Nameexact_genome_1533899704_161_10510_2
Workunit3906102
Created12 Aug 2018, 8:06:56 UTC
Sent12 Aug 2018, 9:37:39 UTC
Report deadline30 Oct 2018, 14:04:45 UTC
Received16 Aug 2018, 1:57:56 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID62313
Run time1 days 8 hours 34 min 31 sec
CPU time1 days 3 hours 24 min 11 sec
Validate stateInitial
Credit0.00
Device peak FLOPS4.57 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.41 MB
Peak swap size543.23 MB
Peak disk usage10.04 MB

Stderr output

<core_client_version>7.10.2</core_client_version>
<![CDATA[
<stderr_txt>
on[          , genome 10510] predictions:    5809/  10000 (58.09%), best:    6081/10000 (60.81%), error:     12770.95117, best error:     11899.87402 on epoch:    36, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1077.1968994141s, input_fired_time: 8.9412012100, output_fired_time: 8.4072580338, propagate_forward_time: 401.9827880859, propagate_backward_time: 647.2550659180, weight_update_time: 1.1420922279, other_time: 10.6106567383
epoch time: 87.8147125244s, input_fired_time: 1.1445732117, output_fired_time: 0.0000000000, propagate_forward_time: 84.8212509155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8488845825
validation[          , genome 10510] predictions:    5960/  10000 (59.60%), best:    6081/10000 (60.81%), error:     12424.29004, best error:     11899.87402 on epoch:    36, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 938.1557006836s, input_fired_time: 7.5622434616, output_fired_time: 7.0804429054, propagate_forward_time: 353.9158325195, propagate_backward_time: 560.8646240234, weight_update_time: 0.9644754529, other_time: 8.7325439453
epoch time: 87.7050094604s, input_fired_time: 1.1116834879, output_fired_time: 0.0000000000, propagate_forward_time: 84.7188415527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8744812012
validation[          , genome 10510] predictions:    6080/  10000 (60.80%), best:    6081/10000 (60.81%), error:     12163.02539, best error:     11899.87402 on epoch:    36, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1021.1690063477s, input_fired_time: 8.4106149673, output_fired_time: 7.5821661949, propagate_forward_time: 384.3959960938, propagate_backward_time: 611.0260009766, weight_update_time: 1.0888267756, other_time: 9.7542114258
epoch time: 74.8006057739s, input_fired_time: 0.9101241231, output_fired_time: 0.0000000000, propagate_forward_time: 72.2784729004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6120071411
validation[          , genome 10510] predictions:    5915/  10000 (59.15%), best:    6081/10000 (60.81%), error:     12573.24902, best error:     11899.87402 on epoch:    36, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1115.2424316406s, input_fired_time: 9.3686065674, output_fired_time: 8.5651397705, propagate_forward_time: 417.1682739258, propagate_backward_time: 669.4413452148, weight_update_time: 1.1340677738, other_time: 10.6989746094
epoch time: 72.7933807373s, input_fired_time: 0.9435617328, output_fired_time: 0.0000000000, propagate_forward_time: 70.2710647583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5787506104
validation[          , genome 10510] predictions:    6052/  10000 (60.52%), best:    6081/10000 (60.81%), error:     12028.14160, best error:     11899.87402 on epoch:    36, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1008.6789550781s, input_fired_time: 8.5596294403, output_fired_time: 7.4976577759, propagate_forward_time: 379.3283081055, propagate_backward_time: 603.6715698242, weight_update_time: 1.0101279020, other_time: 9.6217651367
epoch time: 85.5193176270s, input_fired_time: 1.1568894386, output_fired_time: 0.0000000000, propagate_forward_time: 82.5490341187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8133926392
validation[          , genome 10510] predictions:    5993/  10000 (59.93%), best:    6081/10000 (60.81%), error:     12155.67285, best error:     11899.87402 on epoch:    36, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1079.7738037109s, input_fired_time: 9.0303487778, output_fired_time: 8.0653772354, propagate_forward_time: 403.7798156738, propagate_backward_time: 648.7938842773, weight_update_time: 1.0175217390, other_time: 10.1043090820
epoch time: 80.5958175659s, input_fired_time: 0.9045231938, output_fired_time: 0.0000000000, propagate_forward_time: 77.8699874878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8213043213
validation[          , genome 10510] predictions:    6102/  10000 (61.02%), best:    6081/10000 (60.81%), error:     12071.60449, best error:     11899.87402 on epoch:    36, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1114.2165527344s, input_fired_time: 9.4234609604, output_fired_time: 8.5584983826, propagate_forward_time: 416.7583312988, propagate_backward_time: 668.6765136719, weight_update_time: 1.1078537703, other_time: 10.7998046875
epoch time: 83.1687393188s, input_fired_time: 1.1244813204, output_fired_time: 0.0000000000, propagate_forward_time: 80.4018402100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6424179077
validation[          , genome 10510] predictions:    6116/  10000 (61.16%), best:    6081/10000 (60.81%), error:     12158.70313, best error:     11899.87402 on epoch:    36, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 942.5615844727s, input_fired_time: 7.7146034241, output_fired_time: 7.1515092850, propagate_forward_time: 354.3700866699, propagate_backward_time: 564.2977294922, weight_update_time: 0.9356993437, other_time: 9.0277099609
epoch time: 86.7345428467s, input_fired_time: 1.0449798107, output_fired_time: 0.0000000000, propagate_forward_time: 83.8082122803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8813476563
validation[          , genome 10510] predictions:    6151/  10000 (61.51%), best:    6081/10000 (60.81%), error:     11910.74316, best error:     11899.87402 on epoch:    36, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1050.1618652344s, input_fired_time: 8.8128137589, output_fired_time: 7.8844547272, propagate_forward_time: 393.9487304688, propagate_backward_time: 629.8085327148, weight_update_time: 0.9932021499, other_time: 9.7073364258
epoch time: 87.0494613647s, input_fired_time: 1.0903886557, output_fired_time: 0.0000000000, propagate_forward_time: 84.0498657227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9092102051
validation[          , genome 10510] predictions:    6179/  10000 (61.79%), best:    6179/10000 (61.79%), error:     11644.92578, best error:     11644.92578 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1041.4234619141s, input_fired_time: 8.6164655685, output_fired_time: 8.0738267899, propagate_forward_time: 390.5754394531, propagate_backward_time: 624.1370239258, weight_update_time: 1.0925556421, other_time: 10.0206909180
epoch time: 87.5285568237s, input_fired_time: 1.1472297907, output_fired_time: 0.0000000000, propagate_forward_time: 84.4812698364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9000549316
validation[          , genome 10510] predictions:    6172/  10000 (61.72%), best:    6179/10000 (61.79%), error:     11879.43848, best error:     11644.92578 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1019.9360351563s, input_fired_time: 8.6326837540, output_fired_time: 7.7756400108, propagate_forward_time: 383.2155456543, propagate_backward_time: 610.6060180664, weight_update_time: 0.9423539042, other_time: 9.7061157227
epoch time: 88.2719573975s, input_fired_time: 1.1406518221, output_fired_time: 0.0000000000, propagate_forward_time: 85.3686141968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7626876831
validation[          , genome 10510] predictions:    6173/  10000 (61.73%), best:    6179/10000 (61.79%), error:     11721.08105, best error:     11644.92578 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1082.6367187500s, input_fired_time: 9.1257162094, output_fired_time: 8.2453956604, propagate_forward_time: 406.4007873535, propagate_backward_time: 648.2131958008, weight_update_time: 1.1861873865, other_time: 10.6516723633
epoch time: 72.1562652588s, input_fired_time: 0.9280743599, output_fired_time: 0.0000000000, propagate_forward_time: 69.7414932251, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4866943359
validation[          , genome 10510] predictions:    5930/  10000 (59.30%), best:    6179/10000 (61.79%), error:     12490.79590, best error:     11644.92578 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1042.0926513672s, input_fired_time: 8.6137170792, output_fired_time: 7.6929397583, propagate_forward_time: 392.0271911621, propagate_backward_time: 623.3666381836, weight_update_time: 1.1571846008, other_time: 10.3920288086
epoch time: 79.0436706543s, input_fired_time: 0.8822217584, output_fired_time: 0.0000000000, propagate_forward_time: 76.4162445068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7452011108
validation[          , genome 10510] predictions:    6178/  10000 (61.78%), best:    6178/10000 (61.78%), error:     11513.87793, best error:     11513.87793 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1053.4478759766s, input_fired_time: 8.8164062500, output_fired_time: 8.3197193146, propagate_forward_time: 396.0470886230, propagate_backward_time: 630.2860107422, weight_update_time: 1.0539922714, other_time: 9.9786376953
epoch time: 94.0316085815s, input_fired_time: 1.2300311327, output_fired_time: 0.0000000000, propagate_forward_time: 90.7209548950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0806198120
validation[          , genome 10510] predictions:    6189/  10000 (61.89%), best:    6178/10000 (61.78%), error:     11632.41602, best error:     11513.87793 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1068.6113281250s, input_fired_time: 8.8811616898, output_fired_time: 8.1285772324, propagate_forward_time: 401.0309753418, propagate_backward_time: 640.2601928711, weight_update_time: 1.0906722546, other_time: 10.3104858398
epoch time: 79.1217727661s, input_fired_time: 0.9413739443, output_fired_time: 0.0000000000, propagate_forward_time: 76.4750061035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7053909302
validation[          , genome 10510] predictions:    6232/  10000 (62.32%), best:    6178/10000 (61.78%), error:     11698.66113, best error:     11513.87793 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

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_1533899704_161_10510.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1533899704_161_10510_2_r313863754_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: 0.959291
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000783401
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.13361e-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: 54
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 51
read number_validation_images: 10000
read best_validation_predictions: 6178
read best_validation_error: 11513.9
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: 10510
read normal distribution: '1 0 0'
generator_str: '411191471'
read generator: 411191471
read generated_by_map:
1 enable_edge 1
reading 82 nodes.
reading 308 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: 1051.71765136719s, input_fired_time: 8.7720890045166, output_fired_time: 7.87750196456909, propagate_forward_time: 394.167358398438, propagate_backward_time: 630.740051269531, weight_update_time: 0.979781448841095, other_time: 10.1607055664063
epoch time: 90.3575973510742s, input_fired_time: 1.20785546302795, output_fired_time: 0, propagate_forward_time: 87.1128082275391, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.03693389892578
validation[          , genome 10510] predictions:    6216/  10000 (62.16%), best:    6178/10000 (61.78%), error:     11545.14160, best error:     11513.87793 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1064.2000732422s, input_fired_time: 9.2751445770, output_fired_time: 8.5212926865, propagate_forward_time: 398.7379150391, propagate_backward_time: 637.7134399414, weight_update_time: 1.0589102507, other_time: 9.9523315430
epoch time: 69.6737899780s, input_fired_time: 0.8874100447, output_fired_time: 0.0000000000, propagate_forward_time: 67.3042144775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4821624756
validation[          , genome 10510] predictions:    6228/  10000 (62.28%), best:    6178/10000 (61.78%), error:     11542.76172, best error:     11513.87793 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 903.2161865234s, input_fired_time: 7.4949736595, output_fired_time: 6.7285690308, propagate_forward_time: 340.2908325195, propagate_backward_time: 540.3107299805, weight_update_time: 0.9059026241, other_time: 8.3910522461
epoch time: 90.4786834717s, input_fired_time: 1.2779885530, output_fired_time: 0.0000000000, propagate_forward_time: 87.1639709473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0367202759
validation[          , genome 10510] predictions:    6129/  10000 (61.29%), best:    6178/10000 (61.78%), error:     11755.59473, best error:     11513.87793 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1071.9268798828s, input_fired_time: 8.9715213776, output_fired_time: 7.9779295921, propagate_forward_time: 401.1815185547, propagate_backward_time: 643.6155395508, weight_update_time: 1.0244449377, other_time: 10.1803588867
epoch time: 88.5965652466s, input_fired_time: 1.1458401680, output_fired_time: 0.0000000000, propagate_forward_time: 85.4777984619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9729232788
validation[          , genome 10510] predictions:    6244/  10000 (62.44%), best:    6244/10000 (62.44%), error:     11455.54688, best error:     11455.54688 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1119.9567871094s, input_fired_time: 8.9675312042, output_fired_time: 8.5258836746, propagate_forward_time: 419.2334899902, propagate_backward_time: 672.1499023438, weight_update_time: 1.1493400335, other_time: 11.0799560547
epoch time: 70.2515640259s, input_fired_time: 0.8738417625, output_fired_time: 0.0000000000, propagate_forward_time: 67.9077987671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4699249268
validation[          , genome 10510] predictions:    6313/  10000 (63.13%), best:    6313/10000 (63.13%), error:     11203.69922, best error:     11203.69922 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1009.3085327148s, input_fired_time: 8.4911375046, output_fired_time: 7.6813354492, propagate_forward_time: 377.6224060059, propagate_backward_time: 605.8387451172, weight_update_time: 1.0508855581, other_time: 9.6749267578
epoch time: 90.6742477417s, input_fired_time: 1.1857125759, output_fired_time: 0.0000000000, propagate_forward_time: 87.5365753174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9519577026
validation[          , genome 10510] predictions:    6301/  10000 (63.01%), best:    6313/10000 (63.13%), error:     11307.70703, best error:     11203.69922 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 950.6535034180s, input_fired_time: 8.0152158737, output_fired_time: 7.1508779526, propagate_forward_time: 356.7973022461, propagate_backward_time: 569.8392944336, weight_update_time: 0.9499357343, other_time: 8.8508300781
epoch time: 91.1214370728s, input_fired_time: 1.0840792656, output_fired_time: 0.0000000000, propagate_forward_time: 88.0782928467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9590682983
validation[          , genome 10510] predictions:    6121/  10000 (61.21%), best:    6313/10000 (63.13%), error:     12062.04785, best error:     11203.69922 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 941.0408935547s, input_fired_time: 7.8590507507, output_fired_time: 7.2908954620, propagate_forward_time: 353.6492309570, propagate_backward_time: 563.4533081055, weight_update_time: 0.9887747169, other_time: 8.7883911133
epoch time: 90.5590896606s, input_fired_time: 1.1150878668, output_fired_time: 0.0000000000, propagate_forward_time: 87.3517303467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0922698975
validation[          , genome 10510] predictions:    6314/  10000 (63.14%), best:    6313/10000 (63.13%), error:     11343.13184, best error:     11203.69922 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 983.1397705078s, input_fired_time: 8.3105735779, output_fired_time: 7.4627199173, propagate_forward_time: 368.5353088379, propagate_backward_time: 589.5163574219, weight_update_time: 0.9798124433, other_time: 9.3148193359
epoch time: 84.4380874634s, input_fired_time: 1.0641844273, output_fired_time: 0.0000000000, propagate_forward_time: 81.5064086914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8674926758
validation[          , genome 10510] predictions:    6353/  10000 (63.53%), best:    6313/10000 (63.13%), error:     11247.23047, best error:     11203.69922 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1049.6429443359s, input_fired_time: 9.2104148865, output_fired_time: 8.0845584869, propagate_forward_time: 392.3812866211, propagate_backward_time: 629.9413452148, weight_update_time: 0.9965442419, other_time: 10.0252685547
epoch time: 82.8589401245s, input_fired_time: 1.0835984945, output_fired_time: 0.0000000000, propagate_forward_time: 80.0170898438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7582550049
validation[          , genome 10510] predictions:    6238/  10000 (62.38%), best:    6313/10000 (63.13%), error:     11462.13770, best error:     11203.69922 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 980.7195434570s, input_fired_time: 8.3042650223, output_fired_time: 7.4180269241, propagate_forward_time: 368.0739440918, propagate_backward_time: 587.7495117188, weight_update_time: 0.9898279905, other_time: 9.1738281250
epoch time: 70.9773254395s, input_fired_time: 0.8827131391, output_fired_time: 0.0000000000, propagate_forward_time: 68.6365585327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4580535889
validation[          , genome 10510] predictions:    6275/  10000 (62.75%), best:    6313/10000 (63.13%), error:     11513.84473, best error:     11203.69922 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 972.9736938477s, input_fired_time: 8.0187597275, output_fired_time: 7.2683992386, propagate_forward_time: 365.9882507324, propagate_backward_time: 582.6683959961, weight_update_time: 0.9503073096, other_time: 9.0299682617
epoch time: 72.8575286865s, input_fired_time: 0.9162812829, output_fired_time: 0.0000000000, propagate_forward_time: 70.3705749512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5706710815
validation[          , genome 10510] predictions:    6251/  10000 (62.51%), best:    6313/10000 (63.13%), error:     11349.63965, best error:     11203.69922 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 991.3512573242s, input_fired_time: 8.2177190781, output_fired_time: 7.5032773018, propagate_forward_time: 372.0729980469, propagate_backward_time: 594.2089843750, weight_update_time: 0.9949493408, other_time: 9.3482666016
epoch time: 82.1727600098s, input_fired_time: 1.0744287968, output_fired_time: 0.0000000000, propagate_forward_time: 79.3452224731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7531051636
validation[          , genome 10510] predictions:    6258/  10000 (62.58%), best:    6313/10000 (63.13%), error:     11274.69531, best error:     11203.69922 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1067.6710205078s, input_fired_time: 8.9997997284, output_fired_time: 7.9726319313, propagate_forward_time: 400.3762817383, propagate_backward_time: 640.6268920898, weight_update_time: 1.0129095316, other_time: 9.6954345703
epoch time: 87.9756469727s, input_fired_time: 1.1827040911, output_fired_time: 0.0000000000, propagate_forward_time: 84.6682510376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1246948242
validation[          , genome 10510] predictions:    6323/  10000 (63.23%), best:    6323/10000 (63.23%), error:     11197.88672, best error:     11197.88672 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1101.0723876953s, input_fired_time: 9.3021545410, output_fired_time: 8.6946935654, propagate_forward_time: 411.1180725098, propagate_backward_time: 661.5546264648, weight_update_time: 1.1564905643, other_time: 10.4028930664
epoch time: 81.5854263306s, input_fired_time: 1.1197686195, output_fired_time: 0.0000000000, propagate_forward_time: 78.7661666870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6994934082
validation[          , genome 10510] predictions:    6324/  10000 (63.24%), best:    6323/10000 (63.23%), error:     11378.62207, best error:     11197.88672 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1085.8436279297s, input_fired_time: 9.4532766342, output_fired_time: 8.1344900131, propagate_forward_time: 407.3399047852, propagate_backward_time: 650.1190185547, weight_update_time: 1.2454061508, other_time: 10.7969360352
epoch time: 90.2214050293s, input_fired_time: 1.2006378174, output_fired_time: 0.0000000000, propagate_forward_time: 87.1763763428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8443908691
validation[          , genome 10510] predictions:    6304/  10000 (63.04%), best:    6304/10000 (63.04%), error:     11194.86035, best error:     11194.86035 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1056.8011474609s, input_fired_time: 9.1759948730, output_fired_time: 7.9111909866, propagate_forward_time: 396.0728759766, propagate_backward_time: 633.4142456055, weight_update_time: 0.9898657799, other_time: 10.2268676758
epoch time: 76.1008148193s, input_fired_time: 1.0345622301, output_fired_time: 0.0000000000, propagate_forward_time: 73.5421142578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5241394043
validation[          , genome 10510] predictions:    6381/  10000 (63.81%), best:    6381/10000 (63.81%), error:     11129.88770, best error:     11129.88770 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

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_1533899704_161_10510.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1533899704_161_10510_2_r313863754_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.97716
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000327556
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.31022e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 71
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 70
read number_validation_images: 10000
read best_validation_predictions: 6381
read best_validation_error: 11129.9
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: 10510
read normal distribution: '1 0 0'
generator_str: '1516369206'
read generator: 1516369206
read generated_by_map:
1 enable_edge 1
reading 82 nodes.
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_1533899704_161_10510.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1533899704_161_10510_2_r313863754_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.97716
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000327556
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.31022e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 71
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 70
read number_validation_images: 10000
read best_validation_predictions: 6381
read best_validation_error: 11129.9
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: 10510
read normal distribution: '1 0 0'
generator_str: '1516369206'
read generator: 1516369206
read generated_by_map:
1 enable_edge 1
reading 82 nodes.
reading 308 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: 1052.67578125s, input_fired_time: 8.86399459838867, output_fired_time: 8.07075214385986, propagate_forward_time: 394.155639648438, propagate_backward_time: 631.569091796875, weight_update_time: 1.03983795642853, other_time: 10.0162353515625
epoch time: 92.4258880615234s, input_fired_time: 1.14155542850494, output_fired_time: 0, propagate_forward_time: 89.1855621337891, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.09877014160156
validation[          , genome 10510] predictions:    6324/  10000 (63.24%), best:    6381/10000 (63.81%), error:     11318.77246, best error:     11129.88770 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1160.7947998047s, input_fired_time: 9.8791522980, output_fired_time: 8.6629915237, propagate_forward_time: 432.3867187500, propagate_backward_time: 698.5014648438, weight_update_time: 1.3190923929, other_time: 11.3645019531
epoch time: 86.2669525146s, input_fired_time: 1.0701270103, output_fired_time: 0.0000000000, propagate_forward_time: 83.4174041748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7794189453
validation[          , genome 10510] predictions:    6288/  10000 (62.88%), best:    6381/10000 (63.81%), error:     11507.20313, best error:     11129.88770 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1021.4671630859s, input_fired_time: 8.5195007324, output_fired_time: 7.6624140739, propagate_forward_time: 382.7007446289, propagate_backward_time: 612.9699707031, weight_update_time: 1.0142401457, other_time: 9.6145019531
epoch time: 72.3124313354s, input_fired_time: 0.9271389246, output_fired_time: 0.0000000000, propagate_forward_time: 69.9022521973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4830398560
validation[          , genome 10510] predictions:    6253/  10000 (62.53%), best:    6381/10000 (63.81%), error:     11543.18457, best error:     11129.88770 on epoch:    70, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 934.6698608398s, input_fired_time: 7.7451753616, output_fired_time: 7.0225362778, propagate_forward_time: 352.2702026367, propagate_backward_time: 558.9923095703, weight_update_time: 0.8998023868, other_time: 8.6396484375
epoch time: 83.2181625366s, input_fired_time: 1.1150442362, output_fired_time: 0.0000000000, propagate_forward_time: 80.3319854736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7711334229
validation[          , genome 10510] predictions:    6425/  10000 (64.25%), best:    6381/10000 (63.81%), error:     11213.34375, best error:     11129.88770 on epoch:    70, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1131.6762695313s, input_fired_time: 9.8296508789, output_fired_time: 8.9725313187, propagate_forward_time: 423.9630737305, propagate_backward_time: 678.0314331055, weight_update_time: 1.1186561584, other_time: 10.8796386719
epoch time: 73.7565917969s, input_fired_time: 0.9344703555, output_fired_time: 0.0000000000, propagate_forward_time: 71.2753448486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5467758179
validation[          , genome 10510] predictions:    6278/  10000 (62.78%), best:    6381/10000 (63.81%), error:     11472.53320, best error:     11129.88770 on epoch:    70, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1086.7501220703s, input_fired_time: 9.0427446365, output_fired_time: 8.1997175217, propagate_forward_time: 407.1537170410, propagate_backward_time: 652.0643310547, weight_update_time: 1.1314885616, other_time: 10.2896728516
epoch time: 77.6707534790s, input_fired_time: 0.9611539841, output_fired_time: 0.0000000000, propagate_forward_time: 75.0386657715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6709365845
validation[          , genome 10510] predictions:    6281/  10000 (62.81%), best:    6381/10000 (63.81%), error:     11575.01563, best error:     11129.88770 on epoch:    70, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 996.3492431641s, input_fired_time: 8.3894977570, output_fired_time: 7.4841208458, propagate_forward_time: 373.6459045410, propagate_backward_time: 597.4604492188, weight_update_time: 0.9308480024, other_time: 9.3692626953
epoch time: 92.9540939331s, input_fired_time: 1.1384220123, output_fired_time: 0.0000000000, propagate_forward_time: 89.8595123291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9561614990
validation[          , genome 10510] predictions:    6408/  10000 (64.08%), best:    6408/10000 (64.08%), error:     11025.34082, best error:     11025.34082 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1060.3491210938s, input_fired_time: 9.2007427216, output_fired_time: 7.8570694923, propagate_forward_time: 396.6840515137, propagate_backward_time: 636.4129028320, weight_update_time: 1.0537021160, other_time: 10.1943969727
epoch time: 78.0585479736s, input_fired_time: 0.9313018322, output_fired_time: 0.0000000000, propagate_forward_time: 75.4723587036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6548843384
validation[          , genome 10510] predictions:    6375/  10000 (63.75%), best:    6408/10000 (64.08%), error:     11128.01367, best error:     11025.34082 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1078.7225341797s, input_fired_time: 9.3649291992, output_fired_time: 8.1869506836, propagate_forward_time: 404.0828247070, propagate_backward_time: 646.6629028320, weight_update_time: 1.0396956205, other_time: 10.4249267578
epoch time: 81.1304702759s, input_fired_time: 1.1470665932, output_fired_time: 0.0000000000, propagate_forward_time: 78.2472305298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7361755371
validation[          , genome 10510] predictions:    6377/  10000 (63.77%), best:    6408/10000 (64.08%), error:     11166.43750, best error:     11025.34082 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1079.1922607422s, input_fired_time: 9.1988840103, output_fired_time: 8.0516176224, propagate_forward_time: 405.5914611816, propagate_backward_time: 646.0378417969, weight_update_time: 1.0243986845, other_time: 10.3125000000
epoch time: 70.9364776611s, input_fired_time: 0.9021806121, output_fired_time: 0.0000000000, propagate_forward_time: 68.5689544678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4653396606
validation[          , genome 10510] predictions:    6335/  10000 (63.35%), best:    6408/10000 (64.08%), error:     11174.07324, best error:     11025.34082 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1034.8040771484s, input_fired_time: 9.0948076248, output_fired_time: 7.7588353157, propagate_forward_time: 388.2388000488, propagate_backward_time: 619.8751831055, weight_update_time: 1.0434718132, other_time: 9.8363647461
epoch time: 73.5343017578s, input_fired_time: 0.9342820048, output_fired_time: 0.0000000000, propagate_forward_time: 71.0821838379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5178375244
validation[          , genome 10510] predictions:    6361/  10000 (63.61%), best:    6408/10000 (64.08%), error:     11111.55957, best error:     11025.34082 on epoch:    77, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1024.5257568359s, input_fired_time: 8.5353021622, output_fired_time: 7.9263982773, propagate_forward_time: 385.0000000000, propagate_backward_time: 613.1410522461, weight_update_time: 1.0079358816, other_time: 9.9230346680
epoch time: 93.8071212769s, input_fired_time: 1.3374990225, output_fired_time: 0.0000000000, propagate_forward_time: 90.2704238892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1991958618
validation[          , genome 10510] predictions:    6367/  10000 (63.67%), best:    6408/10000 (64.08%), error:     11141.42969, best error:     11025.34082 on epoch:    77, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1036.8062744141s, input_fired_time: 8.7504749298, output_fired_time: 7.7172551155, propagate_forward_time: 389.8599548340, propagate_backward_time: 620.5681762695, weight_update_time: 1.0159035921, other_time: 9.9103393555
epoch time: 92.0842819214s, input_fired_time: 1.2640789747, output_fired_time: 0.0000000000, propagate_forward_time: 88.7985534668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0216522217
validation[          , genome 10510] predictions:    6337/  10000 (63.37%), best:    6408/10000 (64.08%), error:     11288.38086, best error:     11025.34082 on epoch:    77, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 982.8308105469s, input_fired_time: 8.5829877853, output_fired_time: 7.4110045433, propagate_forward_time: 368.8885498047, propagate_backward_time: 588.6451416016, weight_update_time: 1.0493023396, other_time: 9.3031005859
epoch time: 93.8384094238s, input_fired_time: 1.1697076559, output_fired_time: 0.0000000000, propagate_forward_time: 90.6929397583, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9757614136
validation[          , genome 10510] predictions:    6406/  10000 (64.06%), best:    6408/10000 (64.08%), error:     11207.04785, best error:     11025.34082 on epoch:    77, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 999.1071777344s, input_fired_time: 8.4449644089, output_fired_time: 7.4450855255, propagate_forward_time: 375.9784545898, propagate_backward_time: 597.9119262695, weight_update_time: 1.0758732557, other_time: 9.3267822266
epoch time: 93.7735443115s, input_fired_time: 1.2595738173, output_fired_time: 0.0000000000, propagate_forward_time: 90.3928833008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1210861206
validation[          , genome 10510] predictions:    6329/  10000 (63.29%), best:    6408/10000 (64.08%), error:     11246.87500, best error:     11025.34082 on epoch:    77, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1065.6892089844s, input_fired_time: 9.2261371613, output_fired_time: 8.2046251297, propagate_forward_time: 400.8988037109, propagate_backward_time: 637.4810180664, weight_update_time: 1.0489810705, other_time: 9.8786010742
epoch time: 85.6162948608s, input_fired_time: 1.0731251240, output_fired_time: 0.0000000000, propagate_forward_time: 82.7708511353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7723159790
validation[          , genome 10510] predictions:    6386/  10000 (63.86%), best:    6408/10000 (64.08%), error:     11045.81738, best error:     11025.34082 on epoch:    77, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1000.6151123047s, input_fired_time: 8.4182977676, output_fired_time: 7.3468194008, propagate_forward_time: 375.7720336914, propagate_backward_time: 599.6717529297, weight_update_time: 0.9561775327, other_time: 9.4062500000
epoch time: 82.7608413696s, input_fired_time: 1.1235827208, output_fired_time: 0.0000000000, propagate_forward_time: 79.8673019409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7699584961
validation[          , genome 10510] predictions:    6374/  10000 (63.74%), best:    6408/10000 (64.08%), error:     11108.67871, best error:     11025.34082 on epoch:    77, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1074.6103515625s, input_fired_time: 9.3133869171, output_fired_time: 8.1690311432, propagate_forward_time: 401.8855285645, propagate_backward_time: 645.0168457031, weight_update_time: 0.9792571664, other_time: 10.2255859375
epoch time: 73.6840209961s, input_fired_time: 0.9306322336, output_fired_time: 0.0000000000, propagate_forward_time: 71.1791152954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5742721558
validation[          , genome 10510] predictions:    6419/  10000 (64.19%), best:    6419/10000 (64.19%), error:     11013.04883, best error:     11013.04883 on epoch:    88, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1045.9790039063s, input_fired_time: 8.9756565094, output_fired_time: 7.8440208435, propagate_forward_time: 392.5168151855, propagate_backward_time: 626.6799316406, weight_update_time: 1.0912640095, other_time: 9.9625244141
epoch time: 93.1862945557s, input_fired_time: 1.3749600649, output_fired_time: 0.0000000000, propagate_forward_time: 89.7846298218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0267028809
validation[          , genome 10510] predictions:    6415/  10000 (64.15%), best:    6419/10000 (64.19%), error:     11138.21484, best error:     11013.04883 on epoch:    88, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 945.1746215820s, input_fired_time: 7.9838619232, output_fired_time: 7.1450357437, propagate_forward_time: 355.9637145996, propagate_backward_time: 565.1860961914, weight_update_time: 0.9707945585, other_time: 8.8959350586
epoch time: 80.1302413940s, input_fired_time: 1.0027846098, output_fired_time: 0.0000000000, propagate_forward_time: 77.3762588501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7511978149
validation[          , genome 10510] predictions:    6365/  10000 (63.65%), best:    6419/10000 (64.19%), error:     11210.96289, best error:     11013.04883 on epoch:    88, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1098.0699462891s, input_fired_time: 9.1585817337, output_fired_time: 8.6925468445, propagate_forward_time: 411.4342956543, propagate_backward_time: 658.4691772461, weight_update_time: 1.0692373514, other_time: 10.3153686523
epoch time: 93.1281738281s, input_fired_time: 1.2495491505, output_fired_time: 0.0000000000, propagate_forward_time: 90.0163726807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8622512817
validation[          , genome 10510] predictions:    6411/  10000 (64.11%), best:    6411/10000 (64.11%), error:     11003.67383, best error:     11003.67383 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1020.9641723633s, input_fired_time: 8.4693450928, output_fired_time: 7.7323570251, propagate_forward_time: 383.5165100098, propagate_backward_time: 611.4275512695, weight_update_time: 1.1280325651, other_time: 9.8184204102
epoch time: 86.4729995728s, input_fired_time: 1.2114585638, output_fired_time: 0.0000000000, propagate_forward_time: 83.2777633667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9837799072
validation[          , genome 10510] predictions:    6369/  10000 (63.69%), best:    6411/10000 (64.11%), error:     11075.51660, best error:     11003.67383 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1021.8842163086s, input_fired_time: 8.8020725250, output_fired_time: 7.7320275307, propagate_forward_time: 384.2062988281, propagate_backward_time: 611.5543823242, weight_update_time: 0.9334511757, other_time: 9.5894165039
epoch time: 92.6170501709s, input_fired_time: 1.2039873600, output_fired_time: 0.0000000000, propagate_forward_time: 89.5136337280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8994293213
validation[          , genome 10510] predictions:    6427/  10000 (64.27%), best:    6427/10000 (64.27%), error:     10917.96191, best error:     10917.96191 on epoch:    93, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1037.1690673828s, input_fired_time: 8.6534585953, output_fired_time: 7.8827428818, propagate_forward_time: 389.2927551270, propagate_backward_time: 621.2843627930, weight_update_time: 1.2268892527, other_time: 10.0557250977
epoch time: 73.0607223511s, input_fired_time: 0.9338443279, output_fired_time: 0.0000000000, propagate_forward_time: 70.6326217651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4942550659
validation[          , genome 10510] predictions:    6414/  10000 (64.14%), best:    6427/10000 (64.27%), error:     11124.96875, best error:     10917.96191 on epoch:    93, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1013.1817016602s, input_fired_time: 8.5348138809, output_fired_time: 7.7035250664, propagate_forward_time: 381.1093444824, propagate_backward_time: 606.0216674805, weight_update_time: 0.9779979587, other_time: 9.8123168945
epoch time: 74.0931396484s, input_fired_time: 0.9510349035, output_fired_time: 0.0000000000, propagate_forward_time: 71.6054458618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5366592407
validation[          , genome 10510] predictions:    6417/  10000 (64.17%), best:    6427/10000 (64.27%), error:     11111.51855, best error:     10917.96191 on epoch:    93, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1168.7243652344s, input_fired_time: 10.1290178299, output_fired_time: 8.9477415085, propagate_forward_time: 437.3264770508, propagate_backward_time: 701.0725708008, weight_update_time: 1.2836189270, other_time: 11.2485351563
epoch time: 93.4837875366s, input_fired_time: 1.1087183952, output_fired_time: 0.0000000000, propagate_forward_time: 90.1610107422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2140579224
validation[          , genome 10510] predictions:    6404/  10000 (64.04%), best:    6427/10000 (64.27%), error:     11031.74414, best error:     10917.96191 on epoch:    93, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1078.0593261719s, input_fired_time: 9.3488359451, output_fired_time: 8.2467756271, propagate_forward_time: 403.8345336914, propagate_backward_time: 646.0892333984, weight_update_time: 1.2167303562, other_time: 10.5398559570
epoch time: 93.7478942871s, input_fired_time: 1.3177417517, output_fired_time: 0.0000000000, propagate_forward_time: 90.3394088745, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0907440186
validation[          , genome 10510] predictions:    6399/  10000 (63.99%), best:    6427/10000 (64.27%), error:     11110.43164, best error:     10917.96191 on epoch:    93, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1050.6635742188s, input_fired_time: 9.3089761734, output_fired_time: 7.9662194252, propagate_forward_time: 393.3439025879, propagate_backward_time: 630.1253662109, weight_update_time: 1.0874671936, other_time: 9.9191894531
epoch time: 86.1284027100s, input_fired_time: 1.1249967813, output_fired_time: 0.0000000000, propagate_forward_time: 83.1300582886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8733444214
validation[          , genome 10510] predictions:    6423/  10000 (64.23%), best:    6427/10000 (64.27%), error:     10999.20020, best error:     10917.96191 on epoch:    93, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1085.8093261719s, input_fired_time: 9.2698488235, output_fired_time: 8.7318658829, propagate_forward_time: 406.5964965820, propagate_backward_time: 650.8099975586, weight_update_time: 1.0384885073, other_time: 10.4011230469
epoch time: 94.0309448242s, input_fired_time: 1.3418848515, output_fired_time: 0.0000000000, propagate_forward_time: 90.5849914551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1040649414
validation[          , genome 10510] predictions:    6404/  10000 (64.04%), best:    6427/10000 (64.27%), error:     11062.46680, best error:     10917.96191 on epoch:    93, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1030.7166748047s, input_fired_time: 8.7534179688, output_fired_time: 7.7915577888, propagate_forward_time: 387.1599426270, propagate_backward_time: 617.3217773438, weight_update_time: 1.0214022398, other_time: 9.6899414063
epoch time: 91.2188491821s, input_fired_time: 1.1221642494, output_fired_time: 0.0000000000, propagate_forward_time: 88.0656509399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0310363770
validation[          , genome 10510] predictions:    6412/  10000 (64.12%), best:    6427/10000 (64.27%), error:     11020.65723, best error:     10917.96191 on epoch:    93, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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_1533899704_161_10510.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1533899704_161_10510_2_r313863754_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: 0.987244
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.03062e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.81225e-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: 101
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 93
read number_validation_images: 10000
read best_validation_predictions: 6427
read best_validation_error: 10918
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: 10510
read normal distribution: '1 0 0'
generator_str: '1302233746'
read generator: 1302233746
read generated_by_map:
1 enable_edge 1
reading 82 nodes.
reading 308 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: 1071.51940917969s, input_fired_time: 9.01566314697266, output_fired_time: 8.40369892120361, propagate_forward_time: 401.698608398438, propagate_backward_time: 641.808410644531, weight_update_time: 1.10122966766357, other_time: 10.5930786132813
epoch time: 82.2635192871094s, input_fired_time: 1.0548232793808, output_fired_time: 0, propagate_forward_time: 79.3789825439453, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.8297119140625
validation[          , genome 10510] predictions:    6406/  10000 (64.06%), best:    6427/10000 (64.27%), error:     11187.50098, best error:     10917.96191 on epoch:    93, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 350.4535827637s, input_fired_time: 4.5080866814, output_fired_time: 0.0000000000, propagate_forward_time: 338.5487976074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.3966979980
best training[          , genome 10510] predictions:   41121/  50000 (82.24%), best:    6427/10000 (64.27%), error:     27568.52539, best error:     10917.96191 on epoch:    93, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 78.1994781494s, input_fired_time: 0.8987720609, output_fired_time: 0.0000000000, propagate_forward_time: 75.6686019897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6321029663
   testing[          , genome 10510] predictions:    6427/  10000 (64.27%), best:    6427/10000 (64.27%), error:     10917.96191, best error:     10917.96191 on epoch:    93, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
backpropagation finished successfully!
19:56:28 (6184): called boinc_finish(0)

</stderr_txt>
]]>