Nameexact_genome_1542189904_173_5901_0
Workunit4088833
Created14 Nov 2018, 14:17:08 UTC
Sent14 Nov 2018, 14:21:10 UTC
Report deadline16 Dec 2018, 1:56:21 UTC
Received12 Dec 2018, 11:09:13 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time17 hours 0 min 35 sec
CPU time13 hours 1 min 52 sec
Validate stateValid
Credit7,870.69
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size579.92 MB
Peak swap size601.31 MB
Peak disk usage12.47 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.548251
read mu: 0.548251
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.00219183
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000320429
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '562634737'
read generator: 562634737
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 831527018
post shuffle 1: 825750040
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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.548251
read mu: 0.548251
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.00219183
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000320429
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '562634737'
read generator: 562634737
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 831527018
post shuffle 1: 825750040
epoch time: 1972.96276855469s, input_fired_time: 25.4711475372314, output_fired_time: 9.75061130523682, propagate_forward_time: 727.883239746094, propagate_backward_time: 1193.52624511719, weight_update_time: 0.364079684019089, other_time: 16.3314208984375
epoch time: 154.936950683594s, input_fired_time: 2.01029896736145, output_fired_time: 0, propagate_forward_time: 149.807418823242, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.11923217773438
validation[          , genome  5901] predictions:    5825/  10000 (58.25%), best:    5825/10000 (58.25%), error:     12143.17285, best error:     12143.17285 on epoch:     0, epoch:    0/25, mu: 0.5482512116, learning_rate: 0.0021918274, weight_decay: 0.0003204294

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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_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: 0.548251
read mu: 0.560625
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.00200638
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000293145
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5825
read best_validation_error: 12143.2
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '1730615562'
read generator: 1730615562
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_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: 0.548251
read mu: 0.560625
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.00200638
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000293145
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5825
read best_validation_error: 12143.2
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '1730615562'
read generator: 1730615562
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_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: 0.548251
read mu: 0.560625
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.00200638
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000293145
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5825
read best_validation_error: 12143.2
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '1730615562'
read generator: 1730615562
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 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: 2047.08471679688s, input_fired_time: 27.0704441070557, output_fired_time: 10.0313720703125, propagate_forward_time: 752.943542480469, propagate_backward_time: 1239.43896484375, weight_update_time: 0.413001000881195, other_time: 17.600341796875
epoch time: 164.617797851563s, input_fired_time: 1.99078178405762, output_fired_time: 0, propagate_forward_time: 159.532104492188, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.09490966796875
validation[          , genome  5901] predictions:    5938/  10000 (59.38%), best:    5938/10000 (59.38%), error:     11795.92383, best error:     11795.92383 on epoch:     1, epoch:    1/25, mu: 0.5606245995, learning_rate: 0.0020063780, weight_decay: 0.0002931454

epoch time: 1916.6940917969s, input_fired_time: 24.8996315002, output_fired_time: 9.6023178101, propagate_forward_time: 708.7959594727, propagate_backward_time: 1157.8107910156, weight_update_time: 0.3835049570, other_time: 15.5854492188
epoch time: 158.1322631836s, input_fired_time: 1.8706183434, output_fired_time: 0.0000000000, propagate_forward_time: 153.2749023438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9867401123
validation[          , genome  5901] predictions:    5890/  10000 (58.90%), best:    5938/10000 (59.38%), error:     11888.36230, best error:     11795.92383 on epoch:     1, epoch:    2/25, mu: 0.5726513863, learning_rate: 0.0018366195, weight_decay: 0.0002681846

epoch time: 1928.5446777344s, input_fired_time: 25.1785812378, output_fired_time: 9.5741157532, propagate_forward_time: 712.6107788086, propagate_backward_time: 1164.9348144531, weight_update_time: 0.3814767003, other_time: 16.2463378906
epoch time: 135.7727813721s, input_fired_time: 1.5898634195, output_fired_time: 0.0000000000, propagate_forward_time: 131.7493133545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4336090088
validation[          , genome  5901] predictions:    5861/  10000 (58.61%), best:    5861/10000 (58.61%), error:     11791.14063, best error:     11791.14063 on epoch:     3, epoch:    3/25, mu: 0.5843412876, learning_rate: 0.0016812241, weight_decay: 0.0002453491

epoch time: 1934.2154541016s, input_fired_time: 25.0030040741, output_fired_time: 9.4091625214, propagate_forward_time: 713.8876342773, propagate_backward_time: 1169.8165283203, weight_update_time: 0.3745389581, other_time: 16.0989990234
epoch time: 134.8937835693s, input_fired_time: 1.6240388155, output_fired_time: 0.0000000000, propagate_forward_time: 130.7988128662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4709320068
validation[          , genome  5901] predictions:    5946/  10000 (59.46%), best:    5946/10000 (59.46%), error:     11670.12012, best error:     11670.12012 on epoch:     4, epoch:    4/25, mu: 0.5957037807, learning_rate: 0.0015389767, weight_decay: 0.0002244581

epoch time: 1779.3310546875s, input_fired_time: 23.0268402100, output_fired_time: 8.6620216370, propagate_forward_time: 661.8736572266, propagate_backward_time: 1070.6778564453, weight_update_time: 0.3315945864, other_time: 15.0906982422
epoch time: 162.3243865967s, input_fired_time: 2.0061149597, output_fired_time: 0.0000000000, propagate_forward_time: 157.1110992432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2071685791
validation[          , genome  5901] predictions:    5880/  10000 (58.80%), best:    5946/10000 (59.46%), error:     11899.30371, best error:     11670.12012 on epoch:     4, epoch:    5/25, mu: 0.6067479849, learning_rate: 0.0014087647, weight_decay: 0.0002053459

epoch time: 2028.3953857422s, input_fired_time: 26.5340690613, output_fired_time: 10.0545597076, propagate_forward_time: 746.9488525391, propagate_backward_time: 1227.7015380859, weight_update_time: 0.3782806098, other_time: 17.1563720703
epoch time: 142.2392425537s, input_fired_time: 1.7155320644, output_fired_time: 0.0000000000, propagate_forward_time: 137.9642944336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5594177246
validation[          , genome  5901] predictions:    5926/  10000 (59.26%), best:    5926/10000 (59.26%), error:     11669.77734, best error:     11669.77734 on epoch:     6, epoch:    6/25, mu: 0.6174828410, learning_rate: 0.0012895699, weight_decay: 0.0001878610

epoch time: 2240.3288574219s, input_fired_time: 29.4724159241, output_fired_time: 10.9837541580, propagate_forward_time: 820.3192749023, propagate_backward_time: 1360.2158203125, weight_update_time: 0.4942060411, other_time: 19.3376464844
epoch time: 140.8150482178s, input_fired_time: 1.6589018106, output_fired_time: 0.0000000000, propagate_forward_time: 136.4601593018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6959838867
validation[          , genome  5901] predictions:    6059/  10000 (60.59%), best:    6059/10000 (60.59%), error:     11184.27344, best error:     11184.27344 on epoch:     7, epoch:    7/25, mu: 0.6279170513, learning_rate: 0.0011804601, weight_decay: 0.0001718650

epoch time: 2162.8237304688s, input_fired_time: 28.6963901520, output_fired_time: 10.6007690430, propagate_forward_time: 793.4028930664, propagate_backward_time: 1312.0562744141, weight_update_time: 0.4532066882, other_time: 18.0675048828
epoch time: 177.8984527588s, input_fired_time: 2.3673849106, output_fired_time: 0.0000000000, propagate_forward_time: 172.2557525635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2753143311
validation[          , genome  5901] predictions:    6160/  10000 (61.60%), best:    6160/10000 (61.60%), error:     10953.74219, best error:     10953.74219 on epoch:     8, epoch:    8/25, mu: 0.6380589604, learning_rate: 0.0010805820, weight_decay: 0.0001572310

epoch time: 2113.1855468750s, input_fired_time: 27.8948287964, output_fired_time: 10.6424684525, propagate_forward_time: 773.4010620117, propagate_backward_time: 1283.4595947266, weight_update_time: 0.4059130549, other_time: 17.7874755859
epoch time: 143.5471343994s, input_fired_time: 1.7781872749, output_fired_time: 0.0000000000, propagate_forward_time: 139.2308349609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5381164551
validation[          , genome  5901] predictions:    6100/  10000 (61.00%), best:    6160/10000 (61.60%), error:     11062.99902, best error:     10953.74219 on epoch:     8, epoch:    9/25, mu: 0.6479167938, learning_rate: 0.0009891546, weight_decay: 0.0001438430

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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_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: 0.548251
read mu: 0.657499
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.000905463
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000131595
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 6160
read best_validation_error: 10953.7
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '471123910'
read generator: 471123910
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 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_1542189904_173_5901.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542189904_173_5901_0_r211459686_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: 0.548251
read mu: 0.657499
read mu_delta: 0.97199
read initial_learning_rate: 0.00219183
read learning_rate: 0.000905463
read learning_rate_delta: 0.915391
read initial_weight_decay: 0.000320429
read weight_decay: 0.000131595
read weight_decay_delta: 0.914852
read batch_size: 125
read epsilon: 1e-07
read alpha: 0.123342
read input_dropout_probability: 0.00166048
read hidden_dropout_probability: 0.0666595
read velocity_reset: 1769
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 6160
read best_validation_error: 10953.7
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: 5901
read normal distribution: '1 -0.169268846511841 2.24126052856445'
generator_str: '471123910'
read generator: 471123910
read generated_by_map:
1 merge_node 1
reading 89 nodes.
reading 373 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: 1995.68859863281s, input_fired_time: 26.3074741363525, output_fired_time: 9.88612747192383, propagate_forward_time: 737.238098144531, propagate_backward_time: 1204.9638671875, weight_update_time: 0.373477578163147, other_time: 17.29296875
epoch time: 152.272323608398s, input_fired_time: 1.81582033634186, output_fired_time: 0, propagate_forward_time: 147.607971191406, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.84852600097656
validation[          , genome  5901] predictions:    6139/  10000 (61.39%), best:    6160/10000 (61.60%), error:     11075.14355, best error:     10953.74219 on epoch:     8, epoch:   10/25, mu: 0.6574985385, learning_rate: 0.0009054627, weight_decay: 0.0001315951

epoch time: 2008.7126464844s, input_fired_time: 26.4863033295, output_fired_time: 9.9318819046, propagate_forward_time: 739.0275878906, propagate_backward_time: 1216.1036376953, weight_update_time: 0.3897615373, other_time: 17.1632080078
epoch time: 155.8958587646s, input_fired_time: 1.8705706596, output_fired_time: 0.0000000000, propagate_forward_time: 151.0489044189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9763793945
validation[          , genome  5901] predictions:    6104/  10000 (61.04%), best:    6160/10000 (61.60%), error:     11216.11328, best error:     10953.74219 on epoch:     8, epoch:   11/25, mu: 0.6668118834, learning_rate: 0.0008288520, weight_decay: 0.0001203900

epoch time: 1899.6855468750s, input_fired_time: 24.5109291077, output_fired_time: 9.3987064362, propagate_forward_time: 703.3323364258, propagate_backward_time: 1147.0775146484, weight_update_time: 0.4051024020, other_time: 15.3660888672
epoch time: 138.2258758545s, input_fired_time: 1.7005218267, output_fired_time: 0.0000000000, propagate_forward_time: 134.0773162842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4480438232
validation[          , genome  5901] predictions:    6157/  10000 (61.57%), best:    6157/10000 (61.57%), error:     10854.24121, best error:     10854.24121 on epoch:    12, epoch:   12/25, mu: 0.6758643389, learning_rate: 0.0007587233, weight_decay: 0.0001101390

epoch time: 1864.1047363281s, input_fired_time: 23.6008071899, output_fired_time: 8.8841867447, propagate_forward_time: 692.3515625000, propagate_backward_time: 1124.0362548828, weight_update_time: 0.3759152591, other_time: 15.2319335938
epoch time: 146.3299102783s, input_fired_time: 1.7966022491, output_fired_time: 0.0000000000, propagate_forward_time: 141.8129425049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7203674316
validation[          , genome  5901] predictions:    6176/  10000 (61.76%), best:    6157/10000 (61.57%), error:     10900.37305, best error:     10854.24121 on epoch:    12, epoch:   13/25, mu: 0.6846632361, learning_rate: 0.0006945282, weight_decay: 0.0001007609

epoch time: 2096.8410644531s, input_fired_time: 27.5541725159, output_fired_time: 10.2840280533, propagate_forward_time: 769.9732666016, propagate_backward_time: 1271.2878417969, weight_update_time: 0.3724631667, other_time: 17.7418212891
epoch time: 143.1690216064s, input_fired_time: 1.8264559507, output_fired_time: 0.0000000000, propagate_forward_time: 138.2632141113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0793457031
validation[          , genome  5901] predictions:    6265/  10000 (62.65%), best:    6265/10000 (62.65%), error:     10698.50293, best error:     10698.50293 on epoch:    14, epoch:   14/25, mu: 0.6932157278, learning_rate: 0.0006357645, weight_decay: 0.0000921812

epoch time: 1984.0224609375s, input_fired_time: 26.5057144165, output_fired_time: 10.0809783936, propagate_forward_time: 732.6392211914, propagate_backward_time: 1197.1831054688, weight_update_time: 0.3855516315, other_time: 17.6135253906
epoch time: 223.9862518311s, input_fired_time: 2.7602977753, output_fired_time: 0.0000000000, propagate_forward_time: 216.5447387695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6812133789
validation[          , genome  5901] predictions:    6326/  10000 (63.26%), best:    6326/10000 (63.26%), error:     10687.62500, best error:     10687.62500 on epoch:    15, epoch:   15/25, mu: 0.7015286684, learning_rate: 0.0005819728, weight_decay: 0.0000843322

epoch time: 3456.8425292969s, input_fired_time: 46.2744407654, output_fired_time: 18.2607955933, propagate_forward_time: 1258.0876464844, propagate_backward_time: 2101.5334472656, weight_update_time: 0.6267231703, other_time: 32.6862792969
epoch time: 232.0716247559s, input_fired_time: 2.9542448521, output_fired_time: 0.0000000000, propagate_forward_time: 224.4720458984, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6453399658
validation[          , genome  5901] predictions:    6200/  10000 (62.00%), best:    6326/10000 (63.26%), error:     10890.97949, best error:     10687.62500 on epoch:    15, epoch:   16/25, mu: 0.7096087337, learning_rate: 0.0005327324, weight_decay: 0.0000771514

epoch time: 2894.8183593750s, input_fired_time: 39.9667282104, output_fired_time: 14.8539190292, propagate_forward_time: 1064.9291992188, propagate_backward_time: 1748.9205322266, weight_update_time: 0.4779841304, other_time: 26.1478271484
epoch time: 130.1648254395s, input_fired_time: 1.5474363565, output_fired_time: 0.0000000000, propagate_forward_time: 126.3008880615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3164978027
validation[          , genome  5901] predictions:    6336/  10000 (63.36%), best:    6336/10000 (63.36%), error:     10559.61133, best error:     10559.61133 on epoch:    17, epoch:   17/25, mu: 0.7174624801, learning_rate: 0.0004876582, weight_decay: 0.0000705821

epoch time: 2220.7780761719s, input_fired_time: 29.7501468658, output_fired_time: 10.6796178818, propagate_forward_time: 813.8742675781, propagate_backward_time: 1347.5646972656, weight_update_time: 0.3710635900, other_time: 18.9091796875
epoch time: 181.4873199463s, input_fired_time: 2.1384456158, output_fired_time: 0.0000000000, propagate_forward_time: 175.7458953857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6029815674
validation[          , genome  5901] predictions:    6341/  10000 (63.41%), best:    6341/10000 (63.41%), error:     10514.28223, best error:     10514.28223 on epoch:    18, epoch:   18/25, mu: 0.7250962257, learning_rate: 0.0004463977, weight_decay: 0.0000645722

epoch time: 2296.9045410156s, input_fired_time: 30.4856300354, output_fired_time: 11.3811130524, propagate_forward_time: 844.8395996094, propagate_backward_time: 1390.5869140625, weight_update_time: 0.4274742007, other_time: 19.6113281250
epoch time: 142.8302764893s, input_fired_time: 1.6322762966, output_fired_time: 0.0000000000, propagate_forward_time: 138.5983886719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5996093750
validation[          , genome  5901] predictions:    6289/  10000 (62.89%), best:    6341/10000 (63.41%), error:     10736.42871, best error:     10514.28223 on epoch:    18, epoch:   19/25, mu: 0.7325161695, learning_rate: 0.0004086282, weight_decay: 0.0000590740

epoch time: 1987.0833740234s, input_fired_time: 25.5718631744, output_fired_time: 9.8589382172, propagate_forward_time: 738.0461425781, propagate_backward_time: 1197.2254638672, weight_update_time: 0.4077865481, other_time: 16.3809814453
epoch time: 140.7201843262s, input_fired_time: 1.6972026825, output_fired_time: 0.0000000000, propagate_forward_time: 136.5263366699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4966430664
validation[          , genome  5901] predictions:    6313/  10000 (63.13%), best:    6341/10000 (63.41%), error:     10562.55371, best error:     10514.28223 on epoch:    18, epoch:   20/25, mu: 0.7397282720, learning_rate: 0.0003740544, weight_decay: 0.0000540439

epoch time: 1990.9499511719s, input_fired_time: 25.7818889618, output_fired_time: 9.8702564240, propagate_forward_time: 740.2000122070, propagate_backward_time: 1198.4227294922, weight_update_time: 0.3595009148, other_time: 16.6751708984
epoch time: 139.6131286621s, input_fired_time: 1.6187587976, output_fired_time: 0.0000000000, propagate_forward_time: 135.4328918457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5614776611
validation[          , genome  5901] predictions:    6433/  10000 (64.33%), best:    6433/10000 (64.33%), error:     10297.93652, best error:     10297.93652 on epoch:    21, epoch:   21/25, mu: 0.7467383742, learning_rate: 0.0003424059, weight_decay: 0.0000494422

epoch time: 2005.5964355469s, input_fired_time: 25.9605045319, output_fired_time: 9.8317203522, propagate_forward_time: 742.4041748047, propagate_backward_time: 1210.0642089844, weight_update_time: 0.3820912838, other_time: 17.3359375000
epoch time: 141.4297790527s, input_fired_time: 1.6734825373, output_fired_time: 0.0000000000, propagate_forward_time: 137.2201232910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5361785889
validation[          , genome  5901] predictions:    6330/  10000 (63.30%), best:    6433/10000 (64.33%), error:     10576.06738, best error:     10297.93652 on epoch:    21, epoch:   22/25, mu: 0.7535521388, learning_rate: 0.0003134351, weight_decay: 0.0000452323

epoch time: 1790.2789306641s, input_fired_time: 22.9847202301, output_fired_time: 8.9121274948, propagate_forward_time: 669.3967285156, propagate_backward_time: 1074.4913330078, weight_update_time: 0.3397378027, other_time: 14.4940185547
epoch time: 163.3009948730s, input_fired_time: 1.8830075264, output_fired_time: 0.0000000000, propagate_forward_time: 158.3375701904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0804138184
validation[          , genome  5901] predictions:    6416/  10000 (64.16%), best:    6433/10000 (64.33%), error:     10374.97168, best error:     10297.93652 on epoch:    21, epoch:   23/25, mu: 0.7601750493, learning_rate: 0.0002869155, weight_decay: 0.0000413808

epoch time: 2525.3840332031s, input_fired_time: 33.3068771362, output_fired_time: 12.9503602982, propagate_forward_time: 916.0758056641, propagate_backward_time: 1540.6444091797, weight_update_time: 0.4938501418, other_time: 22.4064941406
epoch time: 202.5352020264s, input_fired_time: 2.4265878201, output_fired_time: 0.0000000000, propagate_forward_time: 196.1865844727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9220275879
validation[          , genome  5901] predictions:    6427/  10000 (64.27%), best:    6427/10000 (64.27%), error:     10254.36230, best error:     10254.36230 on epoch:    24, epoch:   24/25, mu: 0.7666124105, learning_rate: 0.0002626398, weight_decay: 0.0000378573

epoch time: 2764.3864746094s, input_fired_time: 36.7840423584, output_fired_time: 13.5245418549, propagate_forward_time: 998.3403320313, propagate_backward_time: 1691.2229003906, weight_update_time: 0.5174759030, other_time: 24.5146484375
epoch time: 205.1574096680s, input_fired_time: 2.8207135201, output_fired_time: 0.0000000000, propagate_forward_time: 198.3191223145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0175781250
validation[          , genome  5901] predictions:    6415/  10000 (64.15%), best:    6427/10000 (64.27%), error:     10265.55273, best error:     10254.36230 on epoch:    24, epoch:   25/25, mu: 0.7728694677, learning_rate: 0.0002404180, weight_decay: 0.0000346338

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 934.3229370117s, input_fired_time: 11.1629104614, output_fired_time: 0.0000000000, propagate_forward_time: 904.8461914063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.3138427734
best training[          , genome  5901] predictions:   36111/  50000 (72.22%), best:    6427/10000 (64.27%), error:     41881.23828, best error:     10254.36230 on epoch:    24, epoch:   26/25, mu: 0.7789512873, learning_rate: 0.0002200763, weight_decay: 0.0000316848
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 158.4393768311s, input_fired_time: 1.8844493628, output_fired_time: 0.0000000000, propagate_forward_time: 153.6161804199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9387512207
   testing[          , genome  5901] predictions:    6427/  10000 (64.27%), best:    6427/10000 (64.27%), error:     10254.36230, best error:     10254.36230 on epoch:    24, epoch:   26/25, mu: 0.7789512873, learning_rate: 0.0002200763, weight_decay: 0.0000316848
backpropagation finished successfully!
04:08:51 (4180): called boinc_finish(0)

</stderr_txt>
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