Nameexact_genome_1542277804_181_5986_2
Workunit4090816
Created15 Nov 2018, 15:39:12 UTC
Sent15 Nov 2018, 15:43:40 UTC
Report deadline3 Jan 2019, 16:36:12 UTC
Received17 Nov 2018, 11:31:34 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time21 hours 13 min 32 sec
CPU time21 hours 5 min 44 sec
Validate stateValid
Credit12,259.12
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size541.95 MB
Peak swap size540.18 MB
Peak disk usage10.77 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_181_5986_2_r1845267426_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: 0.482192
read mu: 0.884526
read mu_delta: 0.941343
read initial_learning_rate: 0.00159484
read learning_rate: 0.000177412
read learning_rate_delta: 0.919005
read initial_weight_decay: 0.0004334
read weight_decay: 6.80486e-05
read weight_decay_delta: 0.931267
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.0579098
read input_dropout_probability: 0.0013118
read hidden_dropout_probability: 0.106669
read velocity_reset: 1252
read epoch: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6086
read best_validation_error: 11345.6
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: 5986
read normal distribution: '1 0 0'
generator_str: '588409244'
read generator: 588409244
read generated_by_map:
1 disable_node 1
reading 86 nodes.
reading 324 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: 1378.0126953125s, input_fired_time: 14.4724397659302, output_fired_time: 7.08652973175049, propagate_forward_time: 532.925048828125, propagate_backward_time: 812.1962890625, weight_update_time: 0.387516677379608, other_time: 11.3323974609375
epoch time: 109.970726013184s, input_fired_time: 1.09031105041504, output_fired_time: 0, propagate_forward_time: 106.98511505127, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.89530181884766
validation[          , genome  5986] predictions:    6102/  10000 (61.02%), best:    6102/10000 (61.02%), error:     11310.62598, best error:     11310.62598 on epoch:    26, epoch:   26/50, mu: 0.8845258951, learning_rate: 0.0001774118, weight_decay: 0.0000680486

epoch time: 1380.9233398438s, input_fired_time: 14.5093832016, output_fired_time: 7.1154494286, propagate_forward_time: 533.5863647461, propagate_backward_time: 814.4703979492, weight_update_time: 0.3910092413, other_time: 11.2416992188
epoch time: 110.2676086426s, input_fired_time: 1.0891358852, output_fired_time: 0.0000000000, propagate_forward_time: 107.2956542969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8828201294
validation[          , genome  5986] predictions:    5965/  10000 (59.65%), best:    6102/10000 (61.02%), error:     11544.88281, best error:     11310.62598 on epoch:    26, epoch:   27/50, mu: 0.8907126784, learning_rate: 0.0001630424, weight_decay: 0.0000633714

epoch time: 1377.6049804688s, input_fired_time: 14.5542392731, output_fired_time: 7.1048984528, propagate_forward_time: 532.8571777344, propagate_backward_time: 811.8778076172, weight_update_time: 0.3870823681, other_time: 11.2109375000
epoch time: 110.1913146973s, input_fired_time: 1.0905950069, output_fired_time: 0.0000000000, propagate_forward_time: 107.1907348633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9099884033
validation[          , genome  5986] predictions:    6022/  10000 (60.22%), best:    6102/10000 (61.02%), error:     11511.56152, best error:     11310.62598 on epoch:    26, epoch:   28/50, mu: 0.8965365887, learning_rate: 0.0001498368, weight_decay: 0.0000590157

epoch time: 1371.8649902344s, input_fired_time: 14.4489727020, output_fired_time: 7.0658535957, propagate_forward_time: 530.8969116211, propagate_backward_time: 808.2951049805, weight_update_time: 0.3908674419, other_time: 11.1582031250
epoch time: 109.3109512329s, input_fired_time: 1.0844519138, output_fired_time: 0.0000000000, propagate_forward_time: 106.3563079834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8701934814
validation[          , genome  5986] predictions:    6054/  10000 (60.54%), best:    6102/10000 (61.02%), error:     11481.85742, best error:     11310.62598 on epoch:    26, epoch:   29/50, mu: 0.9020188451, learning_rate: 0.0001377007, weight_decay: 0.0000549594

epoch time: 1366.8751220703s, input_fired_time: 14.4115943909, output_fired_time: 7.0443844795, propagate_forward_time: 529.1584472656, propagate_backward_time: 805.1278076172, weight_update_time: 0.3879718184, other_time: 11.1328125000
epoch time: 109.5578308105s, input_fired_time: 1.0836168528, output_fired_time: 0.0000000000, propagate_forward_time: 106.5965347290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8776779175
validation[          , genome  5986] predictions:    6081/  10000 (60.81%), best:    6102/10000 (61.02%), error:     11393.25684, best error:     11310.62598 on epoch:    26, epoch:   30/50, mu: 0.9071795344, learning_rate: 0.0001265477, weight_decay: 0.0000511819

epoch time: 1366.5268554688s, input_fired_time: 14.4144172668, output_fired_time: 7.0229835510, propagate_forward_time: 528.4599609375, propagate_backward_time: 805.5180053711, weight_update_time: 0.3875800669, other_time: 11.1115112305
epoch time: 109.3637466431s, input_fired_time: 1.0848706961, output_fired_time: 0.0000000000, propagate_forward_time: 106.4058227539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8730545044
validation[          , genome  5986] predictions:    5962/  10000 (59.62%), best:    6102/10000 (61.02%), error:     11884.90234, best error:     11310.62598 on epoch:    26, epoch:   31/50, mu: 0.9120375514, learning_rate: 0.0001162980, weight_decay: 0.0000476640

epoch time: 1365.6132812500s, input_fired_time: 14.4114389420, output_fired_time: 7.0357542038, propagate_forward_time: 528.7393798828, propagate_backward_time: 804.3462524414, weight_update_time: 0.3855724335, other_time: 11.0803833008
epoch time: 109.3008422852s, input_fired_time: 1.0860394239, output_fired_time: 0.0000000000, propagate_forward_time: 106.3458023071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8690032959
validation[          , genome  5986] predictions:    5786/  10000 (57.86%), best:    6102/10000 (61.02%), error:     12096.00586, best error:     11310.62598 on epoch:    26, epoch:   32/50, mu: 0.9166105986, learning_rate: 0.0001068784, weight_decay: 0.0000443879

epoch time: 1366.9367675781s, input_fired_time: 14.3925914764, output_fired_time: 7.0360541344, propagate_forward_time: 528.8076171875, propagate_backward_time: 805.5841064453, weight_update_time: 0.3855169713, other_time: 11.1164550781
epoch time: 109.1208877563s, input_fired_time: 1.0931051970, output_fired_time: 0.0000000000, propagate_forward_time: 106.1462402344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8815460205
validation[          , genome  5986] predictions:    6147/  10000 (61.47%), best:    6147/10000 (61.47%), error:     11173.55566, best error:     11173.55566 on epoch:    33, epoch:   33/50, mu: 0.9209154248, learning_rate: 0.0000982218, weight_decay: 0.0000413370

epoch time: 1366.0860595703s, input_fired_time: 14.4221334457, output_fired_time: 7.0282917023, propagate_forward_time: 528.2940673828, propagate_backward_time: 805.2230224609, weight_update_time: 0.3899223804, other_time: 11.1185302734
epoch time: 109.2330169678s, input_fired_time: 1.0895974636, output_fired_time: 0.0000000000, propagate_forward_time: 106.2681961060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8752212524
validation[          , genome  5986] predictions:    6017/  10000 (60.17%), best:    6147/10000 (61.47%), error:     11407.42188, best error:     11173.55566 on epoch:    33, epoch:   34/50, mu: 0.9249677062, learning_rate: 0.0000902663, weight_decay: 0.0000384958

epoch time: 1369.2860107422s, input_fired_time: 14.4754981995, output_fired_time: 7.0648975372, propagate_forward_time: 530.8653564453, propagate_backward_time: 805.7949218750, weight_update_time: 0.3878446519, other_time: 11.0853271484
epoch time: 109.9317932129s, input_fired_time: 1.0934299231, output_fired_time: 0.0000000000, propagate_forward_time: 106.9587478638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8796157837
validation[          , genome  5986] predictions:    6044/  10000 (60.44%), best:    6147/10000 (61.47%), error:     11386.25879, best error:     11173.55566 on epoch:    33, epoch:   35/50, mu: 0.9287822843, learning_rate: 0.0000829552, weight_decay: 0.0000358498

epoch time: 1369.4860839844s, input_fired_time: 14.5011301041, output_fired_time: 7.0802516937, propagate_forward_time: 531.1427001953, propagate_backward_time: 805.6393432617, weight_update_time: 0.3919321299, other_time: 11.1227416992
epoch time: 110.0438919067s, input_fired_time: 1.0959291458, output_fired_time: 0.0000000000, propagate_forward_time: 107.0690155029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8789443970
validation[          , genome  5986] predictions:    6144/  10000 (61.44%), best:    6147/10000 (61.47%), error:     11242.62500, best error:     11173.55566 on epoch:    33, epoch:   36/50, mu: 0.9323731065, learning_rate: 0.0000762362, weight_decay: 0.0000333858

epoch time: 1369.4437255859s, input_fired_time: 14.5081405640, output_fired_time: 7.0714807510, propagate_forward_time: 531.2965698242, propagate_backward_time: 805.4371337891, weight_update_time: 0.3903435171, other_time: 11.1303100586
epoch time: 109.9282150269s, input_fired_time: 1.1033341885, output_fired_time: 0.0000000000, propagate_forward_time: 106.9321594238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8927230835
validation[          , genome  5986] predictions:    6142/  10000 (61.42%), best:    6142/10000 (61.42%), error:     11088.79492, best error:     11088.79492 on epoch:    37, epoch:   37/50, mu: 0.9357533455, learning_rate: 0.0000700615, weight_decay: 0.0000310911

epoch time: 1367.2017822266s, input_fired_time: 14.4655990601, output_fired_time: 7.0478358269, propagate_forward_time: 530.3385620117, propagate_backward_time: 804.2381591797, weight_update_time: 0.3886826634, other_time: 11.1116333008
epoch time: 109.5306930542s, input_fired_time: 1.1049941778, output_fired_time: 0.0000000000, propagate_forward_time: 106.5506896973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8750076294
validation[          , genome  5986] predictions:    6139/  10000 (61.39%), best:    6142/10000 (61.42%), error:     11111.57617, best error:     11088.79492 on epoch:    37, epoch:   38/50, mu: 0.9389352798, learning_rate: 0.0000643869, weight_decay: 0.0000289541

epoch time: 1372.3648681641s, input_fired_time: 14.4985876083, output_fired_time: 7.0922613144, propagate_forward_time: 532.0353393555, propagate_backward_time: 807.6179809570, weight_update_time: 0.3902746439, other_time: 11.1207275391
epoch time: 109.6259460449s, input_fired_time: 1.0890202522, output_fired_time: 0.0000000000, propagate_forward_time: 106.6608047485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8761215210
validation[          , genome  5986] predictions:    6048/  10000 (60.48%), best:    6142/10000 (61.42%), error:     11364.71875, best error:     11088.79492 on epoch:    37, epoch:   39/50, mu: 0.9419305921, learning_rate: 0.0000591719, weight_decay: 0.0000269640

epoch time: 1366.9067382813s, input_fired_time: 14.4682188034, output_fired_time: 7.0341153145, propagate_forward_time: 529.5881958008, propagate_backward_time: 804.7178344727, weight_update_time: 0.3890947998, other_time: 11.0983886719
epoch time: 109.3928756714s, input_fired_time: 1.0981540680, output_fired_time: 0.0000000000, propagate_forward_time: 106.4217376709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8729858398
validation[          , genome  5986] predictions:    6041/  10000 (60.41%), best:    6142/10000 (61.42%), error:     11408.25488, best error:     11088.79492 on epoch:    37, epoch:   40/50, mu: 0.9447501898, learning_rate: 0.0000543792, weight_decay: 0.0000251107

epoch time: 1365.7111816406s, input_fired_time: 14.4675302505, output_fired_time: 7.0046854019, propagate_forward_time: 528.6841430664, propagate_backward_time: 804.4552612305, weight_update_time: 0.3868387640, other_time: 11.0996093750
epoch time: 109.3195037842s, input_fired_time: 1.1029592752, output_fired_time: 0.0000000000, propagate_forward_time: 106.3319931030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8845520020
validation[          , genome  5986] predictions:    6212/  10000 (62.12%), best:    6212/10000 (62.12%), error:     11049.66992, best error:     11049.66992 on epoch:    41, epoch:   41/50, mu: 0.9474043846, learning_rate: 0.0000499748, weight_decay: 0.0000233847

epoch time: 1364.8094482422s, input_fired_time: 14.4652709961, output_fired_time: 7.0311822891, propagate_forward_time: 527.9914550781, propagate_backward_time: 804.2325439453, weight_update_time: 0.3857052028, other_time: 11.0891113281
epoch time: 109.1071701050s, input_fired_time: 1.0976799726, output_fired_time: 0.0000000000, propagate_forward_time: 106.1433334351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8661575317
validation[          , genome  5986] predictions:    6171/  10000 (61.71%), best:    6171/10000 (61.71%), error:     10983.92285, best error:     10983.92285 on epoch:    42, epoch:   42/50, mu: 0.9499028921, learning_rate: 0.0000459271, weight_decay: 0.0000217774

epoch time: 1365.3842773438s, input_fired_time: 14.4960947037, output_fired_time: 7.0449142456, propagate_forward_time: 528.5747680664, propagate_backward_time: 804.1870727539, weight_update_time: 0.3889717162, other_time: 11.0814208984
epoch time: 109.4367599487s, input_fired_time: 1.0979559422, output_fired_time: 0.0000000000, propagate_forward_time: 106.4547042847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8841018677
validation[          , genome  5986] predictions:    6165/  10000 (61.65%), best:    6171/10000 (61.71%), error:     11126.93652, best error:     10983.92285 on epoch:    42, epoch:   43/50, mu: 0.9522548914, learning_rate: 0.0000422072, weight_decay: 0.0000202806

epoch time: 1403.5678710938s, input_fired_time: 14.6828699112, output_fired_time: 7.2312259674, propagate_forward_time: 544.0925292969, propagate_backward_time: 826.2656860352, weight_update_time: 0.3949509859, other_time: 11.2955932617
epoch time: 113.8101959229s, input_fired_time: 1.1395509243, output_fired_time: 0.0000000000, propagate_forward_time: 110.7435684204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9270782471
validation[          , genome  5986] predictions:    6173/  10000 (61.73%), best:    6171/10000 (61.71%), error:     11054.44043, best error:     10983.92285 on epoch:    42, epoch:   44/50, mu: 0.9544689059, learning_rate: 0.0000387887, weight_decay: 0.0000188867

epoch time: 1381.6292724609s, input_fired_time: 14.5690832138, output_fired_time: 7.0976872444, propagate_forward_time: 534.7689208984, propagate_backward_time: 813.9322509766, weight_update_time: 0.3882887959, other_time: 11.2613525391
epoch time: 109.0338516235s, input_fired_time: 1.0998566151, output_fired_time: 0.0000000000, propagate_forward_time: 106.0550155640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8789825439
validation[          , genome  5986] predictions:    6189/  10000 (61.89%), best:    6171/10000 (61.71%), error:     11021.01953, best error:     10983.92285 on epoch:    42, epoch:   45/50, mu: 0.9565530419, learning_rate: 0.0000356470, weight_decay: 0.0000175885

epoch time: 1361.4008789063s, input_fired_time: 14.4563913345, output_fired_time: 6.9900364876, propagate_forward_time: 527.2141723633, propagate_backward_time: 801.6499633789, weight_update_time: 0.3846311271, other_time: 11.0903320313
epoch time: 109.5595169067s, input_fired_time: 1.0997340679, output_fired_time: 0.0000000000, propagate_forward_time: 106.5898208618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8699645996
validation[          , genome  5986] predictions:    6203/  10000 (62.03%), best:    6171/10000 (61.71%), error:     11051.68848, best error:     10983.92285 on epoch:    42, epoch:   46/50, mu: 0.9585149288, learning_rate: 0.0000327597, weight_decay: 0.0000163796

epoch time: 1364.3195800781s, input_fired_time: 14.4895572662, output_fired_time: 7.0359730721, propagate_forward_time: 529.5843505859, propagate_backward_time: 802.1429443359, weight_update_time: 0.3865434527, other_time: 11.0667724609
epoch time: 109.5833511353s, input_fired_time: 1.0998167992, output_fired_time: 0.0000000000, propagate_forward_time: 106.6097946167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8737411499
validation[          , genome  5986] predictions:    6228/  10000 (62.28%), best:    6228/10000 (62.28%), error:     10976.48926, best error:     10976.48926 on epoch:    47, epoch:   47/50, mu: 0.9603617191, learning_rate: 0.0000301064, weight_decay: 0.0000152538

epoch time: 1365.6853027344s, input_fired_time: 14.5122900009, output_fired_time: 7.0544457436, propagate_forward_time: 530.2525634766, propagate_backward_time: 802.7652587891, weight_update_time: 0.3903061450, other_time: 11.1007080078
epoch time: 109.4441375732s, input_fired_time: 1.1021028757, output_fired_time: 0.0000000000, propagate_forward_time: 106.4737396240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8682937622
validation[          , genome  5986] predictions:    6234/  10000 (62.34%), best:    6234/10000 (62.34%), error:     10941.71387, best error:     10941.71387 on epoch:    48, epoch:   48/50, mu: 0.9621002078, learning_rate: 0.0000276679, weight_decay: 0.0000142054

epoch time: 1372.1533203125s, input_fired_time: 14.5812921524, output_fired_time: 7.0748772621, propagate_forward_time: 532.2225952148, propagate_backward_time: 807.1593017578, weight_update_time: 0.3903189301, other_time: 11.1152954102
epoch time: 109.3510971069s, input_fired_time: 1.1008652449, output_fired_time: 0.0000000000, propagate_forward_time: 106.3818893433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8683395386
validation[          , genome  5986] predictions:    6233/  10000 (62.33%), best:    6233/10000 (62.33%), error:     10936.56738, best error:     10936.56738 on epoch:    49, epoch:   49/50, mu: 0.9637367129, learning_rate: 0.0000254269, weight_decay: 0.0000132290

epoch time: 1364.0173339844s, input_fired_time: 14.5122079849, output_fired_time: 7.0305743217, propagate_forward_time: 529.6697998047, propagate_backward_time: 801.7660522461, weight_update_time: 0.3903169334, other_time: 11.0387573242
epoch time: 109.4212493896s, input_fired_time: 1.1031265259, output_fired_time: 0.0000000000, propagate_forward_time: 106.4469299316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8711929321
validation[          , genome  5986] predictions:    6261/  10000 (62.61%), best:    6261/10000 (62.61%), error:     10859.80664, best error:     10859.80664 on epoch:    50, epoch:   50/50, mu: 0.9652772546, learning_rate: 0.0000233675, weight_decay: 0.0000123197

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 543.5733642578s, input_fired_time: 5.4935827255, output_fired_time: 0.0000000000, propagate_forward_time: 528.6960449219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.3837280273
best training[          , genome  5986] predictions:   34291/  50000 (68.58%), best:    6261/10000 (62.61%), error:     47453.48047, best error:     10859.80664 on epoch:    50, epoch:   51/50, mu: 0.9667274356, learning_rate: 0.0000214748, weight_decay: 0.0000114729
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 109.2510681152s, input_fired_time: 1.0994321108, output_fired_time: 0.0000000000, propagate_forward_time: 106.2800827026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8715515137
   testing[          , genome  5986] predictions:    6261/  10000 (62.61%), best:    6261/10000 (62.61%), error:     10859.80664, best error:     10859.80664 on epoch:    50, epoch:   51/50, mu: 0.9667274356, learning_rate: 0.0000214748, weight_decay: 0.0000114729
backpropagation finished successfully!
04:59:05 (6576): called boinc_finish(0)

</stderr_txt>
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