Nameexact_genome_1542605141_176_6289_0
Workunit4098279
Created19 Nov 2018, 5:59:16 UTC
Sent19 Nov 2018, 6:09:28 UTC
Report deadline9 Jan 2019, 9:34:20 UTC
Received21 Nov 2018, 1:54:07 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID78968
Run time1 days 6 hours 37 min 32 sec
CPU time1 days 6 hours 13 min 21 sec
Validate stateValid
Credit12,785.57
Device peak FLOPS2.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size526.95 MB
Peak swap size546.87 MB
Peak disk usage11.65 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
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: 1975.93981933594s, input_fired_time: 15.5273685455322, output_fired_time: 12.5273284912109, propagate_forward_time: 725.711486816406, propagate_backward_time: 1197.22534179688, weight_update_time: 1.8788583278656, other_time: 24.9482421875
epoch time: 155.920211791992s, input_fired_time: 1.95918655395508, output_fired_time: 0, propagate_forward_time: 149.868347167969, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.09268188476563
validation[          , genome  6289] predictions:    5803/  10000 (58.03%), best:    5885/10000 (58.85%), error:     13076.52930, best error:     12440.43945 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.904336
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00218531
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.74123e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 34
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '567645645'
read generator: 567645645
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.904336
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00218531
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.74123e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 34
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '567645645'
read generator: 567645645
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.904336
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00218531
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.74123e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 34
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '567645645'
read generator: 567645645
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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: 1922.55554199219s, input_fired_time: 15.4266309738159, output_fired_time: 12.3319358825684, propagate_forward_time: 717.048828125, propagate_backward_time: 1153.173828125, weight_update_time: 1.8930059671402, other_time: 24.5743408203125
epoch time: 133.757888793945s, input_fired_time: 1.73258209228516, output_fired_time: 0, propagate_forward_time: 128.299789428711, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.72550964355469
validation[          , genome  6289] predictions:    5750/  10000 (57.50%), best:    5885/10000 (58.85%), error:     12956.23535, best error:     12440.43945 on epoch:    31, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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_176_6289.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_176_6289_0_r687028234_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 31
read number_validation_images: 10000
read best_validation_predictions: 5885
read best_validation_error: 12440.4
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: 6289
read normal distribution: '1 0 0'
generator_str: '260320475'
read generator: 260320475
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 403 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: 1824.18615722656s, input_fired_time: 14.6711797714233, output_fired_time: 11.7412939071655, propagate_forward_time: 671.921813964844, propagate_backward_time: 1102.81103515625, weight_update_time: 1.78031194210052, other_time: 23.040771484375
epoch time: 156.52033996582s, input_fired_time: 2.08031821250916, output_fired_time: 0, propagate_forward_time: 149.996780395508, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.4432373046875
validation[          , genome  6289] predictions:    5913/  10000 (59.13%), best:    5913/10000 (59.13%), error:     12218.18848, best error:     12218.18848 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1885.3397216797s, input_fired_time: 14.9578685760, output_fired_time: 12.0585727692, propagate_forward_time: 696.6449584961, propagate_backward_time: 1139.8840332031, weight_update_time: 1.8158645630, other_time: 21.7941894531
epoch time: 146.0181121826s, input_fired_time: 1.8685635328, output_fired_time: 0.0000000000, propagate_forward_time: 140.2355499268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9140014648
validation[          , genome  6289] predictions:    5827/  10000 (58.27%), best:    5913/10000 (59.13%), error:     12832.46875, best error:     12218.18848 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1937.0617675781s, input_fired_time: 15.4332685471, output_fired_time: 12.6855134964, propagate_forward_time: 718.5892944336, propagate_backward_time: 1166.9645996094, weight_update_time: 1.8893597126, other_time: 23.3891601563
epoch time: 142.1817169189s, input_fired_time: 1.8862797022, output_fired_time: 0.0000000000, propagate_forward_time: 136.1204681396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1749725342
validation[          , genome  6289] predictions:    5779/  10000 (57.79%), best:    5913/10000 (59.13%), error:     12618.16309, best error:     12218.18848 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1898.2685546875s, input_fired_time: 15.0327787399, output_fired_time: 12.0948190689, propagate_forward_time: 707.3853149414, propagate_backward_time: 1141.3941650391, weight_update_time: 1.8292753696, other_time: 22.3614501953
epoch time: 125.5458145142s, input_fired_time: 1.6334643364, output_fired_time: 0.0000000000, propagate_forward_time: 120.4421463013, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4702072144
validation[          , genome  6289] predictions:    5843/  10000 (58.43%), best:    5913/10000 (59.13%), error:     12468.90332, best error:     12218.18848 on epoch:    35, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1767.6624755859s, input_fired_time: 14.3231134415, output_fired_time: 11.2231979370, propagate_forward_time: 648.8204956055, propagate_backward_time: 1072.3220214844, weight_update_time: 1.7571946383, other_time: 20.9736328125
epoch time: 149.2832183838s, input_fired_time: 1.8965327740, output_fired_time: 0.0000000000, propagate_forward_time: 143.1679840088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2187042236
validation[          , genome  6289] predictions:    5927/  10000 (59.27%), best:    5913/10000 (59.13%), error:     12547.95898, best error:     12218.18848 on epoch:    35, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1833.3287353516s, input_fired_time: 14.6235141754, output_fired_time: 11.7646951675, propagate_forward_time: 676.2052612305, propagate_backward_time: 1109.4284667969, weight_update_time: 1.7708214521, other_time: 21.3068847656
epoch time: 126.3351593018s, input_fired_time: 1.6031424999, output_fired_time: 0.0000000000, propagate_forward_time: 121.4123001099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3197174072
validation[          , genome  6289] predictions:    5799/  10000 (57.99%), best:    5913/10000 (59.13%), error:     12807.50000, best error:     12218.18848 on epoch:    35, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1708.7427978516s, input_fired_time: 13.9918336868, output_fired_time: 10.8952283859, propagate_forward_time: 626.7911376953, propagate_backward_time: 1037.0308837891, weight_update_time: 1.7061494589, other_time: 20.0336914063
epoch time: 126.8029403687s, input_fired_time: 1.6555720568, output_fired_time: 0.0000000000, propagate_forward_time: 121.6803207397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4670486450
validation[          , genome  6289] predictions:    5780/  10000 (57.80%), best:    5913/10000 (59.13%), error:     12564.40625, best error:     12218.18848 on epoch:    35, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1840.3397216797s, input_fired_time: 14.6914014816, output_fired_time: 11.8302307129, propagate_forward_time: 680.0551757813, propagate_backward_time: 1112.2209472656, weight_update_time: 1.7985234261, other_time: 21.5419921875
epoch time: 144.7610168457s, input_fired_time: 1.8487806320, output_fired_time: 0.0000000000, propagate_forward_time: 138.8604888916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0517425537
validation[          , genome  6289] predictions:    5857/  10000 (58.57%), best:    5913/10000 (59.13%), error:     12541.21191, best error:     12218.18848 on epoch:    35, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1887.5920410156s, input_fired_time: 14.8877372742, output_fired_time: 11.9940414429, propagate_forward_time: 697.6024780273, propagate_backward_time: 1141.3953857422, weight_update_time: 1.8208482265, other_time: 21.7125244141
epoch time: 128.4969940186s, input_fired_time: 1.6911531687, output_fired_time: 0.0000000000, propagate_forward_time: 123.4699935913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3358459473
validation[          , genome  6289] predictions:    5996/  10000 (59.96%), best:    5913/10000 (59.13%), error:     12444.37402, best error:     12218.18848 on epoch:    35, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1661.1213378906s, input_fired_time: 13.6569213867, output_fired_time: 10.5549554825, propagate_forward_time: 605.8206787109, propagate_backward_time: 1011.6091308594, weight_update_time: 1.6641429663, other_time: 19.4796142578
epoch time: 138.5782318115s, input_fired_time: 1.7656835318, output_fired_time: 0.0000000000, propagate_forward_time: 133.1887054443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6238403320
validation[          , genome  6289] predictions:    5847/  10000 (58.47%), best:    5913/10000 (59.13%), error:     12675.02344, best error:     12218.18848 on epoch:    35, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1755.8695068359s, input_fired_time: 14.2604904175, output_fired_time: 11.2698345184, propagate_forward_time: 647.1248779297, propagate_backward_time: 1062.7929687500, weight_update_time: 1.7192670107, other_time: 20.4213867188
epoch time: 135.2509155273s, input_fired_time: 1.7419202328, output_fired_time: 0.0000000000, propagate_forward_time: 129.8946380615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6143646240
validation[          , genome  6289] predictions:    5860/  10000 (58.60%), best:    5913/10000 (59.13%), error:     12677.48633, best error:     12218.18848 on epoch:    35, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1869.1945800781s, input_fired_time: 14.8898496628, output_fired_time: 11.8393411636, propagate_forward_time: 693.7868041992, propagate_backward_time: 1127.2308349609, weight_update_time: 1.7903500795, other_time: 21.4476318359
epoch time: 146.3691253662s, input_fired_time: 1.8785237074, output_fired_time: 0.0000000000, propagate_forward_time: 140.6308135986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8597869873
validation[          , genome  6289] predictions:    5927/  10000 (59.27%), best:    5913/10000 (59.13%), error:     12534.72070, best error:     12218.18848 on epoch:    35, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1902.6247558594s, input_fired_time: 14.9963121414, output_fired_time: 12.1664934158, propagate_forward_time: 706.5184326172, propagate_backward_time: 1146.9570312500, weight_update_time: 1.8178293705, other_time: 21.9864501953
epoch time: 136.5713348389s, input_fired_time: 1.7460156679, output_fired_time: 0.0000000000, propagate_forward_time: 131.3005218506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5247955322
validation[          , genome  6289] predictions:    6010/  10000 (60.10%), best:    5913/10000 (59.13%), error:     12260.85254, best error:     12218.18848 on epoch:    35, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1771.6398925781s, input_fired_time: 14.3305444717, output_fired_time: 11.3743181229, propagate_forward_time: 652.4406127930, propagate_backward_time: 1073.1732177734, weight_update_time: 1.7304524183, other_time: 20.3211669922
epoch time: 134.3118591309s, input_fired_time: 1.7366108894, output_fired_time: 0.0000000000, propagate_forward_time: 129.0512237549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5240173340
validation[          , genome  6289] predictions:    5945/  10000 (59.45%), best:    5913/10000 (59.13%), error:     12501.89453, best error:     12218.18848 on epoch:    35, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1824.9545898438s, input_fired_time: 14.5532541275, output_fired_time: 11.5333728790, propagate_forward_time: 671.8999633789, propagate_backward_time: 1106.1612548828, weight_update_time: 1.7258921862, other_time: 20.8067626953
epoch time: 144.7602386475s, input_fired_time: 1.8575303555, output_fired_time: 0.0000000000, propagate_forward_time: 139.1036529541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7990570068
validation[          , genome  6289] predictions:    6007/  10000 (60.07%), best:    6007/10000 (60.07%), error:     12044.65723, best error:     12044.65723 on epoch:    49, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1860.1879882813s, input_fired_time: 15.0497817993, output_fired_time: 12.0183219910, propagate_forward_time: 686.5769653320, propagate_backward_time: 1124.9212646484, weight_update_time: 1.8186386824, other_time: 21.6217041016
epoch time: 139.0784759521s, input_fired_time: 1.8475289345, output_fired_time: 0.0000000000, propagate_forward_time: 133.4612121582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7697296143
validation[          , genome  6289] predictions:    5963/  10000 (59.63%), best:    6007/10000 (60.07%), error:     12408.20703, best error:     12044.65723 on epoch:    49, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 661.8180541992s, input_fired_time: 8.7779779434, output_fired_time: 0.0000000000, propagate_forward_time: 634.7295532227, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.3105468750
best training[          , genome  6289] predictions:   36068/  50000 (72.14%), best:    6007/10000 (60.07%), error:     39690.50781, best error:     12044.65723 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 129.4043579102s, input_fired_time: 1.7073453665, output_fired_time: 0.0000000000, propagate_forward_time: 124.0318908691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6651229858
   testing[          , genome  6289] predictions:    6007/  10000 (60.07%), best:    6007/10000 (60.07%), error:     12044.65723, best error:     12044.65723 on epoch:    49, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
17:53:44 (8988): called boinc_finish(0)

</stderr_txt>
]]>