Nameexact_genome_1541847006_176_5461_0
Workunit4078355
Created10 Nov 2018, 13:24:20 UTC
Sent10 Nov 2018, 13:24:21 UTC
Report deadline25 Dec 2018, 23:45:10 UTC
Received17 Dec 2018, 6:12:03 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time1 days 1 hours 22 min 15 sec
CPU time19 hours 55 min 46 sec
Validate stateValid
Credit11,357.78
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size520.43 MB
Peak swap size542.11 MB
Peak disk usage10.64 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461_0_r1880167732_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461.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: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5461
read normal distribution: '1 -1.83584678173065 -0.123656131327152'
generator_str: '1096728320'
read generator: 1096728320
read generated_by_map:
1 change_size 1
reading 87 nodes.
reading 349 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: 860732039
post shuffle 1: 689865997
epoch time: 1638.52319335938s, input_fired_time: 11.6924171447754, output_fired_time: 8.96815395355225, propagate_forward_time: 613.882873535156, propagate_backward_time: 987.064147949219, weight_update_time: 3.86312627792358, other_time: 16.9156494140625
epoch time: 147.650390625s, input_fired_time: 1.95225024223328, output_fired_time: 0, propagate_forward_time: 142.295959472656, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.40217590332031
validation[          , genome  5461] predictions:    5188/  10000 (51.88%), best:    5188/10000 (51.88%), error:     16146.85742, best error:     16146.85742 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1687.8162841797s, input_fired_time: 11.8308887482, output_fired_time: 9.4311170578, propagate_forward_time: 632.6223144531, propagate_backward_time: 1016.7536010742, weight_update_time: 3.6184272766, other_time: 17.1782836914
epoch time: 111.0280761719s, input_fired_time: 1.2410176992, output_fired_time: 0.0000000000, propagate_forward_time: 107.6303634644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1566925049
validation[          , genome  5461] predictions:    4955/  10000 (49.55%), best:    5188/10000 (51.88%), error:     17174.14844, best error:     16146.85742 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

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_1541847006_176_5461.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461_0_r1880167732_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: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
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: 2
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5188
read best_validation_error: 16146.9
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: 5461
read normal distribution: '1 -1.83584678173065 -0.123656131327152'
generator_str: '1601105374'
read generator: 1601105374
read generated_by_map:
1 change_size 1
reading 87 nodes.
reading 349 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: 1787.83728027344s, input_fired_time: 12.8037662506104, output_fired_time: 9.92679023742676, propagate_forward_time: 664.354919433594, propagate_backward_time: 1081.81701660156, weight_update_time: 3.92225098609924, other_time: 18.9349365234375
epoch time: 131.408096313477s, input_fired_time: 1.62664091587067, output_fired_time: 0, propagate_forward_time: 127.028060913086, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.75338745117188
validation[          , genome  5461] predictions:    4854/  10000 (48.54%), best:    5188/10000 (51.88%), error:     17057.27539, best error:     16146.85742 on epoch:     0, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1613.5610351563s, input_fired_time: 11.7216920853, output_fired_time: 9.2463760376, propagate_forward_time: 603.5822753906, propagate_backward_time: 971.8450927734, weight_update_time: 3.6847555637, other_time: 17.1656494141
epoch time: 125.8300247192s, input_fired_time: 1.3800607920, output_fired_time: 0.0000000000, propagate_forward_time: 121.8650588989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5849075317
validation[          , genome  5461] predictions:    5132/  10000 (51.32%), best:    5132/10000 (51.32%), error:     15675.26953, best error:     15675.26953 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1373.6234130859s, input_fired_time: 9.5144767761, output_fired_time: 7.4733405113, propagate_forward_time: 519.4656982422, propagate_backward_time: 823.0909423828, weight_update_time: 3.1270339489, other_time: 14.0788574219
epoch time: 113.8892898560s, input_fired_time: 1.2078527212, output_fired_time: 0.0000000000, propagate_forward_time: 110.5068130493, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1746215820
validation[          , genome  5461] predictions:    5276/  10000 (52.76%), best:    5276/10000 (52.76%), error:     15248.70703, best error:     15248.70703 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1532.6962890625s, input_fired_time: 10.4841585159, output_fired_time: 8.6213207245, propagate_forward_time: 575.0903930664, propagate_backward_time: 922.5836791992, weight_update_time: 3.6201353073, other_time: 15.9167480469
epoch time: 129.5653228760s, input_fired_time: 1.5338870287, output_fired_time: 0.0000000000, propagate_forward_time: 125.0835800171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9478530884
validation[          , genome  5461] predictions:    5220/  10000 (52.20%), best:    5220/10000 (52.20%), error:     14665.07520, best error:     14665.07520 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1708.5369873047s, input_fired_time: 12.4016675949, output_fired_time: 9.5077342987, propagate_forward_time: 636.8935546875, propagate_backward_time: 1031.5297851563, weight_update_time: 3.7861759663, other_time: 18.2043457031
epoch time: 133.6932525635s, input_fired_time: 1.6395958662, output_fired_time: 0.0000000000, propagate_forward_time: 128.9859313965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0677185059
validation[          , genome  5461] predictions:    5118/  10000 (51.18%), best:    5220/10000 (52.20%), error:     15217.84277, best error:     14665.07520 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1703.2194824219s, input_fired_time: 11.8269872665, output_fired_time: 9.5405025482, propagate_forward_time: 634.2554931641, propagate_backward_time: 1029.4989013672, weight_update_time: 3.9615545273, other_time: 18.0975341797
epoch time: 130.0060424805s, input_fired_time: 1.4120638371, output_fired_time: 0.0000000000, propagate_forward_time: 125.9515686035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6424102783
validation[          , genome  5461] predictions:    4942/  10000 (49.42%), best:    5220/10000 (52.20%), error:     16703.71680, best error:     14665.07520 on epoch:     5, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1622.3837890625s, input_fired_time: 11.6918258667, output_fired_time: 9.0257883072, propagate_forward_time: 605.7077636719, propagate_backward_time: 979.0231933594, weight_update_time: 3.7594625950, other_time: 16.9353027344
epoch time: 105.7407150269s, input_fired_time: 1.1697679758, output_fired_time: 0.0000000000, propagate_forward_time: 102.5069198608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0640258789
validation[          , genome  5461] predictions:    5090/  10000 (50.90%), best:    5220/10000 (52.20%), error:     15776.15527, best error:     14665.07520 on epoch:     5, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1368.8137207031s, input_fired_time: 9.5339899063, output_fired_time: 7.4532589912, propagate_forward_time: 517.8130493164, propagate_backward_time: 820.3155517578, weight_update_time: 3.1189415455, other_time: 13.6979370117
epoch time: 105.0704040527s, input_fired_time: 1.2144006491, output_fired_time: 0.0000000000, propagate_forward_time: 101.8291625977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0268402100
validation[          , genome  5461] predictions:    5112/  10000 (51.12%), best:    5220/10000 (52.20%), error:     15455.34082, best error:     14665.07520 on epoch:     5, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1415.3814697266s, input_fired_time: 9.6709356308, output_fired_time: 7.7368922234, propagate_forward_time: 536.4747924805, propagate_backward_time: 847.3045043945, weight_update_time: 3.1509156227, other_time: 14.1943359375
epoch time: 109.7858886719s, input_fired_time: 1.2531707287, output_fired_time: 0.0000000000, propagate_forward_time: 106.2207641602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3119506836
validation[          , genome  5461] predictions:    5367/  10000 (53.67%), best:    5367/10000 (53.67%), error:     14024.51563, best error:     14024.51563 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1611.4299316406s, input_fired_time: 11.0888423920, output_fired_time: 8.6877298355, propagate_forward_time: 602.8189086914, propagate_backward_time: 971.4714355469, weight_update_time: 3.6164679527, other_time: 17.3629760742
epoch time: 111.8917465210s, input_fired_time: 1.1870774031, output_fired_time: 0.0000000000, propagate_forward_time: 108.5066986084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1979675293
validation[          , genome  5461] predictions:    5297/  10000 (52.97%), best:    5367/10000 (53.67%), error:     14768.13281, best error:     14024.51563 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1569.7120361328s, input_fired_time: 10.8887586594, output_fired_time: 8.7219047546, propagate_forward_time: 589.9248657227, propagate_backward_time: 944.2898559570, weight_update_time: 3.6284990311, other_time: 15.8865966797
epoch time: 133.6520996094s, input_fired_time: 1.4267504215, output_fired_time: 0.0000000000, propagate_forward_time: 129.3473052979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8780364990
validation[          , genome  5461] predictions:    5194/  10000 (51.94%), best:    5367/10000 (53.67%), error:     14777.67480, best error:     14024.51563 on epoch:    10, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1587.5839843750s, input_fired_time: 11.0138072968, output_fired_time: 8.7543516159, propagate_forward_time: 593.3984375000, propagate_backward_time: 957.7791748047, weight_update_time: 3.5621876717, other_time: 16.6381835938
epoch time: 123.9401473999s, input_fired_time: 1.3125548363, output_fired_time: 0.0000000000, propagate_forward_time: 120.0566558838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5709381104
validation[          , genome  5461] predictions:    5301/  10000 (53.01%), best:    5367/10000 (53.67%), error:     14277.89551, best error:     14024.51563 on epoch:    10, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1553.9764404297s, input_fired_time: 10.9005804062, output_fired_time: 8.5126628876, propagate_forward_time: 580.8610839844, propagate_backward_time: 937.4549560547, weight_update_time: 3.4915547371, other_time: 16.2470703125
epoch time: 105.3258514404s, input_fired_time: 1.2054817677, output_fired_time: 0.0000000000, propagate_forward_time: 102.0107650757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1096038818
validation[          , genome  5461] predictions:    5324/  10000 (53.24%), best:    5367/10000 (53.67%), error:     14477.05762, best error:     14024.51563 on epoch:    10, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1539.6065673828s, input_fired_time: 10.6669206619, output_fired_time: 8.6222600937, propagate_forward_time: 577.5197753906, propagate_backward_time: 926.9799194336, weight_update_time: 3.3991174698, other_time: 15.8176879883
epoch time: 130.0528106689s, input_fired_time: 1.5457154512, output_fired_time: 0.0000000000, propagate_forward_time: 125.5800247192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9270706177
validation[          , genome  5461] predictions:    5491/  10000 (54.91%), best:    5491/10000 (54.91%), error:     13899.07324, best error:     13899.07324 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1490.9593505859s, input_fired_time: 10.4085140228, output_fired_time: 8.2081241608, propagate_forward_time: 561.1647949219, propagate_backward_time: 896.0358886719, weight_update_time: 3.3960132599, other_time: 15.1419677734
epoch time: 134.0639038086s, input_fired_time: 1.5080568790, output_fired_time: 0.0000000000, propagate_forward_time: 129.7735290527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7823181152
validation[          , genome  5461] predictions:    5602/  10000 (56.02%), best:    5602/10000 (56.02%), error:     13424.82422, best error:     13424.82422 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1556.9758300781s, input_fired_time: 11.1838169098, output_fired_time: 8.4348306656, propagate_forward_time: 585.4608154297, propagate_backward_time: 935.9859619141, weight_update_time: 3.4797182083, other_time: 15.9104003906
epoch time: 133.1363372803s, input_fired_time: 1.5838462114, output_fired_time: 0.0000000000, propagate_forward_time: 128.8107604980, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7417297363
validation[          , genome  5461] predictions:    5654/  10000 (56.54%), best:    5654/10000 (56.54%), error:     13203.86914, best error:     13203.86914 on epoch:    17, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1715.9631347656s, input_fired_time: 12.6265840530, output_fired_time: 9.2660198212, propagate_forward_time: 637.6458740234, propagate_backward_time: 1037.8322753906, weight_update_time: 3.7979655266, other_time: 18.5924072266
epoch time: 129.5791320801s, input_fired_time: 1.6362937689, output_fired_time: 0.0000000000, propagate_forward_time: 125.1439819336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7988586426
validation[          , genome  5461] predictions:    5397/  10000 (53.97%), best:    5654/10000 (56.54%), error:     13941.73047, best error:     13203.86914 on epoch:    17, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1496.5012207031s, input_fired_time: 10.6228876114, output_fired_time: 8.1809358597, propagate_forward_time: 562.9084472656, propagate_backward_time: 899.1846923828, weight_update_time: 3.4212937355, other_time: 15.6042480469
epoch time: 133.6597137451s, input_fired_time: 1.6490440369, output_fired_time: 0.0000000000, propagate_forward_time: 129.1263580322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8843078613
validation[          , genome  5461] predictions:    5454/  10000 (54.54%), best:    5654/10000 (56.54%), error:     13719.76855, best error:     13203.86914 on epoch:    17, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1708.6252441406s, input_fired_time: 11.8559894562, output_fired_time: 9.1909923553, propagate_forward_time: 635.9575805664, propagate_backward_time: 1033.3664550781, weight_update_time: 3.9374177456, other_time: 18.2541503906
epoch time: 132.5333404541s, input_fired_time: 1.4349465370, output_fired_time: 0.0000000000, propagate_forward_time: 128.2545013428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8438873291
validation[          , genome  5461] predictions:    5513/  10000 (55.13%), best:    5654/10000 (56.54%), error:     13856.50977, best error:     13203.86914 on epoch:    17, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1553.1140136719s, input_fired_time: 10.9690103531, output_fired_time: 8.5783071518, propagate_forward_time: 583.2574462891, propagate_backward_time: 934.3619995117, weight_update_time: 3.6207344532, other_time: 15.9473266602
epoch time: 110.4025115967s, input_fired_time: 1.2950972319, output_fired_time: 0.0000000000, propagate_forward_time: 107.0101470947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0972671509
validation[          , genome  5461] predictions:    5424/  10000 (54.24%), best:    5654/10000 (56.54%), error:     13921.53809, best error:     13203.86914 on epoch:    17, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1633.2227783203s, input_fired_time: 11.9505853653, output_fired_time: 9.0935192108, propagate_forward_time: 609.4558715820, propagate_backward_time: 985.2462158203, weight_update_time: 3.7068221569, other_time: 17.4766235352
epoch time: 108.2300949097s, input_fired_time: 1.1830651760, output_fired_time: 0.0000000000, propagate_forward_time: 104.8751068115, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1719207764
validation[          , genome  5461] predictions:    5512/  10000 (55.12%), best:    5654/10000 (56.54%), error:     14021.25684, best error:     13203.86914 on epoch:    17, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1393.0952148438s, input_fired_time: 9.8384761810, output_fired_time: 7.7049632072, propagate_forward_time: 525.7102661133, propagate_backward_time: 835.5811767578, weight_update_time: 3.1624164581, other_time: 14.2603149414
epoch time: 129.0888824463s, input_fired_time: 1.5330206156, output_fired_time: 0.0000000000, propagate_forward_time: 124.6744918823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8813705444
validation[          , genome  5461] predictions:    5315/  10000 (53.15%), best:    5654/10000 (56.54%), error:     14538.37988, best error:     13203.86914 on epoch:    17, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1576.6961669922s, input_fired_time: 11.3109312057, output_fired_time: 8.7233324051, propagate_forward_time: 590.4496459961, propagate_backward_time: 949.6486206055, weight_update_time: 3.5741739273, other_time: 16.5635986328
epoch time: 105.7104339600s, input_fired_time: 1.1708180904, output_fired_time: 0.0000000000, propagate_forward_time: 102.5218353271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0177841187
validation[          , genome  5461] predictions:    5673/  10000 (56.73%), best:    5654/10000 (56.54%), error:     13419.13184, best error:     13203.86914 on epoch:    17, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1582.3599853516s, input_fired_time: 11.2690067291, output_fired_time: 8.5889244080, propagate_forward_time: 591.3063964844, propagate_backward_time: 954.5327758789, weight_update_time: 3.7394185066, other_time: 16.6629028320
epoch time: 117.9768218994s, input_fired_time: 1.3140655756, output_fired_time: 0.0000000000, propagate_forward_time: 114.1939163208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4688415527
validation[          , genome  5461] predictions:    5714/  10000 (57.14%), best:    5714/10000 (57.14%), error:     12944.05176, best error:     12944.05176 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1544.0632324219s, input_fired_time: 11.1009635925, output_fired_time: 8.5583372116, propagate_forward_time: 577.4876708984, propagate_backward_time: 930.8367309570, weight_update_time: 3.6736412048, other_time: 16.0795288086
epoch time: 138.0911407471s, input_fired_time: 1.6366575956, output_fired_time: 0.0000000000, propagate_forward_time: 133.6823577881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7721252441
validation[          , genome  5461] predictions:    5686/  10000 (56.86%), best:    5714/10000 (57.14%), error:     13248.77637, best error:     12944.05176 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1450.9741210938s, input_fired_time: 10.6038560867, output_fired_time: 7.9965081215, propagate_forward_time: 546.6203613281, propagate_backward_time: 871.1547851563, weight_update_time: 3.2118592262, other_time: 14.5986328125
epoch time: 108.1110229492s, input_fired_time: 1.2785501480, output_fired_time: 0.0000000000, propagate_forward_time: 104.6962738037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1361999512
validation[          , genome  5461] predictions:    5626/  10000 (56.26%), best:    5714/10000 (57.14%), error:     13279.69824, best error:     12944.05176 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1558.8177490234s, input_fired_time: 11.1089448929, output_fired_time: 8.5093669891, propagate_forward_time: 582.4794311523, propagate_backward_time: 939.8244628906, weight_update_time: 3.5836694241, other_time: 16.8955688477
epoch time: 107.9393844604s, input_fired_time: 1.2408299446, output_fired_time: 0.0000000000, propagate_forward_time: 104.5016937256, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1968612671
validation[          , genome  5461] predictions:    5404/  10000 (54.04%), best:    5714/10000 (57.14%), error:     13889.48438, best error:     12944.05176 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1506.6741943359s, input_fired_time: 10.7294578552, output_fired_time: 8.3069934845, propagate_forward_time: 565.4542236328, propagate_backward_time: 906.7048950195, weight_update_time: 3.3198380470, other_time: 15.4785766602
epoch time: 133.3444976807s, input_fired_time: 1.5124207735, output_fired_time: 0.0000000000, propagate_forward_time: 129.1557464600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6763305664
validation[          , genome  5461] predictions:    5636/  10000 (56.36%), best:    5714/10000 (57.14%), error:     13175.69922, best error:     12944.05176 on epoch:    25, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1402.8157958984s, input_fired_time: 9.8370656967, output_fired_time: 7.6773877144, propagate_forward_time: 529.2756958008, propagate_backward_time: 841.7655029297, weight_update_time: 3.1991903782, other_time: 14.2601928711
epoch time: 119.0386581421s, input_fired_time: 1.3428273201, output_fired_time: 0.0000000000, propagate_forward_time: 115.1382904053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5575408936
validation[          , genome  5461] predictions:    5653/  10000 (56.53%), best:    5714/10000 (57.14%), error:     13043.27832, best error:     12944.05176 on epoch:    25, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1606.2856445313s, input_fired_time: 11.8194961548, output_fired_time: 8.8997964859, propagate_forward_time: 601.2955932617, propagate_backward_time: 966.9547119141, weight_update_time: 3.8062262535, other_time: 17.3161010742
epoch time: 133.6234283447s, input_fired_time: 1.5340903997, output_fired_time: 0.0000000000, propagate_forward_time: 129.2214355469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8679046631
validation[          , genome  5461] predictions:    5724/  10000 (57.24%), best:    5724/10000 (57.24%), error:     12896.52441, best error:     12896.52441 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1593.1651611328s, input_fired_time: 11.6840400696, output_fired_time: 8.7082252502, propagate_forward_time: 594.2967529297, propagate_backward_time: 961.4984741211, weight_update_time: 3.8255577087, other_time: 16.9776000977
epoch time: 117.1600875854s, input_fired_time: 1.4258674383, output_fired_time: 0.0000000000, propagate_forward_time: 113.3988571167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3353652954
validation[          , genome  5461] predictions:    5626/  10000 (56.26%), best:    5724/10000 (57.24%), error:     13563.31836, best error:     12896.52441 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1888.4835205078s, input_fired_time: 14.4501342773, output_fired_time: 11.0526504517, propagate_forward_time: 700.6712646484, propagate_backward_time: 1141.2296142578, weight_update_time: 4.4416179657, other_time: 21.0799560547
epoch time: 230.5955505371s, input_fired_time: 3.1158449650, output_fired_time: 0.0000000000, propagate_forward_time: 221.9625244141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5171813965
validation[          , genome  5461] predictions:    5610/  10000 (56.10%), best:    5724/10000 (57.24%), error:     13307.56738, best error:     12896.52441 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 3040.8288574219s, input_fired_time: 23.8226337433, output_fired_time: 17.6389770508, propagate_forward_time: 1111.1909179688, propagate_backward_time: 1851.4100341797, weight_update_time: 7.0482411385, other_time: 36.7662353516
epoch time: 206.0436248779s, input_fired_time: 2.9858477116, output_fired_time: 0.0000000000, propagate_forward_time: 197.9413757324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1163940430
validation[          , genome  5461] predictions:    5858/  10000 (58.58%), best:    5858/10000 (58.58%), error:     12730.24902, best error:     12730.24902 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 3492.0400390625s, input_fired_time: 29.5195903778, output_fired_time: 19.8345718384, propagate_forward_time: 1276.3281250000, propagate_backward_time: 2124.3618164063, weight_update_time: 7.8033199310, other_time: 41.9960937500
epoch time: 220.7810821533s, input_fired_time: 2.9117734432, output_fired_time: 0.0000000000, propagate_forward_time: 212.5366821289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.3326263428
validation[          , genome  5461] predictions:    5827/  10000 (58.27%), best:    5827/10000 (58.27%), error:     12663.36816, best error:     12663.36816 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 2624.5368652344s, input_fired_time: 20.6871147156, output_fired_time: 15.4155015945, propagate_forward_time: 958.4653930664, propagate_backward_time: 1600.3642578125, weight_update_time: 5.9672999382, other_time: 29.6047363281
epoch time: 159.3736572266s, input_fired_time: 1.8400610685, output_fired_time: 0.0000000000, propagate_forward_time: 153.9744567871, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5591430664
validation[          , genome  5461] predictions:    5770/  10000 (57.70%), best:    5827/10000 (58.27%), error:     12725.05273, best error:     12663.36816 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 2129.6525878906s, input_fired_time: 15.3538208008, output_fired_time: 12.1302108765, propagate_forward_time: 793.6650390625, propagate_backward_time: 1285.3576660156, weight_update_time: 4.8689336777, other_time: 23.1459960938
epoch time: 158.6244659424s, input_fired_time: 2.0896182060, output_fired_time: 0.0000000000, propagate_forward_time: 152.7635650635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7712860107
validation[          , genome  5461] predictions:    5875/  10000 (58.75%), best:    5875/10000 (58.75%), error:     12511.99414, best error:     12511.99414 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 2116.3088378906s, input_fired_time: 15.0365562439, output_fired_time: 12.1987676620, propagate_forward_time: 784.9485473633, propagate_backward_time: 1279.8222656250, weight_update_time: 5.3705549240, other_time: 24.3027343750
epoch time: 166.7935028076s, input_fired_time: 2.0422923565, output_fired_time: 0.0000000000, propagate_forward_time: 160.8467102051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9044952393
validation[          , genome  5461] predictions:    5622/  10000 (56.22%), best:    5875/10000 (58.75%), error:     13202.27246, best error:     12511.99414 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

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_1541847006_176_5461.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461_0_r1880167732_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: 0.923715
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00169095
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.76379e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 39
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 37
read number_validation_images: 10000
read best_validation_predictions: 5875
read best_validation_error: 12512
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: 5461
read normal distribution: '1 -1.83584678173065 -0.123656131327152'
generator_str: '1029244306'
read generator: 1029244306
read generated_by_map:
1 change_size 1
reading 87 nodes.
reading 349 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: 1557.14184570313s, input_fired_time: 11.5260248184204, output_fired_time: 8.55599117279053, propagate_forward_time: 581.536376953125, propagate_backward_time: 938.988830566406, weight_update_time: 3.66777443885803, other_time: 16.5346069335938
epoch time: 144.897079467773s, input_fired_time: 1.97733211517334, output_fired_time: 0, propagate_forward_time: 139.659027099609, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.26072692871094
validation[          , genome  5461] predictions:    5835/  10000 (58.35%), best:    5875/10000 (58.75%), error:     12788.37598, best error:     12511.99414 on epoch:    37, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1507.6113281250s, input_fired_time: 11.0000066757, output_fired_time: 8.2194995880, propagate_forward_time: 562.2696533203, propagate_backward_time: 910.1734008789, weight_update_time: 3.4223411083, other_time: 15.9487915039
epoch time: 107.7930145264s, input_fired_time: 1.3109685183, output_fired_time: 0.0000000000, propagate_forward_time: 104.3437194824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1383285522
validation[          , genome  5461] predictions:    5875/  10000 (58.75%), best:    5875/10000 (58.75%), error:     12602.89160, best error:     12511.99414 on epoch:    37, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1393.9964599609s, input_fired_time: 10.1075143814, output_fired_time: 7.8247499466, propagate_forward_time: 521.3475341797, propagate_backward_time: 840.1607666016, weight_update_time: 3.1752967834, other_time: 14.5559082031
epoch time: 104.1993942261s, input_fired_time: 1.2700148821, output_fired_time: 0.0000000000, propagate_forward_time: 100.6797637939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2496185303
validation[          , genome  5461] predictions:    5927/  10000 (59.27%), best:    5875/10000 (58.75%), error:     12595.68945, best error:     12511.99414 on epoch:    37, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1292.4218750000s, input_fired_time: 9.5441036224, output_fired_time: 7.2120161057, propagate_forward_time: 476.9244384766, propagate_backward_time: 784.9511108398, weight_update_time: 2.9823126793, other_time: 13.7902221680
epoch time: 98.8941268921s, input_fired_time: 1.2060906887, output_fired_time: 0.0000000000, propagate_forward_time: 95.6528015137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0352325439
validation[          , genome  5461] predictions:    5901/  10000 (59.01%), best:    5901/10000 (59.01%), error:     12378.10352, best error:     12378.10352 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1295.3377685547s, input_fired_time: 9.5124464035, output_fired_time: 7.1929116249, propagate_forward_time: 478.6058654785, propagate_backward_time: 786.5734252930, weight_update_time: 3.0199275017, other_time: 13.4531860352
epoch time: 98.7038574219s, input_fired_time: 1.1918799877, output_fired_time: 0.0000000000, propagate_forward_time: 95.4690628052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0429153442
validation[          , genome  5461] predictions:    5929/  10000 (59.29%), best:    5929/10000 (59.29%), error:     12147.62207, best error:     12147.62207 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1291.9190673828s, input_fired_time: 9.5579013824, output_fired_time: 7.2154402733, propagate_forward_time: 476.4284667969, propagate_backward_time: 785.0297851563, weight_update_time: 2.9880857468, other_time: 13.6875000000
epoch time: 98.2546081543s, input_fired_time: 1.2369443178, output_fired_time: 0.0000000000, propagate_forward_time: 94.9086837769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1089782715
validation[          , genome  5461] predictions:    6000/  10000 (60.00%), best:    6000/10000 (60.00%), error:     12098.12988, best error:     12098.12988 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1291.6805419922s, input_fired_time: 9.5505886078, output_fired_time: 7.2094063759, propagate_forward_time: 476.1079101563, propagate_backward_time: 785.1741333008, weight_update_time: 2.9779798985, other_time: 13.6386108398
epoch time: 98.4968566895s, input_fired_time: 1.2010799646, output_fired_time: 0.0000000000, propagate_forward_time: 95.2498855591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0458908081
validation[          , genome  5461] predictions:    5967/  10000 (59.67%), best:    6000/10000 (60.00%), error:     12266.48340, best error:     12098.12988 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1278.8955078125s, input_fired_time: 9.4410734177, output_fired_time: 7.1425752640, propagate_forward_time: 469.6438598633, propagate_backward_time: 779.3751831055, weight_update_time: 2.9422791004, other_time: 13.2928466797
epoch time: 93.2845001221s, input_fired_time: 1.1460933685, output_fired_time: 0.0000000000, propagate_forward_time: 90.1724624634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9659423828
validation[          , genome  5461] predictions:    5776/  10000 (57.76%), best:    6000/10000 (60.00%), error:     12818.87598, best error:     12098.12988 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1437.2424316406s, input_fired_time: 10.9281644821, output_fired_time: 8.2229242325, propagate_forward_time: 522.3340454102, propagate_backward_time: 880.0206909180, weight_update_time: 3.3098788261, other_time: 15.7365722656
epoch time: 104.7703247070s, input_fired_time: 1.3315445185, output_fired_time: 0.0000000000, propagate_forward_time: 100.9792251587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4595565796
validation[          , genome  5461] predictions:    5970/  10000 (59.70%), best:    6000/10000 (60.00%), error:     12200.25391, best error:     12098.12988 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1402.6931152344s, input_fired_time: 10.6283578873, output_fired_time: 7.9108128548, propagate_forward_time: 511.1442871094, propagate_backward_time: 857.5205688477, weight_update_time: 3.2837975025, other_time: 15.4890747070
epoch time: 99.7919082642s, input_fired_time: 1.2598115206, output_fired_time: 0.0000000000, propagate_forward_time: 96.2813644409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2507324219
validation[          , genome  5461] predictions:    5993/  10000 (59.93%), best:    5993/10000 (59.93%), error:     11918.80371, best error:     11918.80371 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1375.9053955078s, input_fired_time: 10.2759685516, output_fired_time: 7.7291226387, propagate_forward_time: 501.5624694824, propagate_backward_time: 841.3411865234, weight_update_time: 3.2280876637, other_time: 14.9965820313
epoch time: 128.6848144531s, input_fired_time: 1.6675020456, output_fired_time: 0.0000000000, propagate_forward_time: 124.0761260986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9411849976
validation[          , genome  5461] predictions:    5952/  10000 (59.52%), best:    5993/10000 (59.93%), error:     12387.34766, best error:     11918.80371 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

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_1541847006_176_5461.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1541847006_176_5461_0_r1880167732_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: 0.952297
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000961811
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.84725e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 50
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 48
read number_validation_images: 10000
read best_validation_predictions: 5993
read best_validation_error: 11918.8
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: 5461
read normal distribution: '1 -1.83584678173065 -0.123656131327152'
generator_str: '1204853539'
read generator: 1204853539
read generated_by_map:
1 change_size 1
reading 87 nodes.
reading 349 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: 1911.79833984375s, input_fired_time: 14.4073715209961, output_fired_time: 10.5388193130493, propagate_forward_time: 703.724792480469, propagate_backward_time: 1162.23132324219, weight_update_time: 4.27893447875977, other_time: 20.8961181640625
epoch time: 142.905364990234s, input_fired_time: 1.60377013683319, output_fired_time: 0, propagate_forward_time: 138.239776611328, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.06181335449219
validation[          , genome  5461] predictions:    5963/  10000 (59.63%), best:    5993/10000 (59.93%), error:     12053.38672, best error:     11918.80371 on epoch:    48, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 575.7076416016s, input_fired_time: 7.0441274643, output_fired_time: 0.0000000000, propagate_forward_time: 556.4594726563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.2040405273
best training[          , genome  5461] predictions:   36242/  50000 (72.48%), best:    5993/10000 (59.93%), error:     39369.04297, best error:     11918.80371 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 113.5340499878s, input_fired_time: 1.3113820553, output_fired_time: 0.0000000000, propagate_forward_time: 109.7912597656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4314117432
   testing[          , genome  5461] predictions:    5993/  10000 (59.93%), best:    5993/10000 (59.93%), error:     11918.80371, best error:     11918.80371 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
23:11:44 (4700): called boinc_finish(0)

</stderr_txt>
]]>