Nameexact_genome_1540823703_183_5421_2
Workunit4077401
Created17 Dec 2018, 9:46:17 UTC
Sent17 Dec 2018, 9:46:29 UTC
Report deadline18 Feb 2019, 5:29:46 UTC
Received18 Dec 2018, 10:19:33 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time20 hours 34 min 58 sec
CPU time20 hours 25 min 5 sec
Validate stateValid
Credit15,705.43
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size512.04 MB
Peak swap size533.38 MB
Peak disk usage8.40 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
56, propagate_backward_time: 455.5060119629, weight_update_time: 0.5120944381, other_time: 8.4391784668
epoch time: 46.6070671082s, input_fired_time: 0.6956093311, output_fired_time: 0.0000000000, propagate_forward_time: 44.3141632080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5972938538
validation[          , genome  5421] predictions:    5559/  10000 (55.59%), best:    5559/10000 (55.59%), error:     13441.02344, best error:     13441.02344 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 697.6079101563s, input_fired_time: 5.8616418839, output_fired_time: 4.4168400764, propagate_forward_time: 221.3899230957, propagate_backward_time: 457.2841186523, weight_update_time: 0.5114810467, other_time: 8.6553649902
epoch time: 46.0332946777s, input_fired_time: 0.6897509098, output_fired_time: 0.0000000000, propagate_forward_time: 43.7728118896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5707321167
validation[          , genome  5421] predictions:    5567/  10000 (55.67%), best:    5559/10000 (55.59%), error:     13595.81543, best error:     13441.02344 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 692.3910522461s, input_fired_time: 5.8090333939, output_fired_time: 4.3555688858, propagate_forward_time: 218.7816314697, propagate_backward_time: 454.9977416992, weight_update_time: 0.5104119182, other_time: 8.4470825195
epoch time: 45.5113258362s, input_fired_time: 0.6800557375, output_fired_time: 0.0000000000, propagate_forward_time: 43.3040657043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5272026062
validation[          , genome  5421] predictions:    5513/  10000 (55.13%), best:    5559/10000 (55.59%), error:     13568.15625, best error:     13441.02344 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 689.8498535156s, input_fired_time: 5.8018269539, output_fired_time: 4.3321709633, propagate_forward_time: 217.9115905762, propagate_backward_time: 453.5904541016, weight_update_time: 0.5104947090, other_time: 8.2138366699
epoch time: 45.6456527710s, input_fired_time: 0.6883037090, output_fired_time: 0.0000000000, propagate_forward_time: 43.4314994812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5258483887
validation[          , genome  5421] predictions:    5597/  10000 (55.97%), best:    5559/10000 (55.59%), error:     13446.09863, best error:     13441.02344 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 701.4710693359s, input_fired_time: 5.9131932259, output_fired_time: 4.4027152061, propagate_forward_time: 223.7574157715, propagate_backward_time: 458.7669372559, weight_update_time: 0.5139194131, other_time: 8.6307983398
epoch time: 46.9527626038s, input_fired_time: 0.6987197995, output_fired_time: 0.0000000000, propagate_forward_time: 44.6583328247, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5957107544
validation[          , genome  5421] predictions:    5726/  10000 (57.26%), best:    5726/10000 (57.26%), error:     12819.66406, best error:     12819.66406 on epoch:    32, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 693.2751464844s, input_fired_time: 5.8396630287, output_fired_time: 4.3588733673, propagate_forward_time: 219.6656036377, propagate_backward_time: 454.8482360840, weight_update_time: 0.5117617249, other_time: 8.5627746582
epoch time: 45.5325355530s, input_fired_time: 0.6885725260, output_fired_time: 0.0000000000, propagate_forward_time: 43.2741394043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5698242188
validation[          , genome  5421] predictions:    5556/  10000 (55.56%), best:    5726/10000 (57.26%), error:     13709.71582, best error:     12819.66406 on epoch:    32, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 695.5178222656s, input_fired_time: 5.8776278496, output_fired_time: 4.3698096275, propagate_forward_time: 219.9671325684, propagate_backward_time: 456.8450927734, weight_update_time: 0.5111799836, other_time: 8.4581604004
epoch time: 47.9016952515s, input_fired_time: 0.7258418202, output_fired_time: 0.0000000000, propagate_forward_time: 45.5492210388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6266326904
validation[          , genome  5421] predictions:    5572/  10000 (55.72%), best:    5726/10000 (57.26%), error:     13592.80762, best error:     12819.66406 on epoch:    32, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 712.8148803711s, input_fired_time: 6.1260218620, output_fired_time: 4.5143885612, propagate_forward_time: 228.9017791748, propagate_backward_time: 464.2447204590, weight_update_time: 0.5289252996, other_time: 9.0279235840
epoch time: 49.7012863159s, input_fired_time: 0.7401102185, output_fired_time: 0.0000000000, propagate_forward_time: 47.2390327454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7221450806
validation[          , genome  5421] predictions:    5455/  10000 (54.55%), best:    5726/10000 (57.26%), error:     13788.17480, best error:     12819.66406 on epoch:    32, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 699.3339843750s, input_fired_time: 5.9186253548, output_fired_time: 4.4278750420, propagate_forward_time: 222.7647857666, propagate_backward_time: 457.7677001953, weight_update_time: 0.5204910040, other_time: 8.4550170898
epoch time: 45.5339126587s, input_fired_time: 0.6920569539, output_fired_time: 0.0000000000, propagate_forward_time: 43.3241500854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5177040100
validation[          , genome  5421] predictions:    5617/  10000 (56.17%), best:    5726/10000 (57.26%), error:     13313.08789, best error:     12819.66406 on epoch:    32, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 694.4535522461s, input_fired_time: 5.8960585594, output_fired_time: 4.3582286835, propagate_forward_time: 220.2156829834, propagate_backward_time: 455.6415100098, weight_update_time: 0.5155919790, other_time: 8.3420715332
epoch time: 45.3614959717s, input_fired_time: 0.6960029602, output_fired_time: 0.0000000000, propagate_forward_time: 43.1608695984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5046234131
validation[          , genome  5421] predictions:    5729/  10000 (57.29%), best:    5726/10000 (57.26%), error:     12887.31836, best error:     12819.66406 on epoch:    32, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 688.1817016602s, input_fired_time: 5.8450040817, output_fired_time: 4.3319244385, propagate_forward_time: 216.9983978271, propagate_backward_time: 452.7502136230, weight_update_time: 0.5104297400, other_time: 8.2561340332
epoch time: 48.2446212769s, input_fired_time: 0.7172549963, output_fired_time: 0.0000000000, propagate_forward_time: 45.9603004456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5670661926
validation[          , genome  5421] predictions:    5693/  10000 (56.93%), best:    5693/10000 (56.93%), error:     12689.89551, best error:     12689.89551 on epoch:    38, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 687.8820190430s, input_fired_time: 5.8743515015, output_fired_time: 4.3406248093, propagate_forward_time: 216.5445556641, propagate_backward_time: 452.6310424805, weight_update_time: 0.5145493150, other_time: 8.4914550781
epoch time: 45.5906295776s, input_fired_time: 0.6998064518, output_fired_time: 0.0000000000, propagate_forward_time: 43.3050231934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5858001709
validation[          , genome  5421] predictions:    5681/  10000 (56.81%), best:    5693/10000 (56.93%), error:     12940.24023, best error:     12689.89551 on epoch:    38, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 697.9224243164s, input_fired_time: 5.9356083870, output_fired_time: 4.4026880264, propagate_forward_time: 222.2931671143, propagate_backward_time: 456.5790100098, weight_update_time: 0.5192323327, other_time: 8.7119445801
epoch time: 47.0721588135s, input_fired_time: 0.7114180326, output_fired_time: 0.0000000000, propagate_forward_time: 44.7503662109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6103744507
validation[          , genome  5421] predictions:    5790/  10000 (57.90%), best:    5790/10000 (57.90%), error:     12678.08984, best error:     12678.08984 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 706.7153930664s, input_fired_time: 6.0196499825, output_fired_time: 4.5431542397, propagate_forward_time: 227.5517730713, propagate_backward_time: 459.9192199707, weight_update_time: 0.5524514914, other_time: 8.6816101074
epoch time: 45.8527259827s, input_fired_time: 0.7010574937, output_fired_time: 0.0000000000, propagate_forward_time: 43.6382331848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5134353638
validation[          , genome  5421] predictions:    5641/  10000 (56.41%), best:    5790/10000 (57.90%), error:     13505.95313, best error:     12678.08984 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 690.9854125977s, input_fired_time: 5.8951482773, output_fired_time: 4.3230457306, propagate_forward_time: 218.3834228516, propagate_backward_time: 454.0521240234, weight_update_time: 0.5122067332, other_time: 8.3316650391
epoch time: 44.0036964417s, input_fired_time: 0.6931576133, output_fired_time: 0.0000000000, propagate_forward_time: 41.7966384888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5139007568
validation[          , genome  5421] predictions:    5665/  10000 (56.65%), best:    5790/10000 (57.90%), error:     13284.74902, best error:     12678.08984 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 685.5728759766s, input_fired_time: 5.8920278549, output_fired_time: 4.3076777458, propagate_forward_time: 214.8448028564, propagate_backward_time: 452.0715637207, weight_update_time: 0.5152852535, other_time: 8.4568176270
epoch time: 48.3942222595s, input_fired_time: 0.7277141809, output_fired_time: 0.0000000000, propagate_forward_time: 46.0258445740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6406631470
validation[          , genome  5421] predictions:    5719/  10000 (57.19%), best:    5790/10000 (57.90%), error:     12967.94727, best error:     12678.08984 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 698.2737426758s, input_fired_time: 5.9698400497, output_fired_time: 4.4049358368, propagate_forward_time: 220.8052825928, propagate_backward_time: 458.4940185547, weight_update_time: 0.5189712644, other_time: 8.5996704102
epoch time: 44.5114593506s, input_fired_time: 0.6949179173, output_fired_time: 0.0000000000, propagate_forward_time: 42.3080482483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5084915161
validation[          , genome  5421] predictions:    5806/  10000 (58.06%), best:    5790/10000 (57.90%), error:     12682.68750, best error:     12678.08984 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 709.5394897461s, input_fired_time: 6.0869512558, output_fired_time: 4.4751806259, propagate_forward_time: 227.0392608643, propagate_backward_time: 463.2922973633, weight_update_time: 0.5326238871, other_time: 8.6458129883
epoch time: 61.7257690430s, input_fired_time: 0.9146499038, output_fired_time: 0.0000000000, propagate_forward_time: 58.6981506348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1129684448
validation[          , genome  5421] predictions:    5655/  10000 (56.55%), best:    5790/10000 (57.90%), error:     13012.55664, best error:     12678.08984 on epoch:    40, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 965.0528564453s, input_fired_time: 8.4338436127, output_fired_time: 5.8747806549, propagate_forward_time: 333.4636840820, propagate_backward_time: 605.3516845703, weight_update_time: 0.6525837183, other_time: 11.9288940430
epoch time: 49.3261108398s, input_fired_time: 0.7664228678, output_fired_time: 0.0000000000, propagate_forward_time: 46.8257789612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7339096069
validation[          , genome  5421] predictions:    5768/  10000 (57.68%), best:    5790/10000 (57.90%), error:     12718.77539, best error:     12678.08984 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 732.2232055664s, input_fired_time: 6.3443694115, output_fired_time: 4.7003030777, propagate_forward_time: 239.0804290771, propagate_backward_time: 472.5692138672, weight_update_time: 0.5497872233, other_time: 9.5288696289
epoch time: 49.5161361694s, input_fired_time: 0.7657622099, output_fired_time: 0.0000000000, propagate_forward_time: 47.1051330566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6452407837
validation[          , genome  5421] predictions:    5856/  10000 (58.56%), best:    5856/10000 (58.56%), error:     12309.48926, best error:     12309.48926 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1540823703_183_5421.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_183_5421_2_r460633986_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 47
read number_validation_images: 10000
read best_validation_predictions: 5856
read best_validation_error: 12309.5
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: 5421
read normal distribution: '0 0.361284106969833 -0.272108823060989'
generator_str: '1403110073'
read generator: 1403110073
read generated_by_map:
1 add_edge 1
reading 57 nodes.
reading 228 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: 669.594665527344s, input_fired_time: 5.81322193145752, output_fired_time: 4.20844411849976, propagate_forward_time: 205.818878173828, propagate_backward_time: 445.548583984375, weight_update_time: 0.507221341133118, other_time: 8.20553588867188
epoch time: 43.287899017334s, input_fired_time: 0.692623794078827, output_fired_time: 0, propagate_forward_time: 41.0780143737793, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.51726150512695
validation[          , genome  5421] predictions:    5745/  10000 (57.45%), best:    5856/10000 (58.56%), error:     12722.90918, best error:     12309.48926 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 668.9013061523s, input_fired_time: 5.8126516342, output_fired_time: 4.1980657578, propagate_forward_time: 205.3070983887, propagate_backward_time: 445.3713378906, weight_update_time: 0.5052074194, other_time: 8.2121887207
epoch time: 43.3102073669s, input_fired_time: 0.6922785044, output_fired_time: 0.0000000000, propagate_forward_time: 41.0956573486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5222702026
validation[          , genome  5421] predictions:    5835/  10000 (58.35%), best:    5856/10000 (58.56%), error:     12534.63672, best error:     12309.48926 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 669.2288818359s, input_fired_time: 5.8194084167, output_fired_time: 4.1997165680, propagate_forward_time: 205.3042297363, propagate_backward_time: 445.7085266113, weight_update_time: 0.5064245462, other_time: 8.1970214844
epoch time: 43.0993804932s, input_fired_time: 0.6941527724, output_fired_time: 0.0000000000, propagate_forward_time: 40.8810043335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5242233276
validation[          , genome  5421] predictions:    5871/  10000 (58.71%), best:    5871/10000 (58.71%), error:     12291.15527, best error:     12291.15527 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 668.3733520508s, input_fired_time: 5.8260345459, output_fired_time: 4.2110729218, propagate_forward_time: 204.7564544678, propagate_backward_time: 445.3635253906, weight_update_time: 0.5091186762, other_time: 8.2162475586
epoch time: 43.5160369873s, input_fired_time: 0.6995454431, output_fired_time: 0.0000000000, propagate_forward_time: 41.2905693054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5259208679
validation[          , genome  5421] predictions:    5939/  10000 (59.39%), best:    5939/10000 (59.39%), error:     12230.48535, best error:     12230.48535 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 668.4694824219s, input_fired_time: 5.8297719955, output_fired_time: 4.1941719055, propagate_forward_time: 204.9099578857, propagate_backward_time: 445.3556823730, weight_update_time: 0.5111036301, other_time: 8.1799011230
epoch time: 43.1859817505s, input_fired_time: 0.6929038167, output_fired_time: 0.0000000000, propagate_forward_time: 40.9925270081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5005493164
validation[          , genome  5421] predictions:    5767/  10000 (57.67%), best:    5939/10000 (59.39%), error:     12859.52441, best error:     12230.48535 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 669.4019165039s, input_fired_time: 5.8407196999, output_fired_time: 4.1983394623, propagate_forward_time: 205.6585235596, propagate_backward_time: 445.5739440918, weight_update_time: 0.5107598305, other_time: 8.1304016113
epoch time: 43.2294158936s, input_fired_time: 0.7026873827, output_fired_time: 0.0000000000, propagate_forward_time: 41.0361709595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4905586243
validation[          , genome  5421] predictions:    5764/  10000 (57.64%), best:    5939/10000 (59.39%), error:     12758.28027, best error:     12230.48535 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 669.0498657227s, input_fired_time: 5.8371448517, output_fired_time: 4.2019052505, propagate_forward_time: 205.3160858154, propagate_backward_time: 445.6787719727, weight_update_time: 0.5106625557, other_time: 8.0159301758
epoch time: 43.2775039673s, input_fired_time: 0.7009855509, output_fired_time: 0.0000000000, propagate_forward_time: 41.0968322754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4796867371
validation[          , genome  5421] predictions:    5827/  10000 (58.27%), best:    5939/10000 (59.39%), error:     12585.34668, best error:     12230.48535 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 668.6673583984s, input_fired_time: 5.8475737572, output_fired_time: 4.1922454834, propagate_forward_time: 204.8585815430, propagate_backward_time: 445.7247619629, weight_update_time: 0.5141028166, other_time: 8.0441589355
epoch time: 43.0507545471s, input_fired_time: 0.6964567304, output_fired_time: 0.0000000000, propagate_forward_time: 40.8831863403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4711112976
validation[          , genome  5421] predictions:    5879/  10000 (58.79%), best:    5939/10000 (59.39%), error:     12356.00293, best error:     12230.48535 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 668.7255859375s, input_fired_time: 5.8568034172, output_fired_time: 4.1896328926, propagate_forward_time: 205.0502014160, propagate_backward_time: 445.6801757813, weight_update_time: 0.5171883702, other_time: 7.9487609863
epoch time: 43.3921966553s, input_fired_time: 0.7031778097, output_fired_time: 0.0000000000, propagate_forward_time: 41.2224884033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4665298462
validation[          , genome  5421] predictions:    5879/  10000 (58.79%), best:    5939/10000 (59.39%), error:     12454.20508, best error:     12230.48535 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 683.3206176758s, input_fired_time: 5.9592614174, output_fired_time: 4.2827334404, propagate_forward_time: 213.6216430664, propagate_backward_time: 451.3324279785, weight_update_time: 0.5264811516, other_time: 8.1245422363
epoch time: 43.7157974243s, input_fired_time: 0.7050430179, output_fired_time: 0.0000000000, propagate_forward_time: 41.5438728333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4668807983
validation[          , genome  5421] predictions:    5893/  10000 (58.93%), best:    5939/10000 (59.39%), error:     12287.31738, best error:     12230.48535 on epoch:    51, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 672.2794799805s, input_fired_time: 5.8812198639, output_fired_time: 4.2189550400, propagate_forward_time: 207.0968017578, propagate_backward_time: 447.0915832520, weight_update_time: 0.5218446851, other_time: 7.9909362793
epoch time: 43.6620330811s, input_fired_time: 0.7047675252, output_fired_time: 0.0000000000, propagate_forward_time: 41.4991722107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4580917358
validation[          , genome  5421] predictions:    5864/  10000 (58.64%), best:    5939/10000 (59.39%), error:     12502.82227, best error:     12230.48535 on epoch:    51, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 708.0733642578s, input_fired_time: 6.1975712776, output_fired_time: 4.4827680588, propagate_forward_time: 224.6224365234, propagate_backward_time: 463.7598266602, weight_update_time: 0.5471034050, other_time: 9.0107421875
epoch time: 48.3811225891s, input_fired_time: 0.7536472082, output_fired_time: 0.0000000000, propagate_forward_time: 46.0148315430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6126441956
validation[          , genome  5421] predictions:    5964/  10000 (59.64%), best:    5964/10000 (59.64%), error:     12210.24023, best error:     12210.24023 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 699.4219360352s, input_fired_time: 6.1064310074, output_fired_time: 4.4041433334, propagate_forward_time: 221.5803222656, propagate_backward_time: 458.7192382813, weight_update_time: 0.5618623495, other_time: 8.6118164063
epoch time: 44.3731918335s, input_fired_time: 0.7123258710, output_fired_time: 0.0000000000, propagate_forward_time: 42.1877784729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4730873108
validation[          , genome  5421] predictions:    5848/  10000 (58.48%), best:    5964/10000 (59.64%), error:     12643.55469, best error:     12210.24023 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 682.5647583008s, input_fired_time: 5.9696960449, output_fired_time: 4.2774538994, propagate_forward_time: 212.7459259033, propagate_backward_time: 451.4041137695, weight_update_time: 0.5320042968, other_time: 8.1676025391
epoch time: 47.9399299622s, input_fired_time: 0.7511736155, output_fired_time: 0.0000000000, propagate_forward_time: 45.5303421021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6584129333
validation[          , genome  5421] predictions:    5879/  10000 (58.79%), best:    5964/10000 (59.64%), error:     12399.29492, best error:     12210.24023 on epoch:    59, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 698.1146850586s, input_fired_time: 6.1216230392, output_fired_time: 4.4157791138, propagate_forward_time: 221.3580780029, propagate_backward_time: 457.4972839355, weight_update_time: 0.5467779040, other_time: 8.7218933105
epoch time: 46.6675376892s, input_fired_time: 0.7473040223, output_fired_time: 0.0000000000, propagate_forward_time: 44.3370819092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5831527710
validation[          , genome  5421] predictions:    5900/  10000 (59.00%), best:    5964/10000 (59.64%), error:     12348.84766, best error:     12210.24023 on epoch:    59, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 696.5269775391s, input_fired_time: 6.1234312057, output_fired_time: 4.3840613365, propagate_forward_time: 220.3939971924, propagate_backward_time: 457.2238464355, weight_update_time: 0.5446363688, other_time: 8.4017028809
epoch time: 44.1367454529s, input_fired_time: 0.7118288875, output_fired_time: 0.0000000000, propagate_forward_time: 41.9526481628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4722671509
validation[          , genome  5421] predictions:    5829/  10000 (58.29%), best:    5964/10000 (59.64%), error:     12672.41797, best error:     12210.24023 on epoch:    59, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 689.3508911133s, input_fired_time: 6.0205969810, output_fired_time: 4.3303232193, propagate_forward_time: 216.2623748779, propagate_backward_time: 454.5131530762, weight_update_time: 0.5446715951, other_time: 8.2244567871
epoch time: 44.8417587280s, input_fired_time: 0.7229484916, output_fired_time: 0.0000000000, propagate_forward_time: 42.6312408447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4875679016
validation[          , genome  5421] predictions:    5960/  10000 (59.60%), best:    5960/10000 (59.60%), error:     12089.81152, best error:     12089.81152 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 678.5427856445s, input_fired_time: 5.9618973732, output_fired_time: 4.2516298294, propagate_forward_time: 210.4280242920, propagate_backward_time: 449.7822265625, weight_update_time: 0.5405584574, other_time: 8.1189575195
epoch time: 42.5245132446s, input_fired_time: 0.7014832497, output_fired_time: 0.0000000000, propagate_forward_time: 40.3746566772, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4483718872
validation[          , genome  5421] predictions:    5935/  10000 (59.35%), best:    5960/10000 (59.60%), error:     12344.91992, best error:     12089.81152 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 682.9700927734s, input_fired_time: 5.9995841980, output_fired_time: 4.2915968895, propagate_forward_time: 212.6325225830, propagate_backward_time: 451.8981933594, weight_update_time: 0.5429214239, other_time: 8.1481933594
epoch time: 48.3846359253s, input_fired_time: 0.7589681745, output_fired_time: 0.0000000000, propagate_forward_time: 46.0127220154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6129455566
validation[          , genome  5421] predictions:    5930/  10000 (59.30%), best:    5960/10000 (59.60%), error:     12392.29004, best error:     12089.81152 on epoch:    64, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 692.3251342773s, input_fired_time: 6.0592770576, output_fired_time: 4.3689770699, propagate_forward_time: 217.5762939453, propagate_backward_time: 455.7278442383, weight_update_time: 0.5664732456, other_time: 8.5927734375
epoch time: 43.7584304810s, input_fired_time: 0.7103169560, output_fired_time: 0.0000000000, propagate_forward_time: 41.5203552246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5277595520
validation[          , genome  5421] predictions:    5930/  10000 (59.30%), best:    5960/10000 (59.60%), error:     12333.77734, best error:     12089.81152 on epoch:    64, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 674.1350708008s, input_fired_time: 5.9470953941, output_fired_time: 4.2412519455, propagate_forward_time: 207.1001434326, propagate_backward_time: 448.5348510742, weight_update_time: 0.5495247841, other_time: 8.3117065430
epoch time: 43.6273155212s, input_fired_time: 0.7211055756, output_fired_time: 0.0000000000, propagate_forward_time: 41.3921203613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5140914917
validation[          , genome  5421] predictions:    5910/  10000 (59.10%), best:    5960/10000 (59.60%), error:     12346.77637, best error:     12089.81152 on epoch:    64, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 678.9745483398s, input_fired_time: 5.9801406860, output_fired_time: 4.2596321106, propagate_forward_time: 210.5372314453, propagate_backward_time: 449.8623352051, weight_update_time: 0.5516229868, other_time: 8.3351745605
epoch time: 43.2713241577s, input_fired_time: 0.7183495760, output_fired_time: 0.0000000000, propagate_forward_time: 41.0571365356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4958381653
validation[          , genome  5421] predictions:    5916/  10000 (59.16%), best:    5960/10000 (59.60%), error:     12302.41504, best error:     12089.81152 on epoch:    64, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 697.5423583984s, input_fired_time: 6.1946229935, output_fired_time: 4.3803920746, propagate_forward_time: 220.9902648926, propagate_backward_time: 457.3992919922, weight_update_time: 0.5682783723, other_time: 8.5777893066
epoch time: 45.8450622559s, input_fired_time: 0.7404752374, output_fired_time: 0.0000000000, propagate_forward_time: 43.5989685059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5056190491
validation[          , genome  5421] predictions:    5934/  10000 (59.34%), best:    5960/10000 (59.60%), error:     12244.03516, best error:     12089.81152 on epoch:    64, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 682.3746337891s, input_fired_time: 6.0698370934, output_fired_time: 4.2691993713, propagate_forward_time: 212.8520050049, propagate_backward_time: 451.0154113770, weight_update_time: 0.5609353185, other_time: 8.1681823730
epoch time: 43.4494819641s, input_fired_time: 0.7172948718, output_fired_time: 0.0000000000, propagate_forward_time: 41.2706451416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4615402222
validation[          , genome  5421] predictions:    6003/  10000 (60.03%), best:    5960/10000 (59.60%), error:     12146.41992, best error:     12089.81152 on epoch:    64, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 671.5013427734s, input_fired_time: 5.9512600899, output_fired_time: 4.2113604546, propagate_forward_time: 206.3820343018, propagate_backward_time: 446.9322509766, weight_update_time: 0.5601409674, other_time: 8.0244750977
epoch time: 43.1465682983s, input_fired_time: 0.7158747911, output_fired_time: 0.0000000000, propagate_forward_time: 40.9685935974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4621009827
validation[          , genome  5421] predictions:    5935/  10000 (59.35%), best:    5960/10000 (59.60%), error:     12249.39648, best error:     12089.81152 on epoch:    64, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 671.7153320313s, input_fired_time: 5.9530034065, output_fired_time: 4.2056741714, propagate_forward_time: 206.2245941162, propagate_backward_time: 447.3298339844, weight_update_time: 0.5649650693, other_time: 8.0021972656
epoch time: 43.4780311584s, input_fired_time: 0.7206075788, output_fired_time: 0.0000000000, propagate_forward_time: 41.2954101563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4620132446
validation[          , genome  5421] predictions:    5909/  10000 (59.09%), best:    5960/10000 (59.60%), error:     12328.29395, best error:     12089.81152 on epoch:    64, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 673.6475219727s, input_fired_time: 5.9684166908, output_fired_time: 4.2221107483, propagate_forward_time: 207.4674987793, propagate_backward_time: 447.9710083008, weight_update_time: 0.5677129030, other_time: 8.0184631348
epoch time: 43.0402984619s, input_fired_time: 0.7161177397, output_fired_time: 0.0000000000, propagate_forward_time: 40.8639755249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4602050781
validation[          , genome  5421] predictions:    6006/  10000 (60.06%), best:    5960/10000 (59.60%), error:     12151.05664, best error:     12089.81152 on epoch:    64, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 671.1909179688s, input_fired_time: 5.9648222923, output_fired_time: 4.2003202438, propagate_forward_time: 205.9072418213, propagate_backward_time: 447.0458068848, weight_update_time: 0.5752941966, other_time: 8.0727233887
epoch time: 44.0444259644s, input_fired_time: 0.7283594012, output_fired_time: 0.0000000000, propagate_forward_time: 41.8246307373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4914360046
validation[          , genome  5421] predictions:    5898/  10000 (58.98%), best:    5960/10000 (59.60%), error:     12357.69238, best error:     12089.81152 on epoch:    64, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 672.6687011719s, input_fired_time: 5.9719667435, output_fired_time: 4.2156119347, propagate_forward_time: 206.5137481689, propagate_backward_time: 447.7430419922, weight_update_time: 0.5783644319, other_time: 8.2243041992
epoch time: 43.2988700867s, input_fired_time: 0.7201097608, output_fired_time: 0.0000000000, propagate_forward_time: 41.0586662292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5200958252
validation[          , genome  5421] predictions:    6053/  10000 (60.53%), best:    6053/10000 (60.53%), error:     11910.33984, best error:     11910.33984 on epoch:    76, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 673.3052978516s, input_fired_time: 5.9865813255, output_fired_time: 4.2187595367, propagate_forward_time: 207.1411132813, propagate_backward_time: 447.6402893066, weight_update_time: 0.5833071470, other_time: 8.3185729980
epoch time: 43.4696426392s, input_fired_time: 0.7239392996, output_fired_time: 0.0000000000, propagate_forward_time: 41.2142219543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5314826965
validation[          , genome  5421] predictions:    6077/  10000 (60.77%), best:    6053/10000 (60.53%), error:     11913.81152, best error:     11910.33984 on epoch:    76, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 676.9953002930s, input_fired_time: 6.0154447556, output_fired_time: 4.2550101280, propagate_forward_time: 208.8748931885, propagate_backward_time: 449.4544982910, weight_update_time: 0.5945386291, other_time: 8.3954772949
epoch time: 59.8466339111s, input_fired_time: 0.9747455716, output_fired_time: 0.0000000000, propagate_forward_time: 56.7431030273, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1287841797
validation[          , genome  5421] predictions:    6035/  10000 (60.35%), best:    6053/10000 (60.53%), error:     11940.11230, best error:     11910.33984 on epoch:    76, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

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_1540823703_183_5421.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_183_5421_2_r460633986_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: 0.981482
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000217307
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.69229e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 79
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 76
read number_validation_images: 10000
read best_validation_predictions: 6053
read best_validation_error: 11910.3
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: 5421
read normal distribution: '0 0.361284106969833 -0.272108823060989'
generator_str: '1544593554'
read generator: 1544593554
read generated_by_map:
1 add_edge 1
reading 57 nodes.
reading 228 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: 658.278076171875s, input_fired_time: 5.90483283996582, output_fired_time: 4.12718105316162, propagate_forward_time: 198.113357543945, propagate_backward_time: 442.183746337891, weight_update_time: 0.588506698608398, other_time: 7.94894409179688
epoch time: 41.5537376403809s, input_fired_time: 0.71194851398468, output_fired_time: 0, propagate_forward_time: 39.3891906738281, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.45259857177734
validation[          , genome  5421] predictions:    6097/  10000 (60.97%), best:    6097/10000 (60.97%), error:     11842.53223, best error:     11842.53223 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 656.4569702148s, input_fired_time: 5.8994889259, output_fired_time: 4.1178078651, propagate_forward_time: 196.9909057617, propagate_backward_time: 441.5313110352, weight_update_time: 0.5910687447, other_time: 7.9174804688
epoch time: 41.5366668701s, input_fired_time: 0.7100556493, output_fired_time: 0.0000000000, propagate_forward_time: 39.3651771545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4614334106
validation[          , genome  5421] predictions:    6084/  10000 (60.84%), best:    6097/10000 (60.97%), error:     11962.22559, best error:     11842.53223 on epoch:    79, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 656.6472167969s, input_fired_time: 5.9027438164, output_fired_time: 4.1230883598, propagate_forward_time: 196.9490509033, propagate_backward_time: 441.6508789063, weight_update_time: 0.5983324051, other_time: 8.0214233398
epoch time: 41.6849937439s, input_fired_time: 0.7166910172, output_fired_time: 0.0000000000, propagate_forward_time: 39.4816322327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4866714478
validation[          , genome  5421] predictions:    6092/  10000 (60.92%), best:    6092/10000 (60.92%), error:     11841.54688, best error:     11841.54688 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 656.8292846680s, input_fired_time: 5.9063539505, output_fired_time: 4.1211366653, propagate_forward_time: 196.9279937744, propagate_backward_time: 441.7625427246, weight_update_time: 0.6061356664, other_time: 8.1112365723
epoch time: 41.5596046448s, input_fired_time: 0.7121822238, output_fired_time: 0.0000000000, propagate_forward_time: 39.3611793518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4862442017
validation[          , genome  5421] predictions:    6112/  10000 (61.12%), best:    6112/10000 (61.12%), error:     11758.00781, best error:     11758.00781 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 656.7000732422s, input_fired_time: 5.9067797661, output_fired_time: 4.1198554039, propagate_forward_time: 196.9579010010, propagate_backward_time: 441.5894470215, weight_update_time: 0.6123247147, other_time: 8.1260681152
epoch time: 41.5767936707s, input_fired_time: 0.7136945724, output_fired_time: 0.0000000000, propagate_forward_time: 39.3756790161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4874191284
validation[          , genome  5421] predictions:    6021/  10000 (60.21%), best:    6112/10000 (61.12%), error:     11928.70313, best error:     11758.00781 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 656.8205566406s, input_fired_time: 5.9156923294, output_fired_time: 4.1244506836, propagate_forward_time: 196.9649963379, propagate_backward_time: 441.6621398926, weight_update_time: 0.6201234460, other_time: 8.1532592773
epoch time: 41.7007064819s, input_fired_time: 0.7156565189, output_fired_time: 0.0000000000, propagate_forward_time: 39.4983139038, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4867362976
validation[          , genome  5421] predictions:    5970/  10000 (59.70%), best:    6112/10000 (61.12%), error:     12094.99121, best error:     11758.00781 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 656.5381469727s, input_fired_time: 5.9144315720, output_fired_time: 4.1196165085, propagate_forward_time: 196.8740386963, propagate_backward_time: 441.4844055176, weight_update_time: 0.6257156134, other_time: 8.1456604004
epoch time: 41.4039154053s, input_fired_time: 0.7104562521, output_fired_time: 0.0000000000, propagate_forward_time: 39.2091636658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4842948914
validation[          , genome  5421] predictions:    6031/  10000 (60.31%), best:    6112/10000 (61.12%), error:     11932.80957, best error:     11758.00781 on epoch:    82, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 656.8439941406s, input_fired_time: 5.9152383804, output_fired_time: 4.1180458069, propagate_forward_time: 196.8969573975, propagate_backward_time: 441.7789916992, weight_update_time: 0.6342447996, other_time: 8.1347656250
epoch time: 41.6337318420s, input_fired_time: 0.7183670998, output_fired_time: 0.0000000000, propagate_forward_time: 39.4253730774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4899902344
validation[          , genome  5421] predictions:    6077/  10000 (60.77%), best:    6112/10000 (61.12%), error:     11819.97070, best error:     11758.00781 on epoch:    82, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 656.6683959961s, input_fired_time: 5.9180288315, output_fired_time: 4.1154756546, propagate_forward_time: 196.8863372803, propagate_backward_time: 441.5935058594, weight_update_time: 0.6442499161, other_time: 8.1550292969
epoch time: 41.6164360046s, input_fired_time: 0.7171491385, output_fired_time: 0.0000000000, propagate_forward_time: 39.4188232422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4804649353
validation[          , genome  5421] predictions:    6103/  10000 (61.03%), best:    6112/10000 (61.12%), error:     11832.03027, best error:     11758.00781 on epoch:    82, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 657.0694580078s, input_fired_time: 5.9274692535, output_fired_time: 4.1191492081, propagate_forward_time: 196.9849090576, propagate_backward_time: 441.8721008301, weight_update_time: 0.6524606347, other_time: 8.1658020020
epoch time: 41.5145263672s, input_fired_time: 0.7153622508, output_fired_time: 0.0000000000, propagate_forward_time: 39.3133964539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4857673645
validation[          , genome  5421] predictions:    6083/  10000 (60.83%), best:    6112/10000 (61.12%), error:     11843.90625, best error:     11758.00781 on epoch:    82, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 656.2775878906s, input_fired_time: 5.9200019836, output_fired_time: 4.1161880493, propagate_forward_time: 196.6659851074, propagate_backward_time: 441.4483947754, weight_update_time: 0.6604301333, other_time: 8.1270141602
epoch time: 41.5371131897s, input_fired_time: 0.7177879810, output_fired_time: 0.0000000000, propagate_forward_time: 39.3445549011, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4747695923
validation[          , genome  5421] predictions:    6095/  10000 (60.95%), best:    6112/10000 (61.12%), error:     11821.18262, best error:     11758.00781 on epoch:    82, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 657.2221679688s, input_fired_time: 5.9284114838, output_fired_time: 4.1228203773, propagate_forward_time: 196.9819030762, propagate_backward_time: 442.0537719727, weight_update_time: 0.6726024151, other_time: 8.1352844238
epoch time: 41.6656875610s, input_fired_time: 0.7167322040, output_fired_time: 0.0000000000, propagate_forward_time: 39.4764289856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4725265503
validation[          , genome  5421] predictions:    6082/  10000 (60.82%), best:    6112/10000 (61.12%), error:     11871.85449, best error:     11758.00781 on epoch:    82, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 657.3036499023s, input_fired_time: 5.9337105751, output_fired_time: 4.1209626198, propagate_forward_time: 196.9820709229, propagate_backward_time: 442.1243591309, weight_update_time: 0.6851022243, other_time: 8.1425476074
epoch time: 41.6175575256s, input_fired_time: 0.7160592079, output_fired_time: 0.0000000000, propagate_forward_time: 39.4335670471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4679298401
validation[          , genome  5421] predictions:    6013/  10000 (60.13%), best:    6112/10000 (61.12%), error:     11949.61230, best error:     11758.00781 on epoch:    82, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 656.6137695313s, input_fired_time: 5.9286270142, output_fired_time: 4.1155056953, propagate_forward_time: 196.7743377686, propagate_backward_time: 441.7072753906, weight_update_time: 0.6940224767, other_time: 8.0880126953
epoch time: 41.5125045776s, input_fired_time: 0.7159547806, output_fired_time: 0.0000000000, propagate_forward_time: 39.3472290039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4493217468
validation[          , genome  5421] predictions:    6060/  10000 (60.60%), best:    6112/10000 (61.12%), error:     11912.83301, best error:     11758.00781 on epoch:    82, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 656.6190185547s, input_fired_time: 5.9288592339, output_fired_time: 4.1144514084, propagate_forward_time: 196.8423309326, propagate_backward_time: 441.7042236328, weight_update_time: 0.7047691941, other_time: 8.0291748047
epoch time: 41.5521354675s, input_fired_time: 0.7156371474, output_fired_time: 0.0000000000, propagate_forward_time: 39.3843116760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4521865845
validation[          , genome  5421] predictions:    6135/  10000 (61.35%), best:    6112/10000 (61.12%), error:     11838.44531, best error:     11758.00781 on epoch:    82, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 656.6808471680s, input_fired_time: 5.9339799881, output_fired_time: 4.1152157784, propagate_forward_time: 196.7857818604, propagate_backward_time: 441.8098144531, weight_update_time: 0.7181065083, other_time: 8.0360717773
epoch time: 41.5182533264s, input_fired_time: 0.7186497450, output_fired_time: 0.0000000000, propagate_forward_time: 39.3606567383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4389457703
validation[          , genome  5421] predictions:    6104/  10000 (61.04%), best:    6112/10000 (61.12%), error:     11791.96973, best error:     11758.00781 on epoch:    82, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 656.6027832031s, input_fired_time: 5.9371261597, output_fired_time: 4.1124835014, propagate_forward_time: 196.8366851807, propagate_backward_time: 441.6872253418, weight_update_time: 0.7300714254, other_time: 8.0292663574
epoch time: 41.5802307129s, input_fired_time: 0.7175871134, output_fired_time: 0.0000000000, propagate_forward_time: 39.4202041626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4424400330
validation[          , genome  5421] predictions:    6081/  10000 (60.81%), best:    6112/10000 (61.12%), error:     11823.98633, best error:     11758.00781 on epoch:    82, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 657.2462768555s, input_fired_time: 5.9373617172, output_fired_time: 4.1169633865, propagate_forward_time: 197.2316741943, propagate_backward_time: 441.9812622070, weight_update_time: 0.7427884936, other_time: 7.9790039063
epoch time: 41.5739517212s, input_fired_time: 0.7188043594, output_fired_time: 0.0000000000, propagate_forward_time: 39.4123535156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4427947998
validation[          , genome  5421] predictions:    6085/  10000 (60.85%), best:    6112/10000 (61.12%), error:     11802.81055, best error:     11758.00781 on epoch:    82, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 656.8427124023s, input_fired_time: 5.9403557777, output_fired_time: 4.1175394058, propagate_forward_time: 196.9499359131, propagate_backward_time: 441.8203125000, weight_update_time: 0.7551598549, other_time: 8.0145263672
epoch time: 41.5790786743s, input_fired_time: 0.7206126451, output_fired_time: 0.0000000000, propagate_forward_time: 39.4219360352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4365310669
validation[          , genome  5421] predictions:    6109/  10000 (61.09%), best:    6109/10000 (61.09%), error:     11726.10938, best error:     11726.10938 on epoch:    97, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 656.8156738281s, input_fired_time: 5.9402570724, output_fired_time: 4.1116857529, propagate_forward_time: 196.9517822266, propagate_backward_time: 441.8131713867, weight_update_time: 0.7655851245, other_time: 7.9987792969
epoch time: 41.4238357544s, input_fired_time: 0.7179375291, output_fired_time: 0.0000000000, propagate_forward_time: 39.2800369263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4258613586
validation[          , genome  5421] predictions:    6075/  10000 (60.75%), best:    6109/10000 (61.09%), error:     11836.52637, best error:     11726.10938 on epoch:    97, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 657.2145385742s, input_fired_time: 5.9466042519, output_fired_time: 4.1148829460, propagate_forward_time: 197.0530853271, propagate_backward_time: 442.1042175293, weight_update_time: 0.7813512087, other_time: 7.9957580566
epoch time: 41.5943450928s, input_fired_time: 0.7212186456, output_fired_time: 0.0000000000, propagate_forward_time: 39.4482536316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4248733521
validation[          , genome  5421] predictions:    6078/  10000 (60.78%), best:    6109/10000 (61.09%), error:     11988.49805, best error:     11726.10938 on epoch:    97, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 657.3733520508s, input_fired_time: 5.9486241341, output_fired_time: 4.1165494919, propagate_forward_time: 197.1007843018, propagate_backward_time: 442.1907958984, weight_update_time: 0.7985861301, other_time: 8.0166015625
epoch time: 41.5894699097s, input_fired_time: 0.7225283384, output_fired_time: 0.0000000000, propagate_forward_time: 39.4375190735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4294242859
validation[          , genome  5421] predictions:    6102/  10000 (61.02%), best:    6102/10000 (61.02%), error:     11713.95410, best error:     11713.95410 on epoch:   100, 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: 208.0247650146s, input_fired_time: 3.6095335484, output_fired_time: 0.0000000000, propagate_forward_time: 197.2117614746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2034759521
best training[          , genome  5421] predictions:   38898/  50000 (77.80%), best:    6102/10000 (61.02%), error:     33580.01172, best error:     11713.95410 on epoch:   100, 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: 41.5041618347s, input_fired_time: 0.7209228277, output_fired_time: 0.0000000000, propagate_forward_time: 39.3568687439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4263687134
   testing[          , genome  5421] predictions:    6102/  10000 (61.02%), best:    6102/10000 (61.02%), error:     11713.95410, best error:     11713.95410 on epoch:   100, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
03:19:18 (3048): called boinc_finish(0)

</stderr_txt>
]]>