Nameexact_genome_1542649503_169_6307_1
Workunit4098823
Created19 Nov 2018, 21:07:37 UTC
Sent19 Nov 2018, 21:07:45 UTC
Report deadline15 Dec 2018, 8:02:26 UTC
Received20 Nov 2018, 9:04:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time10 hours 46 min 39 sec
CPU time10 hours 21 min 57 sec
Validate stateValid
Credit6,363.66
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size519.63 MB
Peak swap size518.13 MB
Peak disk usage12.02 MB

Stderr output

<core_client_version>7.4.42</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_1542649503_169_6307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307_1_r541145724_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307.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: 6307
read normal distribution: '1 0.109802149236202 -1.99365031719208'
generator_str: '1629417741'
read generator: 1629417741
read generated_by_map:
1 crossover 1
reading 106 nodes.
reading 396 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: 912506443
post shuffle 1: 2122126998
epoch time: 1334.19689941406s, input_fired_time: 10.7819862365723, output_fired_time: 8.70233821868896, propagate_forward_time: 487.530700683594, propagate_backward_time: 813.609252929688, weight_update_time: 1.47416079044342, other_time: 13.5725708007813
epoch time: 101.761123657227s, input_fired_time: 1.3645191192627, output_fired_time: 0, propagate_forward_time: 98.0237350463867, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.37287139892578
validation[          , genome  6307] predictions:    5237/  10000 (52.37%), best:    5237/10000 (52.37%), error:     17087.32031, best error:     17087.32031 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1345.2563476563s, input_fired_time: 10.7126331329, output_fired_time: 8.7161607742, propagate_forward_time: 491.2487792969, propagate_backward_time: 820.9756469727, weight_update_time: 1.4738045931, other_time: 13.6030883789
epoch time: 100.6651000977s, input_fired_time: 1.1997015476, output_fired_time: 0.0000000000, propagate_forward_time: 97.0761413574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3892593384
validation[          , genome  6307] predictions:    5273/  10000 (52.73%), best:    5273/10000 (52.73%), error:     16244.94434, best error:     16244.94434 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1387.1029052734s, input_fired_time: 10.6029882431, output_fired_time: 8.6911802292, propagate_forward_time: 486.3592224121, propagate_backward_time: 867.8958129883, weight_update_time: 1.4774898291, other_time: 13.5536499023
epoch time: 99.5757446289s, input_fired_time: 1.1858390570, output_fired_time: 0.0000000000, propagate_forward_time: 96.0410385132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3488693237
validation[          , genome  6307] predictions:    4906/  10000 (49.06%), best:    5273/10000 (52.73%), error:     17596.60742, best error:     16244.94434 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1333.6802978516s, input_fired_time: 10.5155954361, output_fired_time: 8.7004985809, propagate_forward_time: 485.7643127441, propagate_backward_time: 816.1022338867, weight_update_time: 1.3518291712, other_time: 12.5977172852
epoch time: 99.5313568115s, input_fired_time: 1.1967426538, output_fired_time: 0.0000000000, propagate_forward_time: 95.9143142700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4203033447
validation[          , genome  6307] predictions:    4819/  10000 (48.19%), best:    5273/10000 (52.73%), error:     18256.00781, best error:     16244.94434 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1353.8005371094s, input_fired_time: 10.6344976425, output_fired_time: 8.8387222290, propagate_forward_time: 495.1227722168, propagate_backward_time: 826.4117431641, weight_update_time: 1.3866391182, other_time: 12.7927246094
epoch time: 99.5091323853s, input_fired_time: 1.2345914841, output_fired_time: 0.0000000000, propagate_forward_time: 95.8983840942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3761596680
validation[          , genome  6307] predictions:    4918/  10000 (49.18%), best:    5273/10000 (52.73%), error:     16835.53125, best error:     16244.94434 on epoch:     1, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1324.2799072266s, input_fired_time: 10.4480419159, output_fired_time: 10.5603818893, propagate_forward_time: 483.7261352539, propagate_backward_time: 805.9076538086, weight_update_time: 1.4761277437, other_time: 13.6376953125
epoch time: 99.2931594849s, input_fired_time: 1.1742799282, output_fired_time: 0.0000000000, propagate_forward_time: 95.7683486938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3505325317
validation[          , genome  6307] predictions:    5258/  10000 (52.58%), best:    5258/10000 (52.58%), error:     15119.20117, best error:     15119.20117 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1328.8516845703s, input_fired_time: 10.5062189102, output_fired_time: 8.7350053787, propagate_forward_time: 482.8984680176, propagate_backward_time: 814.4327392578, weight_update_time: 1.3434808254, other_time: 12.2792968750
epoch time: 104.6361312866s, input_fired_time: 1.1826870441, output_fired_time: 0.0000000000, propagate_forward_time: 101.1031875610, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3502578735
validation[          , genome  6307] predictions:    5252/  10000 (52.52%), best:    5258/10000 (52.58%), error:     15228.02637, best error:     15119.20117 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1323.4478759766s, input_fired_time: 10.4572906494, output_fired_time: 8.7023258209, propagate_forward_time: 480.3772583008, propagate_backward_time: 811.2476806641, weight_update_time: 1.3652141094, other_time: 12.6633911133
epoch time: 99.7761383057s, input_fired_time: 1.2022705078, output_fired_time: 0.0000000000, propagate_forward_time: 96.0478515625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5260162354
validation[          , genome  6307] predictions:    5297/  10000 (52.97%), best:    5258/10000 (52.58%), error:     15164.86914, best error:     15119.20117 on epoch:     5, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1325.7124023438s, input_fired_time: 10.4823265076, output_fired_time: 8.6324996948, propagate_forward_time: 487.2762756348, propagate_backward_time: 806.4667968750, weight_update_time: 1.3869227171, other_time: 12.8546142578
epoch time: 99.3252944946s, input_fired_time: 1.1568601131, output_fired_time: 0.0000000000, propagate_forward_time: 95.8089523315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3594818115
validation[          , genome  6307] predictions:    5551/  10000 (55.51%), best:    5551/10000 (55.51%), error:     14404.89453, best error:     14404.89453 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1345.5417480469s, input_fired_time: 10.5101575851, output_fired_time: 8.8374786377, propagate_forward_time: 488.1856384277, propagate_backward_time: 825.6266479492, weight_update_time: 1.4306963682, other_time: 12.3817749023
epoch time: 98.2668533325s, input_fired_time: 1.1578143835, output_fired_time: 0.0000000000, propagate_forward_time: 94.7892456055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3197937012
validation[          , genome  6307] predictions:    5182/  10000 (51.82%), best:    5551/10000 (55.51%), error:     15571.73242, best error:     14404.89453 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1295.5346679688s, input_fired_time: 10.3242902756, output_fired_time: 8.4942731857, propagate_forward_time: 472.9354858398, propagate_backward_time: 790.4139404297, weight_update_time: 1.4542390108, other_time: 13.3666381836
epoch time: 97.8471221924s, input_fired_time: 1.1494022608, output_fired_time: 0.0000000000, propagate_forward_time: 94.3505325317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3471908569
validation[          , genome  6307] predictions:    5557/  10000 (55.57%), best:    5557/10000 (55.57%), error:     13989.15137, best error:     13989.15137 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1306.8302001953s, input_fired_time: 10.3333368301, output_fired_time: 8.4681148529, propagate_forward_time: 479.2956848145, propagate_backward_time: 795.4389648438, weight_update_time: 1.4426240921, other_time: 13.2940673828
epoch time: 101.3542327881s, input_fired_time: 1.1841967106, output_fired_time: 0.0000000000, propagate_forward_time: 97.6019668579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5680694580
validation[          , genome  6307] predictions:    5127/  10000 (51.27%), best:    5557/10000 (55.57%), error:     15867.09277, best error:     13989.15137 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1307.7198486328s, input_fired_time: 10.3294410706, output_fired_time: 8.6469297409, propagate_forward_time: 475.2916870117, propagate_backward_time: 796.1767578125, weight_update_time: 1.4017770290, other_time: 17.2749633789
epoch time: 98.2308349609s, input_fired_time: 1.1804363728, output_fired_time: 0.0000000000, propagate_forward_time: 94.7910232544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2593765259
validation[          , genome  6307] predictions:    5532/  10000 (55.32%), best:    5532/10000 (55.32%), error:     13892.99609, best error:     13892.99609 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1290.0670166016s, input_fired_time: 10.2407188416, output_fired_time: 8.4050045013, propagate_forward_time: 471.4740905762, propagate_backward_time: 787.1875000000, weight_update_time: 1.3938585520, other_time: 12.7596435547
epoch time: 99.1423950195s, input_fired_time: 1.1766551733, output_fired_time: 0.0000000000, propagate_forward_time: 95.6648178101, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3009185791
validation[          , genome  6307] predictions:    5450/  10000 (54.50%), best:    5532/10000 (55.32%), error:     14346.06641, best error:     13892.99609 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1301.9791259766s, input_fired_time: 10.5667524338, output_fired_time: 8.6327810287, propagate_forward_time: 475.3193969727, propagate_backward_time: 795.7380981445, weight_update_time: 1.2570893764, other_time: 11.7220458984
epoch time: 99.3472137451s, input_fired_time: 1.1774990559, output_fired_time: 0.0000000000, propagate_forward_time: 95.8108062744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3589096069
validation[          , genome  6307] predictions:    5544/  10000 (55.44%), best:    5544/10000 (55.44%), error:     13808.88184, best error:     13808.88184 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1324.8843994141s, input_fired_time: 10.4332084656, output_fired_time: 8.7051420212, propagate_forward_time: 487.0955200195, propagate_backward_time: 806.6249389648, weight_update_time: 1.3142765760, other_time: 12.0255126953
epoch time: 100.8155822754s, input_fired_time: 1.1835660934, output_fired_time: 0.0000000000, propagate_forward_time: 97.2261886597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4058303833
validation[          , genome  6307] predictions:    5366/  10000 (53.66%), best:    5544/10000 (55.44%), error:     14744.82617, best error:     13808.88184 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1300.8022460938s, input_fired_time: 10.3532133102, output_fired_time: 8.4727525711, propagate_forward_time: 475.8863830566, propagate_backward_time: 792.8457641602, weight_update_time: 1.4395226240, other_time: 13.2440795898
epoch time: 100.7955398560s, input_fired_time: 1.2009551525, output_fired_time: 0.0000000000, propagate_forward_time: 97.2808914185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3136901855
validation[          , genome  6307] predictions:    5509/  10000 (55.09%), best:    5544/10000 (55.44%), error:     14102.24707, best error:     13808.88184 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1308.7718505859s, input_fired_time: 10.4360542297, output_fired_time: 8.5076227188, propagate_forward_time: 479.3397216797, propagate_backward_time: 797.1124267578, weight_update_time: 1.4682796001, other_time: 13.3760986328
epoch time: 100.2674942017s, input_fired_time: 1.1945686340, output_fired_time: 0.0000000000, propagate_forward_time: 96.6489639282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4239578247
validation[          , genome  6307] predictions:    5375/  10000 (53.75%), best:    5544/10000 (55.44%), error:     14772.70605, best error:     13808.88184 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

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_1542649503_169_6307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307_1_r541145724_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: 0.795365
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00496518
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000198607
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: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5544
read best_validation_error: 13808.9
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: 6307
read normal distribution: '1 0.109802149236202 -1.99365031719208'
generator_str: '1313895141'
read generator: 1313895141
read generated_by_map:
1 crossover 1
reading 106 nodes.
reading 396 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!
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_1542649503_169_6307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307_1_r541145724_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: 0.795365
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00496518
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000198607
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: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5544
read best_validation_error: 13808.9
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: 6307
read normal distribution: '1 0.109802149236202 -1.99365031719208'
generator_str: '1313895141'
read generator: 1313895141
read generated_by_map:
1 crossover 1
reading 106 nodes.
reading 396 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: 1533.50439453125s, input_fired_time: 12.2832632064819, output_fired_time: 9.92169189453125, propagate_forward_time: 554.855895996094, propagate_backward_time: 939.534118652344, weight_update_time: 1.69065570831299, other_time: 16.9095458984375
epoch time: 117.758438110352s, input_fired_time: 1.47377598285675, output_fired_time: 0, propagate_forward_time: 113.514801025391, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.76985931396484
validation[          , genome  6307] predictions:    5741/  10000 (57.41%), best:    5741/10000 (57.41%), error:     13502.73047, best error:     13502.73047 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

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_1542649503_169_6307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307_1_r541145724_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: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
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: 19
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 18
read number_validation_images: 10000
read best_validation_predictions: 5741
read best_validation_error: 13502.7
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: 6307
read normal distribution: '1 0.109802149236202 -1.99365031719208'
generator_str: '511801063'
read generator: 511801063
read generated_by_map:
1 crossover 1
reading 106 nodes.
reading 396 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: 1558.95104980469s, input_fired_time: 12.543212890625, output_fired_time: 10.1251983642578, propagate_forward_time: 575.529968261719, propagate_backward_time: 944.940368652344, weight_update_time: 1.59755182266235, other_time: 15.812255859375
epoch time: 117.39860534668s, input_fired_time: 1.38414192199707, output_fired_time: 0, propagate_forward_time: 113.209686279297, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.80477905273438
validation[          , genome  6307] predictions:    5752/  10000 (57.52%), best:    5741/10000 (57.41%), error:     13613.33496, best error:     13502.73047 on epoch:    18, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1561.1041259766s, input_fired_time: 12.2420549393, output_fired_time: 9.8753519058, propagate_forward_time: 554.8507690430, propagate_backward_time: 967.7358398438, weight_update_time: 1.7205294371, other_time: 16.4000854492
epoch time: 125.7626266479s, input_fired_time: 1.5439592600, output_fired_time: 0.0000000000, propagate_forward_time: 121.3328781128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8857879639
validation[          , genome  6307] predictions:    5727/  10000 (57.27%), best:    5727/10000 (57.27%), error:     13390.33398, best error:     13390.33398 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1477.4829101563s, input_fired_time: 11.6753511429, output_fired_time: 9.6903886795, propagate_forward_time: 548.3001098633, propagate_backward_time: 892.7022094727, weight_update_time: 1.6072317362, other_time: 15.1148681641
epoch time: 122.5966720581s, input_fired_time: 1.4303201437, output_fired_time: 0.0000000000, propagate_forward_time: 118.1374359131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0289154053
validation[          , genome  6307] predictions:    5528/  10000 (55.28%), best:    5727/10000 (57.27%), error:     14262.07813, best error:     13390.33398 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1642.7172851563s, input_fired_time: 13.3051395416, output_fired_time: 10.5489292145, propagate_forward_time: 603.5194702148, propagate_backward_time: 998.2388916016, weight_update_time: 1.7769997120, other_time: 17.1047973633
epoch time: 127.1461639404s, input_fired_time: 1.5550966263, output_fired_time: 0.0000000000, propagate_forward_time: 122.5285339355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0625305176
validation[          , genome  6307] predictions:    5755/  10000 (57.55%), best:    5755/10000 (57.55%), error:     13360.22559, best error:     13360.22559 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_1542649503_169_6307.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6307_1_r541145724_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: 5755
read best_validation_error: 13360.2
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: 6307
read normal distribution: '1 0.109802149236202 -1.99365031719208'
generator_str: '2095867072'
read generator: 2095867072
read generated_by_map:
1 crossover 1
reading 106 nodes.
reading 396 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: 1314.24975585938s, input_fired_time: 10.502311706543, output_fired_time: 8.61507415771484, propagate_forward_time: 477.022552490234, propagate_backward_time: 805.888244628906, weight_update_time: 1.30517506599426, other_time: 12.2214965820313
epoch time: 100.455406188965s, input_fired_time: 1.23665106296539, output_fired_time: 0, propagate_forward_time: 96.8642654418945, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.3544921875
validation[          , genome  6307] predictions:    5684/  10000 (56.84%), best:    5684/10000 (56.84%), error:     13354.50586, best error:     13354.50586 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1324.8646240234s, input_fired_time: 10.7199935913, output_fired_time: 8.6233205795, propagate_forward_time: 482.7930603027, propagate_backward_time: 809.1455688477, weight_update_time: 1.5329462290, other_time: 13.5827026367
epoch time: 99.0571060181s, input_fired_time: 1.2143632174, output_fired_time: 0.0000000000, propagate_forward_time: 95.5699539185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2727890015
validation[          , genome  6307] predictions:    5732/  10000 (57.32%), best:    5684/10000 (56.84%), error:     13394.29395, best error:     13354.50586 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1314.8502197266s, input_fired_time: 13.1519489288, output_fired_time: 8.5501976013, propagate_forward_time: 475.6934204102, propagate_backward_time: 804.4739990234, weight_update_time: 1.4062744379, other_time: 12.9806518555
epoch time: 98.7058029175s, input_fired_time: 1.1795932055, output_fired_time: 0.0000000000, propagate_forward_time: 95.2008132935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3253936768
validation[          , genome  6307] predictions:    5521/  10000 (55.21%), best:    5684/10000 (56.84%), error:     14191.75195, best error:     13354.50586 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: 495.9436950684s, input_fired_time: 6.0832910538, output_fired_time: 0.0000000000, propagate_forward_time: 478.0623779297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.7980346680
best training[          , genome  6307] predictions:   32615/  50000 (65.23%), best:    5684/10000 (56.84%), error:     51273.87500, best error:     13354.50586 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: 99.7160797119s, input_fired_time: 1.2326899767, output_fired_time: 0.0000000000, propagate_forward_time: 96.1707992554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3125915527
   testing[          , genome  6307] predictions:    5684/  10000 (56.84%), best:    5684/10000 (56.84%), error:     13354.50586, best error:     13354.50586 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
19:59:02 (6168): called boinc_finish(0)

</stderr_txt>
]]>