Nameexact_genome_1542127803_175_5808_0
Workunit4086758
Created13 Nov 2018, 18:15:51 UTC
Sent13 Nov 2018, 18:37:32 UTC
Report deadline2 Jan 2019, 3:22:57 UTC
Received15 Nov 2018, 17:38:58 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time21 hours 18 min 5 sec
CPU time21 hours 9 min 1 sec
Validate stateValid
Credit12,341.22
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.91 MB
Peak swap size522.31 MB
Peak disk usage11.26 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>

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: 1362.38427734375s, input_fired_time: 9.52275657653809, output_fired_time: 9.10213279724121, propagate_forward_time: 516.312377929688, propagate_backward_time: 815.266418457031, weight_update_time: 1.24811995029449, other_time: 12.1806030273438
epoch time: 106.239936828613s, input_fired_time: 1.20031213760376, output_fired_time: 0, propagate_forward_time: 102.932388305664, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.10723876953125
validation[          , genome  5808] predictions:    5782/  10000 (57.82%), best:    5752/10000 (57.52%), error:     13305.55176, best error:     13123.19727 on epoch:    17, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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_1542127803_175_5808.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_175_5808_0_r588573886_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 17
read number_validation_images: 10000
read best_validation_predictions: 5752
read best_validation_error: 13123.2
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: 5808
read normal distribution: '1 0 0'
generator_str: '1077481062'
read generator: 1077481062
read generated_by_map:
1 crossover 1
reading 89 nodes.
reading 367 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: 1522.35217285156s, input_fired_time: 10.4661703109741, output_fired_time: 10.2201881408691, propagate_forward_time: 579.764465332031, propagate_backward_time: 908.524719238281, weight_update_time: 1.35882043838501, other_time: 13.3765869140625
epoch time: 119.424942016602s, input_fired_time: 1.28664016723633, output_fired_time: 0, propagate_forward_time: 115.820602416992, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.31770324707031
validation[          , genome  5808] predictions:    5659/  10000 (56.59%), best:    5752/10000 (57.52%), error:     13722.90918, best error:     13123.19727 on epoch:    17, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1566.8497314453s, input_fired_time: 10.7577714920, output_fired_time: 10.5305128098, propagate_forward_time: 597.0894165039, propagate_backward_time: 934.6591796875, weight_update_time: 1.3906913996, other_time: 13.8128051758
epoch time: 117.6005859375s, input_fired_time: 1.2694013119, output_fired_time: 0.0000000000, propagate_forward_time: 114.0630493164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2681350708
validation[          , genome  5808] predictions:    5629/  10000 (56.29%), best:    5752/10000 (57.52%), error:     13380.11523, best error:     13123.19727 on epoch:    17, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1529.8243408203s, input_fired_time: 10.5161552429, output_fired_time: 10.2316551208, propagate_forward_time: 583.8662109375, propagate_backward_time: 911.8222045898, weight_update_time: 1.3683407307, other_time: 13.3881225586
epoch time: 129.0198364258s, input_fired_time: 1.4048750401, output_fired_time: 0.0000000000, propagate_forward_time: 125.1728897095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4420700073
validation[          , genome  5808] predictions:    4875/  10000 (48.75%), best:    5752/10000 (57.52%), error:     18089.75586, best error:     13123.19727 on epoch:    17, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1612.6092529297s, input_fired_time: 10.1620597839, output_fired_time: 9.7705163956, propagate_forward_time: 712.9620361328, propagate_backward_time: 866.7916870117, weight_update_time: 1.3069970608, other_time: 12.9229125977
epoch time: 108.7479476929s, input_fired_time: 1.2222533226, output_fired_time: 0.0000000000, propagate_forward_time: 105.3747787476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1509170532
validation[          , genome  5808] predictions:    5700/  10000 (57.00%), best:    5752/10000 (57.52%), error:     13534.03027, best error:     13123.19727 on epoch:    17, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1386.0111083984s, input_fired_time: 9.7494001389, output_fired_time: 9.2982482910, propagate_forward_time: 526.2250976563, propagate_backward_time: 828.2526245117, weight_update_time: 1.2768769264, other_time: 12.4857788086
epoch time: 108.7426300049s, input_fired_time: 1.1995397806, output_fired_time: 0.0000000000, propagate_forward_time: 105.3934097290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1496810913
validation[          , genome  5808] predictions:    5720/  10000 (57.20%), best:    5752/10000 (57.52%), error:     13657.84863, best error:     13123.19727 on epoch:    17, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1387.4257812500s, input_fired_time: 9.7671976089, output_fired_time: 9.3173246384, propagate_forward_time: 527.0536499023, propagate_backward_time: 828.8404541016, weight_update_time: 1.2817325592, other_time: 12.4470825195
epoch time: 108.7370452881s, input_fired_time: 1.2343755960, output_fired_time: 0.0000000000, propagate_forward_time: 105.3556365967, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1470336914
validation[          , genome  5808] predictions:    5747/  10000 (57.47%), best:    5747/10000 (57.47%), error:     12749.00879, best error:     12749.00879 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1388.9324951172s, input_fired_time: 9.7823886871, output_fired_time: 9.3287744522, propagate_forward_time: 527.4644165039, propagate_backward_time: 829.8583374023, weight_update_time: 1.2756118774, other_time: 12.4986572266
epoch time: 108.8415069580s, input_fired_time: 1.2295787334, output_fired_time: 0.0000000000, propagate_forward_time: 105.4527282715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1592025757
validation[          , genome  5808] predictions:    5667/  10000 (56.67%), best:    5747/10000 (57.47%), error:     13423.84570, best error:     12749.00879 on epoch:    24, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1392.6252441406s, input_fired_time: 9.8232555389, output_fired_time: 9.3360500336, propagate_forward_time: 528.9642333984, propagate_backward_time: 832.0022583008, weight_update_time: 1.2797410488, other_time: 12.4994506836
epoch time: 108.9702529907s, input_fired_time: 1.2193648815, output_fired_time: 0.0000000000, propagate_forward_time: 105.5883712769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1625137329
validation[          , genome  5808] predictions:    5761/  10000 (57.61%), best:    5747/10000 (57.47%), error:     12929.12695, best error:     12749.00879 on epoch:    24, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1386.2607421875s, input_fired_time: 9.7562742233, output_fired_time: 9.3062343597, propagate_forward_time: 526.6908569336, propagate_backward_time: 828.0596313477, weight_update_time: 1.2753950357, other_time: 12.4477539063
epoch time: 109.0002746582s, input_fired_time: 1.2376320362, output_fired_time: 0.0000000000, propagate_forward_time: 105.6191329956, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1435089111
validation[          , genome  5808] predictions:    5793/  10000 (57.93%), best:    5747/10000 (57.47%), error:     13096.88281, best error:     12749.00879 on epoch:    24, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1387.1594238281s, input_fired_time: 9.8156948090, output_fired_time: 9.3266115189, propagate_forward_time: 526.8729858398, propagate_backward_time: 828.7035522461, weight_update_time: 1.2805999517, other_time: 12.4405517578
epoch time: 108.7832794189s, input_fired_time: 1.2378108501, output_fired_time: 0.0000000000, propagate_forward_time: 105.3812332153, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1642379761
validation[          , genome  5808] predictions:    5944/  10000 (59.44%), best:    5944/10000 (59.44%), error:     12427.52930, best error:     12427.52930 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1386.4460449219s, input_fired_time: 9.8065156937, output_fired_time: 9.3273391724, propagate_forward_time: 526.3408203125, propagate_backward_time: 828.5101318359, weight_update_time: 1.2730727196, other_time: 12.4611816406
epoch time: 108.5591278076s, input_fired_time: 1.2364169359, output_fired_time: 0.0000000000, propagate_forward_time: 105.1632080078, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1595001221
validation[          , genome  5808] predictions:    5831/  10000 (58.31%), best:    5944/10000 (59.44%), error:     13127.98535, best error:     12427.52930 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1386.6121826172s, input_fired_time: 9.8204526901, output_fired_time: 9.3118762970, propagate_forward_time: 526.5001220703, propagate_backward_time: 828.4974365234, weight_update_time: 1.2754673958, other_time: 12.4822998047
epoch time: 108.4406814575s, input_fired_time: 1.2382583618, output_fired_time: 0.0000000000, propagate_forward_time: 105.0619583130, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1404647827
validation[          , genome  5808] predictions:    5967/  10000 (59.67%), best:    5944/10000 (59.44%), error:     12635.63965, best error:     12427.52930 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1387.2968750000s, input_fired_time: 9.8602199554, output_fired_time: 9.2885055542, propagate_forward_time: 527.0211791992, propagate_backward_time: 828.6491699219, weight_update_time: 1.2728508711, other_time: 12.4778442383
epoch time: 108.7764892578s, input_fired_time: 1.2427659035, output_fired_time: 0.0000000000, propagate_forward_time: 105.3853530884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1483688354
validation[          , genome  5808] predictions:    5778/  10000 (57.78%), best:    5944/10000 (59.44%), error:     13380.42188, best error:     12427.52930 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1386.2869873047s, input_fired_time: 9.8552312851, output_fired_time: 9.3023662567, propagate_forward_time: 526.3498535156, propagate_backward_time: 828.2977294922, weight_update_time: 1.2785365582, other_time: 12.4818115234
epoch time: 108.6789779663s, input_fired_time: 1.2411816120, output_fired_time: 0.0000000000, propagate_forward_time: 105.2901382446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1476593018
validation[          , genome  5808] predictions:    5791/  10000 (57.91%), best:    5944/10000 (59.44%), error:     13112.95703, best error:     12427.52930 on epoch:    28, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1386.9023437500s, input_fired_time: 9.8662128448, output_fired_time: 9.3065233231, propagate_forward_time: 526.2440795898, propagate_backward_time: 829.0164184570, weight_update_time: 1.2734068632, other_time: 12.4691162109
epoch time: 108.6372909546s, input_fired_time: 1.2387098074, output_fired_time: 0.0000000000, propagate_forward_time: 105.2606430054, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1379394531
validation[          , genome  5808] predictions:    5733/  10000 (57.33%), best:    5944/10000 (59.44%), error:     13282.20313, best error:     12427.52930 on epoch:    28, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1386.0400390625s, input_fired_time: 9.8670759201, output_fired_time: 9.3061885834, propagate_forward_time: 526.0806274414, propagate_backward_time: 828.2947998047, weight_update_time: 1.2790124416, other_time: 12.4913940430
epoch time: 108.7476654053s, input_fired_time: 1.2389432192, output_fired_time: 0.0000000000, propagate_forward_time: 105.3596267700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1490936279
validation[          , genome  5808] predictions:    5547/  10000 (55.47%), best:    5944/10000 (59.44%), error:     14047.28223, best error:     12427.52930 on epoch:    28, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1394.2121582031s, input_fired_time: 9.9383983612, output_fired_time: 9.3307466507, propagate_forward_time: 529.4973754883, propagate_backward_time: 832.9060668945, weight_update_time: 1.2783632278, other_time: 12.5396728516
epoch time: 108.8162612915s, input_fired_time: 1.2518224716, output_fired_time: 0.0000000000, propagate_forward_time: 105.4070281982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1574096680
validation[          , genome  5808] predictions:    5965/  10000 (59.65%), best:    5944/10000 (59.44%), error:     12617.97754, best error:     12427.52930 on epoch:    28, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1388.2686767578s, input_fired_time: 9.8861122131, output_fired_time: 9.3325510025, propagate_forward_time: 528.1447143555, propagate_backward_time: 828.4407958984, weight_update_time: 1.2799834013, other_time: 12.4645385742
epoch time: 109.0728912354s, input_fired_time: 1.2414399385, output_fired_time: 0.0000000000, propagate_forward_time: 105.6832199097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1482315063
validation[          , genome  5808] predictions:    5835/  10000 (58.35%), best:    5944/10000 (59.44%), error:     12902.42090, best error:     12427.52930 on epoch:    28, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1388.2792968750s, input_fired_time: 9.9048547745, output_fired_time: 9.3585882187, propagate_forward_time: 528.2059326172, propagate_backward_time: 828.3131713867, weight_update_time: 1.2781475782, other_time: 12.4966430664
epoch time: 109.0546569824s, input_fired_time: 1.2457355261, output_fired_time: 0.0000000000, propagate_forward_time: 105.6677932739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1411285400
validation[          , genome  5808] predictions:    5802/  10000 (58.02%), best:    5944/10000 (59.44%), error:     13492.49805, best error:     12427.52930 on epoch:    28, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1388.4810791016s, input_fired_time: 9.9254093170, output_fired_time: 9.3397092819, propagate_forward_time: 528.3447875977, propagate_backward_time: 828.3972778320, weight_update_time: 1.2824704647, other_time: 12.4738769531
epoch time: 109.1060638428s, input_fired_time: 1.2588846684, output_fired_time: 0.0000000000, propagate_forward_time: 105.6852111816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1619644165
validation[          , genome  5808] predictions:    6108/  10000 (61.08%), best:    6108/10000 (61.08%), error:     12163.29004, best error:     12163.29004 on epoch:    38, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1388.9128417969s, input_fired_time: 9.9242143631, output_fired_time: 9.3362379074, propagate_forward_time: 528.7102661133, propagate_backward_time: 828.4293212891, weight_update_time: 1.2826986313, other_time: 12.5128784180
epoch time: 109.1525344849s, input_fired_time: 1.2537938356, output_fired_time: 0.0000000000, propagate_forward_time: 105.7443695068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1543731689
validation[          , genome  5808] predictions:    6029/  10000 (60.29%), best:    6108/10000 (61.08%), error:     12315.87695, best error:     12163.29004 on epoch:    38, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1389.8559570313s, input_fired_time: 9.9528150558, output_fired_time: 9.3556308746, propagate_forward_time: 529.1263427734, propagate_backward_time: 828.9661254883, weight_update_time: 1.2819615602, other_time: 12.4551391602
epoch time: 109.0660552979s, input_fired_time: 1.2727136612, output_fired_time: 0.0000000000, propagate_forward_time: 105.6475296021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1458129883
validation[          , genome  5808] predictions:    5977/  10000 (59.77%), best:    6108/10000 (61.08%), error:     12794.26563, best error:     12163.29004 on epoch:    38, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1390.2392578125s, input_fired_time: 9.9560852051, output_fired_time: 9.3678236008, propagate_forward_time: 528.9373779297, propagate_backward_time: 829.5074462891, weight_update_time: 1.2804125547, other_time: 12.4705810547
epoch time: 108.9282989502s, input_fired_time: 1.2727535963, output_fired_time: 0.0000000000, propagate_forward_time: 105.5089569092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1465911865
validation[          , genome  5808] predictions:    6053/  10000 (60.53%), best:    6108/10000 (61.08%), error:     12252.49023, best error:     12163.29004 on epoch:    38, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1389.2049560547s, input_fired_time: 9.9725961685, output_fired_time: 9.3539800644, propagate_forward_time: 528.7452392578, propagate_backward_time: 828.6882324219, weight_update_time: 1.2768509388, other_time: 12.4448242188
epoch time: 109.2712554932s, input_fired_time: 1.2530084848, output_fired_time: 0.0000000000, propagate_forward_time: 105.8797836304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1384658813
validation[          , genome  5808] predictions:    6041/  10000 (60.41%), best:    6108/10000 (61.08%), error:     12448.01367, best error:     12163.29004 on epoch:    38, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1390.1247558594s, input_fired_time: 9.9781579971, output_fired_time: 9.3449478149, propagate_forward_time: 529.2503662109, propagate_backward_time: 829.1146240234, weight_update_time: 1.2708953619, other_time: 12.4366455078
epoch time: 109.1698837280s, input_fired_time: 1.2581905127, output_fired_time: 0.0000000000, propagate_forward_time: 105.7558288574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1558609009
validation[          , genome  5808] predictions:    5987/  10000 (59.87%), best:    6108/10000 (61.08%), error:     12757.20996, best error:     12163.29004 on epoch:    38, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1389.8084716797s, input_fired_time: 9.9695920944, output_fired_time: 9.3389902115, propagate_forward_time: 528.7819824219, propagate_backward_time: 829.2417602539, weight_update_time: 1.2784843445, other_time: 12.4761352539
epoch time: 109.3195419312s, input_fired_time: 1.2725180387, output_fired_time: 0.0000000000, propagate_forward_time: 105.9029312134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1440963745
validation[          , genome  5808] predictions:    5936/  10000 (59.36%), best:    6108/10000 (61.08%), error:     12609.44531, best error:     12163.29004 on epoch:    38, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1389.3862304688s, input_fired_time: 9.9834728241, output_fired_time: 9.3309030533, propagate_forward_time: 528.2113037109, propagate_backward_time: 829.3685302734, weight_update_time: 1.2806330919, other_time: 12.4919433594
epoch time: 108.9332580566s, input_fired_time: 1.2759487629, output_fired_time: 0.0000000000, propagate_forward_time: 105.5126647949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1446456909
validation[          , genome  5808] predictions:    6094/  10000 (60.94%), best:    6108/10000 (61.08%), error:     12495.40430, best error:     12163.29004 on epoch:    38, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1389.6278076172s, input_fired_time: 10.0036497116, output_fired_time: 9.3540592194, propagate_forward_time: 528.8067016602, propagate_backward_time: 828.9473876953, weight_update_time: 1.2791152000, other_time: 12.5160522461
epoch time: 109.3047256470s, input_fired_time: 1.2708735466, output_fired_time: 0.0000000000, propagate_forward_time: 105.8790283203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1548233032
validation[          , genome  5808] predictions:    6120/  10000 (61.20%), best:    6120/10000 (61.20%), error:     12114.09766, best error:     12114.09766 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1388.3881835938s, input_fired_time: 10.0133275986, output_fired_time: 9.4181728363, propagate_forward_time: 528.6049194336, propagate_backward_time: 827.8446655273, weight_update_time: 1.2794941664, other_time: 12.5070800781
epoch time: 108.7486190796s, input_fired_time: 1.2759491205, output_fired_time: 0.0000000000, propagate_forward_time: 105.3137054443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1589660645
validation[          , genome  5808] predictions:    6101/  10000 (61.01%), best:    6120/10000 (61.20%), error:     12246.72852, best error:     12114.09766 on epoch:    46, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1446.7065429688s, input_fired_time: 10.3639736176, output_fired_time: 9.8389034271, propagate_forward_time: 552.1236572266, propagate_backward_time: 861.2595825195, weight_update_time: 1.3154817820, other_time: 13.1204223633
epoch time: 110.0343093872s, input_fired_time: 1.2808413506, output_fired_time: 0.0000000000, propagate_forward_time: 106.5796890259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1737823486
validation[          , genome  5808] predictions:    6157/  10000 (61.57%), best:    6157/10000 (61.57%), error:     11986.24023, best error:     11986.24023 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1387.9552001953s, input_fired_time: 10.0751543045, output_fired_time: 9.4203119278, propagate_forward_time: 528.8848266602, propagate_backward_time: 826.8378906250, weight_update_time: 1.2880713940, other_time: 12.7369995117
epoch time: 107.8516387939s, input_fired_time: 1.2583894730, output_fired_time: 0.0000000000, propagate_forward_time: 104.4301223755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1631240845
validation[          , genome  5808] predictions:    6144/  10000 (61.44%), best:    6157/10000 (61.57%), error:     12027.75000, best error:     11986.24023 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1379.5678710938s, input_fired_time: 9.9982481003, output_fired_time: 9.2748813629, propagate_forward_time: 524.0451660156, propagate_backward_time: 823.6912841797, weight_update_time: 1.2803280354, other_time: 12.5582275391
epoch time: 108.2592544556s, input_fired_time: 1.2720506191, output_fired_time: 0.0000000000, propagate_forward_time: 104.8186492920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1685562134
validation[          , genome  5808] predictions:    6185/  10000 (61.85%), best:    6185/10000 (61.85%), error:     11902.81348, best error:     11902.81348 on epoch:    50, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 543.0227661133s, input_fired_time: 6.3595423698, output_fired_time: 0.0000000000, propagate_forward_time: 525.8130493164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.8501586914
best training[          , genome  5808] predictions:   38040/  50000 (76.08%), best:    6185/10000 (61.85%), error:     34498.21484, best error:     11902.81348 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 108.3777542114s, input_fired_time: 1.2670314312, output_fired_time: 0.0000000000, propagate_forward_time: 104.9583282471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1523971558
   testing[          , genome  5808] predictions:    6185/  10000 (61.85%), best:    6185/10000 (61.85%), error:     11902.81348, best error:     11902.81348 on epoch:    50, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
10:23:25 (24500): called boinc_finish(0)

</stderr_txt>
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