Nameexact_genome_1542605141_185_6314_0
Workunit4098608
Created19 Nov 2018, 7:28:49 UTC
Sent19 Nov 2018, 7:40:17 UTC
Report deadline2 Mar 2019, 9:13:54 UTC
Received21 Nov 2018, 17:25:31 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time1 days 19 hours 18 min 38 sec
CPU time1 days 19 hours 0 min 51 sec
Validate stateValid
Credit25,766.26
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.00 MB
Peak swap size520.35 MB
Peak disk usage11.92 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
s.
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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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_1542605141_185_6314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_185_6314_0_r2111603240_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: 0.5
read mu: 0.969627
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000519724
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.0789e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 62
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 6203
read best_validation_error: 11699.6
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: 6314
read normal distribution: '1 -0.389924079179764 1.13752722740173'
generator_str: '1794626199'
read generator: 1794626199
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 422 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: 1453.04455566406s, input_fired_time: 10.7238006591797, output_fired_time: 10.2262210845947, propagate_forward_time: 557.535766601563, propagate_backward_time: 861.524475097656, weight_update_time: 1.35737645626068, other_time: 13.0343627929688
epoch time: 115.182029724121s, input_fired_time: 1.34714007377625, output_fired_time: 0, propagate_forward_time: 111.604629516602, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.23026275634766
validation[          , genome  6314] predictions:    6217/  10000 (62.17%), best:    6203/10000 (62.03%), error:     11958.31738, best error:     11699.60449 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1451.0747070313s, input_fired_time: 10.7280550003, output_fired_time: 10.2011165619, propagate_forward_time: 556.8955078125, propagate_backward_time: 860.2491455078, weight_update_time: 1.3601177931, other_time: 13.0008544922
epoch time: 115.1437530518s, input_fired_time: 1.3441840410, output_fired_time: 0.0000000000, propagate_forward_time: 111.5718917847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2276763916
validation[          , genome  6314] predictions:    6151/  10000 (61.51%), best:    6203/10000 (62.03%), error:     12227.06152, best error:     11699.60449 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1449.0581054688s, input_fired_time: 10.7212305069, output_fired_time: 10.2166595459, propagate_forward_time: 555.7863769531, propagate_backward_time: 859.3513793945, weight_update_time: 1.3476585150, other_time: 12.9824829102
epoch time: 114.7246170044s, input_fired_time: 1.3526177406, output_fired_time: 0.0000000000, propagate_forward_time: 111.1587219238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2132797241
validation[          , genome  6314] predictions:    6181/  10000 (61.81%), best:    6203/10000 (62.03%), error:     12048.11914, best error:     11699.60449 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1448.0524902344s, input_fired_time: 10.7146987915, output_fired_time: 10.1975946426, propagate_forward_time: 555.0577392578, propagate_backward_time: 859.0773315430, weight_update_time: 1.3582180738, other_time: 13.0050659180
epoch time: 114.8335189819s, input_fired_time: 1.3475935459, output_fired_time: 0.0000000000, propagate_forward_time: 111.2671585083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2187652588
validation[          , genome  6314] predictions:    6127/  10000 (61.27%), best:    6203/10000 (62.03%), error:     12154.28320, best error:     11699.60449 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1448.9031982422s, input_fired_time: 10.6922588348, output_fired_time: 10.1867485046, propagate_forward_time: 554.9028320313, propagate_backward_time: 860.1242065430, weight_update_time: 1.3511704206, other_time: 12.9971313477
epoch time: 114.1354980469s, input_fired_time: 1.3409043550, output_fired_time: 0.0000000000, propagate_forward_time: 110.5744781494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2201156616
validation[          , genome  6314] predictions:    6145/  10000 (61.45%), best:    6203/10000 (62.03%), error:     12104.32910, best error:     11699.60449 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1446.9971923828s, input_fired_time: 10.6958131790, output_fired_time: 10.1403665543, propagate_forward_time: 553.1466064453, propagate_backward_time: 860.0108032227, weight_update_time: 1.3506009579, other_time: 13.0036010742
epoch time: 114.0259475708s, input_fired_time: 1.3537398577, output_fired_time: 0.0000000000, propagate_forward_time: 110.4562835693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2159271240
validation[          , genome  6314] predictions:    6210/  10000 (62.10%), best:    6203/10000 (62.03%), error:     12018.36230, best error:     11699.60449 on epoch:    58, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1446.4848632813s, input_fired_time: 10.6990270615, output_fired_time: 10.1119813919, propagate_forward_time: 552.1004638672, propagate_backward_time: 860.5546264648, weight_update_time: 1.3496202230, other_time: 13.0188598633
epoch time: 114.1193695068s, input_fired_time: 1.3467328548, output_fired_time: 0.0000000000, propagate_forward_time: 110.5390319824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2336044312
validation[          , genome  6314] predictions:    6197/  10000 (61.97%), best:    6203/10000 (62.03%), error:     12000.00586, best error:     11699.60449 on epoch:    58, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1440.3852539063s, input_fired_time: 10.6914787292, output_fired_time: 10.1037511826, propagate_forward_time: 549.5123291016, propagate_backward_time: 857.0374755859, weight_update_time: 1.3453918695, other_time: 13.0401611328
epoch time: 112.7129135132s, input_fired_time: 1.3315277100, output_fired_time: 0.0000000000, propagate_forward_time: 109.1429977417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2383880615
validation[          , genome  6314] predictions:    6167/  10000 (61.67%), best:    6203/10000 (62.03%), error:     12127.34766, best error:     11699.60449 on epoch:    58, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1416.8511962891s, input_fired_time: 10.6318511963, output_fired_time: 10.0145463943, propagate_forward_time: 540.9699707031, propagate_backward_time: 842.0082397461, weight_update_time: 1.3432229757, other_time: 13.2266235352
epoch time: 111.5417556763s, input_fired_time: 1.3344695568, output_fired_time: 0.0000000000, propagate_forward_time: 107.9230346680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2842483521
validation[          , genome  6314] predictions:    6253/  10000 (62.53%), best:    6203/10000 (62.03%), error:     11807.19434, best error:     11699.60449 on epoch:    58, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1412.0764160156s, input_fired_time: 10.6079244614, output_fired_time: 10.0145998001, propagate_forward_time: 538.7438964844, propagate_backward_time: 839.4686889648, weight_update_time: 1.3457012177, other_time: 13.2412719727
epoch time: 111.7139587402s, input_fired_time: 1.3385840654, output_fired_time: 0.0000000000, propagate_forward_time: 108.1072769165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2680969238
validation[          , genome  6314] predictions:    6196/  10000 (61.96%), best:    6203/10000 (62.03%), error:     11961.04883, best error:     11699.60449 on epoch:    58, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1426.3521728516s, input_fired_time: 10.7089147568, output_fired_time: 10.0775861740, propagate_forward_time: 545.6623535156, propagate_backward_time: 846.7059326172, weight_update_time: 1.3475102186, other_time: 13.1973876953
epoch time: 112.2793426514s, input_fired_time: 1.3388012648, output_fired_time: 0.0000000000, propagate_forward_time: 108.6802749634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2602691650
validation[          , genome  6314] predictions:    6229/  10000 (62.29%), best:    6203/10000 (62.03%), error:     11797.05957, best error:     11699.60449 on epoch:    58, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1424.2216796875s, input_fired_time: 10.6706800461, output_fired_time: 10.0268907547, propagate_forward_time: 543.9584960938, propagate_backward_time: 846.4484863281, weight_update_time: 1.3464620113, other_time: 13.1171875000
epoch time: 113.5658950806s, input_fired_time: 1.3470337391, output_fired_time: 0.0000000000, propagate_forward_time: 109.9650192261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2538452148
validation[          , genome  6314] predictions:    6195/  10000 (61.95%), best:    6203/10000 (62.03%), error:     12064.29883, best error:     11699.60449 on epoch:    58, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1427.1483154297s, input_fired_time: 10.6689462662, output_fired_time: 10.0669536591, propagate_forward_time: 544.4467163086, propagate_backward_time: 848.9112548828, weight_update_time: 1.3443431854, other_time: 13.0545043945
epoch time: 112.2503128052s, input_fired_time: 1.3337895870, output_fired_time: 0.0000000000, propagate_forward_time: 108.6652984619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2512283325
validation[          , genome  6314] predictions:    6205/  10000 (62.05%), best:    6203/10000 (62.03%), error:     12008.59766, best error:     11699.60449 on epoch:    58, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1425.8732910156s, input_fired_time: 10.6772146225, output_fired_time: 10.0346279144, propagate_forward_time: 544.4232788086, propagate_backward_time: 847.6661987305, weight_update_time: 1.3388122320, other_time: 13.0718994141
epoch time: 112.5380249023s, input_fired_time: 1.3456130028, output_fired_time: 0.0000000000, propagate_forward_time: 108.9653091431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2271041870
validation[          , genome  6314] predictions:    6280/  10000 (62.80%), best:    6203/10000 (62.03%), error:     11896.03711, best error:     11699.60449 on epoch:    58, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1425.0883789063s, input_fired_time: 10.6917295456, output_fired_time: 10.0631160736, propagate_forward_time: 544.3518676758, propagate_backward_time: 846.8580322266, weight_update_time: 1.3509035110, other_time: 13.1235961914
epoch time: 112.5471878052s, input_fired_time: 1.3417284489, output_fired_time: 0.0000000000, propagate_forward_time: 108.8943710327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3110885620
validation[          , genome  6314] predictions:    6189/  10000 (61.89%), best:    6203/10000 (62.03%), error:     11945.51758, best error:     11699.60449 on epoch:    58, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1406.6470947266s, input_fired_time: 10.6447257996, output_fired_time: 10.0190887451, propagate_forward_time: 537.5305786133, propagate_backward_time: 835.1962890625, weight_update_time: 1.3441737890, other_time: 13.2564086914
epoch time: 111.1709365845s, input_fired_time: 1.3407924175, output_fired_time: 0.0000000000, propagate_forward_time: 107.5490264893, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2811203003
validation[          , genome  6314] predictions:    6155/  10000 (61.55%), best:    6203/10000 (62.03%), error:     12153.06641, best error:     11699.60449 on epoch:    58, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1406.4343261719s, input_fired_time: 10.6628093719, output_fired_time: 10.0189857483, propagate_forward_time: 537.8709106445, propagate_backward_time: 834.6224975586, weight_update_time: 1.3473136425, other_time: 13.2590332031
epoch time: 111.2062759399s, input_fired_time: 1.3297997713, output_fired_time: 0.0000000000, propagate_forward_time: 107.5996627808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2768096924
validation[          , genome  6314] predictions:    6202/  10000 (62.02%), best:    6203/10000 (62.03%), error:     12118.10938, best error:     11699.60449 on epoch:    58, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1438.6656494141s, input_fired_time: 10.8952732086, output_fired_time: 10.3590736389, propagate_forward_time: 551.9805297852, propagate_backward_time: 851.7099609375, weight_update_time: 1.3850200176, other_time: 13.7207641602
epoch time: 110.3394470215s, input_fired_time: 1.3237100840, output_fired_time: 0.0000000000, propagate_forward_time: 106.6485900879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3671493530
validation[          , genome  6314] predictions:    6254/  10000 (62.54%), best:    6203/10000 (62.03%), error:     11831.20215, best error:     11699.60449 on epoch:    58, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1433.8948974609s, input_fired_time: 10.8441896439, output_fired_time: 10.2533817291, propagate_forward_time: 549.1217651367, propagate_backward_time: 850.0372314453, weight_update_time: 1.3687218428, other_time: 13.6382446289
epoch time: 110.7315979004s, input_fired_time: 1.3359582424, output_fired_time: 0.0000000000, propagate_forward_time: 107.1337738037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2618637085
validation[          , genome  6314] predictions:    6280/  10000 (62.80%), best:    6203/10000 (62.03%), error:     12026.37500, best error:     11699.60449 on epoch:    58, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1403.6530761719s, input_fired_time: 10.6613101959, output_fired_time: 10.0112962723, propagate_forward_time: 536.9685058594, propagate_backward_time: 832.7914428711, weight_update_time: 1.3491874933, other_time: 13.2205200195
epoch time: 111.6658706665s, input_fired_time: 1.3374447823, output_fired_time: 0.0000000000, propagate_forward_time: 108.0613327026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2670898438
validation[          , genome  6314] predictions:    6264/  10000 (62.64%), best:    6203/10000 (62.03%), error:     11802.99609, best error:     11699.60449 on epoch:    58, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1409.1912841797s, input_fired_time: 10.6960563660, output_fired_time: 10.0391931534, propagate_forward_time: 538.5983276367, propagate_backward_time: 836.6494140625, weight_update_time: 1.3426500559, other_time: 13.2083129883
epoch time: 111.2477264404s, input_fired_time: 1.3410083055, output_fired_time: 0.0000000000, propagate_forward_time: 107.6451187134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2615966797
validation[          , genome  6314] predictions:    6225/  10000 (62.25%), best:    6203/10000 (62.03%), error:     11869.02734, best error:     11699.60449 on epoch:    58, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1409.7199707031s, input_fired_time: 10.6948900223, output_fired_time: 10.0187625885, propagate_forward_time: 538.9824829102, propagate_backward_time: 836.8566894531, weight_update_time: 1.3438961506, other_time: 13.1670532227
epoch time: 111.3940963745s, input_fired_time: 1.3443320990, output_fired_time: 0.0000000000, propagate_forward_time: 107.7839736938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2657928467
validation[          , genome  6314] predictions:    6232/  10000 (62.32%), best:    6203/10000 (62.03%), error:     12138.61621, best error:     11699.60449 on epoch:    58, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1415.4731445313s, input_fired_time: 10.6820487976, output_fired_time: 10.0202178955, propagate_forward_time: 540.9979248047, propagate_backward_time: 840.6212768555, weight_update_time: 1.3523924351, other_time: 13.1516723633
epoch time: 111.7355422974s, input_fired_time: 1.3441046476, output_fired_time: 0.0000000000, propagate_forward_time: 108.1464157104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2450256348
validation[          , genome  6314] predictions:    6254/  10000 (62.54%), best:    6203/10000 (62.03%), error:     11931.13086, best error:     11699.60449 on epoch:    58, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1405.1608886719s, input_fired_time: 10.6865081787, output_fired_time: 10.0318775177, propagate_forward_time: 537.9084472656, propagate_backward_time: 833.3538818359, weight_update_time: 1.3422983885, other_time: 13.1801757813
epoch time: 110.7376022339s, input_fired_time: 1.3362880945, output_fired_time: 0.0000000000, propagate_forward_time: 107.1203460693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2809677124
validation[          , genome  6314] predictions:    6242/  10000 (62.42%), best:    6203/10000 (62.03%), error:     11911.21777, best error:     11699.60449 on epoch:    58, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1408.8386230469s, input_fired_time: 10.6843309402, output_fired_time: 10.0314340591, propagate_forward_time: 538.7626342773, propagate_backward_time: 836.2407836914, weight_update_time: 1.3516875505, other_time: 13.1193847656
epoch time: 111.9204940796s, input_fired_time: 1.3470044136, output_fired_time: 0.0000000000, propagate_forward_time: 108.3406753540, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2328109741
validation[          , genome  6314] predictions:    6241/  10000 (62.41%), best:    6203/10000 (62.03%), error:     11952.10156, best error:     11699.60449 on epoch:    58, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1407.5187988281s, input_fired_time: 10.7033529282, output_fired_time: 10.0412063599, propagate_forward_time: 539.1527099609, propagate_backward_time: 834.4786376953, weight_update_time: 1.3469387293, other_time: 13.1428222656
epoch time: 111.3260269165s, input_fired_time: 1.3462404013, output_fired_time: 0.0000000000, propagate_forward_time: 107.7088546753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2709350586
validation[          , genome  6314] predictions:    6269/  10000 (62.69%), best:    6203/10000 (62.03%), error:     12029.36035, best error:     11699.60449 on epoch:    58, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1415.7644042969s, input_fired_time: 10.7743806839, output_fired_time: 10.0947027206, propagate_forward_time: 542.9141845703, propagate_backward_time: 838.7596435547, weight_update_time: 1.3438341618, other_time: 13.2214355469
epoch time: 111.1474914551s, input_fired_time: 1.3354380131, output_fired_time: 0.0000000000, propagate_forward_time: 107.5588302612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2532196045
validation[          , genome  6314] predictions:    6268/  10000 (62.68%), best:    6203/10000 (62.03%), error:     11880.99805, best error:     11699.60449 on epoch:    58, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1396.8618164063s, input_fired_time: 10.6826715469, output_fired_time: 10.0248069763, propagate_forward_time: 535.8587646484, propagate_backward_time: 827.0145874023, weight_update_time: 1.3549976349, other_time: 13.2810668945
epoch time: 110.1358032227s, input_fired_time: 1.3353116512, output_fired_time: 0.0000000000, propagate_forward_time: 106.5456542969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2548370361
validation[          , genome  6314] predictions:    6233/  10000 (62.33%), best:    6203/10000 (62.03%), error:     11807.55371, best error:     11699.60449 on epoch:    58, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1402.7805175781s, input_fired_time: 10.6875925064, output_fired_time: 10.0320568085, propagate_forward_time: 538.0838012695, propagate_backward_time: 830.7610473633, weight_update_time: 1.3498972654, other_time: 13.2159423828
epoch time: 110.9507980347s, input_fired_time: 1.3458453417, output_fired_time: 0.0000000000, propagate_forward_time: 107.3467559814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2581939697
validation[          , genome  6314] predictions:    6243/  10000 (62.43%), best:    6203/10000 (62.03%), error:     11870.77832, best error:     11699.60449 on epoch:    58, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1391.9906005859s, input_fired_time: 10.6826915741, output_fired_time: 10.0078649521, propagate_forward_time: 534.7451782227, propagate_backward_time: 823.2528686523, weight_update_time: 1.3494988680, other_time: 13.3020019531
epoch time: 111.7150878906s, input_fired_time: 1.3549641371, output_fired_time: 0.0000000000, propagate_forward_time: 108.0996551514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2604675293
validation[          , genome  6314] predictions:    6254/  10000 (62.54%), best:    6203/10000 (62.03%), error:     11962.41895, best error:     11699.60449 on epoch:    58, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1400.3669433594s, input_fired_time: 10.6967191696, output_fired_time: 10.0504474640, propagate_forward_time: 538.1069335938, propagate_backward_time: 828.2620239258, weight_update_time: 1.3469622135, other_time: 13.2507934570
epoch time: 111.9565887451s, input_fired_time: 1.3527283669, output_fired_time: 0.0000000000, propagate_forward_time: 108.3396759033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2641830444
validation[          , genome  6314] predictions:    6288/  10000 (62.88%), best:    6203/10000 (62.03%), error:     11804.35938, best error:     11699.60449 on epoch:    58, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1411.2470703125s, input_fired_time: 10.7298183441, output_fired_time: 10.0515556335, propagate_forward_time: 541.7628784180, propagate_backward_time: 835.5549926758, weight_update_time: 1.3522430658, other_time: 13.1478271484
epoch time: 111.7877197266s, input_fired_time: 1.3519434929, output_fired_time: 0.0000000000, propagate_forward_time: 108.1827392578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2530364990
validation[          , genome  6314] predictions:    6191/  10000 (61.91%), best:    6203/10000 (62.03%), error:     12144.08691, best error:     11699.60449 on epoch:    58, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1413.7501220703s, input_fired_time: 10.7409610748, output_fired_time: 10.0639505386, propagate_forward_time: 542.4649658203, propagate_backward_time: 837.3298950195, weight_update_time: 1.3496053219, other_time: 13.1503295898
epoch time: 112.0865859985s, input_fired_time: 1.3504461050, output_fired_time: 0.0000000000, propagate_forward_time: 108.4889144897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2472229004
validation[          , genome  6314] predictions:    6304/  10000 (63.04%), best:    6203/10000 (62.03%), error:     12003.65332, best error:     11699.60449 on epoch:    58, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1417.2033691406s, input_fired_time: 10.7549552917, output_fired_time: 10.0604782104, propagate_forward_time: 544.0880126953, propagate_backward_time: 839.2113647461, weight_update_time: 1.3463103771, other_time: 13.0885620117
epoch time: 112.3495864868s, input_fired_time: 1.3475663662, output_fired_time: 0.0000000000, propagate_forward_time: 108.7661590576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2358627319
validation[          , genome  6314] predictions:    6244/  10000 (62.44%), best:    6203/10000 (62.03%), error:     11923.69336, best error:     11699.60449 on epoch:    58, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1410.9252929688s, input_fired_time: 10.7364444733, output_fired_time: 10.0649070740, propagate_forward_time: 541.0222778320, propagate_backward_time: 835.9257202148, weight_update_time: 1.3465211391, other_time: 13.1759033203
epoch time: 111.0521545410s, input_fired_time: 1.3458164930, output_fired_time: 0.0000000000, propagate_forward_time: 107.4481124878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2582244873
validation[          , genome  6314] predictions:    6222/  10000 (62.22%), best:    6203/10000 (62.03%), error:     12000.11719, best error:     11699.60449 on epoch:    58, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1419.0617675781s, input_fired_time: 10.7853975296, output_fired_time: 10.1147193909, propagate_forward_time: 544.2497558594, propagate_backward_time: 840.7149047852, weight_update_time: 1.3624808788, other_time: 13.1969604492
epoch time: 111.7722702026s, input_fired_time: 1.3508465290, output_fired_time: 0.0000000000, propagate_forward_time: 108.1697921753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2516326904
validation[          , genome  6314] predictions:    6247/  10000 (62.47%), best:    6203/10000 (62.03%), error:     11901.23730, best error:     11699.60449 on epoch:    58, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1414.1741943359s, input_fired_time: 10.7601108551, output_fired_time: 10.0572175980, propagate_forward_time: 542.5984497070, propagate_backward_time: 837.6224365234, weight_update_time: 1.3516162634, other_time: 13.1359252930
epoch time: 112.0558547974s, input_fired_time: 1.3499249220, output_fired_time: 0.0000000000, propagate_forward_time: 108.4649353027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2409973145
validation[          , genome  6314] predictions:    6267/  10000 (62.67%), best:    6203/10000 (62.03%), error:     11939.10742, best error:     11699.60449 on epoch:    58, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1472.6148681641s, input_fired_time: 11.1238126755, output_fired_time: 10.4683446884, propagate_forward_time: 563.3673095703, propagate_backward_time: 874.1350097656, weight_update_time: 1.3830679655, other_time: 13.5203857422
epoch time: 116.8548660278s, input_fired_time: 1.3766497374, output_fired_time: 0.0000000000, propagate_forward_time: 113.1224975586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3557205200
validation[          , genome  6314] predictions:    6276/  10000 (62.76%), best:    6203/10000 (62.03%), error:     11932.30469, best error:     11699.60449 on epoch:    58, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1420.0562744141s, input_fired_time: 10.8243103027, output_fired_time: 10.1521682739, propagate_forward_time: 545.3332519531, propagate_backward_time: 840.4314575195, weight_update_time: 1.3615602255, other_time: 13.3150024414
epoch time: 111.2786026001s, input_fired_time: 1.3482820988, output_fired_time: 0.0000000000, propagate_forward_time: 107.6668853760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2634353638
validation[          , genome  6314] predictions:    6251/  10000 (62.51%), best:    6203/10000 (62.03%), error:     12037.43066, best error:     11699.60449 on epoch:    58, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 556.8229980469s, input_fired_time: 6.5753951073, output_fired_time: 0.0000000000, propagate_forward_time: 538.9003295898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.3472900391
best training[          , genome  6314] predictions:   39275/  50000 (78.55%), best:    6203/10000 (62.03%), error:     32157.49023, best error:     11699.60449 on epoch:    58, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 110.8336410522s, input_fired_time: 1.3130749464, output_fired_time: 0.0000000000, propagate_forward_time: 107.2712783813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2492904663
   testing[          , genome  6314] predictions:    6203/  10000 (62.03%), best:    6203/10000 (62.03%), error:     11699.60449, best error:     11699.60449 on epoch:    58, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
10:24:18 (12968): called boinc_finish(0)

</stderr_txt>
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