Nameexact_genome_1542495604_178_6218_1
Workunit4096587
Created18 Nov 2018, 7:02:10 UTC
Sent18 Nov 2018, 7:27:37 UTC
Report deadline25 Jan 2019, 8:30:04 UTC
Received20 Nov 2018, 11:18:30 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87483
Run time1 days 9 hours 54 min 19 sec
CPU time1 days 6 hours 59 min 35 sec
Validate stateValid
Credit17,010.84
Device peak FLOPS4.23 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size560.00 MB
Peak swap size579.95 MB
Peak disk usage15.32 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_178_6218.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_178_6218_1_r1564196611_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_178_6218.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.496146
read mu: 0.496146
read mu_delta: 0.952144
read initial_learning_rate: 0.00029619
read learning_rate: 0.00029619
read learning_rate_delta: 0.917249
read initial_weight_decay: 0.000478446
read weight_decay: 0.000478446
read weight_decay_delta: 0.92316
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0855808
read input_dropout_probability: 0.00110452
read hidden_dropout_probability: 0.112286
read velocity_reset: 2149
read epoch: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6218
read normal distribution: '1 0 0'
generator_str: '1733260577'
read generator: 1733260577
read generated_by_map:
1 disable_edge 1
reading 108 nodes.
reading 566 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 294846084
post shuffle 1: 137948305
epoch time: 2108.62817382813s, input_fired_time: 19.7490978240967, output_fired_time: 8.74075889587402, propagate_forward_time: 832.104858398438, propagate_backward_time: 1226.60119628906, weight_update_time: 0.51363080739975, other_time: 21.432373046875
epoch time: 175.58854675293s, input_fired_time: 1.48644924163818, output_fired_time: 0, propagate_forward_time: 168.235107421875, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.86698913574219
validation[          , genome  6218] predictions:    5405/  10000 (54.05%), best:    5405/10000 (54.05%), error:     13719.11035, best error:     13719.11035 on epoch:     0, epoch:    0/50, mu: 0.4961460233, learning_rate: 0.0002961904, weight_decay: 0.0004784465

epoch time: 2125.3225097656s, input_fired_time: 19.7167091370, output_fired_time: 8.6524314880, propagate_forward_time: 828.2086791992, propagate_backward_time: 1222.2198486328, weight_update_time: 0.5048015118, other_time: 46.5247802734
epoch time: 170.9027557373s, input_fired_time: 1.4663562775, output_fired_time: 0.0000000000, propagate_forward_time: 164.6506500244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7857513428
validation[          , genome  6218] predictions:    5936/  10000 (59.36%), best:    5936/10000 (59.36%), error:     12353.02832, best error:     12353.02832 on epoch:     1, epoch:    1/50, mu: 0.5197800994, learning_rate: 0.0002716802, weight_decay: 0.0004416828

epoch time: 2097.9291992188s, input_fired_time: 19.3675308228, output_fired_time: 8.6032905579, propagate_forward_time: 821.8892211914, propagate_backward_time: 1212.0152587891, weight_update_time: 0.4925199747, other_time: 36.0540771484
epoch time: 172.4344482422s, input_fired_time: 1.4844533205, output_fired_time: 0.0000000000, propagate_forward_time: 166.9393920898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0106048584
validation[          , genome  6218] predictions:    5725/  10000 (57.25%), best:    5725/10000 (57.25%), error:     12130.74805, best error:     12130.74805 on epoch:     2, epoch:    2/50, mu: 0.5422831774, learning_rate: 0.0002491983, weight_decay: 0.0004077440

epoch time: 2141.1186523438s, input_fired_time: 19.8179893494, output_fired_time: 8.8282699585, propagate_forward_time: 839.0054931641, propagate_backward_time: 1233.4433593750, weight_update_time: 0.5061451197, other_time: 40.0235595703
epoch time: 174.9610595703s, input_fired_time: 1.4668089151, output_fired_time: 0.0000000000, propagate_forward_time: 167.5136413574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9806060791
validation[          , genome  6218] predictions:    5308/  10000 (53.08%), best:    5725/10000 (57.25%), error:     13653.65723, best error:     12130.74805 on epoch:     2, epoch:    3/50, mu: 0.5637093186, learning_rate: 0.0002285768, weight_decay: 0.0003764131

epoch time: 2124.0373535156s, input_fired_time: 19.4738941193, output_fired_time: 8.6540632248, propagate_forward_time: 827.2880859375, propagate_backward_time: 1219.4893798828, weight_update_time: 0.5181391239, other_time: 49.1319580078
epoch time: 171.3538665771s, input_fired_time: 1.4419586658, output_fired_time: 0.0000000000, propagate_forward_time: 165.9904785156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9214324951
validation[          , genome  6218] predictions:    5957/  10000 (59.57%), best:    5957/10000 (59.57%), error:     11855.01367, best error:     11855.01367 on epoch:     4, epoch:    4/50, mu: 0.5841100812, learning_rate: 0.0002096618, weight_decay: 0.0003474896

epoch time: 2139.2148437500s, input_fired_time: 19.7164745331, output_fired_time: 8.6880855560, propagate_forward_time: 833.6082153320, propagate_backward_time: 1227.6871337891, weight_update_time: 0.5025031567, other_time: 49.5150146484
epoch time: 171.6916351318s, input_fired_time: 1.4426850080, output_fired_time: 0.0000000000, propagate_forward_time: 166.2274169922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0215301514
validation[          , genome  6218] predictions:    5654/  10000 (56.54%), best:    5957/10000 (59.57%), error:     12761.11621, best error:     11855.01367 on epoch:     4, epoch:    5/50, mu: 0.6035345197, learning_rate: 0.0001923120, weight_decay: 0.0003207886

epoch time: 2124.6628417969s, input_fired_time: 19.5436439514, output_fired_time: 8.7776794434, propagate_forward_time: 833.0460205078, propagate_backward_time: 1227.5671386719, weight_update_time: 0.5244764686, other_time: 35.7283935547
epoch time: 171.8996887207s, input_fired_time: 1.4451352358, output_fired_time: 0.0000000000, propagate_forward_time: 165.9491729736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5053863525
validation[          , genome  6218] predictions:    5755/  10000 (57.55%), best:    5957/10000 (59.57%), error:     12247.35254, best error:     11855.01367 on epoch:     4, epoch:    6/50, mu: 0.6220293641, learning_rate: 0.0001763979, weight_decay: 0.0002961392

epoch time: 2134.4582519531s, input_fired_time: 19.5569400787, output_fired_time: 8.6342678070, propagate_forward_time: 827.5770263672, propagate_backward_time: 1220.1276855469, weight_update_time: 0.4959500134, other_time: 58.5623779297
epoch time: 176.2823028564s, input_fired_time: 1.4709041119, output_fired_time: 0.0000000000, propagate_forward_time: 170.6556854248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1557159424
validation[          , genome  6218] predictions:    5578/  10000 (55.78%), best:    5957/10000 (59.57%), error:     13136.37109, best error:     11855.01367 on epoch:     4, epoch:    7/50, mu: 0.6396391392, learning_rate: 0.0001618007, weight_decay: 0.0002733840

epoch time: 2132.6191406250s, input_fired_time: 19.4850292206, output_fired_time: 8.7814302444, propagate_forward_time: 832.0026855469, propagate_backward_time: 1226.3924560547, weight_update_time: 0.5187014937, other_time: 45.9573974609
epoch time: 174.7368774414s, input_fired_time: 1.4614975452, output_fired_time: 0.0000000000, propagate_forward_time: 168.7610778809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5142974854
validation[          , genome  6218] predictions:    5874/  10000 (58.74%), best:    5957/10000 (59.57%), error:     12194.33887, best error:     11855.01367 on epoch:     4, epoch:    8/50, mu: 0.6564061642, learning_rate: 0.0001484115, weight_decay: 0.0002523772

epoch time: 2156.9975585938s, input_fired_time: 20.0153293610, output_fired_time: 8.7181100845, propagate_forward_time: 852.2061157227, propagate_backward_time: 1216.4576416016, weight_update_time: 0.5269044042, other_time: 59.6004638672
epoch time: 190.5629730225s, input_fired_time: 1.5971909761, output_fired_time: 0.0000000000, propagate_forward_time: 184.5292358398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4365386963
validation[          , genome  6218] predictions:    5817/  10000 (58.17%), best:    5957/10000 (59.57%), error:     12301.24414, best error:     11855.01367 on epoch:     4, epoch:    9/50, mu: 0.6723707914, learning_rate: 0.0001361302, weight_decay: 0.0002329846

epoch time: 2381.4475097656s, input_fired_time: 23.7736034393, output_fired_time: 9.8700904846, propagate_forward_time: 962.3599243164, propagate_backward_time: 1364.4348144531, weight_update_time: 0.5142775178, other_time: 21.0090332031
epoch time: 185.6434631348s, input_fired_time: 1.5864915848, output_fired_time: 0.0000000000, propagate_forward_time: 180.9580841064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0988922119
validation[          , genome  6218] predictions:    5847/  10000 (58.47%), best:    5957/10000 (59.57%), error:     12194.64063, best error:     11855.01367 on epoch:     4, epoch:   10/50, mu: 0.6875714064, learning_rate: 0.0001248653, weight_decay: 0.0002150821

epoch time: 2234.4484863281s, input_fired_time: 22.0049514771, output_fired_time: 9.1999721527, propagate_forward_time: 907.9434204102, propagate_backward_time: 1270.2075195313, weight_update_time: 0.5639141798, other_time: 25.0927734375
epoch time: 175.2541351318s, input_fired_time: 1.5226317644, output_fired_time: 0.0000000000, propagate_forward_time: 170.7741851807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9573211670
validation[          , genome  6218] predictions:    5924/  10000 (59.24%), best:    5957/10000 (59.57%), error:     12099.91406, best error:     11855.01367 on epoch:     4, epoch:   11/50, mu: 0.7020445466, learning_rate: 0.0001145325, weight_decay: 0.0001985553

epoch time: 2224.3720703125s, input_fired_time: 21.4988174438, output_fired_time: 9.3635873795, propagate_forward_time: 879.2560424805, propagate_backward_time: 1297.6828613281, weight_update_time: 0.5783834457, other_time: 16.5708007813
epoch time: 197.6392822266s, input_fired_time: 1.8477934599, output_fired_time: 0.0000000000, propagate_forward_time: 192.7052459717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0862426758
validation[          , genome  6218] predictions:    5681/  10000 (56.81%), best:    5957/10000 (59.57%), error:     12592.53027, best error:     11855.01367 on epoch:     4, epoch:   12/50, mu: 0.7158250809, learning_rate: 0.0001050548, weight_decay: 0.0001832983

epoch time: 2245.3686523438s, input_fired_time: 21.2327480316, output_fired_time: 9.4820909500, propagate_forward_time: 886.8999633789, propagate_backward_time: 1310.8780517578, weight_update_time: 0.5679355860, other_time: 16.8758544922
epoch time: 185.0967102051s, input_fired_time: 1.5729987621, output_fired_time: 0.0000000000, propagate_forward_time: 180.3591918945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1645202637
validation[          , genome  6218] predictions:    5943/  10000 (59.43%), best:    5957/10000 (59.57%), error:     11970.91211, best error:     11855.01367 on epoch:     4, epoch:   13/50, mu: 0.7289460897, learning_rate: 0.0000963613, weight_decay: 0.0001692137

epoch time: 2289.0783691406s, input_fired_time: 22.2388057709, output_fired_time: 9.8433303833, propagate_forward_time: 904.8093261719, propagate_backward_time: 1335.3775634766, weight_update_time: 0.5542372465, other_time: 16.8094482422
epoch time: 196.6509857178s, input_fired_time: 1.7725018263, output_fired_time: 0.0000000000, propagate_forward_time: 191.8230285645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0554504395
validation[          , genome  6218] predictions:    5799/  10000 (57.99%), best:    5957/10000 (59.57%), error:     12160.65918, best error:     11855.01367 on epoch:     4, epoch:   14/50, mu: 0.7414392233, learning_rate: 0.0000883873, weight_decay: 0.0001562114

epoch time: 2200.4926757813s, input_fired_time: 20.7255287170, output_fired_time: 9.1547431946, propagate_forward_time: 869.4909667969, propagate_backward_time: 1284.2591552734, weight_update_time: 0.5312384367, other_time: 16.8621826172
epoch time: 203.8356018066s, input_fired_time: 1.7721362114, output_fired_time: 0.0000000000, propagate_forward_time: 199.0321502686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0313110352
validation[          , genome  6218] predictions:    6037/  10000 (60.37%), best:    6037/10000 (60.37%), error:     11753.04590, best error:     11753.04590 on epoch:    15, epoch:   15/50, mu: 0.7533344626, learning_rate: 0.0000810731, weight_decay: 0.0001442082

epoch time: 2268.6337890625s, input_fired_time: 21.5746307373, output_fired_time: 9.4061384201, propagate_forward_time: 897.3386840820, propagate_backward_time: 1323.1036376953, weight_update_time: 0.5368714929, other_time: 17.2105712891
epoch time: 184.3099975586s, input_fired_time: 1.6001429558, output_fired_time: 0.0000000000, propagate_forward_time: 179.6724700928, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0373840332
validation[          , genome  6218] predictions:    5994/  10000 (59.94%), best:    5994/10000 (59.94%), error:     11586.86816, best error:     11586.86816 on epoch:    16, epoch:   16/50, mu: 0.7646604180, learning_rate: 0.0000743642, weight_decay: 0.0001331272

epoch time: 2245.5036621094s, input_fired_time: 21.4198799133, output_fired_time: 9.3830518723, propagate_forward_time: 887.0574951172, propagate_backward_time: 1310.4302978516, weight_update_time: 0.5786603689, other_time: 17.2128906250
epoch time: 195.9994506836s, input_fired_time: 1.7889994383, output_fired_time: 0.0000000000, propagate_forward_time: 191.1044616699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1059875488
validation[          , genome  6218] predictions:    6019/  10000 (60.19%), best:    5994/10000 (59.94%), error:     11655.12012, best error:     11586.86816 on epoch:    16, epoch:   17/50, mu: 0.7754443884, learning_rate: 0.0000682105, weight_decay: 0.0001228978

epoch time: 2252.0207519531s, input_fired_time: 21.5531101227, output_fired_time: 9.4533052444, propagate_forward_time: 888.7011718750, propagate_backward_time: 1315.3356933594, weight_update_time: 0.5150287151, other_time: 16.9772949219
epoch time: 186.4299621582s, input_fired_time: 1.6314125061, output_fired_time: 0.0000000000, propagate_forward_time: 181.6798095703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1187438965
validation[          , genome  6218] predictions:    6038/  10000 (60.38%), best:    6038/10000 (60.38%), error:     11576.17676, best error:     11576.17676 on epoch:    18, epoch:   18/50, mu: 0.7857122421, learning_rate: 0.0000625660, weight_decay: 0.0001134543

epoch time: 2233.3181152344s, input_fired_time: 21.5542964935, output_fired_time: 9.3377428055, propagate_forward_time: 882.9300537109, propagate_backward_time: 1302.6441650391, weight_update_time: 0.5871297121, other_time: 16.8520507813
epoch time: 196.9246673584s, input_fired_time: 1.8183053732, output_fired_time: 0.0000000000, propagate_forward_time: 191.7725067139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3338623047
validation[          , genome  6218] predictions:    6030/  10000 (60.30%), best:    6038/10000 (60.38%), error:     11610.33301, best error:     11576.17676 on epoch:    18, epoch:   19/50, mu: 0.7954887152, learning_rate: 0.0000573885, weight_decay: 0.0001047365

epoch time: 2167.2163085938s, input_fired_time: 20.6442699432, output_fired_time: 9.3328075409, propagate_forward_time: 855.1781616211, propagate_backward_time: 1265.3834228516, weight_update_time: 0.5161689520, other_time: 16.6776123047
epoch time: 185.0285491943s, input_fired_time: 1.7514823675, output_fired_time: 0.0000000000, propagate_forward_time: 180.1170043945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1600646973
validation[          , genome  6218] predictions:    5989/  10000 (59.89%), best:    6038/10000 (60.38%), error:     11646.37598, best error:     11576.17676 on epoch:    18, epoch:   20/50, mu: 0.8047973514, learning_rate: 0.0000526396, weight_decay: 0.0000966886

epoch time: 2237.8923339844s, input_fired_time: 20.9572219849, output_fired_time: 9.4387092590, propagate_forward_time: 885.8416748047, propagate_backward_time: 1303.8287353516, weight_update_time: 0.5437780023, other_time: 17.8259277344
epoch time: 198.0847015381s, input_fired_time: 1.6953173876, output_fired_time: 0.0000000000, propagate_forward_time: 193.3135528564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0758361816
validation[          , genome  6218] predictions:    6149/  10000 (61.49%), best:    6149/10000 (61.49%), error:     11339.59766, best error:     11339.59766 on epoch:    21, epoch:   21/50, mu: 0.8136605024, learning_rate: 0.0000482836, weight_decay: 0.0000892591

epoch time: 2269.9199218750s, input_fired_time: 21.8757743835, output_fired_time: 9.4331302643, propagate_forward_time: 896.9890747070, propagate_backward_time: 1324.1682128906, weight_update_time: 0.5386158824, other_time: 17.4538574219
epoch time: 174.5703887939s, input_fired_time: 1.4708276987, output_fired_time: 0.0000000000, propagate_forward_time: 170.1096496582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9899139404
validation[          , genome  6218] predictions:    6104/  10000 (61.04%), best:    6149/10000 (61.49%), error:     11422.85840, best error:     11339.59766 on epoch:    21, epoch:   22/50, mu: 0.8220995069, learning_rate: 0.0000442880, weight_decay: 0.0000824004

epoch time: 2197.2575683594s, input_fired_time: 20.8434658051, output_fired_time: 9.1939516068, propagate_forward_time: 868.3860473633, propagate_backward_time: 1281.8562011719, weight_update_time: 0.5374713540, other_time: 16.9780273438
epoch time: 180.4017333984s, input_fired_time: 1.5495806932, output_fired_time: 0.0000000000, propagate_forward_time: 175.7900543213, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0621032715
validation[          , genome  6218] predictions:    6216/  10000 (62.16%), best:    6216/10000 (62.16%), error:     11259.64648, best error:     11259.64648 on epoch:    23, epoch:   23/50, mu: 0.8301346302, learning_rate: 0.0000406231, weight_decay: 0.0000760688

epoch time: 2161.8178710938s, input_fired_time: 20.6281795502, output_fired_time: 9.0649137497, propagate_forward_time: 854.1721191406, propagate_backward_time: 1260.4291992188, weight_update_time: 0.5560380816, other_time: 17.5234375000
epoch time: 188.3148803711s, input_fired_time: 1.7846968174, output_fired_time: 0.0000000000, propagate_forward_time: 183.4276275635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1025543213
validation[          , genome  6218] predictions:    6314/  10000 (63.14%), best:    6314/10000 (63.14%), error:     10927.18066, best error:     10927.18066 on epoch:    24, epoch:   24/50, mu: 0.8377852440, learning_rate: 0.0000372615, weight_decay: 0.0000702237

epoch time: 2313.2570800781s, input_fired_time: 22.1845626831, output_fired_time: 9.7197227478, propagate_forward_time: 915.5670166016, propagate_backward_time: 1347.7318115234, weight_update_time: 0.5286322236, other_time: 18.0539550781
epoch time: 191.0118103027s, input_fired_time: 1.6426864862, output_fired_time: 0.0000000000, propagate_forward_time: 184.2121276855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1569976807
validation[          , genome  6218] predictions:    6046/  10000 (60.46%), best:    6314/10000 (63.14%), error:     11525.67090, best error:     10927.18066 on epoch:    24, epoch:   25/50, mu: 0.8450697064, learning_rate: 0.0000341781, weight_decay: 0.0000648277

epoch time: 2295.8818359375s, input_fired_time: 22.0747089386, output_fired_time: 9.4890880585, propagate_forward_time: 925.5417480469, propagate_backward_time: 1265.5349121094, weight_update_time: 0.5302281380, other_time: 73.2414550781
epoch time: 184.4872131348s, input_fired_time: 1.6685315371, output_fired_time: 0.0000000000, propagate_forward_time: 177.1279754639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6907043457
validation[          , genome  6218] predictions:    6192/  10000 (61.92%), best:    6314/10000 (63.14%), error:     11270.91992, best error:     10927.18066 on epoch:    24, epoch:   26/50, mu: 0.8520055413, learning_rate: 0.0000313498, weight_decay: 0.0000598464

epoch time: 2265.5932617188s, input_fired_time: 21.6334114075, output_fired_time: 9.2019729614, propagate_forward_time: 904.9505615234, propagate_backward_time: 1258.3477783203, weight_update_time: 0.5350837708, other_time: 71.4597167969
epoch time: 188.5486755371s, input_fired_time: 1.5124059916, output_fired_time: 0.0000000000, propagate_forward_time: 180.2438049316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7924652100
validation[          , genome  6218] predictions:    6112/  10000 (61.12%), best:    6314/10000 (63.14%), error:     11480.66211, best error:     10927.18066 on epoch:    24, epoch:   27/50, mu: 0.8586094379, learning_rate: 0.0000287555, weight_decay: 0.0000552478

epoch time: 2216.5576171875s, input_fired_time: 21.2080039978, output_fired_time: 9.1915102005, propagate_forward_time: 892.4613647461, propagate_backward_time: 1252.1651611328, weight_update_time: 0.5577575564, other_time: 41.5316162109
epoch time: 188.5098724365s, input_fired_time: 1.5799539089, output_fired_time: 0.0000000000, propagate_forward_time: 182.8279571533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1019592285
validation[          , genome  6218] predictions:    6292/  10000 (62.92%), best:    6292/10000 (62.92%), error:     10851.21973, best error:     10851.21973 on epoch:    28, epoch:   28/50, mu: 0.8648973107, learning_rate: 0.0000263760, weight_decay: 0.0000510026

epoch time: 2194.0200195313s, input_fired_time: 20.4747257233, output_fired_time: 8.9183654785, propagate_forward_time: 856.4484252930, propagate_backward_time: 1244.9503173828, weight_update_time: 0.5338075161, other_time: 63.2281494141
epoch time: 174.4105834961s, input_fired_time: 1.4921638966, output_fired_time: 0.0000000000, propagate_forward_time: 168.0771484375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8412780762
validation[          , genome  6218] predictions:    6266/  10000 (62.66%), best:    6292/10000 (62.92%), error:     11029.07813, best error:     10851.21973 on epoch:    28, epoch:   29/50, mu: 0.8708842993, learning_rate: 0.0000241933, weight_decay: 0.0000470836

epoch time: 2142.8654785156s, input_fired_time: 19.7570095062, output_fired_time: 8.7836656570, propagate_forward_time: 834.5291137695, propagate_backward_time: 1227.7464599609, weight_update_time: 0.5037327409, other_time: 52.0491943359
epoch time: 175.8764953613s, input_fired_time: 1.4811621904, output_fired_time: 0.0000000000, propagate_forward_time: 166.8473663330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5479736328
validation[          , genome  6218] predictions:    6369/  10000 (63.69%), best:    6369/10000 (63.69%), error:     10779.50781, best error:     10779.50781 on epoch:    30, epoch:   30/50, mu: 0.8765847683, learning_rate: 0.0000221913, weight_decay: 0.0000434657

epoch time: 2263.7824707031s, input_fired_time: 21.3991775513, output_fired_time: 9.1226072311, propagate_forward_time: 885.8630371094, propagate_backward_time: 1264.6663818359, weight_update_time: 0.5494698286, other_time: 82.7313232422
epoch time: 185.8969268799s, input_fired_time: 1.5488106012, output_fired_time: 0.0000000000, propagate_forward_time: 180.0614776611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2866363525
validation[          , genome  6218] predictions:    6206/  10000 (62.06%), best:    6369/10000 (63.69%), error:     11097.67871, best error:     10779.50781 on epoch:    30, epoch:   31/50, mu: 0.8820124269, learning_rate: 0.0000203549, weight_decay: 0.0000401258

epoch time: 2270.7092285156s, input_fired_time: 21.6251068115, output_fired_time: 9.1495313644, propagate_forward_time: 901.6145019531, propagate_backward_time: 1275.6060791016, weight_update_time: 0.5811660886, other_time: 62.7142333984
epoch time: 191.9686279297s, input_fired_time: 1.6251959801, output_fired_time: 0.0000000000, propagate_forward_time: 181.3965148926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.9469146729
validation[          , genome  6218] predictions:    6397/  10000 (63.97%), best:    6397/10000 (63.97%), error:     10732.62500, best error:     10732.62500 on epoch:    32, epoch:   32/50, mu: 0.8871803284, learning_rate: 0.0000186705, weight_decay: 0.0000370425

epoch time: 2276.3566894531s, input_fired_time: 21.5709495544, output_fired_time: 9.1650867462, propagate_forward_time: 894.4216308594, propagate_backward_time: 1267.2647705078, weight_update_time: 0.5728089213, other_time: 83.9342041016
epoch time: 176.1122283936s, input_fired_time: 1.5657628775, output_fired_time: 0.0000000000, propagate_forward_time: 169.3752746582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1711883545
validation[          , genome  6218] predictions:    6367/  10000 (63.67%), best:    6397/10000 (63.97%), error:     10764.23145, best error:     10732.62500 on epoch:    32, epoch:   33/50, mu: 0.8921009302, learning_rate: 0.0000171255, weight_decay: 0.0000341962

epoch time: 2179.7685546875s, input_fired_time: 20.2938785553, output_fired_time: 8.9647769928, propagate_forward_time: 840.7614746094, propagate_backward_time: 1242.0450439453, weight_update_time: 0.5843085647, other_time: 67.7032470703
epoch time: 178.3348236084s, input_fired_time: 1.5442975760, output_fired_time: 0.0000000000, propagate_forward_time: 170.8426971436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9478302002
validation[          , genome  6218] predictions:    6259/  10000 (62.59%), best:    6397/10000 (63.97%), error:     10954.62695, best error:     10732.62500 on epoch:    32, epoch:   34/50, mu: 0.8967860341, learning_rate: 0.0000157084, weight_decay: 0.0000315686

epoch time: 2172.9726562500s, input_fired_time: 20.3549079895, output_fired_time: 8.9214963913, propagate_forward_time: 848.1675415039, propagate_backward_time: 1245.1406250000, weight_update_time: 0.5785608888, other_time: 50.3881835938
epoch time: 175.9623107910s, input_fired_time: 1.5244415998, output_fired_time: 0.0000000000, propagate_forward_time: 170.4716949463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9661712646
validation[          , genome  6218] predictions:    6353/  10000 (63.53%), best:    6397/10000 (63.97%), error:     10801.39453, best error:     10732.62500 on epoch:    32, epoch:   35/50, mu: 0.9012469053, learning_rate: 0.0000144085, weight_decay: 0.0000291428

epoch time: 2198.7097167969s, input_fired_time: 20.5045509338, output_fired_time: 9.0429086685, propagate_forward_time: 845.5515136719, propagate_backward_time: 1246.6934814453, weight_update_time: 0.5884396434, other_time: 76.9171142578
epoch time: 176.1522827148s, input_fired_time: 1.5264536142, output_fired_time: 0.0000000000, propagate_forward_time: 169.8790893555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7467346191
validation[          , genome  6218] predictions:    6377/  10000 (63.77%), best:    6377/10000 (63.77%), error:     10659.48633, best error:     10659.48633 on epoch:    36, epoch:   36/50, mu: 0.9054943323, learning_rate: 0.0000132162, weight_decay: 0.0000269035

epoch time: 2188.2133789063s, input_fired_time: 20.3612174988, output_fired_time: 8.8655881882, propagate_forward_time: 844.3425292969, propagate_backward_time: 1245.6904296875, weight_update_time: 0.6328455210, other_time: 68.9536132813
epoch time: 177.5462493896s, input_fired_time: 1.5634922981, output_fired_time: 0.0000000000, propagate_forward_time: 171.3661651611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6165924072
validation[          , genome  6218] predictions:    6230/  10000 (62.30%), best:    6377/10000 (63.77%), error:     11020.63672, best error:     10659.48633 on epoch:    36, epoch:   37/50, mu: 0.9095384479, learning_rate: 0.0000121225, weight_decay: 0.0000248363

epoch time: 2161.1999511719s, input_fired_time: 20.1972980499, output_fired_time: 8.8969545364, propagate_forward_time: 842.9922485352, propagate_backward_time: 1232.7866210938, weight_update_time: 0.5708332062, other_time: 56.3269042969
epoch time: 178.2189025879s, input_fired_time: 1.5719400644, output_fired_time: 0.0000000000, propagate_forward_time: 172.7093811035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9375762939
validation[          , genome  6218] predictions:    6438/  10000 (64.38%), best:    6438/10000 (64.38%), error:     10589.01953, best error:     10589.01953 on epoch:    38, epoch:   38/50, mu: 0.9133890271, learning_rate: 0.0000111193, weight_decay: 0.0000229278

epoch time: 2150.1623535156s, input_fired_time: 20.4617919922, output_fired_time: 8.9777050018, propagate_forward_time: 850.4844360352, propagate_backward_time: 1244.2679443359, weight_update_time: 0.5775607228, other_time: 25.9705810547
epoch time: 176.2174072266s, input_fired_time: 1.5534017086, output_fired_time: 0.0000000000, propagate_forward_time: 170.9365692139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7274322510
validation[          , genome  6218] predictions:    6366/  10000 (63.66%), best:    6438/10000 (64.38%), error:     10601.50879, best error:     10589.01953 on epoch:    38, epoch:   39/50, mu: 0.9170553684, learning_rate: 0.0000101992, weight_decay: 0.0000211661

epoch time: 2177.6181640625s, input_fired_time: 20.1384754181, output_fired_time: 8.9556131363, propagate_forward_time: 836.9038085938, propagate_backward_time: 1231.1617431641, weight_update_time: 0.5866309404, other_time: 80.4586181641
epoch time: 176.4906921387s, input_fired_time: 1.5748544931, output_fired_time: 0.0000000000, propagate_forward_time: 170.9779663086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9378662109
validation[          , genome  6218] predictions:    6411/  10000 (64.11%), best:    6438/10000 (64.38%), error:     10635.08301, best error:     10589.01953 on epoch:    38, epoch:   40/50, mu: 0.9205462337, learning_rate: 0.0000093552, weight_decay: 0.0000195397

epoch time: 2139.3791503906s, input_fired_time: 20.1059951782, output_fired_time: 8.8587484360, propagate_forward_time: 837.5341186523, propagate_backward_time: 1230.3148193359, weight_update_time: 0.5648738146, other_time: 42.5655517578
epoch time: 176.2080230713s, input_fired_time: 1.5266599655, output_fired_time: 0.0000000000, propagate_forward_time: 170.9060516357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7753143311
validation[          , genome  6218] predictions:    6268/  10000 (62.68%), best:    6438/10000 (64.38%), error:     11157.24316, best error:     10589.01953 on epoch:    38, epoch:   41/50, mu: 0.9238700271, learning_rate: 0.0000085811, weight_decay: 0.0000180383

epoch time: 2175.0646972656s, input_fired_time: 20.5981979370, output_fired_time: 9.0633029938, propagate_forward_time: 851.1387329102, propagate_backward_time: 1248.4953613281, weight_update_time: 0.5758879185, other_time: 45.7692871094
epoch time: 177.5645446777s, input_fired_time: 1.5488916636, output_fired_time: 0.0000000000, propagate_forward_time: 172.0606842041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9549713135
validation[          , genome  6218] predictions:    6327/  10000 (63.27%), best:    6438/10000 (64.38%), error:     10727.47754, best error:     10589.01953 on epoch:    38, epoch:   42/50, mu: 0.9270347953, learning_rate: 0.0000078710, weight_decay: 0.0000166522

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_1542495604_178_6218.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_178_6218_1_r1564196611_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: 0.496146
read mu: 0.930048
read mu_delta: 0.952144
read initial_learning_rate: 0.00029619
read learning_rate: 7.21962e-06
read learning_rate_delta: 0.917249
read initial_weight_decay: 0.000478446
read weight_decay: 1.53726e-05
read weight_decay_delta: 0.92316
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0855808
read input_dropout_probability: 0.00110452
read hidden_dropout_probability: 0.112286
read velocity_reset: 2149
read epoch: 43
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 38
read number_validation_images: 10000
read best_validation_predictions: 6438
read best_validation_error: 10589
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: 6218
read normal distribution: '1 0 0'
generator_str: '518744663'
read generator: 518744663
read generated_by_map:
1 disable_edge 1
reading 108 nodes.
reading 566 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: 2194.3818359375s, input_fired_time: 20.5058517456055, output_fired_time: 8.99851703643799, propagate_forward_time: 843.652587890625, propagate_backward_time: 1243.10229492188, weight_update_time: 0.585563957691193, other_time: 78.12255859375
epoch time: 176.170379638672s, input_fired_time: 1.53598761558533, output_fired_time: 0, propagate_forward_time: 170.651382446289, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.98301696777344
validation[          , genome  6218] predictions:    6380/  10000 (63.80%), best:    6380/10000 (63.80%), error:     10581.10742, best error:     10581.10742 on epoch:    43, epoch:   43/50, mu: 0.9300481081, learning_rate: 0.0000072196, weight_decay: 0.0000153726

epoch time: 2160.0747070313s, input_fired_time: 20.3208866119, output_fired_time: 8.9769697189, propagate_forward_time: 846.7272338867, propagate_backward_time: 1246.4656982422, weight_update_time: 0.5728421807, other_time: 37.5838623047
epoch time: 175.2041931152s, input_fired_time: 1.5527757406, output_fired_time: 0.0000000000, propagate_forward_time: 169.5031890869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1482238770
validation[          , genome  6218] predictions:    6464/  10000 (64.64%), best:    6464/10000 (64.64%), error:     10394.44238, best error:     10394.44238 on epoch:    44, epoch:   44/50, mu: 0.9329171777, learning_rate: 0.0000066222, weight_decay: 0.0000141914

epoch time: 2167.2832031250s, input_fired_time: 20.4302139282, output_fired_time: 8.9388923645, propagate_forward_time: 848.5696411133, propagate_backward_time: 1252.2398681641, weight_update_time: 0.5758910775, other_time: 37.1046142578
epoch time: 176.4758911133s, input_fired_time: 1.5570094585, output_fired_time: 0.0000000000, propagate_forward_time: 171.1010589600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8178253174
validation[          , genome  6218] predictions:    6437/  10000 (64.37%), best:    6464/10000 (64.64%), error:     10507.95703, best error:     10394.44238 on epoch:    44, epoch:   45/50, mu: 0.9356489778, learning_rate: 0.0000060742, weight_decay: 0.0000131010

epoch time: 2191.0915527344s, input_fired_time: 20.9051151276, output_fired_time: 9.0181856155, propagate_forward_time: 855.2235107422, propagate_backward_time: 1246.8676757813, weight_update_time: 0.5450891852, other_time: 59.0772705078
epoch time: 189.1380157471s, input_fired_time: 1.6519466639, output_fired_time: 0.0000000000, propagate_forward_time: 183.5262451172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9598236084
validation[          , genome  6218] predictions:    6443/  10000 (64.43%), best:    6464/10000 (64.64%), error:     10535.05957, best error:     10394.44238 on epoch:    44, epoch:   46/50, mu: 0.9382500052, learning_rate: 0.0000055715, weight_decay: 0.0000120943

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_1542495604_178_6218.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_178_6218_1_r1564196611_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: 0.496146
read mu: 0.940727
read mu_delta: 0.952144
read initial_learning_rate: 0.00029619
read learning_rate: 5.11049e-06
read learning_rate_delta: 0.917249
read initial_weight_decay: 0.000478446
read weight_decay: 1.1165e-05
read weight_decay_delta: 0.92316
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0855808
read input_dropout_probability: 0.00110452
read hidden_dropout_probability: 0.112286
read velocity_reset: 2149
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 44
read number_validation_images: 10000
read best_validation_predictions: 6464
read best_validation_error: 10394.4
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: 6218
read normal distribution: '1 0 0'
generator_str: '775592085'
read generator: 775592085
read generated_by_map:
1 disable_edge 1
reading 108 nodes.
reading 566 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: 2152.8173828125s, input_fired_time: 19.9533023834229, output_fired_time: 8.71127986907959, propagate_forward_time: 889.119506835938, propagate_backward_time: 1200.96691894531, weight_update_time: 0.528831958770752, other_time: 34.06640625
epoch time: 186.136245727539s, input_fired_time: 1.53470802307129, output_fired_time: 0, propagate_forward_time: 180.754669189453, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.84686279296875
validation[          , genome  6218] predictions:    6448/  10000 (64.48%), best:    6464/10000 (64.64%), error:     10518.23828, best error:     10394.44238 on epoch:    44, epoch:   47/50, mu: 0.9407265782, learning_rate: 0.0000051105, weight_decay: 0.0000111650

epoch time: 2174.2009277344s, input_fired_time: 20.5413360596, output_fired_time: 8.7307767868, propagate_forward_time: 917.1890258789, propagate_backward_time: 1206.9019775391, weight_update_time: 0.5286967754, other_time: 20.8380126953
epoch time: 198.3448486328s, input_fired_time: 1.5637706518, output_fired_time: 0.0000000000, propagate_forward_time: 192.8316192627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9494628906
validation[          , genome  6218] predictions:    6475/  10000 (64.75%), best:    6464/10000 (64.64%), error:     10436.86816, best error:     10394.44238 on epoch:    44, epoch:   48/50, mu: 0.9430846572, learning_rate: 0.0000046876, weight_decay: 0.0000103070

epoch time: 2175.6489257813s, input_fired_time: 20.4291400909, output_fired_time: 8.7714300156, propagate_forward_time: 903.1049804688, propagate_backward_time: 1196.2309570313, weight_update_time: 0.5501078963, other_time: 47.1123046875
epoch time: 155.5935516357s, input_fired_time: 1.3591349125, output_fired_time: 0.0000000000, propagate_forward_time: 150.6655883789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5688323975
validation[          , genome  6218] predictions:    6432/  10000 (64.32%), best:    6464/10000 (64.64%), error:     10540.45996, best error:     10394.44238 on epoch:    44, epoch:   49/50, mu: 0.9453298450, learning_rate: 0.0000042997, weight_decay: 0.0000095151

epoch time: 1892.1005859375s, input_fired_time: 19.0242080688, output_fired_time: 7.7403831482, propagate_forward_time: 779.9685058594, propagate_backward_time: 1068.9333496094, weight_update_time: 0.4836010635, other_time: 16.4342041016
epoch time: 158.5130462646s, input_fired_time: 1.3908693790, output_fired_time: 0.0000000000, propagate_forward_time: 154.3812408447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7409362793
validation[          , genome  6218] predictions:    6511/  10000 (65.11%), best:    6511/10000 (65.11%), error:     10332.77734, best error:     10332.77734 on epoch:    50, epoch:   50/50, mu: 0.9474676251, learning_rate: 0.0000039439, weight_decay: 0.0000087839

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 715.2348022461s, input_fired_time: 6.4142613411, output_fired_time: 0.0000000000, propagate_forward_time: 692.0920410156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.7285156250
best training[          , genome  6218] predictions:   34571/  50000 (69.14%), best:    6511/10000 (65.11%), error:     47101.18359, best error:     10332.77734 on epoch:    50, epoch:   51/50, mu: 0.9495030642, learning_rate: 0.0000036175, weight_decay: 0.0000081090
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 133.9615478516s, input_fired_time: 1.2136636972, output_fired_time: 0.0000000000, propagate_forward_time: 129.0734252930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6744537354
   testing[          , genome  6218] predictions:    6511/  10000 (65.11%), best:    6511/10000 (65.11%), error:     10332.77734, best error:     10332.77734 on epoch:    50, epoch:   51/50, mu: 0.9495030642, learning_rate: 0.0000036175, weight_decay: 0.0000081090
backpropagation finished successfully!
15:17:17 (1492): called boinc_finish(0)

</stderr_txt>
]]>