagate_forward_time: 45.2464065552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2325706482
validation[          , genome  6266] predictions:    6002/  10000 (60.02%), best:    6055/10000 (60.55%), error:     12359.77637, best error:     11901.14063 on epoch:    35, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 806.0342407227s, input_fired_time: 7.5330581665, output_fired_time: 4.9446196556, propagate_forward_time: 224.8670501709, propagate_backward_time: 561.3772583008, weight_update_time: 0.7316229939, other_time: 7.3121948242
epoch time: 46.9809989929s, input_fired_time: 0.8043931723, output_fired_time: 0.0000000000, propagate_forward_time: 44.9612731934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2153320313
validation[          , genome  6266] predictions:    5952/  10000 (59.52%), best:    6055/10000 (60.55%), error:     12389.75586, best error:     11901.14063 on epoch:    35, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 806.2474975586s, input_fired_time: 7.5333895683, output_fired_time: 4.9358625412, propagate_forward_time: 225.0488739014, propagate_backward_time: 561.4394531250, weight_update_time: 0.7286512852, other_time: 7.2899169922
epoch time: 46.9457015991s, input_fired_time: 0.8094765544, output_fired_time: 0.0000000000, propagate_forward_time: 44.9244461060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2117805481
validation[          , genome  6266] predictions:    5962/  10000 (59.62%), best:    6055/10000 (60.55%), error:     12336.49023, best error:     11901.14063 on epoch:    35, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 805.2895507813s, input_fired_time: 7.5368905067, output_fired_time: 4.9437575340, propagate_forward_time: 224.8051757813, propagate_backward_time: 560.6959228516, weight_update_time: 0.7287290692, other_time: 7.3078002930
epoch time: 46.8458557129s, input_fired_time: 0.7920954823, output_fired_time: 0.0000000000, propagate_forward_time: 44.8412666321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2124938965
validation[          , genome  6266] predictions:    5949/  10000 (59.49%), best:    6055/10000 (60.55%), error:     12644.53027, best error:     11901.14063 on epoch:    35, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 234.3442840576s, input_fired_time: 4.0049819946, output_fired_time: 0.0000000000, propagate_forward_time: 224.3884429932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9508514404
best training[          , genome  6266] predictions:   35317/  50000 (70.63%), best:    6055/10000 (60.55%), error:     42311.07422, best error:     11901.14063 on epoch:    35, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 48.3686485291s, input_fired_time: 0.7991273403, output_fired_time: 0.0000000000, propagate_forward_time: 44.8986740112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6708488464
   testing[          , genome  6266] predictions:    6055/  10000 (60.55%), best:    6055/10000 (60.55%), error:     11901.14063, best error:     11901.14063 on epoch:    35, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
12:04:31 (7532): called boinc_finish(0)

</stderr_txt>
]]>