Nameexact_genome_1542605141_188_6303_0
Workunit4098596
Created19 Nov 2018, 7:28:12 UTC
Sent19 Nov 2018, 7:40:17 UTC
Report deadline19 Feb 2019, 10:41:34 UTC
Received21 Nov 2018, 10:26:33 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time1 days 15 hours 9 min 53 sec
CPU time1 days 14 hours 54 min 13 sec
Validate stateValid
Credit23,031.47
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size541.74 MB
Peak swap size540.01 MB
Peak disk usage11.75 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
   class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984444
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.50169e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.99773e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '50267592'
read generator: 50267592
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984444
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.50169e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.99773e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '50267592'
read generator: 50267592
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984444
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.50169e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.99773e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '50267592'
read generator: 50267592
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984444
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.50169e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.99773e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 75
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '50267592'
read generator: 50267592
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 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: 1374.90832519531s, input_fired_time: 17.5095958709717, output_fired_time: 8.70133113861084, propagate_forward_time: 519.524841308594, propagate_backward_time: 816.598693847656, weight_update_time: 0.737284004688263, other_time: 12.5738525390625
epoch time: 115.969421386719s, input_fired_time: 1.3926705121994, output_fired_time: 0, propagate_forward_time: 112.496765136719, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.07998657226563
validation[          , genome  6303] predictions:    6518/  10000 (65.18%), best:    6546/10000 (65.46%), error:     10104.83496, best error:     10088.49512 on epoch:    74, epoch:   75/100, mu: 0.9844439626, learning_rate: 0.0000250169, weight_decay: 0.0000079977

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984763
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.34252e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.56662e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '476454679'
read generator: 476454679
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984763
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.34252e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.56662e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '476454679'
read generator: 476454679
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984763
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.34252e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.56662e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '476454679'
read generator: 476454679
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984763
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.34252e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.56662e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '476454679'
read generator: 476454679
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_188_6303_0_r1015353282_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: 0.522079
read mu: 0.984763
read mu_delta: 0.942601
read initial_learning_rate: 0.00346249
read learning_rate: 2.34252e-05
read learning_rate_delta: 0.936378
read initial_weight_decay: 0.000510282
read weight_decay: 7.56662e-06
read weight_decay_delta: 0.946096
read batch_size: 90
read epsilon: 1e-07
read alpha: 0.0653
read input_dropout_probability: 0.0010324
read hidden_dropout_probability: 0.090362
read velocity_reset: 1649
read epoch: 76
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 74
read number_validation_images: 10000
read best_validation_predictions: 6546
read best_validation_error: 10088.5
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: 6303
read normal distribution: '1 0 0'
generator_str: '476454679'
read generator: 476454679
read generated_by_map:
1 enable_edge 1
reading 80 nodes.
reading 344 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: 1311.56713867188s, input_fired_time: 17.2817001342773, output_fired_time: 8.47419261932373, propagate_forward_time: 500.767822265625, propagate_backward_time: 772.760498046875, weight_update_time: 0.718183159828186, other_time: 12.2828369140625
epoch time: 104.146446228027s, input_fired_time: 1.36055135726929, output_fired_time: 0, propagate_forward_time: 100.748794555664, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.03710174560547
validation[          , genome  6303] predictions:    6525/  10000 (65.25%), best:    6546/10000 (65.46%), error:     10119.90430, best error:     10088.49512 on epoch:    74, epoch:   76/100, mu: 0.9847628474, learning_rate: 0.0000234252, weight_decay: 0.0000075666

epoch time: 1310.4750976563s, input_fired_time: 17.2638454437, output_fired_time: 8.4625196457, propagate_forward_time: 500.4078674316, propagate_backward_time: 772.0207519531, weight_update_time: 0.7198031545, other_time: 12.3201904297
epoch time: 104.0880203247s, input_fired_time: 1.3597373962, output_fired_time: 0.0000000000, propagate_forward_time: 100.6846542358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0436325073
validation[          , genome  6303] predictions:    6570/  10000 (65.70%), best:    6570/10000 (65.70%), error:     10057.26172, best error:     10057.26172 on epoch:    77, epoch:   77/100, mu: 0.9850634336, learning_rate: 0.0000219349, weight_decay: 0.0000071588

epoch time: 1309.0179443359s, input_fired_time: 17.2380657196, output_fired_time: 8.4570398331, propagate_forward_time: 499.5413818359, propagate_backward_time: 771.4937133789, weight_update_time: 0.7174553871, other_time: 12.2877807617
epoch time: 103.7923202515s, input_fired_time: 1.3584761620, output_fired_time: 0.0000000000, propagate_forward_time: 100.4009094238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0329360962
validation[          , genome  6303] predictions:    6495/  10000 (64.95%), best:    6570/10000 (65.70%), error:     10119.02637, best error:     10057.26172 on epoch:    77, epoch:   78/100, mu: 0.9853467941, learning_rate: 0.0000205394, weight_decay: 0.0000067729

epoch time: 1306.9608154297s, input_fired_time: 17.2262859344, output_fired_time: 8.4458208084, propagate_forward_time: 498.4192810059, propagate_backward_time: 770.5971069336, weight_update_time: 0.7185609341, other_time: 12.2722778320
epoch time: 103.9758987427s, input_fired_time: 1.3625878096, output_fired_time: 0.0000000000, propagate_forward_time: 100.5806884766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0326232910
validation[          , genome  6303] predictions:    6565/  10000 (65.65%), best:    6565/10000 (65.65%), error:     10055.68652, best error:     10055.68652 on epoch:    79, epoch:   79/100, mu: 0.9856138825, learning_rate: 0.0000192326, weight_decay: 0.0000064078

epoch time: 1307.0281982422s, input_fired_time: 17.2245769501, output_fired_time: 8.4307661057, propagate_forward_time: 498.7500915527, propagate_backward_time: 770.3289184570, weight_update_time: 0.7211695910, other_time: 12.2937622070
epoch time: 103.9068908691s, input_fired_time: 1.3634192944, output_fired_time: 0.0000000000, propagate_forward_time: 100.5002136230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0432586670
validation[          , genome  6303] predictions:    6523/  10000 (65.23%), best:    6565/10000 (65.65%), error:     10088.91797, best error:     10055.68652 on epoch:    79, epoch:   80/100, mu: 0.9858656526, learning_rate: 0.0000180090, weight_decay: 0.0000060624

epoch time: 1307.1875000000s, input_fired_time: 17.2084426880, output_fired_time: 8.3862714767, propagate_forward_time: 497.4166870117, propagate_backward_time: 771.9005737305, weight_update_time: 0.7350687385, other_time: 12.2755126953
epoch time: 103.5945968628s, input_fired_time: 1.3585773706, output_fired_time: 0.0000000000, propagate_forward_time: 100.1930465698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0429763794
validation[          , genome  6303] predictions:    6565/  10000 (65.65%), best:    6565/10000 (65.65%), error:     10034.17578, best error:     10034.17578 on epoch:    81, epoch:   81/100, mu: 0.9861029387, learning_rate: 0.0000168632, weight_decay: 0.0000057356

epoch time: 1305.3292236328s, input_fired_time: 17.2131347656, output_fired_time: 8.3682813644, propagate_forward_time: 496.2049255371, propagate_backward_time: 771.2811279297, weight_update_time: 0.7145041227, other_time: 12.2617187500
epoch time: 103.3356781006s, input_fired_time: 1.3545323610, output_fired_time: 0.0000000000, propagate_forward_time: 99.9321746826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0489730835
validation[          , genome  6303] predictions:    6542/  10000 (65.42%), best:    6565/10000 (65.65%), error:     10082.18555, best error:     10034.17578 on epoch:    81, epoch:   82/100, mu: 0.9863266349, learning_rate: 0.0000157904, weight_decay: 0.0000054264

epoch time: 1306.2229003906s, input_fired_time: 17.2066764832, output_fired_time: 8.3932666779, propagate_forward_time: 496.2266540527, propagate_backward_time: 772.1096801758, weight_update_time: 0.7118703723, other_time: 12.2865600586
epoch time: 103.3128280640s, input_fired_time: 1.3626319170, output_fired_time: 0.0000000000, propagate_forward_time: 99.9209442139, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0292510986
validation[          , genome  6303] predictions:    6576/  10000 (65.76%), best:    6565/10000 (65.65%), error:     10038.35840, best error:     10034.17578 on epoch:    81, epoch:   83/100, mu: 0.9865374565, learning_rate: 0.0000147857, weight_decay: 0.0000051339

epoch time: 1295.6085205078s, input_fired_time: 17.1561489105, output_fired_time: 8.3121299744, propagate_forward_time: 491.4762878418, propagate_backward_time: 766.3115234375, weight_update_time: 0.7167194486, other_time: 12.3524169922
epoch time: 101.7839355469s, input_fired_time: 1.3434182405, output_fired_time: 0.0000000000, propagate_forward_time: 98.3573913574, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0831222534
validation[          , genome  6303] predictions:    6599/  10000 (65.99%), best:    6565/10000 (65.65%), error:     10036.01660, best error:     10034.17578 on epoch:    81, epoch:   84/100, mu: 0.9867361784, learning_rate: 0.0000138450, weight_decay: 0.0000048572

epoch time: 1278.6430664063s, input_fired_time: 17.1043357849, output_fired_time: 8.3144750595, propagate_forward_time: 485.2961120605, propagate_backward_time: 755.4710083008, weight_update_time: 0.7094047070, other_time: 12.4570922852
epoch time: 100.7684326172s, input_fired_time: 1.3422061205, output_fired_time: 0.0000000000, propagate_forward_time: 97.3513183594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0749053955
validation[          , genome  6303] predictions:    6606/  10000 (66.06%), best:    6606/10000 (66.06%), error:     10011.68457, best error:     10011.68457 on epoch:    85, epoch:   85/100, mu: 0.9869235158, learning_rate: 0.0000129642, weight_decay: 0.0000045954

epoch time: 1274.8342285156s, input_fired_time: 17.0938129425, output_fired_time: 8.2574815750, propagate_forward_time: 484.4359436035, propagate_backward_time: 752.5662841797, weight_update_time: 0.7095787525, other_time: 12.4807128906
epoch time: 101.0390548706s, input_fired_time: 1.3431727886, output_fired_time: 0.0000000000, propagate_forward_time: 97.6254653931, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0704193115
validation[          , genome  6303] predictions:    6536/  10000 (65.36%), best:    6606/10000 (66.06%), error:     10040.68066, best error:     10011.68457 on epoch:    85, epoch:   86/100, mu: 0.9871001244, learning_rate: 0.0000121394, weight_decay: 0.0000043477

epoch time: 1287.6777343750s, input_fired_time: 17.2063694000, output_fired_time: 8.3453512192, propagate_forward_time: 489.0144042969, propagate_backward_time: 760.6616821289, weight_update_time: 0.7152640820, other_time: 12.4498901367
epoch time: 101.4070739746s, input_fired_time: 1.3429549932, output_fired_time: 0.0000000000, propagate_forward_time: 97.9972686768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0668487549
validation[          , genome  6303] predictions:    6573/  10000 (65.73%), best:    6573/10000 (65.73%), error:      9991.19336, best error:      9991.19336 on epoch:    87, epoch:   87/100, mu: 0.9872666001, learning_rate: 0.0000113671, weight_decay: 0.0000041133

epoch time: 1285.6694335938s, input_fired_time: 17.1783447266, output_fired_time: 8.3163537979, propagate_forward_time: 488.6642761230, propagate_backward_time: 759.1497802734, weight_update_time: 0.7176460028, other_time: 12.3605957031
epoch time: 101.6477355957s, input_fired_time: 1.3521114588, output_fired_time: 0.0000000000, propagate_forward_time: 98.2447891235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0508346558
validation[          , genome  6303] predictions:    6550/  10000 (65.50%), best:    6573/10000 (65.73%), error:     10031.42090, best error:      9991.19336 on epoch:    87, epoch:   88/100, mu: 0.9874234796, learning_rate: 0.0000106439, weight_decay: 0.0000038916

epoch time: 1289.3129882813s, input_fired_time: 17.1697120667, output_fired_time: 8.3144893646, propagate_forward_time: 489.9366455078, propagate_backward_time: 761.5726928711, weight_update_time: 0.7149356604, other_time: 12.3195190430
epoch time: 101.9218902588s, input_fired_time: 1.3655706644, output_fired_time: 0.0000000000, propagate_forward_time: 98.5105133057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0458068848
validation[          , genome  6303] predictions:    6561/  10000 (65.61%), best:    6573/10000 (65.73%), error:     10009.73535, best error:      9991.19336 on epoch:    87, epoch:   89/100, mu: 0.9875713587, learning_rate: 0.0000099667, weight_decay: 0.0000036818

epoch time: 1287.9918212891s, input_fired_time: 17.1683731079, output_fired_time: 8.3261375427, propagate_forward_time: 489.3750000000, propagate_backward_time: 760.7999877930, weight_update_time: 0.7156742215, other_time: 12.3223266602
epoch time: 101.9072341919s, input_fired_time: 1.3535408974, output_fired_time: 0.0000000000, propagate_forward_time: 98.5184249878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0352706909
validation[          , genome  6303] predictions:    6590/  10000 (65.90%), best:    6573/10000 (65.73%), error:      9996.40723, best error:      9991.19336 on epoch:    87, epoch:   90/100, mu: 0.9877107739, learning_rate: 0.0000093326, weight_decay: 0.0000034834

epoch time: 1287.0548095703s, input_fired_time: 17.1777324677, output_fired_time: 8.3140249252, propagate_forward_time: 489.3114624023, propagate_backward_time: 759.9157714844, weight_update_time: 0.7176885605, other_time: 12.3358764648
epoch time: 101.7695236206s, input_fired_time: 1.3517661095, output_fired_time: 0.0000000000, propagate_forward_time: 98.3689346313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0488204956
validation[          , genome  6303] predictions:    6569/  10000 (65.69%), best:    6573/10000 (65.73%), error:     10021.60742, best error:      9991.19336 on epoch:    87, epoch:   91/100, mu: 0.9878422022, learning_rate: 0.0000087388, weight_decay: 0.0000032956

epoch time: 1283.2044677734s, input_fired_time: 17.1736717224, output_fired_time: 8.3351554871, propagate_forward_time: 487.5805969238, propagate_backward_time: 757.6171875000, weight_update_time: 0.7161337137, other_time: 12.4978027344
epoch time: 100.8878021240s, input_fired_time: 1.3431087732, output_fired_time: 0.0000000000, propagate_forward_time: 97.4656219482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0790710449
validation[          , genome  6303] predictions:    6598/  10000 (65.98%), best:    6573/10000 (65.73%), error:     10009.89551, best error:      9991.19336 on epoch:    87, epoch:   92/100, mu: 0.9879660606, learning_rate: 0.0000081828, weight_decay: 0.0000031179

epoch time: 1268.8481445313s, input_fired_time: 17.1403446198, output_fired_time: 8.3099565506, propagate_forward_time: 482.4218444824, propagate_backward_time: 748.5066528320, weight_update_time: 0.7146963477, other_time: 12.4692993164
epoch time: 100.8640136719s, input_fired_time: 1.3399128914, output_fired_time: 0.0000000000, propagate_forward_time: 97.4611587524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0629425049
validation[          , genome  6303] predictions:    6559/  10000 (65.59%), best:    6573/10000 (65.73%), error:     10014.17383, best error:      9991.19336 on epoch:    87, epoch:   93/100, mu: 0.9880828261, learning_rate: 0.0000076622, weight_decay: 0.0000029499

epoch time: 1270.2862548828s, input_fired_time: 17.1379051208, output_fired_time: 8.2840747833, propagate_forward_time: 483.4325561523, propagate_backward_time: 748.8529663086, weight_update_time: 0.7157183886, other_time: 12.5787353516
epoch time: 100.9378433228s, input_fired_time: 1.3408200741, output_fired_time: 0.0000000000, propagate_forward_time: 97.5133285522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0836944580
validation[          , genome  6303] predictions:    6574/  10000 (65.74%), best:    6573/10000 (65.73%), error:     10013.80176, best error:      9991.19336 on epoch:    87, epoch:   94/100, mu: 0.9881928563, learning_rate: 0.0000071748, weight_decay: 0.0000027909

epoch time: 1329.4309082031s, input_fired_time: 17.6603145599, output_fired_time: 8.7489080429, propagate_forward_time: 508.0632934570, propagate_backward_time: 781.8346557617, weight_update_time: 0.7433122396, other_time: 13.1237792969
epoch time: 104.9209136963s, input_fired_time: 1.3901780844, output_fired_time: 0.0000000000, propagate_forward_time: 101.2713394165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2593994141
validation[          , genome  6303] predictions:    6589/  10000 (65.89%), best:    6573/10000 (65.73%), error:      9993.04102, best error:      9991.19336 on epoch:    87, epoch:   95/100, mu: 0.9882965684, learning_rate: 0.0000067183, weight_decay: 0.0000026404

epoch time: 1273.8265380859s, input_fired_time: 17.2001876831, output_fired_time: 8.3417272568, propagate_forward_time: 485.4252014160, propagate_backward_time: 750.1683349609, weight_update_time: 0.7292521596, other_time: 12.6911621094
epoch time: 100.7247619629s, input_fired_time: 1.3390520811, output_fired_time: 0.0000000000, propagate_forward_time: 97.3120346069, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0736770630
validation[          , genome  6303] predictions:    6591/  10000 (65.91%), best:    6573/10000 (65.73%), error:      9991.37695, best error:      9991.19336 on epoch:    87, epoch:   96/100, mu: 0.9883943200, learning_rate: 0.0000062909, weight_decay: 0.0000024981

epoch time: 1266.8165283203s, input_fired_time: 17.1338825226, output_fired_time: 8.2896423340, propagate_forward_time: 481.9951477051, propagate_backward_time: 746.9044189453, weight_update_time: 0.7184212804, other_time: 12.4934082031
epoch time: 100.9185180664s, input_fired_time: 1.3425669670, output_fired_time: 0.0000000000, propagate_forward_time: 97.5075225830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0684280396
validation[          , genome  6303] predictions:    6601/  10000 (66.01%), best:    6601/10000 (66.01%), error:      9964.69629, best error:      9964.69629 on epoch:    97, epoch:   97/100, mu: 0.9884864688, learning_rate: 0.0000058906, weight_decay: 0.0000023634

epoch time: 1271.8553466797s, input_fired_time: 17.1320095062, output_fired_time: 8.3014764786, propagate_forward_time: 483.9124755859, propagate_backward_time: 750.1035156250, weight_update_time: 0.7147449851, other_time: 12.4058837891
epoch time: 100.7042236328s, input_fired_time: 1.3414244652, output_fired_time: 0.0000000000, propagate_forward_time: 97.3147354126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0480651855
validation[          , genome  6303] predictions:    6582/  10000 (65.82%), best:    6601/10000 (66.01%), error:      9974.10938, best error:      9964.69629 on epoch:    97, epoch:   98/100, mu: 0.9885733724, learning_rate: 0.0000055158, weight_decay: 0.0000022361

epoch time: 1270.8106689453s, input_fired_time: 17.1377182007, output_fired_time: 8.2897138596, propagate_forward_time: 483.4298706055, propagate_backward_time: 749.5158691406, weight_update_time: 0.7184450626, other_time: 12.4375610352
epoch time: 101.2366561890s, input_fired_time: 1.3501734734, output_fired_time: 0.0000000000, propagate_forward_time: 97.8288497925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0576324463
validation[          , genome  6303] predictions:    6583/  10000 (65.83%), best:    6601/10000 (66.01%), error:      9989.75977, best error:      9964.69629 on epoch:    97, epoch:   99/100, mu: 0.9886552691, learning_rate: 0.0000051649, weight_decay: 0.0000021155

epoch time: 1276.2963867188s, input_fired_time: 17.1396846771, output_fired_time: 8.2904253006, propagate_forward_time: 485.4650573730, propagate_backward_time: 753.0108642578, weight_update_time: 0.7113527656, other_time: 12.3903808594
epoch time: 101.3772201538s, input_fired_time: 1.3528710604, output_fired_time: 0.0000000000, propagate_forward_time: 97.9697799683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0545654297
validation[          , genome  6303] predictions:    6574/  10000 (65.74%), best:    6601/10000 (66.01%), error:      9997.83008, best error:      9964.69629 on epoch:    97, epoch:  100/100, mu: 0.9887324572, learning_rate: 0.0000048363, weight_decay: 0.0000020015

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 503.6894226074s, input_fired_time: 6.7202186584, output_fired_time: 0.0000000000, propagate_forward_time: 486.6961059570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2731018066
best training[          , genome  6303] predictions:   38135/  50000 (76.27%), best:    6601/10000 (66.01%), error:     36605.11719, best error:      9964.69629 on epoch:    97, epoch:  101/100, mu: 0.9888052344, learning_rate: 0.0000045286, weight_decay: 0.0000018936
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 101.5762786865s, input_fired_time: 1.3463706970, output_fired_time: 0.0000000000, propagate_forward_time: 98.1596374512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0702667236
   testing[          , genome  6303] predictions:    6601/  10000 (66.01%), best:    6601/10000 (66.01%), error:      9964.69629, best error:      9964.69629 on epoch:    97, epoch:  101/100, mu: 0.9888052344, learning_rate: 0.0000045286, weight_decay: 0.0000018936
backpropagation finished successfully!
03:25:49 (22104): called boinc_finish(0)

</stderr_txt>
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