Nameexact_genome_1529063102_163_6778_0
Workunit3816711
Created20 Jun 2018, 22:02:18 UTC
Sent20 Jun 2018, 23:30:58 UTC
Report deadline17 Oct 2018, 8:28:57 UTC
Received26 Jun 2018, 16:24:24 UTC
Server stateOver
OutcomeComputation error
Client stateCompute error
Exit status-1 (0xffffffffffffffff) Unknown error number
Computer ID78172
Run time5 hours 47 min 36 sec
CPU time5 hours 19 min 15 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS3.42 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size556.38 MB
Peak swap size576.16 MB
Peak disk usage11.61 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<message>
(unknown error) - exit code -1 (0xffffffff)
</message>
<stderr_txt>
on_id: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 edges.
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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.
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1000arguments:
	'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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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.
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.499562
read mu: 0.499562
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000316286
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000448302
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 0
read max_epochs: 100
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: 6778
read normal distribution: '1 0 0'
generator_str: '877498422'
read generator: 877498422
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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: 1345774605
post shuffle 1: 2033989087
epoch time: 4341.486328125s, input_fired_time: 56.4647941589355, output_fired_time: 22.5103511810303, propagate_forward_time: 1732.93786621094, propagate_backward_time: 2484.55395507813, weight_update_time: 0.528051733970642, other_time: 45.019287109375
epoch time: 383.038055419922s, input_fired_time: 3.00326585769653, output_fired_time: 0, propagate_forward_time: 360.492919921875, propagate_backward_time: 0, weight_update_time: 0, other_time: 19.5418701171875
validation[          , genome  6778] predictions:    5559/  10000 (55.59%), best:    5559/10000 (55.59%), error:     12830.47168, best error:     12830.47168 on epoch:     0, epoch:    0/100, mu: 0.4995624721, learning_rate: 0.0003162857, weight_decay: 0.0004483015

epoch time: 4460.5610351563s, input_fired_time: 67.7312316895, output_fired_time: 25.5314350128, propagate_forward_time: 1782.3372802734, propagate_backward_time: 2536.6389160156, weight_update_time: 0.5421643257, other_time: 48.3220214844
epoch time: 372.8575134277s, input_fired_time: 4.6851930618, output_fired_time: 0.0000000000, propagate_forward_time: 364.3800964355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7922363281
validation[          , genome  6778] predictions:    5610/  10000 (56.10%), best:    5559/10000 (55.59%), error:     12920.14258, best error:     12830.47168 on epoch:     0, epoch:    1/100, mu: 0.5252578855, learning_rate: 0.0002956101, weight_decay: 0.0004219344

epoch time: 4478.3798828125s, input_fired_time: 52.8449325562, output_fired_time: 19.6777458191, propagate_forward_time: 1782.9343261719, propagate_backward_time: 2572.7287597656, weight_update_time: 1.9355244637, other_time: 50.1943359375
epoch time: 352.3244018555s, input_fired_time: 1.6663403511, output_fired_time: 0.0000000000, propagate_forward_time: 348.3657531738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2922973633
validation[          , genome  6778] predictions:    5730/  10000 (57.30%), best:    5730/10000 (57.30%), error:     12614.61035, best error:     12614.61035 on epoch:     2, epoch:    2/100, mu: 0.5496070385, learning_rate: 0.0002762861, weight_decay: 0.0003971181

epoch time: 4448.2490234375s, input_fired_time: 60.3659515381, output_fired_time: 27.8620223999, propagate_forward_time: 1783.8975830078, propagate_backward_time: 2549.2221679688, weight_update_time: 0.5302060843, other_time: 26.9018554688
epoch time: 368.2120056152s, input_fired_time: 4.7734808922, output_fired_time: 0.0000000000, propagate_forward_time: 356.6299743652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8085632324
validation[          , genome  6778] predictions:    5512/  10000 (55.12%), best:    5730/10000 (57.30%), error:     13183.48340, best error:     12614.61035 on epoch:     2, epoch:    3/100, mu: 0.5726804733, learning_rate: 0.0002582252, weight_decay: 0.0003737614

epoch time: 4512.4707031250s, input_fired_time: 60.3646278381, output_fired_time: 33.5172042847, propagate_forward_time: 1804.2379150391, propagate_backward_time: 2573.0766601563, weight_update_time: 1.9481170177, other_time: 41.2744140625
epoch time: 368.1309509277s, input_fired_time: 1.6786512136, output_fired_time: 0.0000000000, propagate_forward_time: 357.5238342285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.9284667969
validation[          , genome  6778] predictions:    5628/  10000 (56.28%), best:    5730/10000 (57.30%), error:     12881.64063, best error:     12614.61035 on epoch:     2, epoch:    4/100, mu: 0.5945450068, learning_rate: 0.0002413451, weight_decay: 0.0003517784

epoch time: 4431.7387695313s, input_fired_time: 58.7540702820, output_fired_time: 20.3804149628, propagate_forward_time: 1780.5960693359, propagate_backward_time: 2526.8061523438, weight_update_time: 2.0395226479, other_time: 45.2021484375
epoch time: 367.9853820801s, input_fired_time: 6.1653041840, output_fired_time: 0.0000000000, propagate_forward_time: 359.5450744629, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2749938965
validation[          , genome  6778] predictions:    5411/  10000 (54.11%), best:    5730/10000 (57.30%), error:     13190.24414, best error:     12614.61035 on epoch:     2, epoch:    5/100, mu: 0.6152639985, learning_rate: 0.0002255684, weight_decay: 0.0003310884

epoch time: 4450.9882812500s, input_fired_time: 51.1994132996, output_fired_time: 13.7870216370, propagate_forward_time: 1797.9494628906, propagate_backward_time: 2548.9951171875, weight_update_time: 0.5389027596, other_time: 39.0573730469
epoch time: 345.4048461914s, input_fired_time: 1.5982946157, output_fired_time: 0.0000000000, propagate_forward_time: 335.5188903809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2876586914
validation[          , genome  6778] predictions:    5505/  10000 (55.05%), best:    5730/10000 (57.30%), error:     12968.85254, best error:     12614.61035 on epoch:     2, epoch:    6/100, mu: 0.6348974705, learning_rate: 0.0002108230, weight_decay: 0.0003116152

epoch time: 4611.1884765625s, input_fired_time: 76.9315567017, output_fired_time: 19.3291416168, propagate_forward_time: 1697.5305175781, propagate_backward_time: 2433.5119628906, weight_update_time: 2.0186531544, other_time: 383.8852539063
epoch time: 386.5331726074s, input_fired_time: 3.0242009163, output_fired_time: 0.0000000000, propagate_forward_time: 317.8564453125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 65.6525268555
validation[          , genome  6778] predictions:    5849/  10000 (58.49%), best:    5849/10000 (58.49%), error:     12376.80957, best error:     12376.80957 on epoch:     7, epoch:    7/100, mu: 0.6535022855, learning_rate: 0.0001970415, weight_decay: 0.0002932874

epoch time: 8192.7744140625s, input_fired_time: 49.3953895569, output_fired_time: 22.7327861786, propagate_forward_time: 1475.3211669922, propagate_backward_time: 2136.5336914063, weight_update_time: 1.9667831659, other_time: 4508.7910156250
epoch time: 377.8686523438s, input_fired_time: 1.6405104399, output_fired_time: 0.0000000000, propagate_forward_time: 349.2691955566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 26.9589538574
validation[          , genome  6778] predictions:    5786/  10000 (57.86%), best:    5786/10000 (57.86%), error:     12281.16699, best error:     12281.16699 on epoch:     8, epoch:    8/100, mu: 0.6711323857, learning_rate: 0.0001841609, weight_decay: 0.0002760376

epoch time: 4468.2895507813s, input_fired_time: 54.4000511169, output_fired_time: 18.1961841583, propagate_forward_time: 1801.5704345703, propagate_backward_time: 2555.9038085938, weight_update_time: 2.0429034233, other_time: 38.2192382813
epoch time: 373.5331726074s, input_fired_time: 4.6591391563, output_fired_time: 0.0000000000, propagate_forward_time: 362.0363769531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8376464844
validation[          , genome  6778] predictions:    5142/  10000 (51.42%), best:    5786/10000 (57.86%), error:     13726.81250, best error:     12281.16699 on epoch:     8, epoch:    9/100, mu: 0.6878387928, learning_rate: 0.0001721223, weight_decay: 0.0002598022

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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_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: 0.499562
read mu: 0.70367
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000160871
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000244522
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 10
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 5786
read best_validation_error: 12281.2
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: 6778
read normal distribution: '1 0 0'
generator_str: '361426168'
read generator: 361426168
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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
carguments:
	'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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_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: 0.499562
read mu: 0.70367
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000160871
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
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_1529063102_163_6778.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1529063102_163_6778_0_r1836963677_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: 0.499562
read mu: 0.70367
read mu_delta: 0.947607
read initial_learning_rate: 0.000316286
read learning_rate: 0.000160871
read learning_rate_delta: 0.93463
read initial_weight_decay: 0.000448302
read weight_decay: 0.000244522
read weight_decay_delta: 0.941184
read batch_size: 92
read epsilon: 1e-07
read alpha: 0.10278
read input_dropout_probability: 0.00120508
read hidden_dropout_probability: 0.0971343
read velocity_reset: 1502
read epoch: 10
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 5786
read best_validation_error: 12281.2
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: 6778
read normal distribution: '1 0 0'
generator_str: '361426168'
read generator: 361426168
read generated_by_map:
1 disable_edge 1
reading 89 nodes.
reading 344 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.
arguments: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'
	'
</stderr_txt>
]]>