Nameexact_genome_1542031203_172_5661_3
Workunit4083077
Created12 Dec 2018, 5:41:26 UTC
Sent12 Dec 2018, 5:41:31 UTC
Report deadline10 Jan 2019, 12:04:14 UTC
Received13 Dec 2018, 16:45:25 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID16708
Run time1 days 0 hours 6 min 45 sec
CPU time23 hours 58 min 38 sec
Validate stateValid
Credit7,316.44
Device peak FLOPS3.18 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size575.56 MB
Peak swap size573.84 MB
Peak disk usage13.79 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>

    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: 2591.70922851563s, input_fired_time: 37.2827262878418, output_fired_time: 22.5993423461914, propagate_forward_time: 982.636779785156, propagate_backward_time: 1528.41430664063, weight_update_time: 0.798453271389008, other_time: 20.776123046875
epoch time: 189.420043945313s, input_fired_time: 3.0402204990387, output_fired_time: 0, propagate_forward_time: 182.897598266602, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.48222351074219
validation[          , genome  5661] predictions:    6346/  10000 (63.46%), best:    6493/10000 (64.93%), error:     10452.60938, best error:     10112.18652 on epoch:    17, epoch:   22/25, mu: 0.8733907938, learning_rate: 0.0001843681, weight_decay: 0.0000608663

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.880823
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000171279
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.73453e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '1160874649'
read generator: 1160874649
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2663.82666015625s, input_fired_time: 37.9077949523926, output_fired_time: 23.0495433807373, propagate_forward_time: 1011.33349609375, propagate_backward_time: 1570.31237792969, weight_update_time: 0.820899248123169, other_time: 21.2235107421875
epoch time: 210.145080566406s, input_fired_time: 3.16606044769287, output_fired_time: 0, propagate_forward_time: 203.357360839844, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.62165832519531
validation[          , genome  5661] predictions:    6430/  10000 (64.30%), best:    6493/10000 (64.93%), error:     10308.40625, best error:     10112.18652 on epoch:    17, epoch:   23/25, mu: 0.8808225393, learning_rate: 0.0001712787, weight_decay: 0.0000573453

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.887781
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000159119
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.4028e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 24
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '602733252'
read generator: 602733252
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2652.8740234375s, input_fired_time: 38.2861328125, output_fired_time: 23.1600551605225, propagate_forward_time: 1003.42077636719, propagate_backward_time: 1566.53979492188, weight_update_time: 0.815776407718658, other_time: 21.4671630859375
epoch time: 206.480941772461s, input_fired_time: 3.15025734901428, output_fired_time: 0, propagate_forward_time: 199.66764831543, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.66304016113281
validation[          , genome  5661] predictions:    6461/  10000 (64.61%), best:    6493/10000 (64.93%), error:     10243.53809, best error:     10112.18652 on epoch:    17, epoch:   24/25, mu: 0.8877806067, learning_rate: 0.0001591187, weight_decay: 0.0000540280

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.894295
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000147822
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.09026e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '784912868'
read generator: 784912868
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.894295
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000147822
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.09026e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '784912868'
read generator: 784912868
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.894295
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000147822
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.09026e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '784912868'
read generator: 784912868
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.894295
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000147822
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 5.09026e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 6493
read best_validation_error: 10112.2
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '784912868'
read generator: 784912868
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2613.21875s, input_fired_time: 37.5236549377441, output_fired_time: 22.8015060424805, propagate_forward_time: 990.373229980469, propagate_backward_time: 1540.80712890625, weight_update_time: 0.810960292816162, other_time: 21.713134765625
epoch time: 209.966430664063s, input_fired_time: 3.19021582603455, output_fired_time: 0, propagate_forward_time: 203.108261108398, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.66795349121094
validation[          , genome  5661] predictions:    6551/  10000 (65.51%), best:    6551/10000 (65.51%), error:      9983.34961, best error:      9983.34961 on epoch:    25, epoch:   25/25, mu: 0.8942952752, learning_rate: 0.0001478220, weight_decay: 0.0000509026

evaluating best weights on full training data.
evaluting training set with running mean/variance:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.900395
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000137327
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 4.7958e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 26
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 25
read number_validation_images: 10000
read best_validation_predictions: 6551
read best_validation_error: 9983.35
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '168224300'
read generator: 168224300
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2527.52661132813s, input_fired_time: 36.7636489868164, output_fired_time: 22.1707744598389, propagate_forward_time: 956.43115234375, propagate_backward_time: 1492.04809570313, weight_update_time: 0.778264224529266, other_time: 20.113037109375
epoch time: 211.23681640625s, input_fired_time: 3.20060038566589, output_fired_time: 0, propagate_forward_time: 204.377456665039, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.65875244140625
validation[          , genome  5661] predictions:    6491/  10000 (64.91%), best:    6551/10000 (65.51%), error:     10084.54688, best error:      9983.34961 on epoch:    25, epoch:   26/25, mu: 0.9003947377, learning_rate: 0.0001373272, weight_decay: 0.0000479580

evaluating best weights on full training data.
evaluting training set with running mean/variance:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.906105
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000127578
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 4.51838e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 27
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 25
read number_validation_images: 10000
read best_validation_predictions: 6551
read best_validation_error: 9983.35
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '371852506'
read generator: 371852506
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2470.20678710938s, input_fired_time: 36.6299705505371, output_fired_time: 21.9220314025879, propagate_forward_time: 933.303283691406, propagate_backward_time: 1457.2138671875, weight_update_time: 0.776171267032623, other_time: 21.1376953125
epoch time: 213.400512695313s, input_fired_time: 3.20379543304443, output_fired_time: 0, propagate_forward_time: 206.175994873047, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.02072143554688
validation[          , genome  5661] predictions:    6575/  10000 (65.75%), best:    6575/10000 (65.75%), error:      9962.02832, best error:      9962.02832 on epoch:    27, epoch:   27/25, mu: 0.9061054587, learning_rate: 0.0001275776, weight_decay: 0.0000451838

evaluating best weights on full training data.
evaluting training set with running mean/variance:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.911452
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.00011852
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 4.257e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 28
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6575
read best_validation_error: 9962.03
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '1373381590'
read generator: 1373381590
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2540.4208984375s, input_fired_time: 36.8934020996094, output_fired_time: 22.3775253295898, propagate_forward_time: 960.630798339844, propagate_backward_time: 1499.04443359375, weight_update_time: 0.782919347286224, other_time: 21.474853515625
epoch time: 191.984848022461s, input_fired_time: 3.08837461471558, output_fired_time: 0, propagate_forward_time: 185.427185058594, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.46928405761719
validation[          , genome  5661] predictions:    6402/  10000 (64.02%), best:    6575/10000 (65.75%), error:     10380.03906, best error:      9962.02832 on epoch:    27, epoch:   28/25, mu: 0.9114522338, learning_rate: 0.0001185201, weight_decay: 0.0000425700

evaluating best weights on full training data.
evaluting training set with running mean/variance:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.916458
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000110106
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 4.01074e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 29
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6575
read best_validation_error: 9962.03
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '383592803'
read generator: 383592803
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2549.45043945313s, input_fired_time: 37.0063896179199, output_fired_time: 22.3955516815186, propagate_forward_time: 963.701232910156, propagate_backward_time: 1505.70178222656, weight_update_time: 0.808136940002441, other_time: 20.6456298828125
epoch time: 205.619583129883s, input_fired_time: 3.18004727363586, output_fired_time: 0, propagate_forward_time: 198.634506225586, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.80502319335938
validation[          , genome  5661] predictions:    6496/  10000 (64.96%), best:    6575/10000 (65.75%), error:     10103.53125, best error:      9962.02832 on epoch:    27, epoch:   29/25, mu: 0.9164582491, learning_rate: 0.0001101057, weight_decay: 0.0000401074

evaluating best weights on full training data.
evaluting training set with running mean/variance:
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_172_5661_3_r1318905678_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: 0.49349
read mu: 0.921145
read mu_delta: 0.936268
read initial_learning_rate: 0.000931742
read learning_rate: 0.000102289
read learning_rate_delta: 0.929004
read initial_weight_decay: 0.000225795
read weight_decay: 3.77873e-05
read weight_decay_delta: 0.942152
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.0908676
read input_dropout_probability: 0.00133437
read hidden_dropout_probability: 0.0824798
read velocity_reset: 1857
read epoch: 30
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6575
read best_validation_error: 9962.03
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: 5661
read normal distribution: '1 0.189134925603867 -1.02821743488312'
generator_str: '1627921372'
read generator: 1627921372
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 481 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: 2492.72314453125s, input_fired_time: 36.7201271057129, output_fired_time: 22.1047286987305, propagate_forward_time: 941.736755371094, propagate_backward_time: 1471.44860839844, weight_update_time: 0.780880987644196, other_time: 20.7127685546875
epoch time: 214.198654174805s, input_fired_time: 3.19643402099609, output_fired_time: 0, propagate_forward_time: 207.161712646484, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.84051513671875
validation[          , genome  5661] predictions:    6600/  10000 (66.00%), best:    6600/10000 (66.00%), error:      9927.91309, best error:      9927.91309 on epoch:    30, epoch:   30/25, mu: 0.9211452007, learning_rate: 0.0001022887, weight_decay: 0.0000377873

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1047.0441894531s, input_fired_time: 15.9149894714, output_fired_time: 0.0000000000, propagate_forward_time: 1012.6007690430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.5283813477
best training[          , genome  5661] predictions:   36396/  50000 (72.79%), best:    6600/10000 (66.00%), error:     41017.60156, best error:      9927.91309 on epoch:    30, epoch:   31/25, mu: 0.9255334735, learning_rate: 0.0000950266, weight_decay: 0.0000356014
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 211.0767059326s, input_fired_time: 3.2085785866, output_fired_time: 0.0000000000, propagate_forward_time: 204.1797027588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6884307861
   testing[          , genome  5661] predictions:    6600/  10000 (66.00%), best:    6600/10000 (66.00%), error:      9927.91309, best error:      9927.91309 on epoch:    30, epoch:   31/25, mu: 0.9255334735, learning_rate: 0.0000950266, weight_decay: 0.0000356014
backpropagation finished successfully!
10:42:05 (1084): called boinc_finish(0)

</stderr_txt>
]]>