Nameexact_genome_1542277804_179_5966_2
Workunit4090441
Created20 Jan 2019, 18:54:03 UTC
Sent20 Jan 2019, 18:54:07 UTC
Report deadline27 Mar 2019, 23:58:58 UTC
Received2 Feb 2019, 20:08:18 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID92908
Run time19 hours 19 min 2 sec
CPU time18 hours 34 min 13 sec
Validate stateValid
Credit16,552.93
Device peak FLOPS3.91 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size568.73 MB
Peak swap size566.29 MB
Peak disk usage16.75 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
./../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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.
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 1000arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 1000arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 2939.41723632813s, input_fired_time: 54.8610801696777, output_fired_time: 14.8188304901123, propagate_forward_time: 1107.99011230469, propagate_backward_time: 1726.8408203125, weight_update_time: 0.441483676433563, other_time: 34.9063720703125
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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.
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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.
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 3xarguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 32arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 1000arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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.
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 1000arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_179_5966_2_r910895636_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: 0.511884
read mu: 0.933716
read mu_delta: 0.9555
read initial_learning_rate: 0.000587637
read learning_rate: 8.64778e-06
read learning_rate_delta: 0.914149
read initial_weight_decay: 0.00045852
read weight_decay: 2.10184e-05
read weight_decay_delta: 0.936517
read batch_size: 105
read epsilon: 1e-07
read alpha: 0.109247
read input_dropout_probability: 0.00128562
read hidden_dropout_probability: 0.0974779
read velocity_reset: 1742
read epoch: 47
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 6681
read best_validation_error: 9798.55
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: 5966
read normal distribution: '1 0 0'
generator_str: '1212997369'
read generator: 1212997369
read generated_by_map:
1 disable_edge 1
reading 112 nodes.
reading 578 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: 2944.21044921875s, input_fired_time: 53.4073905944824, output_fired_time: 23.9034042358398, propagate_forward_time: 1100.78796386719, propagate_backward_time: 1727.66625976563, weight_update_time: 0.436375558376312, other_time: 38.4454345703125
epoch time: 229.527801513672s, input_fired_time: 2.76090979576111, output_fired_time: 0, propagate_forward_time: 223.10009765625, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.66679382324219
validation[          , genome  5966] predictions:    6620/  10000 (66.20%), best:    6681/10000 (66.81%), error:      9905.62012, best error:      9798.54883 on epoch:    39, epoch:   47/50, mu: 0.9337158799, learning_rate: 0.0000086478, weight_decay: 0.0000210184

epoch time: 2936.5202636719s, input_fired_time: 40.8338127136, output_fired_time: 22.3369121552, propagate_forward_time: 1110.8559570313, propagate_backward_time: 1736.1851806641, weight_update_time: 0.4342532754, other_time: 26.3084716797
epoch time: 232.3900604248s, input_fired_time: 2.7334961891, output_fired_time: 0.0000000000, propagate_forward_time: 223.0102844238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6462860107
validation[          , genome  5966] predictions:    6692/  10000 (66.92%), best:    6692/10000 (66.92%), error:      9666.37988, best error:      9666.37988 on epoch:    48, epoch:   48/50, mu: 0.9362204671, learning_rate: 0.0000079054, weight_decay: 0.0000196841

epoch time: 2953.4340820313s, input_fired_time: 46.0458831787, output_fired_time: 16.4290199280, propagate_forward_time: 1112.0627441406, propagate_backward_time: 1746.2941894531, weight_update_time: 0.4485076368, other_time: 32.6022949219
epoch time: 232.5550231934s, input_fired_time: 1.2484385967, output_fired_time: 0.0000000000, propagate_forward_time: 215.5719146729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.7346649170
validation[          , genome  5966] predictions:    6693/  10000 (66.93%), best:    6692/10000 (66.92%), error:      9715.59473, best error:      9666.37988 on epoch:    48, epoch:   49/50, mu: 0.9386136532, learning_rate: 0.0000072267, weight_decay: 0.0000184345

epoch time: 4370.8627929688s, input_fired_time: 54.7881851196, output_fired_time: 19.7173271179, propagate_forward_time: 1272.9946289063, propagate_backward_time: 2894.5712890625, weight_update_time: 0.4474261701, other_time: 128.7915039063
epoch time: 232.5560760498s, input_fired_time: 4.2651205063, output_fired_time: 0.0000000000, propagate_forward_time: 221.8188934326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.4720611572
validation[          , genome  5966] predictions:    6658/  10000 (66.58%), best:    6692/10000 (66.92%), error:      9774.34570, best error:      9666.37988 on epoch:    48, epoch:   50/50, mu: 0.9409003258, learning_rate: 0.0000066063, weight_decay: 0.0000172642

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1162.7104492188s, input_fired_time: 18.2302131653, output_fired_time: 0.0000000000, propagate_forward_time: 1110.7363281250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 33.7438964844
best training[          , genome  5966] predictions:   35506/  50000 (71.01%), best:    6692/10000 (66.92%), error:     43769.08984, best error:      9666.37988 on epoch:    48, epoch:   51/50, mu: 0.9430852532, learning_rate: 0.0000060391, weight_decay: 0.0000161682
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 232.0822448730s, input_fired_time: 2.7555131912, output_fired_time: 0.0000000000, propagate_forward_time: 216.1359710693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.1907653809
   testing[          , genome  5966] predictions:    6692/  10000 (66.92%), best:    6692/10000 (66.92%), error:      9666.37988, best error:      9666.37988 on epoch:    48, epoch:   51/50, mu: 0.9430852532, learning_rate: 0.0000060391, weight_decay: 0.0000161682
backpropagation finished successfully!
22:05:57 (9732): called boinc_finish(0)

</stderr_txt>
]]>