Nameexact_genome_1540823703_188_5435_1
Workunit4077848
Created29 Oct 2018, 17:19:55 UTC
Sent29 Oct 2018, 18:07:00 UTC
Report deadline30 Dec 2018, 10:45:34 UTC
Received31 Oct 2018, 7:27:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time1 days 2 hours 8 min 45 sec
CPU time1 days 1 hours 45 min 49 sec
Validate stateValid
Credit15,423.36
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.38 MB
Peak swap size521.63 MB
Peak disk usage9.03 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
72
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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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_1540823703_188_5435.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540823703_188_5435_1_r524838798_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: 0.495639
read mu: 0.984679
read mu_delta: 0.942116
read initial_learning_rate: 0.00107302
read learning_rate: 7.56147e-06
read learning_rate_delta: 0.93688
read initial_weight_decay: 0.000520741
read weight_decay: 9.0816e-06
read weight_decay_delta: 0.948118
read batch_size: 88
read epsilon: 1e-07
read alpha: 0.0993994
read input_dropout_probability: 0.00110085
read hidden_dropout_probability: 0.100125
read velocity_reset: 1759
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6249
read best_validation_error: 10768.4
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: 5435
read normal distribution: '1 0 0'
generator_str: '2123672991'
read generator: 2123672991
read generated_by_map:
1 enable_node 1
reading 59 nodes.
reading 233 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: 942.883911132813s, input_fired_time: 12.9332246780396, output_fired_time: 6.32722902297974, propagate_forward_time: 364.220520019531, propagate_backward_time: 548.788635253906, weight_update_time: 0.405733078718185, other_time: 10.6143188476563
epoch time: 74.2287750244141s, input_fired_time: 1.01708805561066, output_fired_time: 0, propagate_forward_time: 71.3853073120117, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.82637786865234
validation[          , genome  5435] predictions:    6298/  10000 (62.98%), best:    6298/10000 (62.98%), error:     10702.89551, best error:     10702.89551 on epoch:    76, epoch:   76/100, mu: 0.9846791029, learning_rate: 0.0000075615, weight_decay: 0.0000090816

epoch time: 951.5375976563s, input_fired_time: 12.9814157486, output_fired_time: 6.4102988243, propagate_forward_time: 368.9101257324, propagate_backward_time: 552.8616943359, weight_update_time: 0.4051549137, other_time: 10.3740234375
epoch time: 78.0963973999s, input_fired_time: 1.0660617352, output_fired_time: 0.0000000000, propagate_forward_time: 75.2430038452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7873306274
validation[          , genome  5435] predictions:    6229/  10000 (62.29%), best:    6298/10000 (62.98%), error:     10787.84766, best error:     10702.89551 on epoch:    76, epoch:   77/100, mu: 0.9849870801, learning_rate: 0.0000070842, weight_decay: 0.0000086104

epoch time: 956.7227172852s, input_fired_time: 12.9362936020, output_fired_time: 6.3621406555, propagate_forward_time: 369.8415527344, propagate_backward_time: 556.7411499023, weight_update_time: 0.4122124314, other_time: 10.8416137695
epoch time: 76.8664093018s, input_fired_time: 1.0373072624, output_fired_time: 0.0000000000, propagate_forward_time: 73.8919219971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9371795654
validation[          , genome  5435] predictions:    6212/  10000 (62.12%), best:    6298/10000 (62.98%), error:     10852.52441, best error:     10702.89551 on epoch:    76, epoch:   78/100, mu: 0.9852772355, learning_rate: 0.0000066370, weight_decay: 0.0000081637

epoch time: 938.2711181641s, input_fired_time: 12.7402181625, output_fired_time: 6.2820944786, propagate_forward_time: 364.2980651855, propagate_backward_time: 544.7900390625, weight_update_time: 0.4023839533, other_time: 10.1606445313
epoch time: 75.8227615356s, input_fired_time: 1.0035171509, output_fired_time: 0.0000000000, propagate_forward_time: 73.0086593628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8105850220
validation[          , genome  5435] predictions:    6214/  10000 (62.14%), best:    6298/10000 (62.98%), error:     10772.23438, best error:     10702.89551 on epoch:    76, epoch:   79/100, mu: 0.9855505824, learning_rate: 0.0000062181, weight_decay: 0.0000077402

epoch time: 877.0748291016s, input_fired_time: 12.2947854996, output_fired_time: 5.9829530716, propagate_forward_time: 338.4557800293, propagate_backward_time: 510.1872558594, weight_update_time: 0.3847906590, other_time: 10.1540527344
epoch time: 69.4768753052s, input_fired_time: 0.9599986672, output_fired_time: 0.0000000000, propagate_forward_time: 66.8808364868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6360397339
validation[          , genome  5435] predictions:    6236/  10000 (62.36%), best:    6298/10000 (62.98%), error:     10758.63672, best error:     10702.89551 on epoch:    76, epoch:   80/100, mu: 0.9858081341, learning_rate: 0.0000058256, weight_decay: 0.0000073386

epoch time: 860.7622680664s, input_fired_time: 12.1265516281, output_fired_time: 5.8300619125, propagate_forward_time: 331.9739685059, propagate_backward_time: 500.8948669434, weight_update_time: 0.3751446307, other_time: 9.9368286133
epoch time: 69.0650253296s, input_fired_time: 0.9539735913, output_fired_time: 0.0000000000, propagate_forward_time: 66.4676437378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6434097290
validation[          , genome  5435] predictions:    6225/  10000 (62.25%), best:    6298/10000 (62.98%), error:     10828.18652, best error:     10702.89551 on epoch:    76, epoch:   81/100, mu: 0.9860507846, learning_rate: 0.0000054579, weight_decay: 0.0000069578

epoch time: 858.8197021484s, input_fired_time: 12.1407222748, output_fired_time: 5.8249373436, propagate_forward_time: 330.8453674316, propagate_backward_time: 500.0306396484, weight_update_time: 0.3856878877, other_time: 9.9779968262
epoch time: 68.9375000000s, input_fired_time: 0.9558829665, output_fired_time: 0.0000000000, propagate_forward_time: 66.3328933716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6487274170
validation[          , genome  5435] predictions:    6225/  10000 (62.25%), best:    6298/10000 (62.98%), error:     10751.54395, best error:     10702.89551 on epoch:    76, epoch:   82/100, mu: 0.9862793684, learning_rate: 0.0000051134, weight_decay: 0.0000065968

epoch time: 861.1121215820s, input_fired_time: 12.1485805511, output_fired_time: 5.8310446739, propagate_forward_time: 331.8112182617, propagate_backward_time: 501.3782043457, weight_update_time: 0.3820284307, other_time: 9.9430847168
epoch time: 69.4868240356s, input_fired_time: 0.9585936666, output_fired_time: 0.0000000000, propagate_forward_time: 66.8618011475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6664276123
validation[          , genome  5435] predictions:    6268/  10000 (62.68%), best:    6298/10000 (62.98%), error:     10733.37891, best error:     10702.89551 on epoch:    76, epoch:   83/100, mu: 0.9864947200, learning_rate: 0.0000047907, weight_decay: 0.0000062546

epoch time: 859.9359130859s, input_fired_time: 12.1463928223, output_fired_time: 5.8262615204, propagate_forward_time: 331.0166931152, propagate_backward_time: 500.9355468750, weight_update_time: 0.3842990100, other_time: 10.0110778809
epoch time: 69.0530700684s, input_fired_time: 0.9538086057, output_fired_time: 0.0000000000, propagate_forward_time: 66.4391479492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6601104736
validation[          , genome  5435] predictions:    6279/  10000 (62.79%), best:    6298/10000 (62.98%), error:     10721.09863, best error:     10702.89551 on epoch:    76, epoch:   84/100, mu: 0.9866976142, learning_rate: 0.0000044883, weight_decay: 0.0000059301

epoch time: 855.9776611328s, input_fired_time: 12.1284646988, output_fired_time: 5.8112225533, propagate_forward_time: 329.7345886230, propagate_backward_time: 498.2291870117, weight_update_time: 0.3821829259, other_time: 10.0741882324
epoch time: 68.4714584351s, input_fired_time: 0.9527631402, output_fired_time: 0.0000000000, propagate_forward_time: 65.8664703369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6522216797
validation[          , genome  5435] predictions:    6285/  10000 (62.85%), best:    6298/10000 (62.98%), error:     10740.02637, best error:     10702.89551 on epoch:    76, epoch:   85/100, mu: 0.9868887663, learning_rate: 0.0000042050, weight_decay: 0.0000056224

epoch time: 850.2085571289s, input_fired_time: 12.1405649185, output_fired_time: 5.8372488022, propagate_forward_time: 327.6821289063, propagate_backward_time: 494.3890380859, weight_update_time: 0.3887964189, other_time: 10.1596069336
epoch time: 68.0570220947s, input_fired_time: 0.9421221614, output_fired_time: 0.0000000000, propagate_forward_time: 65.4250106812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6898880005
validation[          , genome  5435] predictions:    6256/  10000 (62.56%), best:    6256/10000 (62.56%), error:     10702.62012, best error:     10702.62012 on epoch:    86, epoch:   86/100, mu: 0.9870688319, learning_rate: 0.0000039396, weight_decay: 0.0000053307

epoch time: 850.9976806641s, input_fired_time: 12.1310396194, output_fired_time: 5.8114123344, propagate_forward_time: 328.1986389160, propagate_backward_time: 494.7054138184, weight_update_time: 0.3864789307, other_time: 10.1511840820
epoch time: 67.8420791626s, input_fired_time: 0.9458397627, output_fired_time: 0.0000000000, propagate_forward_time: 65.2161407471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6800994873
validation[          , genome  5435] predictions:    6301/  10000 (63.01%), best:    6301/10000 (63.01%), error:     10678.04004, best error:     10678.04004 on epoch:    87, epoch:   87/100, mu: 0.9872385263, learning_rate: 0.0000036909, weight_decay: 0.0000050542

epoch time: 849.9196777344s, input_fired_time: 12.1158647537, output_fired_time: 5.7968616486, propagate_forward_time: 327.7357788086, propagate_backward_time: 494.1203613281, weight_update_time: 0.3926584423, other_time: 10.1508178711
epoch time: 68.0440826416s, input_fired_time: 0.9507005215, output_fired_time: 0.0000000000, propagate_forward_time: 65.4068603516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6865234375
validation[          , genome  5435] predictions:    6264/  10000 (62.64%), best:    6301/10000 (63.01%), error:     10699.87012, best error:     10678.04004 on epoch:    87, epoch:   88/100, mu: 0.9873983860, learning_rate: 0.0000034579, weight_decay: 0.0000047919

epoch time: 844.8994140625s, input_fired_time: 12.1196432114, output_fired_time: 5.8136987686, propagate_forward_time: 326.2407226563, propagate_backward_time: 490.5552978516, weight_update_time: 0.3877371550, other_time: 10.1700439453
epoch time: 67.5917739868s, input_fired_time: 0.9395874143, output_fired_time: 0.0000000000, propagate_forward_time: 64.9550323486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6971511841
validation[          , genome  5435] predictions:    6293/  10000 (62.93%), best:    6301/10000 (63.01%), error:     10683.43262, best error:     10678.04004 on epoch:    87, epoch:   89/100, mu: 0.9875490069, learning_rate: 0.0000032397, weight_decay: 0.0000045433

epoch time: 848.9928588867s, input_fired_time: 12.1489858627, output_fired_time: 5.8479619026, propagate_forward_time: 327.8510742188, propagate_backward_time: 492.9331054688, weight_update_time: 0.3892676234, other_time: 10.2117309570
epoch time: 68.0016250610s, input_fired_time: 0.9451642632, output_fired_time: 0.0000000000, propagate_forward_time: 65.3708267212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6856307983
validation[          , genome  5435] predictions:    6287/  10000 (62.87%), best:    6301/10000 (63.01%), error:     10683.14648, best error:     10678.04004 on epoch:    87, epoch:   90/100, mu: 0.9876908660, learning_rate: 0.0000030352, weight_decay: 0.0000043076

epoch time: 842.0442504883s, input_fired_time: 12.1073350906, output_fired_time: 5.8155226707, propagate_forward_time: 325.0548400879, propagate_backward_time: 488.8988647461, weight_update_time: 0.3881489933, other_time: 10.1676330566
epoch time: 67.5248641968s, input_fired_time: 0.9431210160, output_fired_time: 0.0000000000, propagate_forward_time: 64.8810577393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7006835938
validation[          , genome  5435] predictions:    6268/  10000 (62.68%), best:    6301/10000 (63.01%), error:     10693.66309, best error:     10678.04004 on epoch:    87, epoch:   91/100, mu: 0.9878244996, learning_rate: 0.0000028436, weight_decay: 0.0000040841

epoch time: 844.8093261719s, input_fired_time: 12.1155099869, output_fired_time: 5.8386411667, propagate_forward_time: 326.4425964355, propagate_backward_time: 490.2424011230, weight_update_time: 0.3902568817, other_time: 10.1701660156
epoch time: 67.5559310913s, input_fired_time: 0.9425077438, output_fired_time: 0.0000000000, propagate_forward_time: 64.9236373901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6897888184
validation[          , genome  5435] predictions:    6276/  10000 (62.76%), best:    6276/10000 (62.76%), error:     10669.92480, best error:     10669.92480 on epoch:    92, epoch:   92/100, mu: 0.9879504442, learning_rate: 0.0000026641, weight_decay: 0.0000038722

epoch time: 836.1678466797s, input_fired_time: 12.0874481201, output_fired_time: 5.8290686607, propagate_forward_time: 322.6937255859, propagate_backward_time: 485.3056335449, weight_update_time: 0.3957505524, other_time: 10.2519836426
epoch time: 66.7995223999s, input_fired_time: 0.9342014790, output_fired_time: 0.0000000000, propagate_forward_time: 64.1449203491, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7203979492
validation[          , genome  5435] predictions:    6306/  10000 (63.06%), best:    6306/10000 (63.06%), error:     10666.12012, best error:     10666.12012 on epoch:    93, epoch:   93/100, mu: 0.9880690575, learning_rate: 0.0000024960, weight_decay: 0.0000036713

epoch time: 836.5123291016s, input_fired_time: 12.1039762497, output_fired_time: 5.8099088669, propagate_forward_time: 322.9618225098, propagate_backward_time: 485.3316345215, weight_update_time: 0.3996505737, other_time: 10.3049316406
epoch time: 66.8184127808s, input_fired_time: 0.9432356954, output_fired_time: 0.0000000000, propagate_forward_time: 64.1743774414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7007980347
validation[          , genome  5435] predictions:    6283/  10000 (62.83%), best:    6306/10000 (63.06%), error:     10685.26172, best error:     10666.12012 on epoch:    93, epoch:   94/100, mu: 0.9881808162, learning_rate: 0.0000023384, weight_decay: 0.0000034808

epoch time: 832.9920043945s, input_fired_time: 12.1382141113, output_fired_time: 5.7984247208, propagate_forward_time: 321.6572875977, propagate_backward_time: 483.1188049316, weight_update_time: 0.3985742927, other_time: 10.2792663574
epoch time: 66.5927429199s, input_fired_time: 0.9232888222, output_fired_time: 0.0000000000, propagate_forward_time: 63.9348030090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7346534729
validation[          , genome  5435] predictions:    6297/  10000 (62.97%), best:    6306/10000 (63.06%), error:     10670.75195, best error:     10666.12012 on epoch:    93, epoch:   95/100, mu: 0.9882861376, learning_rate: 0.0000021908, weight_decay: 0.0000033003

epoch time: 833.1375732422s, input_fired_time: 12.0919246674, output_fired_time: 5.8412322998, propagate_forward_time: 321.5878906250, propagate_backward_time: 483.3233947754, weight_update_time: 0.4022940695, other_time: 10.2931213379
epoch time: 67.8611145020s, input_fired_time: 0.9443376064, output_fired_time: 0.0000000000, propagate_forward_time: 65.2172393799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6995391846
validation[          , genome  5435] predictions:    6278/  10000 (62.78%), best:    6306/10000 (63.06%), error:     10668.87402, best error:     10666.12012 on epoch:    93, epoch:   96/100, mu: 0.9883853197, learning_rate: 0.0000020525, weight_decay: 0.0000031290

epoch time: 833.5379638672s, input_fired_time: 12.0928688049, output_fired_time: 5.7943463326, propagate_forward_time: 322.0648803711, propagate_backward_time: 483.2907714844, weight_update_time: 0.4059966207, other_time: 10.2950439453
epoch time: 67.2588729858s, input_fired_time: 0.9385961890, output_fired_time: 0.0000000000, propagate_forward_time: 64.6135330200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7067413330
validation[          , genome  5435] predictions:    6284/  10000 (62.84%), best:    6284/10000 (62.84%), error:     10653.99121, best error:     10653.99121 on epoch:    97, epoch:   97/100, mu: 0.9884787798, learning_rate: 0.0000019230, weight_decay: 0.0000029667

epoch time: 843.9226684570s, input_fired_time: 12.1390571594, output_fired_time: 5.8222751617, propagate_forward_time: 326.0192871094, propagate_backward_time: 489.6111755371, weight_update_time: 0.4057770371, other_time: 10.3309020996
epoch time: 68.1665420532s, input_fired_time: 0.9477214217, output_fired_time: 0.0000000000, propagate_forward_time: 65.5219039917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6969146729
validation[          , genome  5435] predictions:    6321/  10000 (63.21%), best:    6321/10000 (63.21%), error:     10644.78613, best error:     10644.78613 on epoch:    98, epoch:   98/100, mu: 0.9885668159, learning_rate: 0.0000018016, weight_decay: 0.0000028128

epoch time: 832.7374877930s, input_fired_time: 12.1095199585, output_fired_time: 5.7996988297, propagate_forward_time: 322.4368286133, propagate_backward_time: 482.0693359375, weight_update_time: 0.4077221751, other_time: 10.3221435547
epoch time: 66.7062454224s, input_fired_time: 0.9318456650, output_fired_time: 0.0000000000, propagate_forward_time: 64.0951538086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6792449951
validation[          , genome  5435] predictions:    6289/  10000 (62.89%), best:    6321/10000 (63.21%), error:     10658.10156, best error:     10644.78613 on epoch:    98, epoch:   99/100, mu: 0.9886497855, learning_rate: 0.0000016879, weight_decay: 0.0000026668

epoch time: 834.5317993164s, input_fired_time: 12.0930595398, output_fired_time: 5.8121299744, propagate_forward_time: 322.7653808594, propagate_backward_time: 483.5819396973, weight_update_time: 0.4078719318, other_time: 10.2792663574
epoch time: 67.5533523560s, input_fired_time: 0.9413391948, output_fired_time: 0.0000000000, propagate_forward_time: 64.8922424316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7197723389
validation[          , genome  5435] predictions:    6307/  10000 (63.07%), best:    6321/10000 (63.21%), error:     10646.16992, best error:     10644.78613 on epoch:    98, epoch:  100/100, mu: 0.9887279272, learning_rate: 0.0000015813, weight_decay: 0.0000025285

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 337.5359191895s, input_fired_time: 4.7206153870, output_fired_time: 0.0000000000, propagate_forward_time: 324.2254333496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5898742676
best training[          , genome  5435] predictions:   34280/  50000 (68.56%), best:    6321/10000 (63.21%), error:     47014.81641, best error:     10644.78613 on epoch:    98, epoch:  101/100, mu: 0.9888015389, learning_rate: 0.0000014815, weight_decay: 0.0000023973
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 68.0494537354s, input_fired_time: 0.9474312067, output_fired_time: 0.0000000000, propagate_forward_time: 65.3888397217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7131805420
   testing[          , genome  5435] predictions:    6321/  10000 (63.21%), best:    6321/10000 (63.21%), error:     10644.78613, best error:     10644.78613 on epoch:    98, epoch:  101/100, mu: 0.9888015389, learning_rate: 0.0000014815, weight_decay: 0.0000023973
backpropagation finished successfully!
01:26:11 (4352): called boinc_finish(0)

</stderr_txt>
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