Nameexact_genome_1542649503_172_6365_2
Workunit4099973
Created20 Nov 2018, 5:01:03 UTC
Sent20 Nov 2018, 5:12:45 UTC
Report deadline19 Dec 2018, 14:08:23 UTC
Received21 Nov 2018, 5:50:55 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID78968
Run time16 hours 56 min 59 sec
CPU time16 hours 51 min 9 sec
Validate stateValid
Credit7,342.99
Device peak FLOPS2.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size582.78 MB
Peak swap size602.91 MB
Peak disk usage13.32 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
le with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.525697
read mu: 0.683999
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.000466605
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000112315
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 5
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '89101917'
read generator: 89101917
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.683999
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.000466605
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000112315
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 5
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '89101917'
read generator: 89101917
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.683999
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.000466605
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000112315
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 5
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '89101917'
read generator: 89101917
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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: 2180.251953125s, input_fired_time: 42.8000602722168, output_fired_time: 17.3404655456543, propagate_forward_time: 803.469177246094, propagate_backward_time: 1289.47058105469, weight_update_time: 0.674505054950714, other_time: 27.1715087890625
epoch time: 152.664932250977s, input_fired_time: 2.74143576622009, output_fired_time: 0, propagate_forward_time: 145.932968139648, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.99052429199219
validation[          , genome  6365] predictions:    6149/  10000 (61.49%), best:    6275/10000 (62.75%), error:     11507.94629, best error:     10828.11914 on epoch:     1, epoch:    5/25, mu: 0.6839990616, learning_rate: 0.0004666047, weight_decay: 0.0001123154

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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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_1542649503_172_6365.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6365_2_r211565048_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: 0.525697
read mu: 0.708481
read mu_delta: 0.919993
read initial_learning_rate: 0.000634183
read learning_rate: 0.00043883
read learning_rate_delta: 0.940474
read initial_weight_decay: 0.00015379
read weight_decay: 0.000105473
read weight_decay_delta: 0.93908
read batch_size: 99
read epsilon: 1e-07
read alpha: 0.0999461
read input_dropout_probability: 0.001357
read hidden_dropout_probability: 0.0801315
read velocity_reset: 2130
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10828.1
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: 6365
read normal distribution: '1 0 0'
generator_str: '1922262339'
read generator: 1922262339
read generated_by_map:
1 crossover 1
reading 116 nodes.
reading 462 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: 2103.69750976563s, input_fired_time: 41.306022644043, output_fired_time: 17.1237087249756, propagate_forward_time: 772.28955078125, propagate_backward_time: 1246.43664550781, weight_update_time: 0.63852721452713, other_time: 26.541748046875
epoch time: 164.807434082031s, input_fired_time: 2.94519686698914, output_fired_time: 0, propagate_forward_time: 157.464813232422, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.39743041992188
validation[          , genome  6365] predictions:    6265/  10000 (62.65%), best:    6275/10000 (62.75%), error:     10840.82324, best error:     10828.11914 on epoch:     1, epoch:    6/25, mu: 0.7084814310, learning_rate: 0.0004388297, weight_decay: 0.0001054731

epoch time: 2176.7834472656s, input_fired_time: 42.2503356934, output_fired_time: 17.6795005798, propagate_forward_time: 802.4414062500, propagate_backward_time: 1289.0656738281, weight_update_time: 0.6542500854, other_time: 25.3466796875
epoch time: 170.8306579590s, input_fired_time: 3.0072329044, output_fired_time: 0.0000000000, propagate_forward_time: 163.4517059326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3717193604
validation[          , genome  6365] predictions:    5907/  10000 (59.07%), best:    6275/10000 (62.75%), error:     11858.31738, best error:     10828.11914 on epoch:     1, epoch:    7/25, mu: 0.7310050130, learning_rate: 0.0004127081, weight_decay: 0.0000990476

epoch time: 2213.2395019531s, input_fired_time: 42.8565902710, output_fired_time: 18.2978019714, propagate_forward_time: 816.6423950195, propagate_backward_time: 1309.5476074219, weight_update_time: 0.6827554703, other_time: 25.8950195313
epoch time: 172.1387329102s, input_fired_time: 3.0479354858, output_fired_time: 0.0000000000, propagate_forward_time: 164.4565734863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6342163086
validation[          , genome  6365] predictions:    6265/  10000 (62.65%), best:    6275/10000 (62.75%), error:     10850.03711, best error:     10828.11914 on epoch:     1, epoch:    8/25, mu: 0.7517265081, learning_rate: 0.0003881413, weight_decay: 0.0000930136

epoch time: 2041.4332275391s, input_fired_time: 40.1887969971, output_fired_time: 16.4022083282, propagate_forward_time: 749.1273193359, propagate_backward_time: 1212.0980224609, weight_update_time: 0.6181169152, other_time: 23.6168212891
epoch time: 154.8348388672s, input_fired_time: 2.8221833706, output_fired_time: 0.0000000000, propagate_forward_time: 147.8134155273, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1992340088
validation[          , genome  6365] predictions:    6222/  10000 (62.22%), best:    6275/10000 (62.75%), error:     11101.98340, best error:     10828.11914 on epoch:     1, epoch:    9/25, mu: 0.7707901597, learning_rate: 0.0003650369, weight_decay: 0.0000873472

epoch time: 2099.4401855469s, input_fired_time: 40.7416801453, output_fired_time: 17.0522975922, propagate_forward_time: 771.6278686523, propagate_backward_time: 1245.6964111328, weight_update_time: 0.6463094354, other_time: 24.3218994141
epoch time: 166.3780059814s, input_fired_time: 2.9827170372, output_fired_time: 0.0000000000, propagate_forward_time: 159.0232696533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3720245361
validation[          , genome  6365] predictions:    6241/  10000 (62.41%), best:    6275/10000 (62.75%), error:     10909.37012, best error:     10828.11914 on epoch:     1, epoch:   10/25, mu: 0.7883285880, learning_rate: 0.0003433078, weight_decay: 0.0000820259

epoch time: 1970.1740722656s, input_fired_time: 39.5011672974, output_fired_time: 15.8557338715, propagate_forward_time: 720.4590454102, propagate_backward_time: 1171.2341308594, weight_update_time: 0.6127941012, other_time: 23.1240234375
epoch time: 148.5353088379s, input_fired_time: 2.7418045998, output_fired_time: 0.0000000000, propagate_forward_time: 141.8352508545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9582519531
validation[          , genome  6365] predictions:    6212/  10000 (62.12%), best:    6275/10000 (62.75%), error:     10995.93848, best error:     10828.11914 on epoch:     1, epoch:   11/25, mu: 0.8044638038, learning_rate: 0.0003228722, weight_decay: 0.0000770289

epoch time: 2086.9184570313s, input_fired_time: 40.4508895874, output_fired_time: 16.8752975464, propagate_forward_time: 766.0415649414, propagate_backward_time: 1239.2998046875, weight_update_time: 0.6407002807, other_time: 24.2509765625
epoch time: 163.7236022949s, input_fired_time: 2.9646627903, output_fired_time: 0.0000000000, propagate_forward_time: 156.4425659180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3163757324
validation[          , genome  6365] predictions:    6302/  10000 (63.02%), best:    6302/10000 (63.02%), error:     10779.13281, best error:     10779.13281 on epoch:    12, epoch:   12/25, mu: 0.8193081021, learning_rate: 0.0003036530, weight_decay: 0.0000723362

epoch time: 2139.6965332031s, input_fired_time: 41.1250495911, output_fired_time: 17.1083717346, propagate_forward_time: 789.8199462891, propagate_backward_time: 1265.7838134766, weight_update_time: 0.6442452073, other_time: 25.8593750000
epoch time: 148.4355621338s, input_fired_time: 2.7456080914, output_fired_time: 0.0000000000, propagate_forward_time: 141.7337493896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9562072754
validation[          , genome  6365] predictions:    6441/  10000 (64.41%), best:    6441/10000 (64.41%), error:     10400.97559, best error:     10400.97559 on epoch:    13, epoch:   13/25, mu: 0.8329647183, learning_rate: 0.0002855778, weight_decay: 0.0000679295

epoch time: 1937.2406005859s, input_fired_time: 39.0462989807, output_fired_time: 15.4775152206, propagate_forward_time: 710.8585205078, propagate_backward_time: 1149.5911865234, weight_update_time: 0.5873691440, other_time: 22.2670898438
epoch time: 162.1826019287s, input_fired_time: 2.9358313084, output_fired_time: 0.0000000000, propagate_forward_time: 155.0024871826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2442779541
validation[          , genome  6365] predictions:    6511/  10000 (65.11%), best:    6511/10000 (65.11%), error:     10184.82422, best error:     10184.82422 on epoch:    14, epoch:   14/25, mu: 0.8455287218, learning_rate: 0.0002685786, weight_decay: 0.0000637912

epoch time: 2031.2901611328s, input_fired_time: 40.0458030701, output_fired_time: 16.1865730286, propagate_forward_time: 746.5983886719, propagate_backward_time: 1205.1424560547, weight_update_time: 0.6147865653, other_time: 23.3170166016
epoch time: 161.6658172607s, input_fired_time: 2.9060223103, output_fired_time: 0.0000000000, propagate_forward_time: 154.4792327881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2805633545
validation[          , genome  6365] predictions:    6441/  10000 (64.41%), best:    6511/10000 (65.11%), error:     10482.88184, best error:     10184.82422 on epoch:    14, epoch:   15/25, mu: 0.8570874929, learning_rate: 0.0002525912, weight_decay: 0.0000599050

epoch time: 2198.7890625000s, input_fired_time: 41.4559860229, output_fired_time: 17.7360839844, propagate_forward_time: 815.3606567383, propagate_backward_time: 1299.2506103516, weight_update_time: 0.7272070646, other_time: 24.9857177734
epoch time: 171.3123474121s, input_fired_time: 3.0521237850, output_fired_time: 0.0000000000, propagate_forward_time: 163.9128875732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3473358154
validation[          , genome  6365] predictions:    6414/  10000 (64.14%), best:    6511/10000 (65.11%), error:     10534.94336, best error:     10184.82422 on epoch:    14, epoch:   16/25, mu: 0.8677214980, learning_rate: 0.0002375555, weight_decay: 0.0000562556

epoch time: 2062.9760742188s, input_fired_time: 40.0966300964, output_fired_time: 16.6532001495, propagate_forward_time: 758.5972900391, propagate_backward_time: 1224.0198974609, weight_update_time: 0.6281520128, other_time: 23.6090087891
epoch time: 154.2138519287s, input_fired_time: 2.8107149601, output_fired_time: 0.0000000000, propagate_forward_time: 147.3312683105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0718688965
validation[          , genome  6365] predictions:    6462/  10000 (64.62%), best:    6511/10000 (65.11%), error:     10418.52832, best error:     10184.82422 on epoch:    14, epoch:   17/25, mu: 0.8775047064, learning_rate: 0.0002234149, weight_decay: 0.0000528285

epoch time: 2060.8769531250s, input_fired_time: 40.0285949707, output_fired_time: 16.5771923065, propagate_forward_time: 762.8432617188, propagate_backward_time: 1217.7758789063, weight_update_time: 0.6225635409, other_time: 23.6520996094
epoch time: 159.1007843018s, input_fired_time: 2.8835370541, output_fired_time: 0.0000000000, propagate_forward_time: 152.1798706055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0373840332
validation[          , genome  6365] predictions:    6412/  10000 (64.12%), best:    6511/10000 (65.11%), error:     10389.53027, best error:     10184.82422 on epoch:    14, epoch:   18/25, mu: 0.8865051866, learning_rate: 0.0002101159, weight_decay: 0.0000496101

epoch time: 2131.4694824219s, input_fired_time: 41.4707489014, output_fired_time: 17.4779739380, propagate_forward_time: 785.3344116211, propagate_backward_time: 1262.6619873047, weight_update_time: 0.6495544910, other_time: 24.5242919922
epoch time: 152.8312988281s, input_fired_time: 2.8139202595, output_fired_time: 0.0000000000, propagate_forward_time: 145.9754180908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0419616699
validation[          , genome  6365] predictions:    6312/  10000 (63.12%), best:    6511/10000 (65.11%), error:     10822.33496, best error:     10184.82422 on epoch:    14, epoch:   19/25, mu: 0.8947855234, learning_rate: 0.0001976086, weight_decay: 0.0000465879

epoch time: 1997.3001708984s, input_fired_time: 39.8673477173, output_fired_time: 16.1539478302, propagate_forward_time: 731.3345336914, propagate_backward_time: 1186.8764648438, weight_update_time: 0.6092914343, other_time: 23.0678710938
epoch time: 155.6205749512s, input_fired_time: 2.8228383064, output_fired_time: 0.0000000000, propagate_forward_time: 148.6597900391, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1379394531
validation[          , genome  6365] predictions:    6525/  10000 (65.25%), best:    6525/10000 (65.25%), error:     10126.66016, best error:     10126.66016 on epoch:    20, epoch:   20/25, mu: 0.9024034142, learning_rate: 0.0001858458, weight_decay: 0.0000437497

epoch time: 2216.8454589844s, input_fired_time: 42.6701507568, output_fired_time: 18.0454769135, propagate_forward_time: 815.5311279297, propagate_backward_time: 1315.3585205078, weight_update_time: 0.6517322659, other_time: 25.2402343750
epoch time: 175.6546783447s, input_fired_time: 3.2028341293, output_fired_time: 0.0000000000, propagate_forward_time: 167.9755249023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4763183594
validation[          , genome  6365] predictions:    6536/  10000 (65.36%), best:    6536/10000 (65.36%), error:     10097.43262, best error:     10097.43262 on epoch:    21, epoch:   21/25, mu: 0.9094117880, learning_rate: 0.0001747832, weight_decay: 0.0000410845

epoch time: 2205.2929687500s, input_fired_time: 42.3328666687, output_fired_time: 18.2591533661, propagate_forward_time: 818.1597900391, propagate_backward_time: 1300.7817382813, weight_update_time: 0.6858240962, other_time: 25.7596435547
epoch time: 167.4294891357s, input_fired_time: 3.0897223949, output_fired_time: 0.0000000000, propagate_forward_time: 159.8856964111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4540710449
validation[          , genome  6365] predictions:    6559/  10000 (65.59%), best:    6559/10000 (65.59%), error:     10069.95215, best error:     10069.95215 on epoch:    22, epoch:   22/25, mu: 0.9158594608, learning_rate: 0.0001643791, weight_decay: 0.0000385816

epoch time: 2171.0578613281s, input_fired_time: 41.8437118530, output_fired_time: 17.9735107422, propagate_forward_time: 805.3959350586, propagate_backward_time: 1281.0390625000, weight_update_time: 0.6595619321, other_time: 24.8056640625
epoch time: 180.2050323486s, input_fired_time: 3.1916069984, output_fired_time: 0.0000000000, propagate_forward_time: 172.4600219727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5534057617
validation[          , genome  6365] predictions:    6513/  10000 (65.13%), best:    6559/10000 (65.59%), error:     10144.22852, best error:     10069.95215 on epoch:    22, epoch:   23/25, mu: 0.9217912555, learning_rate: 0.0001545944, weight_decay: 0.0000362312

epoch time: 2222.7480468750s, input_fired_time: 42.8634414673, output_fired_time: 17.7904262543, propagate_forward_time: 823.3751220703, propagate_backward_time: 1313.0683593750, weight_update_time: 0.6755189300, other_time: 25.6505126953
epoch time: 174.0924682617s, input_fired_time: 3.1767587662, output_fired_time: 0.0000000000, propagate_forward_time: 166.3042602539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6114501953
validation[          , genome  6365] predictions:    6553/  10000 (65.53%), best:    6559/10000 (65.59%), error:     10142.87793, best error:     10069.95215 on epoch:    22, epoch:   24/25, mu: 0.9272484779, learning_rate: 0.0001453920, weight_decay: 0.0000340239

epoch time: 2152.9250488281s, input_fired_time: 42.2752647400, output_fired_time: 17.5188102722, propagate_forward_time: 791.3309936523, propagate_backward_time: 1277.1922607422, weight_update_time: 0.6557051539, other_time: 24.6077880859
epoch time: 162.6397399902s, input_fired_time: 2.9589362144, output_fired_time: 0.0000000000, propagate_forward_time: 155.4910125732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1897888184
validation[          , genome  6365] predictions:    6564/  10000 (65.64%), best:    6559/10000 (65.59%), error:     10124.35840, best error:     10069.95215 on epoch:    22, epoch:   25/25, mu: 0.9322690368, learning_rate: 0.0001367374, weight_decay: 0.0000319512

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 793.7167968750s, input_fired_time: 14.7947483063, output_fired_time: 0.0000000000, propagate_forward_time: 758.2605590820, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.6614990234
best training[          , genome  6365] predictions:   36452/  50000 (72.90%), best:    6559/10000 (65.59%), error:     40089.53906, best error:     10069.95215 on epoch:    22, epoch:   26/25, mu: 0.9368879199, learning_rate: 0.0001285981, weight_decay: 0.0000300047
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 162.4206237793s, input_fired_time: 3.0514647961, output_fired_time: 0.0000000000, propagate_forward_time: 154.7078247070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6613311768
   testing[          , genome  6365] predictions:    6559/  10000 (65.59%), best:    6559/10000 (65.59%), error:     10069.95215, best error:     10069.95215 on epoch:    22, epoch:   26/25, mu: 0.9368879199, learning_rate: 0.0001285981, weight_decay: 0.0000300047
backpropagation finished successfully!
21:50:32 (10112): called boinc_finish(0)

</stderr_txt>
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