Nameexact_genome_1542277804_178_5980_1
Workunit4090829
Created15 Nov 2018, 15:35:45 UTC
Sent15 Nov 2018, 15:43:40 UTC
Report deadline12 Jan 2019, 22:42:09 UTC
Received17 Nov 2018, 11:31:34 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time1 days 1 hours 33 min 58 sec
CPU time1 days 1 hours 24 min 55 sec
Validate stateValid
Credit14,572.66
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size544.68 MB
Peak swap size543.04 MB
Peak disk usage13.74 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
s.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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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_1542277804_178_5980.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_178_5980_1_r146010634_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: 0.49198
read mu: 0.899787
read mu_delta: 0.946379
read initial_learning_rate: 0.0019634
read learning_rate: 0.000121141
read learning_rate_delta: 0.914064
read initial_weight_decay: 0.000598852
read weight_decay: 5.42377e-05
read weight_decay_delta: 0.925453
read batch_size: 108
read epsilon: 1e-07
read alpha: 0.0756794
read input_dropout_probability: 0.00114216
read hidden_dropout_probability: 0.111694
read velocity_reset: 2182
read epoch: 31
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 6372
read best_validation_error: 10465
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: 5980
read normal distribution: '1 0 0'
generator_str: '510695583'
read generator: 510695583
read generated_by_map:
1 enable_edge 1
reading 92 nodes.
reading 485 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: 1659.69470214844s, input_fired_time: 15.634838104248, output_fired_time: 7.56169891357422, propagate_forward_time: 645.304626464844, propagate_backward_time: 979.639038085938, weight_update_time: 0.482419729232788, other_time: 11.5545043945313
epoch time: 132.712661743164s, input_fired_time: 1.17785549163818, output_fired_time: 0, propagate_forward_time: 129.583480834961, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.95132446289063
validation[          , genome  5980] predictions:    6289/  10000 (62.89%), best:    6372/10000 (63.72%), error:     10740.00977, best error:     10465.00293 on epoch:    27, epoch:   31/50, mu: 0.8997870088, learning_rate: 0.0001211405, weight_decay: 0.0000542377

epoch time: 1662.0207519531s, input_fired_time: 15.6206912994, output_fired_time: 7.5379066467, propagate_forward_time: 645.9617919922, propagate_backward_time: 981.3417358398, weight_update_time: 0.4865782261, other_time: 11.5585327148
epoch time: 132.3882446289s, input_fired_time: 1.1845254898, output_fired_time: 0.0000000000, propagate_forward_time: 129.2756042480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9281158447
validation[          , genome  5980] predictions:    6454/  10000 (64.54%), best:    6454/10000 (64.54%), error:     10461.56152, best error:     10461.56152 on epoch:    32, epoch:   32/50, mu: 0.9046242833, learning_rate: 0.0001107302, weight_decay: 0.0000501945

epoch time: 1659.5988769531s, input_fired_time: 15.6470050812, output_fired_time: 7.5420989990, propagate_forward_time: 645.6489868164, propagate_backward_time: 979.1970825195, weight_update_time: 0.4881881773, other_time: 11.5637207031
epoch time: 132.6499633789s, input_fired_time: 1.1832028627, output_fired_time: 0.0000000000, propagate_forward_time: 129.5131683350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9535980225
validation[          , genome  5980] predictions:    6354/  10000 (63.54%), best:    6454/10000 (64.54%), error:     10519.42480, best error:     10461.56152 on epoch:    32, epoch:   33/50, mu: 0.9092022181, learning_rate: 0.0001012146, weight_decay: 0.0000464526

epoch time: 1646.5292968750s, input_fired_time: 15.5020132065, output_fired_time: 7.4984226227, propagate_forward_time: 640.8758544922, propagate_backward_time: 971.1809082031, weight_update_time: 0.4831031859, other_time: 11.4721679688
epoch time: 131.9379425049s, input_fired_time: 1.1835411787, output_fired_time: 0.0000000000, propagate_forward_time: 128.8196411133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9347534180
validation[          , genome  5980] predictions:    6479/  10000 (64.79%), best:    6479/10000 (64.79%), error:     10304.61328, best error:     10304.61328 on epoch:    34, epoch:   34/50, mu: 0.9135346413, learning_rate: 0.0000925166, weight_decay: 0.0000429897

epoch time: 1645.7398681641s, input_fired_time: 15.5018444061, output_fired_time: 7.4843358994, propagate_forward_time: 640.5924072266, propagate_backward_time: 970.7330932617, weight_update_time: 0.4765755236, other_time: 11.4281616211
epoch time: 131.4238433838s, input_fired_time: 1.1755442619, output_fired_time: 0.0000000000, propagate_forward_time: 128.3319702148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9163360596
validation[          , genome  5980] predictions:    6435/  10000 (64.35%), best:    6479/10000 (64.79%), error:     10413.92969, best error:     10304.61328 on epoch:    34, epoch:   35/50, mu: 0.9176347852, learning_rate: 0.0000845662, weight_decay: 0.0000397849

epoch time: 1646.0026855469s, input_fired_time: 15.4986028671, output_fired_time: 7.4690456390, propagate_forward_time: 640.1153564453, propagate_backward_time: 971.4978637695, weight_update_time: 0.4799300730, other_time: 11.4218139648
epoch time: 131.3063812256s, input_fired_time: 1.1739132404, output_fired_time: 0.0000000000, propagate_forward_time: 128.2127685547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9196929932
validation[          , genome  5980] predictions:    6364/  10000 (63.64%), best:    6479/10000 (64.79%), error:     10483.58887, best error:     10304.61328 on epoch:    34, epoch:   36/50, mu: 0.9215150476, learning_rate: 0.0000772989, weight_decay: 0.0000368191

epoch time: 1645.7194824219s, input_fired_time: 15.4866275787, output_fired_time: 7.4848408699, propagate_forward_time: 640.0874633789, propagate_backward_time: 971.2243041992, weight_update_time: 0.4806842506, other_time: 11.4362792969
epoch time: 131.5624237061s, input_fired_time: 1.1781878471, output_fired_time: 0.0000000000, propagate_forward_time: 128.4688873291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9153442383
validation[          , genome  5980] predictions:    6420/  10000 (64.20%), best:    6479/10000 (64.79%), error:     10317.72656, best error:     10304.61328 on epoch:    34, epoch:   37/50, mu: 0.9251872301, learning_rate: 0.0000706562, weight_decay: 0.0000340743

epoch time: 1644.0095214844s, input_fired_time: 15.4972028732, output_fired_time: 7.4770040512, propagate_forward_time: 639.3211059570, propagate_backward_time: 970.3019409180, weight_update_time: 0.4762549996, other_time: 11.4122314453
epoch time: 131.2871856689s, input_fired_time: 1.1838512421, output_fired_time: 0.0000000000, propagate_forward_time: 128.2021789551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9011535645
validation[          , genome  5980] predictions:    6418/  10000 (64.18%), best:    6418/10000 (64.18%), error:     10295.37695, best error:     10295.37695 on epoch:    38, epoch:   38/50, mu: 0.9286625385, learning_rate: 0.0000645843, weight_decay: 0.0000315342

epoch time: 1649.2348632813s, input_fired_time: 15.5959911346, output_fired_time: 7.5161662102, propagate_forward_time: 642.9880371094, propagate_backward_time: 971.6663818359, weight_update_time: 0.4862244725, other_time: 11.4683837891
epoch time: 132.2483978271s, input_fired_time: 1.1889841557, output_fired_time: 0.0000000000, propagate_forward_time: 129.1405487061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9188690186
validation[          , genome  5980] predictions:    6493/  10000 (64.93%), best:    6493/10000 (64.93%), error:     10242.50488, best error:     10242.50488 on epoch:    39, epoch:   39/50, mu: 0.9319515228, learning_rate: 0.0000590342, weight_decay: 0.0000291834

epoch time: 1648.5405273438s, input_fired_time: 15.5687437057, output_fired_time: 7.5283083916, propagate_forward_time: 642.9572143555, propagate_backward_time: 970.9684448242, weight_update_time: 0.4879585803, other_time: 11.5178222656
epoch time: 132.1503753662s, input_fired_time: 1.1909631491, output_fired_time: 0.0000000000, propagate_forward_time: 129.0535736084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9058380127
validation[          , genome  5980] predictions:    6488/  10000 (64.88%), best:    6488/10000 (64.88%), error:     10209.34180, best error:     10209.34180 on epoch:    40, epoch:   40/50, mu: 0.9350641370, learning_rate: 0.0000539611, weight_decay: 0.0000270078

epoch time: 1647.4694824219s, input_fired_time: 15.5396738052, output_fired_time: 7.5171232224, propagate_forward_time: 642.3313598633, propagate_backward_time: 970.6140747070, weight_update_time: 0.4802683592, other_time: 11.4672851563
epoch time: 131.9629821777s, input_fired_time: 1.1892288923, output_fired_time: 0.0000000000, propagate_forward_time: 128.8718566895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9019012451
validation[          , genome  5980] predictions:    6456/  10000 (64.56%), best:    6488/10000 (64.88%), error:     10264.34473, best error:     10209.34180 on epoch:    40, epoch:   41/50, mu: 0.9380098581, learning_rate: 0.0000493239, weight_decay: 0.0000249945

epoch time: 1653.2880859375s, input_fired_time: 15.5939168930, output_fired_time: 7.5690488815, propagate_forward_time: 643.8156127930, propagate_backward_time: 974.8513793945, weight_update_time: 0.4824400246, other_time: 11.4581298828
epoch time: 131.8518676758s, input_fired_time: 1.1879696846, output_fired_time: 0.0000000000, propagate_forward_time: 128.7578277588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9060668945
validation[          , genome  5980] predictions:    6437/  10000 (64.37%), best:    6488/10000 (64.88%), error:     10277.09082, best error:     10209.34180 on epoch:    40, epoch:   42/50, mu: 0.9407976270, learning_rate: 0.0000450852, weight_decay: 0.0000231312

epoch time: 1645.5382080078s, input_fired_time: 15.5350437164, output_fired_time: 7.5134835243, propagate_forward_time: 640.3469848633, propagate_backward_time: 970.7034912109, weight_update_time: 0.4834193885, other_time: 11.4392700195
epoch time: 131.5587005615s, input_fired_time: 1.1860827208, output_fired_time: 0.0000000000, propagate_forward_time: 128.4614562988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9111633301
validation[          , genome  5980] predictions:    6509/  10000 (65.09%), best:    6509/10000 (65.09%), error:     10178.21094, best error:     10178.21094 on epoch:    43, epoch:   43/50, mu: 0.9434359074, learning_rate: 0.0000412108, weight_decay: 0.0000214068

epoch time: 1644.6933593750s, input_fired_time: 15.5327320099, output_fired_time: 7.4732389450, propagate_forward_time: 640.1899414063, propagate_backward_time: 969.9966430664, weight_update_time: 0.4845172167, other_time: 11.5007934570
epoch time: 131.5280303955s, input_fired_time: 1.1863483191, output_fired_time: 0.0000000000, propagate_forward_time: 128.4286804199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9129943848
validation[          , genome  5980] predictions:    6506/  10000 (65.06%), best:    6506/10000 (65.06%), error:     10175.31250, best error:     10175.31250 on epoch:    44, epoch:   44/50, mu: 0.9459326863, learning_rate: 0.0000376693, weight_decay: 0.0000198110

epoch time: 1644.7835693359s, input_fired_time: 15.5652742386, output_fired_time: 7.4949922562, propagate_forward_time: 639.4638061523, propagate_backward_time: 970.8432617188, weight_update_time: 0.4857814014, other_time: 11.4161987305
epoch time: 131.3668212891s, input_fired_time: 1.1822915077, output_fired_time: 0.0000000000, propagate_forward_time: 128.2672424316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9172821045
validation[          , genome  5980] predictions:    6492/  10000 (64.92%), best:    6492/10000 (64.92%), error:     10144.73535, best error:     10144.73535 on epoch:    45, epoch:   45/50, mu: 0.9482955933, learning_rate: 0.0000344322, weight_decay: 0.0000183342

epoch time: 1680.1994628906s, input_fired_time: 15.7406654358, output_fired_time: 7.6682410240, propagate_forward_time: 653.4049072266, propagate_backward_time: 991.7430419922, weight_update_time: 0.5047216415, other_time: 11.6425781250
epoch time: 137.1093139648s, input_fired_time: 1.2332165241, output_fired_time: 0.0000000000, propagate_forward_time: 133.9162445068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9598541260
validation[          , genome  5980] predictions:    6484/  10000 (64.84%), best:    6492/10000 (64.92%), error:     10205.59863, best error:     10144.73535 on epoch:    45, epoch:   46/50, mu: 0.9505318403, learning_rate: 0.0000314732, weight_decay: 0.0000169674

epoch time: 1661.9671630859s, input_fired_time: 15.6396608353, output_fired_time: 7.5431318283, propagate_forward_time: 647.4349365234, propagate_backward_time: 979.8335571289, weight_update_time: 0.4812358320, other_time: 11.5159301758
epoch time: 130.8507232666s, input_fired_time: 1.1826323271, output_fired_time: 0.0000000000, propagate_forward_time: 127.7862167358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8818740845
validation[          , genome  5980] predictions:    6533/  10000 (65.33%), best:    6533/10000 (65.33%), error:     10101.93457, best error:     10101.93457 on epoch:    47, epoch:   47/50, mu: 0.9526481628, learning_rate: 0.0000287686, weight_decay: 0.0000157025

epoch time: 1641.3189697266s, input_fired_time: 15.5397539139, output_fired_time: 7.4715123177, propagate_forward_time: 639.6572265625, propagate_backward_time: 967.3404541016, weight_update_time: 0.4777223766, other_time: 11.3099365234
epoch time: 131.8669738770s, input_fired_time: 1.1858884096, output_fired_time: 0.0000000000, propagate_forward_time: 128.7641448975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9169464111
validation[          , genome  5980] predictions:    6623/  10000 (66.23%), best:    6623/10000 (66.23%), error:      9930.27051, best error:      9930.27051 on epoch:    48, epoch:   48/50, mu: 0.9546509981, learning_rate: 0.0000262963, weight_decay: 0.0000145319

epoch time: 1643.0035400391s, input_fired_time: 15.5677366257, output_fired_time: 7.4906144142, propagate_forward_time: 641.4190063477, propagate_backward_time: 967.1362915039, weight_update_time: 0.4851807952, other_time: 11.3898925781
epoch time: 131.8504028320s, input_fired_time: 1.1859747171, output_fired_time: 0.0000000000, propagate_forward_time: 128.7721710205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8922576904
validation[          , genome  5980] predictions:    6554/  10000 (65.54%), best:    6623/10000 (66.23%), error:     10034.06152, best error:      9930.27051 on epoch:    48, epoch:   49/50, mu: 0.9565464258, learning_rate: 0.0000240365, weight_decay: 0.0000134486

epoch time: 1649.5996093750s, input_fired_time: 15.6003694534, output_fired_time: 7.5215883255, propagate_forward_time: 643.7691040039, propagate_backward_time: 971.3022460938, weight_update_time: 0.4801624715, other_time: 11.4063110352
epoch time: 131.9150848389s, input_fired_time: 1.1878024340, output_fired_time: 0.0000000000, propagate_forward_time: 128.8525238037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8747558594
validation[          , genome  5980] predictions:    6551/  10000 (65.51%), best:    6623/10000 (66.23%), error:     10015.17676, best error:      9930.27051 on epoch:    48, epoch:   50/50, mu: 0.9583402276, learning_rate: 0.0000219709, weight_decay: 0.0000124461

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 656.6625366211s, input_fired_time: 5.9325256348, output_fired_time: 0.0000000000, propagate_forward_time: 641.2164916992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.5134887695
best training[          , genome  5980] predictions:   36605/  50000 (73.21%), best:    6623/10000 (66.23%), error:     41227.37109, best error:      9930.27051 on epoch:    48, epoch:   51/50, mu: 0.9600378275, learning_rate: 0.0000200829, weight_decay: 0.0000115183
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 132.0704650879s, input_fired_time: 1.1905661821, output_fired_time: 0.0000000000, propagate_forward_time: 128.9881896973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8917083740
   testing[          , genome  5980] predictions:    6623/  10000 (66.23%), best:    6623/10000 (66.23%), error:      9930.27051, best error:      9930.27051 on epoch:    48, epoch:   51/50, mu: 0.9600378275, learning_rate: 0.0000200829, weight_decay: 0.0000115183
backpropagation finished successfully!
04:31:04 (14104): called boinc_finish(0)

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