Nameexact_genome_1542303603_166_5993_0
Workunit4091340
Created15 Nov 2018, 19:53:06 UTC
Sent15 Nov 2018, 20:19:36 UTC
Report deadline3 Dec 2018, 11:04:14 UTC
Received16 Nov 2018, 17:19:15 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time8 hours 6 min 33 sec
CPU time8 hours 3 min 19 sec
Validate stateValid
Credit4,403.58
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size511.32 MB
Peak swap size509.88 MB
Peak disk usage9.63 MB

Stderr output

<core_client_version>7.12.1</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_1542303603_166_5993.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542303603_166_5993_0_r1860928479_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542303603_166_5993.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: 5993
read normal distribution: '0 -1.47408282756805 0.617515742778778'
generator_str: '938154774'
read generator: 938154774
read generated_by_map:
1 change_size 1
reading 81 nodes.
reading 308 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: 742350344
post shuffle 1: 1333943259
epoch time: 1020.00140380859s, input_fired_time: 7.25310516357422, output_fired_time: 7.01674222946167, propagate_forward_time: 385.649810791016, propagate_backward_time: 609.313171386719, weight_update_time: 1.18434715270996, other_time: 10.7686157226563
epoch time: 79.8532257080078s, input_fired_time: 0.909370243549347, output_fired_time: 0, propagate_forward_time: 77.0829010009766, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.86095428466797
validation[          , genome  5993] predictions:    4737/  10000 (47.37%), best:    4737/10000 (47.37%), error:     17496.52539, best error:     17496.52539 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1019.8683471680s, input_fired_time: 7.2175292969, output_fired_time: 6.9701652527, propagate_forward_time: 386.1354980469, propagate_backward_time: 608.7962036133, weight_update_time: 1.1813979149, other_time: 10.7489624023
epoch time: 79.9012374878s, input_fired_time: 0.8878540397, output_fired_time: 0.0000000000, propagate_forward_time: 77.1712188721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8421630859
validation[          , genome  5993] predictions:    4959/  10000 (49.59%), best:    4959/10000 (49.59%), error:     16638.01758, best error:     16638.01758 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1019.2640991211s, input_fired_time: 7.1772489548, output_fired_time: 6.9790148735, propagate_forward_time: 385.9122619629, propagate_backward_time: 608.4307861328, weight_update_time: 1.1869997978, other_time: 10.7647705078
epoch time: 79.8852920532s, input_fired_time: 0.8968241215, output_fired_time: 0.0000000000, propagate_forward_time: 77.1578063965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8306579590
validation[          , genome  5993] predictions:    4675/  10000 (46.75%), best:    4959/10000 (49.59%), error:     17323.48633, best error:     16638.01758 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1019.3455810547s, input_fired_time: 7.1476125717, output_fired_time: 6.9638953209, propagate_forward_time: 386.2170104980, propagate_backward_time: 608.2811889648, weight_update_time: 1.1784242392, other_time: 10.7359008789
epoch time: 79.4721145630s, input_fired_time: 0.8821675777, output_fired_time: 0.0000000000, propagate_forward_time: 76.7523727417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8375778198
validation[          , genome  5993] predictions:    5175/  10000 (51.75%), best:    5175/10000 (51.75%), error:     14823.38477, best error:     14823.38477 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1018.7843627930s, input_fired_time: 7.1769270897, output_fired_time: 6.9813504219, propagate_forward_time: 385.7892150879, propagate_backward_time: 608.0733032227, weight_update_time: 1.1819909811, other_time: 10.7636108398
epoch time: 79.8603057861s, input_fired_time: 0.8795052171, output_fired_time: 0.0000000000, propagate_forward_time: 77.1539993286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8267974854
validation[          , genome  5993] predictions:    4822/  10000 (48.22%), best:    5175/10000 (51.75%), error:     17582.27539, best error:     14823.38477 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1019.8527832031s, input_fired_time: 7.1668047905, output_fired_time: 6.9715080261, propagate_forward_time: 386.4226379395, propagate_backward_time: 608.5249023438, weight_update_time: 1.1965074539, other_time: 10.7669677734
epoch time: 79.9552993774s, input_fired_time: 0.8897022605, output_fired_time: 0.0000000000, propagate_forward_time: 77.2230072021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8425903320
validation[          , genome  5993] predictions:    5157/  10000 (51.57%), best:    5175/10000 (51.75%), error:     15050.69238, best error:     14823.38477 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1020.2430419922s, input_fired_time: 7.1503396034, output_fired_time: 6.9773159027, propagate_forward_time: 385.8904113770, propagate_backward_time: 609.4821166992, weight_update_time: 1.1830723286, other_time: 10.7428588867
epoch time: 79.9145126343s, input_fired_time: 0.8747747540, output_fired_time: 0.0000000000, propagate_forward_time: 77.1974258423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8423156738
validation[          , genome  5993] predictions:    5026/  10000 (50.26%), best:    5175/10000 (51.75%), error:     15978.09570, best error:     14823.38477 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1019.2440185547s, input_fired_time: 7.1430368423, output_fired_time: 7.0083131790, propagate_forward_time: 385.7232055664, propagate_backward_time: 608.5997314453, weight_update_time: 1.1918934584, other_time: 10.7697143555
epoch time: 79.8109588623s, input_fired_time: 0.8855301142, output_fired_time: 0.0000000000, propagate_forward_time: 77.0926666260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8327636719
validation[          , genome  5993] predictions:    5024/  10000 (50.24%), best:    5175/10000 (51.75%), error:     16053.18750, best error:     14823.38477 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1021.9388427734s, input_fired_time: 7.1791005135, output_fired_time: 7.0016908646, propagate_forward_time: 386.9618835449, propagate_backward_time: 610.0168457031, weight_update_time: 1.1880239248, other_time: 10.7792968750
epoch time: 82.1457595825s, input_fired_time: 0.9004940391, output_fired_time: 0.0000000000, propagate_forward_time: 79.3675765991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8776855469
validation[          , genome  5993] predictions:    4958/  10000 (49.58%), best:    5175/10000 (51.75%), error:     16240.14063, best error:     14823.38477 on epoch:     3, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1023.1672363281s, input_fired_time: 7.2150707245, output_fired_time: 6.9757342339, propagate_forward_time: 387.5200195313, propagate_backward_time: 610.6321411133, weight_update_time: 1.1890870333, other_time: 10.8242797852
epoch time: 79.8614196777s, input_fired_time: 0.8856654167, output_fired_time: 0.0000000000, propagate_forward_time: 77.1352920532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8404617310
validation[          , genome  5993] predictions:    4852/  10000 (48.52%), best:    5175/10000 (51.75%), error:     17094.46484, best error:     14823.38477 on epoch:     3, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1019.7088623047s, input_fired_time: 7.1718707085, output_fired_time: 6.9778180122, propagate_forward_time: 386.4110107422, propagate_backward_time: 608.4128417969, weight_update_time: 1.1764792204, other_time: 10.7352905273
epoch time: 79.7209548950s, input_fired_time: 0.8919358850, output_fired_time: 0.0000000000, propagate_forward_time: 76.9758987427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8531188965
validation[          , genome  5993] predictions:    5276/  10000 (52.76%), best:    5276/10000 (52.76%), error:     14727.09668, best error:     14727.09668 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1019.5274047852s, input_fired_time: 7.1969485283, output_fired_time: 6.9868364334, propagate_forward_time: 386.3203735352, propagate_backward_time: 608.2908325195, weight_update_time: 1.1855949163, other_time: 10.7324218750
epoch time: 79.5176162720s, input_fired_time: 0.8919169307, output_fired_time: 0.0000000000, propagate_forward_time: 76.8004531860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8252487183
validation[          , genome  5993] predictions:    5280/  10000 (52.80%), best:    5280/10000 (52.80%), error:     14648.19434, best error:     14648.19434 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1020.5482788086s, input_fired_time: 7.1974830627, output_fired_time: 6.9864068031, propagate_forward_time: 386.4663085938, propagate_backward_time: 609.1445922852, weight_update_time: 1.1860247850, other_time: 10.7534790039
epoch time: 79.7845687866s, input_fired_time: 0.8859624863, output_fired_time: 0.0000000000, propagate_forward_time: 77.0525512695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8460540771
validation[          , genome  5993] predictions:    5394/  10000 (53.94%), best:    5394/10000 (53.94%), error:     14345.67676, best error:     14345.67676 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1018.6014404297s, input_fired_time: 7.1879034042, output_fired_time: 6.9901576042, propagate_forward_time: 385.7449035645, propagate_backward_time: 607.9204101563, weight_update_time: 1.1920385361, other_time: 10.7580566406
epoch time: 79.8452301025s, input_fired_time: 0.8903936744, output_fired_time: 0.0000000000, propagate_forward_time: 77.1079330444, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8469009399
validation[          , genome  5993] predictions:    5278/  10000 (52.78%), best:    5394/10000 (53.94%), error:     14588.39941, best error:     14345.67676 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1019.9649047852s, input_fired_time: 7.2185058594, output_fired_time: 7.0039458275, propagate_forward_time: 386.6830139160, propagate_backward_time: 608.3311767578, weight_update_time: 1.1832675934, other_time: 10.7282714844
epoch time: 80.0172576904s, input_fired_time: 0.8776481152, output_fired_time: 0.0000000000, propagate_forward_time: 77.3027267456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8368835449
validation[          , genome  5993] predictions:    5339/  10000 (53.39%), best:    5394/10000 (53.94%), error:     14430.53027, best error:     14345.67676 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1019.6995239258s, input_fired_time: 7.1998524666, output_fired_time: 6.9838347435, propagate_forward_time: 385.8318481445, propagate_backward_time: 608.9383544922, weight_update_time: 1.1856536865, other_time: 10.7456665039
epoch time: 79.8004531860s, input_fired_time: 0.9010517597, output_fired_time: 0.0000000000, propagate_forward_time: 77.0518646240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8475341797
validation[          , genome  5993] predictions:    5163/  10000 (51.63%), best:    5394/10000 (53.94%), error:     15676.75977, best error:     14345.67676 on epoch:    12, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1019.6383056641s, input_fired_time: 7.2266936302, output_fired_time: 6.9623579979, propagate_forward_time: 386.6179809570, propagate_backward_time: 608.0663452148, weight_update_time: 1.1862558126, other_time: 10.7649536133
epoch time: 79.8638687134s, input_fired_time: 0.9013963342, output_fired_time: 0.0000000000, propagate_forward_time: 77.1331253052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8293457031
validation[          , genome  5993] predictions:    5177/  10000 (51.77%), best:    5394/10000 (53.94%), error:     14988.95996, best error:     14345.67676 on epoch:    12, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1019.2661132813s, input_fired_time: 7.2111725807, output_fired_time: 6.9683647156, propagate_forward_time: 385.7182617188, propagate_backward_time: 608.6353759766, weight_update_time: 1.1848071814, other_time: 10.7329101563
epoch time: 79.7523803711s, input_fired_time: 0.9023326039, output_fired_time: 0.0000000000, propagate_forward_time: 77.0176773071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8323669434
validation[          , genome  5993] predictions:    5422/  10000 (54.22%), best:    5422/10000 (54.22%), error:     14122.08496, best error:     14122.08496 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1019.5034790039s, input_fired_time: 7.2220015526, output_fired_time: 6.9805364609, propagate_forward_time: 386.1293029785, propagate_backward_time: 608.4398803711, weight_update_time: 1.1801987886, other_time: 10.7317504883
epoch time: 79.9397277832s, input_fired_time: 0.8972039819, output_fired_time: 0.0000000000, propagate_forward_time: 77.2227554321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8197708130
validation[          , genome  5993] predictions:    5434/  10000 (54.34%), best:    5434/10000 (54.34%), error:     13913.45508, best error:     13913.45508 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1019.2806396484s, input_fired_time: 7.2333607674, output_fired_time: 6.9953188896, propagate_forward_time: 385.3036804199, propagate_backward_time: 609.0247802734, weight_update_time: 1.1789692640, other_time: 10.7235107422
epoch time: 80.1264572144s, input_fired_time: 0.9208551049, output_fired_time: 0.0000000000, propagate_forward_time: 77.3748245239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8307800293
validation[          , genome  5993] predictions:    5508/  10000 (55.08%), best:    5508/10000 (55.08%), error:     13814.58398, best error:     13814.58398 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1019.2518310547s, input_fired_time: 7.2336473465, output_fired_time: 6.9665107727, propagate_forward_time: 385.6901855469, propagate_backward_time: 608.5943603516, weight_update_time: 1.1859828234, other_time: 10.7671508789
epoch time: 79.9423599243s, input_fired_time: 0.9045277834, output_fired_time: 0.0000000000, propagate_forward_time: 77.1634902954, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8743438721
validation[          , genome  5993] predictions:    5281/  10000 (52.81%), best:    5508/10000 (55.08%), error:     14960.51270, best error:     13814.58398 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1019.9956665039s, input_fired_time: 7.2884263992, output_fired_time: 7.0116233826, propagate_forward_time: 386.6373291016, propagate_backward_time: 608.2839965820, weight_update_time: 1.1901541948, other_time: 10.7742919922
epoch time: 79.6926879883s, input_fired_time: 0.9020136595, output_fired_time: 0.0000000000, propagate_forward_time: 76.9551620483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8355102539
validation[          , genome  5993] predictions:    5488/  10000 (54.88%), best:    5488/10000 (54.88%), error:     13678.34375, best error:     13678.34375 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1090.6066894531s, input_fired_time: 7.6416444778, output_fired_time: 7.7756915092, propagate_forward_time: 414.2322082520, propagate_backward_time: 649.6643066406, weight_update_time: 1.2531594038, other_time: 11.2929687500
epoch time: 84.3441696167s, input_fired_time: 0.9428371191, output_fired_time: 0.0000000000, propagate_forward_time: 81.4856185913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9157104492
validation[          , genome  5993] predictions:    5548/  10000 (55.48%), best:    5488/10000 (54.88%), error:     13741.26855, best error:     13678.34375 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1031.3028564453s, input_fired_time: 7.3417530060, output_fired_time: 7.1071147919, propagate_forward_time: 391.5751647949, propagate_backward_time: 614.4664306641, weight_update_time: 1.1968346834, other_time: 10.8123779297
epoch time: 80.0328292847s, input_fired_time: 0.9440380931, output_fired_time: 0.0000000000, propagate_forward_time: 77.2510833740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8377075195
validation[          , genome  5993] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13268.88281, best error:     13268.88281 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1024.3698730469s, input_fired_time: 7.3058381081, output_fired_time: 7.0174431801, propagate_forward_time: 388.2842102051, propagate_backward_time: 610.9805297852, weight_update_time: 1.1876465082, other_time: 10.7817993164
epoch time: 80.4411087036s, input_fired_time: 0.9024531841, output_fired_time: 0.0000000000, propagate_forward_time: 77.7123184204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8263397217
validation[          , genome  5993] predictions:    5379/  10000 (53.79%), best:    5623/10000 (56.23%), error:     14289.50977, best error:     13268.88281 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

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_1542303603_166_5993.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542303603_166_5993_0_r1860928479_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: 0.854079
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00346737
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000138695
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: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 23
read number_validation_images: 10000
read best_validation_predictions: 5623
read best_validation_error: 13268.9
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: 5993
read normal distribution: '0 -1.47408282756805 0.617515742778778'
generator_str: '405500790'
read generator: 405500790
read generated_by_map:
1 change_size 1
reading 81 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: 1030.03198242188s, input_fired_time: 7.37837505340576, output_fired_time: 7.1797080039978, propagate_forward_time: 395.066192626953, propagate_backward_time: 609.593872070313, weight_update_time: 1.20519232749939, other_time: 10.8138427734375
epoch time: 81.7705383300781s, input_fired_time: 0.919253528118134, output_fired_time: 0, propagate_forward_time: 79.0261306762695, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.82515716552734
validation[          , genome  5993] predictions:    5605/  10000 (56.05%), best:    5623/10000 (56.23%), error:     13690.69336, best error:     13268.88281 on epoch:    23, 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: 410.0862121582s, input_fired_time: 4.5902919769, output_fired_time: 0.0000000000, propagate_forward_time: 396.2411499023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.2547607422
best training[          , genome  5993] predictions:   31554/  50000 (63.11%), best:    5623/10000 (56.23%), error:     54110.78125, best error:     13268.88281 on epoch:    23, 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: 82.2087631226s, input_fired_time: 0.9202221632, output_fired_time: 0.0000000000, propagate_forward_time: 79.4437637329, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8447799683
   testing[          , genome  5993] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13268.88281, best error:     13268.88281 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
10:27:44 (19484): called boinc_finish(0)

</stderr_txt>
]]>