Nameexact_genome_1542031203_166_5547_2
Workunit4080594
Created6 Dec 2018, 4:17:00 UTC
Sent6 Dec 2018, 4:17:09 UTC
Report deadline29 Dec 2018, 15:18:24 UTC
Received8 Dec 2018, 14:32:47 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID71624
Run time7 hours 0 min 29 sec
CPU time6 hours 51 min 36 sec
Validate stateValid
Credit5,864.80
Device peak FLOPS3.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</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_1542031203_166_5547.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_166_5547_2_r1019522657_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_166_5547.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
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: 5547
read normal distribution: '1 -0.540331840515137 -1.08199000358582'
generator_str: '1452313664'
read generator: 1452313664
read generated_by_map:
1 add_edge 1
reading 96 nodes.
reading 371 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: 736619046
post shuffle 1: 650850582
epoch time: 2254.35668945313s, input_fired_time: 16.0402393341064, output_fired_time: 11.8375854492188, propagate_forward_time: 630.612915039063, propagate_backward_time: 1565.79846191406, weight_update_time: 1.8901789188385, other_time: 30.0673828125
epoch time: 133.468826293945s, input_fired_time: 0.825028717517853, output_fired_time: 0, propagate_forward_time: 125.041389465332, propagate_backward_time: 0, weight_update_time: 0, other_time: 7.60240936279297
validation[          , genome  5547] predictions:    4975/  10000 (49.75%), best:    4975/10000 (49.75%), error:     17193.57813, best error:     17193.57813 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2247.6298828125s, input_fired_time: 21.0012302399, output_fired_time: 12.7715806961, propagate_forward_time: 664.8132934570, propagate_backward_time: 1533.9145507813, weight_update_time: 1.8737677336, other_time: 15.1293945313
epoch time: 133.4930572510s, input_fired_time: 0.8222777247, output_fired_time: 0.0000000000, propagate_forward_time: 127.0539855957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6167907715
validation[          , genome  5547] predictions:    4833/  10000 (48.33%), best:    4975/10000 (49.75%), error:     18954.74609, best error:     17193.57813 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2249.5869140625s, input_fired_time: 17.0219764709, output_fired_time: 16.6050472260, propagate_forward_time: 646.6759643555, propagate_backward_time: 1542.9921875000, weight_update_time: 2.8996529579, other_time: 26.2917480469
epoch time: 135.7911682129s, input_fired_time: 1.8390992880, output_fired_time: 0.0000000000, propagate_forward_time: 131.3576965332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5943756104
validation[          , genome  5547] predictions:    5155/  10000 (51.55%), best:    5155/10000 (51.55%), error:     17023.52930, best error:     17023.52930 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2251.9411621094s, input_fired_time: 30.1399288177, output_fired_time: 14.7954130173, propagate_forward_time: 644.9883422852, propagate_backward_time: 1540.7973632813, weight_update_time: 0.8887318969, other_time: 21.2202148438
epoch time: 135.0614166260s, input_fired_time: 0.8165679574, output_fired_time: 0.0000000000, propagate_forward_time: 130.6571655273, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5876770020
validation[          , genome  5547] predictions:    5071/  10000 (50.71%), best:    5155/10000 (51.55%), error:     17100.04297, best error:     17023.52930 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2252.1687011719s, input_fired_time: 17.9477310181, output_fired_time: 14.6941719055, propagate_forward_time: 642.2227783203, propagate_backward_time: 1557.0373535156, weight_update_time: 2.9072244167, other_time: 20.2667236328
epoch time: 133.8563842773s, input_fired_time: 3.7306571007, output_fired_time: 0.0000000000, propagate_forward_time: 128.5384368896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5872955322
validation[          , genome  5547] predictions:    5094/  10000 (50.94%), best:    5094/10000 (50.94%), error:     15786.49414, best error:     15786.49414 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2247.0163574219s, input_fired_time: 27.0268306732, output_fired_time: 18.6643142700, propagate_forward_time: 658.7507934570, propagate_backward_time: 1523.6226806641, weight_update_time: 2.8850309849, other_time: 18.9517822266
epoch time: 135.1457977295s, input_fired_time: 0.8127747774, output_fired_time: 0.0000000000, propagate_forward_time: 129.7111511230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6218719482
validation[          , genome  5547] predictions:    4891/  10000 (48.91%), best:    5094/10000 (50.94%), error:     18177.60352, best error:     15786.49414 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2245.0578613281s, input_fired_time: 20.0737953186, output_fired_time: 12.7973442078, propagate_forward_time: 650.1879882813, propagate_backward_time: 1536.8048095703, weight_update_time: 3.7905709743, other_time: 25.1939697266
epoch time: 133.9074554443s, input_fired_time: 0.8167625666, output_fired_time: 0.0000000000, propagate_forward_time: 129.4911193848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5995788574
validation[          , genome  5547] predictions:    5249/  10000 (52.49%), best:    5249/10000 (52.49%), error:     15260.34375, best error:     15260.34375 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2255.1428222656s, input_fired_time: 23.0402030945, output_fired_time: 18.7307643890, propagate_forward_time: 639.9991455078, propagate_backward_time: 1552.3287353516, weight_update_time: 0.8926306367, other_time: 21.0439453125
epoch time: 137.5951843262s, input_fired_time: 1.8266036510, output_fired_time: 0.0000000000, propagate_forward_time: 134.1247100830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6438751221
validation[          , genome  5547] predictions:    5137/  10000 (51.37%), best:    5249/10000 (52.49%), error:     16521.99414, best error:     15260.34375 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2254.0554199219s, input_fired_time: 14.0162677765, output_fired_time: 13.8550233841, propagate_forward_time: 652.5236816406, propagate_backward_time: 1549.3491210938, weight_update_time: 4.8942370415, other_time: 24.3112792969
epoch time: 135.1345062256s, input_fired_time: 0.8072566390, output_fired_time: 0.0000000000, propagate_forward_time: 131.7198028564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6074523926
validation[          , genome  5547] predictions:    5343/  10000 (53.43%), best:    5343/10000 (53.43%), error:     15080.66211, best error:     15080.66211 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2249.9621582031s, input_fired_time: 24.9514350891, output_fired_time: 13.8528614044, propagate_forward_time: 627.5700683594, propagate_backward_time: 1553.3421630859, weight_update_time: 3.8211207390, other_time: 30.2457275391
epoch time: 136.5128479004s, input_fired_time: 0.8316562176, output_fired_time: 0.0000000000, propagate_forward_time: 131.1810607910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5001373291
validation[          , genome  5547] predictions:    5543/  10000 (55.43%), best:    5543/10000 (55.43%), error:     13810.15625, best error:     13810.15625 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2245.3981933594s, input_fired_time: 20.9253997803, output_fired_time: 10.9476909637, propagate_forward_time: 639.0581054688, propagate_backward_time: 1543.0806884766, weight_update_time: 2.9055781364, other_time: 31.3863525391
epoch time: 134.7433471680s, input_fired_time: 0.8002504110, output_fired_time: 0.0000000000, propagate_forward_time: 131.3789062500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5641937256
validation[          , genome  5547] predictions:    5466/  10000 (54.66%), best:    5543/10000 (55.43%), error:     14266.91406, best error:     13810.15625 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2296.7202148438s, input_fired_time: 13.2367572784, output_fired_time: 23.2260608673, propagate_forward_time: 635.8496093750, propagate_backward_time: 1607.7563476563, weight_update_time: 0.9093902111, other_time: 16.6513671875
epoch time: 139.9567260742s, input_fired_time: 4.8984622955, output_fired_time: 0.0000000000, propagate_forward_time: 132.2834167480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7748413086
validation[          , genome  5547] predictions:    5320/  10000 (53.20%), best:    5543/10000 (55.43%), error:     15220.60156, best error:     13810.15625 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2270.3950195313s, input_fired_time: 17.0325431824, output_fired_time: 15.0349884033, propagate_forward_time: 638.7407836914, propagate_backward_time: 1571.0426025391, weight_update_time: 2.9063203335, other_time: 28.5443115234
epoch time: 135.1291656494s, input_fired_time: 0.8227244020, output_fired_time: 0.0000000000, propagate_forward_time: 129.6922454834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6141967773
validation[          , genome  5547] predictions:    5321/  10000 (53.21%), best:    5543/10000 (55.43%), error:     14781.58691, best error:     13810.15625 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2254.3332519531s, input_fired_time: 21.1332187653, output_fired_time: 15.9394464493, propagate_forward_time: 636.8050537109, propagate_backward_time: 1560.2413330078, weight_update_time: 1.7966715097, other_time: 20.2141113281
epoch time: 135.1562347412s, input_fired_time: 0.8108094335, output_fired_time: 0.0000000000, propagate_forward_time: 127.6932830811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6521453857
validation[          , genome  5547] predictions:    5324/  10000 (53.24%), best:    5543/10000 (55.43%), error:     14643.81152, best error:     13810.15625 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2256.8979492188s, input_fired_time: 29.0616989136, output_fired_time: 17.0515766144, propagate_forward_time: 647.0557250977, propagate_backward_time: 1548.5131835938, weight_update_time: 0.8858724833, other_time: 15.2158203125
epoch time: 132.7538452148s, input_fired_time: 1.7343214750, output_fired_time: 0.0000000000, propagate_forward_time: 129.4292449951, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5902862549
validation[          , genome  5547] predictions:    5655/  10000 (56.55%), best:    5655/10000 (56.55%), error:     13666.76465, best error:     13666.76465 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2258.3439941406s, input_fired_time: 19.1020431519, output_fired_time: 12.9782476425, propagate_forward_time: 635.8726196289, propagate_backward_time: 1567.1350097656, weight_update_time: 1.9054353237, other_time: 23.2561035156
epoch time: 134.3439636230s, input_fired_time: 0.8343634605, output_fired_time: 0.0000000000, propagate_forward_time: 131.9081878662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6014099121
validation[          , genome  5547] predictions:    5482/  10000 (54.82%), best:    5655/10000 (56.55%), error:     14311.61230, best error:     13666.76465 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2265.2937011719s, input_fired_time: 17.0960388184, output_fired_time: 14.9713668823, propagate_forward_time: 635.7085571289, propagate_backward_time: 1583.1958007813, weight_update_time: 0.8944665194, other_time: 14.3220214844
epoch time: 134.8196258545s, input_fired_time: 1.8309173584, output_fired_time: 0.0000000000, propagate_forward_time: 128.3494110107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6392974854
validation[          , genome  5547] predictions:    5296/  10000 (52.96%), best:    5655/10000 (56.55%), error:     15103.58398, best error:     13666.76465 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2259.0048828125s, input_fired_time: 20.0734825134, output_fired_time: 9.6747455597, propagate_forward_time: 627.5700683594, propagate_backward_time: 1569.3891601563, weight_update_time: 2.8844060898, other_time: 32.2973632813
epoch time: 132.4615783691s, input_fired_time: 0.8043834567, output_fired_time: 0.0000000000, propagate_forward_time: 128.0682983398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5888977051
validation[          , genome  5547] predictions:    5487/  10000 (54.87%), best:    5655/10000 (56.55%), error:     13939.94629, best error:     13666.76465 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2255.1799316406s, input_fired_time: 23.1270503998, output_fired_time: 9.9841613770, propagate_forward_time: 633.7846679688, propagate_backward_time: 1563.0897216797, weight_update_time: 1.8814655542, other_time: 25.1944580078
epoch time: 132.2265167236s, input_fired_time: 1.8266205788, output_fired_time: 0.0000000000, propagate_forward_time: 125.7935028076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6063995361
validation[          , genome  5547] predictions:    5588/  10000 (55.88%), best:    5655/10000 (56.55%), error:     14297.48145, best error:     13666.76465 on epoch:    14, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2255.1804199219s, input_fired_time: 16.8027725220, output_fired_time: 19.1015930176, propagate_forward_time: 648.6773681641, propagate_backward_time: 1550.2918701172, weight_update_time: 2.9070525169, other_time: 20.3068847656
epoch time: 135.1917877197s, input_fired_time: 3.8372163773, output_fired_time: 0.0000000000, propagate_forward_time: 127.7538909912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6006774902
validation[          , genome  5547] predictions:    5537/  10000 (55.37%), best:    5655/10000 (56.55%), error:     14054.66016, best error:     13666.76465 on epoch:    14, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2262.4926757813s, input_fired_time: 17.0352401733, output_fired_time: 17.9541320801, propagate_forward_time: 647.2116088867, propagate_backward_time: 1554.9368896484, weight_update_time: 1.8951035738, other_time: 25.3548583984
epoch time: 135.2752990723s, input_fired_time: 0.8258384466, output_fired_time: 0.0000000000, propagate_forward_time: 131.8337554932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6157073975
validation[          , genome  5547] predictions:    5458/  10000 (54.58%), best:    5655/10000 (56.55%), error:     14366.35449, best error:     13666.76465 on epoch:    14, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2262.6147460938s, input_fired_time: 15.0654354095, output_fired_time: 13.0417251587, propagate_forward_time: 653.4539184570, propagate_backward_time: 1555.7402343750, weight_update_time: 4.9173316956, other_time: 25.3134765625
epoch time: 135.1745147705s, input_fired_time: 4.8574204445, output_fired_time: 0.0000000000, propagate_forward_time: 126.6646194458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6524734497
validation[          , genome  5547] predictions:    5534/  10000 (55.34%), best:    5655/10000 (56.55%), error:     14280.93066, best error:     13666.76465 on epoch:    14, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2260.7546386719s, input_fired_time: 24.2644500732, output_fired_time: 14.0311555862, propagate_forward_time: 661.0848999023, propagate_backward_time: 1535.2399902344, weight_update_time: 0.8831526041, other_time: 26.1340332031
epoch time: 135.1186065674s, input_fired_time: 2.8627831936, output_fired_time: 0.0000000000, propagate_forward_time: 123.7390365601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5167922974
validation[          , genome  5547] predictions:    5688/  10000 (56.88%), best:    5688/10000 (56.88%), error:     13612.79004, best error:     13612.79004 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

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_1542031203_166_5547.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_166_5547_2_r1019522657_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 5688
read best_validation_error: 13612.8
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: 5547
read normal distribution: '1 -0.540331840515137 -1.08199000358582'
generator_str: '1521092010'
read generator: 1521092010
read generated_by_map:
1 add_edge 1
reading 96 nodes.
reading 371 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: 2491.7587890625s, input_fired_time: 17.4060974121094, output_fired_time: 10.2653484344482, propagate_forward_time: 698.964538574219, propagate_backward_time: 1735.23657226563, weight_update_time: 1.90238893032074, other_time: 29.88623046875
epoch time: 135.100463867188s, input_fired_time: 0.851422846317291, output_fired_time: 0, propagate_forward_time: 130.459930419922, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.78910827636719
validation[          , genome  5547] predictions:    5535/  10000 (55.35%), best:    5688/10000 (56.88%), error:     13952.33496, best error:     13612.79004 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2247.5314941406s, input_fired_time: 20.2648792267, output_fired_time: 9.8980836868, propagate_forward_time: 617.6095581055, propagate_backward_time: 1576.4562988281, weight_update_time: 1.8535174131, other_time: 23.3024902344
epoch time: 130.5125427246s, input_fired_time: 1.8284401894, output_fired_time: 0.0000000000, propagate_forward_time: 127.0148925781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6692047119
validation[          , genome  5547] predictions:    5724/  10000 (57.24%), best:    5724/10000 (57.24%), error:     13504.34277, best error:     13504.34277 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2169.7138671875s, input_fired_time: 31.0310935974, output_fired_time: 14.6199655533, propagate_forward_time: 604.2765502930, propagate_backward_time: 1500.7408447266, weight_update_time: 3.8709843159, other_time: 19.0455322266
epoch time: 132.4575347900s, input_fired_time: 0.8224432468, output_fired_time: 0.0000000000, propagate_forward_time: 128.0486907959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5863952637
validation[          , genome  5547] predictions:    5726/  10000 (57.26%), best:    5724/10000 (57.24%), error:     13837.64648, best error:     13504.34277 on epoch:    24, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 655.2119750977s, input_fired_time: 6.1289329529, output_fired_time: 0.0000000000, propagate_forward_time: 629.9608154297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 19.1222534180
best training[          , genome  5547] predictions:   32288/  50000 (64.58%), best:    5724/10000 (57.24%), error:     52435.74609, best error:     13504.34277 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 130.4536132813s, input_fired_time: 1.8249326944, output_fired_time: 0.0000000000, propagate_forward_time: 123.8788681030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7498092651
   testing[          , genome  5547] predictions:    5724/  10000 (57.24%), best:    5724/10000 (57.24%), error:     13504.34277, best error:     13504.34277 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
15:32:10 (16064): called boinc_finish(0)

</stderr_txt>
]]>