Nameexact_genome_1542127803_178_5806_0
Workunit4086767
Created13 Nov 2018, 18:16:23 UTC
Sent13 Nov 2018, 18:37:32 UTC
Report deadline7 Jan 2019, 6:09:24 UTC
Received15 Nov 2018, 21:48:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time23 hours 56 min 20 sec
CPU time23 hours 45 min 48 sec
Validate stateValid
Credit13,620.12
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size536.20 MB
Peak swap size534.57 MB
Peak disk usage13.28 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
s    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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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_1542127803_178_5806.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_178_5806_0_r1402554328_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: 0.498768
read mu: 0.732066
read mu_delta: 0.951653
read initial_learning_rate: 0.000167292
read learning_rate: 5.44633e-05
read learning_rate_delta: 0.917297
read initial_weight_decay: 0.000476175
read weight_decay: 0.000175517
read weight_decay_delta: 0.9261
read batch_size: 100
read epsilon: 1e-07
read alpha: 0.0858877
read input_dropout_probability: 0.00109385
read hidden_dropout_probability: 0.111442
read velocity_reset: 2131
read epoch: 13
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 6084
read best_validation_error: 11559.1
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: 5806
read normal distribution: '0 -1.22950291633606 -0.147441670298576'
generator_str: '89682531'
read generator: 89682531
read generated_by_map:
1 change_size_y 1
reading 84 nodes.
reading 444 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: 1739.84460449219s, input_fired_time: 14.8272876739502, output_fired_time: 7.59866285324097, propagate_forward_time: 677.904235839844, propagate_backward_time: 1027.03503417969, weight_update_time: 0.542261898517609, other_time: 12.4793701171875
epoch time: 134.882400512695s, input_fired_time: 1.09585857391357, output_fired_time: 0, propagate_forward_time: 131.809921264648, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.97662353515625
validation[          , genome  5806] predictions:    5657/  10000 (56.57%), best:    6084/10000 (60.84%), error:     12739.18555, best error:     11559.14258 on epoch:     0, epoch:   13/50, mu: 0.7320657372, learning_rate: 0.0000544633, weight_decay: 0.0001755173

epoch time: 1707.3618164063s, input_fired_time: 14.6448726654, output_fired_time: 7.4058241844, propagate_forward_time: 667.2821044922, propagate_backward_time: 1006.0102539063, weight_update_time: 0.5572676063, other_time: 12.0186767578
epoch time: 140.4981842041s, input_fired_time: 1.1266328096, output_fired_time: 0.0000000000, propagate_forward_time: 137.3739929199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9975585938
validation[          , genome  5806] predictions:    5964/  10000 (59.64%), best:    6084/10000 (60.84%), error:     12212.26953, best error:     11559.14258 on epoch:     0, epoch:   14/50, mu: 0.7445360422, learning_rate: 0.0000499590, weight_decay: 0.0001625466

epoch time: 1716.6995849609s, input_fired_time: 14.6552114487, output_fired_time: 7.4546399117, propagate_forward_time: 668.6551513672, propagate_backward_time: 1013.8369750977, weight_update_time: 0.5374307632, other_time: 12.0977172852
epoch time: 315.5394287109s, input_fired_time: 1.3094278574, output_fired_time: 0.0000000000, propagate_forward_time: 311.9116210938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3183898926
validation[          , genome  5806] predictions:    5679/  10000 (56.79%), best:    6084/10000 (60.84%), error:     12729.62305, best error:     11559.14258 on epoch:     0, epoch:   15/50, mu: 0.7564034462, learning_rate: 0.0000458273, weight_decay: 0.0001505345

epoch time: 1558.7359619141s, input_fired_time: 13.7940511703, output_fired_time: 6.7656316757, propagate_forward_time: 607.1770019531, propagate_backward_time: 919.7224731445, weight_update_time: 0.5051971078, other_time: 11.2767944336
epoch time: 123.4723434448s, input_fired_time: 1.0213165283, output_fired_time: 0.0000000000, propagate_forward_time: 120.5887603760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8622665405
validation[          , genome  5806] predictions:    5906/  10000 (59.06%), best:    6084/10000 (60.84%), error:     12239.74023, best error:     11559.14258 on epoch:     0, epoch:   16/50, mu: 0.7676970959, learning_rate: 0.0000420372, weight_decay: 0.0001394100

epoch time: 1548.2409667969s, input_fired_time: 13.7112817764, output_fired_time: 6.7306880951, propagate_forward_time: 602.4790039063, propagate_backward_time: 914.0779418945, weight_update_time: 0.4947450757, other_time: 11.2420043945
epoch time: 123.4490432739s, input_fired_time: 1.0196000338, output_fired_time: 0.0000000000, propagate_forward_time: 120.5752944946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8541488647
validation[          , genome  5806] predictions:    5857/  10000 (58.57%), best:    6084/10000 (60.84%), error:     12413.79102, best error:     11559.14258 on epoch:     0, epoch:   17/50, mu: 0.7784447670, learning_rate: 0.0000385606, weight_decay: 0.0001291076

epoch time: 1549.1745605469s, input_fired_time: 13.7194766998, output_fired_time: 6.7197823524, propagate_forward_time: 603.2513427734, propagate_backward_time: 914.2776489258, weight_update_time: 0.4959099591, other_time: 11.2063598633
epoch time: 123.7768173218s, input_fired_time: 1.0219877958, output_fired_time: 0.0000000000, propagate_forward_time: 120.8962173462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8586120605
validation[          , genome  5806] predictions:    5860/  10000 (58.60%), best:    6084/10000 (60.84%), error:     12197.61816, best error:     11559.14258 on epoch:     0, epoch:   18/50, mu: 0.7886728048, learning_rate: 0.0000353715, weight_decay: 0.0001195666

epoch time: 1556.1402587891s, input_fired_time: 13.7754001617, output_fired_time: 6.7541966438, propagate_forward_time: 605.7823486328, propagate_backward_time: 918.5648193359, weight_update_time: 0.4999397695, other_time: 11.2635498047
epoch time: 123.5487594604s, input_fired_time: 1.0247863531, output_fired_time: 0.0000000000, propagate_forward_time: 120.6946563721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8293151855
validation[          , genome  5806] predictions:    5730/  10000 (57.30%), best:    6084/10000 (60.84%), error:     12332.36230, best error:     11559.14258 on epoch:     0, epoch:   19/50, mu: 0.7984063625, learning_rate: 0.0000324462, weight_decay: 0.0001107306

epoch time: 1548.8037109375s, input_fired_time: 13.7392416000, output_fired_time: 6.7181425095, propagate_forward_time: 602.8160400391, propagate_backward_time: 914.3429565430, weight_update_time: 0.4919563532, other_time: 11.1873168945
epoch time: 123.5057754517s, input_fired_time: 1.0274245739, output_fired_time: 0.0000000000, propagate_forward_time: 120.6204299927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8579177856
validation[          , genome  5806] predictions:    5820/  10000 (58.20%), best:    6084/10000 (60.84%), error:     12345.65820, best error:     11559.14258 on epoch:     0, epoch:   20/50, mu: 0.8076693416, learning_rate: 0.0000297628, weight_decay: 0.0001025477

epoch time: 1549.9216308594s, input_fired_time: 13.7233839035, output_fired_time: 6.7304420471, propagate_forward_time: 602.9827880859, propagate_backward_time: 915.2869873047, weight_update_time: 0.4975129664, other_time: 11.1979980469
epoch time: 123.4564743042s, input_fired_time: 1.0284913778, output_fired_time: 0.0000000000, propagate_forward_time: 120.5823593140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8456268311
validation[          , genome  5806] predictions:    5899/  10000 (58.99%), best:    6084/10000 (60.84%), error:     12079.99805, best error:     11559.14258 on epoch:     0, epoch:   21/50, mu: 0.8164844513, learning_rate: 0.0000273013, weight_decay: 0.0000949694

epoch time: 1548.3887939453s, input_fired_time: 13.7358694077, output_fired_time: 6.6966447830, propagate_forward_time: 602.7347412109, propagate_backward_time: 914.0656127930, weight_update_time: 0.4979009628, other_time: 11.1559448242
epoch time: 123.3437271118s, input_fired_time: 1.0215325356, output_fired_time: 0.0000000000, propagate_forward_time: 120.4651260376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8570709229
validation[          , genome  5806] predictions:    5957/  10000 (59.57%), best:    6084/10000 (60.84%), error:     12015.77148, best error:     11559.14258 on epoch:     0, epoch:   22/50, mu: 0.8248733878, learning_rate: 0.0000250434, weight_decay: 0.0000879512

epoch time: 1548.8104248047s, input_fired_time: 13.7227697372, output_fired_time: 6.6978030205, propagate_forward_time: 603.3496093750, propagate_backward_time: 913.8645629883, weight_update_time: 0.4986662567, other_time: 11.1757202148
epoch time: 123.3297348022s, input_fired_time: 1.0192230940, output_fired_time: 0.0000000000, propagate_forward_time: 120.4468307495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8636779785
validation[          , genome  5806] predictions:    5950/  10000 (59.50%), best:    6084/10000 (60.84%), error:     12034.85547, best error:     11559.14258 on epoch:     0, epoch:   23/50, mu: 0.8328567743, learning_rate: 0.0000229722, weight_decay: 0.0000814516

epoch time: 1548.5660400391s, input_fired_time: 13.7849502563, output_fired_time: 6.7170100212, propagate_forward_time: 603.0518188477, propagate_backward_time: 913.8505859375, weight_update_time: 0.4932495058, other_time: 11.1616821289
epoch time: 123.2648239136s, input_fired_time: 1.0209599733, output_fired_time: 0.0000000000, propagate_forward_time: 120.4019851685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8418807983
validation[          , genome  5806] predictions:    5822/  10000 (58.22%), best:    6084/10000 (60.84%), error:     12368.80957, best error:     11559.14258 on epoch:     0, epoch:   24/50, mu: 0.8404541612, learning_rate: 0.0000210724, weight_decay: 0.0000754324

epoch time: 1547.9832763672s, input_fired_time: 13.7280635834, output_fired_time: 6.7342472076, propagate_forward_time: 602.4024047852, propagate_backward_time: 913.9393310547, weight_update_time: 0.4928136468, other_time: 11.1792602539
epoch time: 123.7497558594s, input_fired_time: 1.0232291222, output_fired_time: 0.0000000000, propagate_forward_time: 120.8642883301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8622360229
validation[          , genome  5806] predictions:    5883/  10000 (58.83%), best:    6084/10000 (60.84%), error:     12105.60059, best error:     11559.14258 on epoch:     0, epoch:   25/50, mu: 0.8476842642, learning_rate: 0.0000193296, weight_decay: 0.0000698579

epoch time: 1548.2780761719s, input_fired_time: 13.7346858978, output_fired_time: 6.7136535645, propagate_forward_time: 602.9497070313, propagate_backward_time: 913.6873779297, weight_update_time: 0.4995325506, other_time: 11.1926269531
epoch time: 123.2176513672s, input_fired_time: 1.0214512348, output_fired_time: 0.0000000000, propagate_forward_time: 120.3313827515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8648147583
validation[          , genome  5806] predictions:    5894/  10000 (58.94%), best:    6084/10000 (60.84%), error:     12113.74414, best error:     11559.14258 on epoch:     0, epoch:   26/50, mu: 0.8545647860, learning_rate: 0.0000177310, weight_decay: 0.0000646954

epoch time: 1555.6580810547s, input_fired_time: 13.7763528824, output_fired_time: 6.7435951233, propagate_forward_time: 605.6513671875, propagate_backward_time: 918.2358398438, weight_update_time: 0.5010755658, other_time: 11.2508544922
epoch time: 123.4735336304s, input_fired_time: 1.0200252533, output_fired_time: 0.0000000000, propagate_forward_time: 120.5901260376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8633804321
validation[          , genome  5806] predictions:    5976/  10000 (59.76%), best:    6084/10000 (60.84%), error:     11843.79199, best error:     11559.14258 on epoch:     0, epoch:   27/50, mu: 0.8611126542, learning_rate: 0.0000162646, weight_decay: 0.0000599145

epoch time: 1549.9936523438s, input_fired_time: 13.7484426498, output_fired_time: 6.7183513641, propagate_forward_time: 604.1137695313, propagate_backward_time: 914.2568969727, weight_update_time: 0.4958215058, other_time: 11.1561889648
epoch time: 123.5132980347s, input_fired_time: 1.0217885971, output_fired_time: 0.0000000000, propagate_forward_time: 120.6438674927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8476409912
validation[          , genome  5806] predictions:    5980/  10000 (59.80%), best:    6084/10000 (60.84%), error:     11820.26660, best error:     11559.14258 on epoch:     0, epoch:   28/50, mu: 0.8673439622, learning_rate: 0.0000149195, weight_decay: 0.0000554868

epoch time: 1550.3459472656s, input_fired_time: 13.7532310486, output_fired_time: 6.7375349998, propagate_forward_time: 604.8371582031, propagate_backward_time: 913.8610229492, weight_update_time: 0.5027588010, other_time: 11.1570434570
epoch time: 123.7240295410s, input_fired_time: 1.0222569704, output_fired_time: 0.0000000000, propagate_forward_time: 120.8466339111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8551406860
validation[          , genome  5806] predictions:    6049/  10000 (60.49%), best:    6084/10000 (60.84%), error:     11786.79297, best error:     11559.14258 on epoch:     0, epoch:   29/50, mu: 0.8732740283, learning_rate: 0.0000136856, weight_decay: 0.0000513863

epoch time: 1549.6043701172s, input_fired_time: 13.7678070068, output_fired_time: 6.7375764847, propagate_forward_time: 604.5142211914, propagate_backward_time: 913.3960571289, weight_update_time: 0.5004481077, other_time: 11.1887207031
epoch time: 123.5874252319s, input_fired_time: 1.0274436474, output_fired_time: 0.0000000000, propagate_forward_time: 120.7057342529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8542480469
validation[          , genome  5806] predictions:    6121/  10000 (61.21%), best:    6084/10000 (60.84%), error:     11675.96289, best error:     11559.14258 on epoch:     0, epoch:   30/50, mu: 0.8789173961, learning_rate: 0.0000125537, weight_decay: 0.0000475889

epoch time: 1551.8802490234s, input_fired_time: 13.7814655304, output_fired_time: 6.7428703308, propagate_forward_time: 605.0392456055, propagate_backward_time: 915.1261596680, weight_update_time: 0.5013008714, other_time: 11.1904296875
epoch time: 123.8691940308s, input_fired_time: 1.0311613083, output_fired_time: 0.0000000000, propagate_forward_time: 120.9701690674, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8678665161
validation[          , genome  5806] predictions:    6069/  10000 (60.69%), best:    6084/10000 (60.84%), error:     11759.89453, best error:     11559.14258 on epoch:     0, epoch:   31/50, mu: 0.8842878938, learning_rate: 0.0000115155, weight_decay: 0.0000440721

epoch time: 1551.8603515625s, input_fired_time: 13.7625246048, output_fired_time: 6.7542424202, propagate_forward_time: 605.0618286133, propagate_backward_time: 915.0947875977, weight_update_time: 0.5004349351, other_time: 11.1868896484
epoch time: 123.9092941284s, input_fired_time: 1.0344225168, output_fired_time: 0.0000000000, propagate_forward_time: 121.0262603760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8486099243
validation[          , genome  5806] predictions:    5888/  10000 (58.88%), best:    6084/10000 (60.84%), error:     11858.06543, best error:     11559.14258 on epoch:     0, epoch:   32/50, mu: 0.8893987536, learning_rate: 0.0000105631, weight_decay: 0.0000408152

epoch time: 1550.8477783203s, input_fired_time: 13.7740364075, output_fired_time: 6.7421078682, propagate_forward_time: 604.8180541992, propagate_backward_time: 914.3201904297, weight_update_time: 0.5042578578, other_time: 11.1934204102
epoch time: 123.9661254883s, input_fired_time: 1.0328522921, output_fired_time: 0.0000000000, propagate_forward_time: 121.0876159668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8456573486
validation[          , genome  5806] predictions:    5986/  10000 (59.86%), best:    6084/10000 (60.84%), error:     11808.68555, best error:     11559.14258 on epoch:     0, epoch:   33/50, mu: 0.8942624927, learning_rate: 0.0000096895, weight_decay: 0.0000377989

epoch time: 1551.1232910156s, input_fired_time: 13.7726840973, output_fired_time: 6.7353391647, propagate_forward_time: 604.8607788086, propagate_backward_time: 914.5477905273, weight_update_time: 0.5015879869, other_time: 11.2066650391
epoch time: 123.8358993530s, input_fired_time: 1.0358310938, output_fired_time: 0.0000000000, propagate_forward_time: 120.9553756714, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8446960449
validation[          , genome  5806] predictions:    5969/  10000 (59.69%), best:    6084/10000 (60.84%), error:     11884.79883, best error:     11559.14258 on epoch:     0, epoch:   34/50, mu: 0.8988910913, learning_rate: 0.0000088882, weight_decay: 0.0000350056

epoch time: 1551.7489013672s, input_fired_time: 13.7819137573, output_fired_time: 6.7362084389, propagate_forward_time: 605.0888061523, propagate_backward_time: 914.9520263672, weight_update_time: 0.4966519177, other_time: 11.1900024414
epoch time: 123.6589355469s, input_fired_time: 1.0265073776, output_fired_time: 0.0000000000, propagate_forward_time: 120.7981719971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8342590332
validation[          , genome  5806] predictions:    6108/  10000 (61.08%), best:    6084/10000 (60.84%), error:     11565.11328, best error:     11559.14258 on epoch:     0, epoch:   35/50, mu: 0.9032959342, learning_rate: 0.0000081531, weight_decay: 0.0000324187

epoch time: 1551.9761962891s, input_fired_time: 13.8250102997, output_fired_time: 6.7435007095, propagate_forward_time: 605.1741943359, propagate_backward_time: 915.0391235352, weight_update_time: 0.4954759181, other_time: 11.1943969727
epoch time: 123.6733245850s, input_fired_time: 1.0303841829, output_fired_time: 0.0000000000, propagate_forward_time: 120.7827606201, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8601760864
validation[          , genome  5806] predictions:    6126/  10000 (61.26%), best:    6084/10000 (60.84%), error:     11654.14746, best error:     11559.14258 on epoch:     0, epoch:   36/50, mu: 0.9074878097, learning_rate: 0.0000074788, weight_decay: 0.0000300229

epoch time: 1552.3900146484s, input_fired_time: 13.7843255997, output_fired_time: 6.7472038269, propagate_forward_time: 605.1771240234, propagate_backward_time: 915.4777221680, weight_update_time: 0.5003362298, other_time: 11.2036743164
epoch time: 123.9066009521s, input_fired_time: 1.0320882797, output_fired_time: 0.0000000000, propagate_forward_time: 121.0304183960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8440933228
validation[          , genome  5806] predictions:    6124/  10000 (61.24%), best:    6124/10000 (61.24%), error:     11544.45410, best error:     11544.45410 on epoch:    37, epoch:   37/50, mu: 0.9114770293, learning_rate: 0.0000068603, weight_decay: 0.0000278043

epoch time: 1548.5462646484s, input_fired_time: 13.8099956512, output_fired_time: 6.7611074448, propagate_forward_time: 604.6995849609, propagate_backward_time: 912.0557861328, weight_update_time: 0.5054367185, other_time: 11.2198486328
epoch time: 123.2652206421s, input_fired_time: 1.0338474512, output_fired_time: 0.0000000000, propagate_forward_time: 120.3811645508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8502120972
validation[          , genome  5806] predictions:    6049/  10000 (60.49%), best:    6124/10000 (61.24%), error:     11613.24316, best error:     11544.45410 on epoch:    37, epoch:   38/50, mu: 0.9152733684, learning_rate: 0.0000062929, weight_decay: 0.0000257495

epoch time: 1615.2817382813s, input_fired_time: 14.1476173401, output_fired_time: 6.9879608154, propagate_forward_time: 629.3243408203, propagate_backward_time: 953.0404052734, weight_update_time: 0.5207872987, other_time: 11.7814941406
epoch time: 122.8015670776s, input_fired_time: 1.0255863667, output_fired_time: 0.0000000000, propagate_forward_time: 119.9031372070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8728408813
validation[          , genome  5806] predictions:    6144/  10000 (61.44%), best:    6144/10000 (61.44%), error:     11501.71973, best error:     11501.71973 on epoch:    39, epoch:   39/50, mu: 0.9188861847, learning_rate: 0.0000057725, weight_decay: 0.0000238466

epoch time: 1546.4399414063s, input_fired_time: 13.8489561081, output_fired_time: 6.7628588676, propagate_forward_time: 603.7761230469, propagate_backward_time: 910.6787719727, weight_update_time: 0.5058976412, other_time: 11.3732299805
epoch time: 122.4175109863s, input_fired_time: 1.0313192606, output_fired_time: 0.0000000000, propagate_forward_time: 119.4965133667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8896789551
validation[          , genome  5806] predictions:    6150/  10000 (61.50%), best:    6150/10000 (61.50%), error:     11456.68066, best error:     11456.68066 on epoch:    40, epoch:   40/50, mu: 0.9223242998, learning_rate: 0.0000052951, weight_decay: 0.0000220844

epoch time: 1545.9364013672s, input_fired_time: 13.7796792984, output_fired_time: 6.7259125710, propagate_forward_time: 602.2454223633, propagate_backward_time: 911.9869384766, weight_update_time: 0.4948453903, other_time: 11.1984252930
epoch time: 122.7815475464s, input_fired_time: 1.0316262245, output_fired_time: 0.0000000000, propagate_forward_time: 119.8802947998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8696289063
validation[          , genome  5806] predictions:    6196/  10000 (61.96%), best:    6150/10000 (61.50%), error:     11499.58301, best error:     11456.68066 on epoch:    40, epoch:   41/50, mu: 0.9255962372, learning_rate: 0.0000048572, weight_decay: 0.0000204524

epoch time: 1551.6405029297s, input_fired_time: 13.7780866623, output_fired_time: 6.7254509926, propagate_forward_time: 603.3976440430, propagate_backward_time: 916.5019531250, weight_update_time: 0.4980694056, other_time: 11.2373657227
epoch time: 123.3171615601s, input_fired_time: 1.0330185890, output_fired_time: 0.0000000000, propagate_forward_time: 120.4156951904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8684463501
validation[          , genome  5806] predictions:    6166/  10000 (61.66%), best:    6166/10000 (61.66%), error:     11431.47461, best error:     11431.47461 on epoch:    42, epoch:   42/50, mu: 0.9287099838, learning_rate: 0.0000044555, weight_decay: 0.0000189409

epoch time: 1548.5955810547s, input_fired_time: 13.7757263184, output_fired_time: 6.7064237595, propagate_forward_time: 602.4710693359, propagate_backward_time: 914.4900512695, weight_update_time: 0.4929029346, other_time: 11.1522827148
epoch time: 123.2136840820s, input_fired_time: 1.0329328775, output_fired_time: 0.0000000000, propagate_forward_time: 120.3358230591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8449249268
validation[          , genome  5806] predictions:    6095/  10000 (60.95%), best:    6166/10000 (61.66%), error:     11562.85254, best error:     11431.47461 on epoch:    42, epoch:   43/50, mu: 0.9316731691, learning_rate: 0.0000040870, weight_decay: 0.0000175412

epoch time: 1549.3560791016s, input_fired_time: 13.7774505615, output_fired_time: 6.6985249519, propagate_forward_time: 602.5355224609, propagate_backward_time: 915.1443481445, weight_update_time: 0.4935247898, other_time: 11.2002563477
epoch time: 123.3711547852s, input_fired_time: 1.0383238792, output_fired_time: 0.0000000000, propagate_forward_time: 120.4791564941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8536758423
validation[          , genome  5806] predictions:    6020/  10000 (60.20%), best:    6166/10000 (61.66%), error:     11524.46973, best error:     11431.47461 on epoch:    42, epoch:   44/50, mu: 0.9344930649, learning_rate: 0.0000037490, weight_decay: 0.0000162449

epoch time: 1551.5675048828s, input_fired_time: 13.7980012894, output_fired_time: 6.6953210831, propagate_forward_time: 603.4349365234, propagate_backward_time: 916.4423217773, weight_update_time: 0.4975444973, other_time: 11.1969604492
epoch time: 123.6468887329s, input_fired_time: 1.0396627188, output_fired_time: 0.0000000000, propagate_forward_time: 120.7437438965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8634796143
validation[          , genome  5806] predictions:    6130/  10000 (61.30%), best:    6166/10000 (61.66%), error:     11437.97363, best error:     11431.47461 on epoch:    42, epoch:   45/50, mu: 0.9371766448, learning_rate: 0.0000034389, weight_decay: 0.0000150444

epoch time: 1552.7293701172s, input_fired_time: 13.8080720901, output_fired_time: 6.7189173698, propagate_forward_time: 603.6668701172, propagate_backward_time: 917.3322143555, weight_update_time: 0.4935938716, other_time: 11.2033081055
epoch time: 123.2187042236s, input_fired_time: 1.0319736004, output_fired_time: 0.0000000000, propagate_forward_time: 120.3279342651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8587951660
validation[          , genome  5806] predictions:    6177/  10000 (61.77%), best:    6177/10000 (61.77%), error:     11408.60547, best error:     11408.60547 on epoch:    46, epoch:   46/50, mu: 0.9397304654, learning_rate: 0.0000031545, weight_decay: 0.0000139326

epoch time: 1551.7138671875s, input_fired_time: 13.7864294052, output_fired_time: 6.7025895119, propagate_forward_time: 603.4073486328, propagate_backward_time: 916.5957031250, weight_update_time: 0.4960133731, other_time: 11.2218017578
epoch time: 123.7329254150s, input_fired_time: 1.0399975777, output_fired_time: 0.0000000000, propagate_forward_time: 120.8272552490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8656692505
validation[          , genome  5806] predictions:    6159/  10000 (61.59%), best:    6177/10000 (61.77%), error:     11460.84668, best error:     11408.60547 on epoch:    46, epoch:   47/50, mu: 0.9421608448, learning_rate: 0.0000028936, weight_decay: 0.0000129030

epoch time: 1550.7069091797s, input_fired_time: 13.8026399612, output_fired_time: 6.7033390999, propagate_forward_time: 602.9110107422, propagate_backward_time: 916.0823974609, weight_update_time: 0.5017209649, other_time: 11.2075195313
epoch time: 123.4414215088s, input_fired_time: 1.0315355062, output_fired_time: 0.0000000000, propagate_forward_time: 120.5510482788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8588409424
validation[          , genome  5806] predictions:    6220/  10000 (62.20%), best:    6220/10000 (62.20%), error:     11368.77148, best error:     11368.77148 on epoch:    48, epoch:   48/50, mu: 0.9444737434, learning_rate: 0.0000026543, weight_decay: 0.0000119495

epoch time: 1550.4311523438s, input_fired_time: 13.7900123596, output_fired_time: 6.6901888847, propagate_forward_time: 603.0910034180, propagate_backward_time: 915.7156982422, weight_update_time: 0.4910714328, other_time: 11.1442260742
epoch time: 123.7005920410s, input_fired_time: 1.0491094589, output_fired_time: 0.0000000000, propagate_forward_time: 120.8057556152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8457260132
validation[          , genome  5806] predictions:    6140/  10000 (61.40%), best:    6220/10000 (62.20%), error:     11436.51367, best error:     11368.77148 on epoch:    48, epoch:   49/50, mu: 0.9466748238, learning_rate: 0.0000024348, weight_decay: 0.0000110664

epoch time: 1551.1690673828s, input_fired_time: 13.7819271088, output_fired_time: 6.7008771896, propagate_forward_time: 603.4608154297, propagate_backward_time: 916.0477905273, weight_update_time: 0.4989176095, other_time: 11.1775512695
epoch time: 123.4627151489s, input_fired_time: 1.0354962349, output_fired_time: 0.0000000000, propagate_forward_time: 120.5659637451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8612518311
validation[          , genome  5806] predictions:    6175/  10000 (61.75%), best:    6220/10000 (62.20%), error:     11383.03320, best error:     11368.77148 on epoch:    48, epoch:   50/50, mu: 0.9487694502, learning_rate: 0.0000022334, weight_decay: 0.0000102486

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 617.6343383789s, input_fired_time: 5.1927881241, output_fired_time: 0.0000000000, propagate_forward_time: 603.1013793945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.3401489258
best training[          , genome  5806] predictions:   32450/  50000 (64.90%), best:    6220/10000 (62.20%), error:     54254.15234, best error:     11368.77148 on epoch:    48, epoch:   51/50, mu: 0.9507628083, learning_rate: 0.0000020487, weight_decay: 0.0000094912
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 124.1405487061s, input_fired_time: 1.0433434248, output_fired_time: 0.0000000000, propagate_forward_time: 121.2228546143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8743515015
   testing[          , genome  5806] predictions:    6220/  10000 (62.20%), best:    6220/10000 (62.20%), error:     11368.77148, best error:     11368.77148 on epoch:    48, epoch:   51/50, mu: 0.9507628083, learning_rate: 0.0000020487, weight_decay: 0.0000094912
backpropagation finished successfully!
14:47:09 (20524): called boinc_finish(0)

</stderr_txt>
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