Nameexact_genome_1542383404_183_6118_2
Workunit4094150
Created26 Nov 2018, 20:36:11 UTC
Sent26 Nov 2018, 20:36:12 UTC
Report deadline31 Jan 2019, 15:55:09 UTC
Received1 Dec 2018, 13:59:06 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID55643
Run time21 hours 30 min 15 sec
CPU time21 hours 30 min 15 sec
Validate stateValid
Credit16,451.21
Device peak FLOPS3.92 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size520.02 MB
Peak swap size539.62 MB
Peak disk usage9.82 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
    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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.983409
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000168148
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.72593e-06
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: 84
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 81
read number_validation_images: 10000
read best_validation_predictions: 6191
read best_validation_error: 11727.3
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '25794811'
read generator: 25794811
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.983409
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000168148
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.72593e-06
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: 84
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 81
read number_validation_images: 10000
read best_validation_predictions: 6191
read best_validation_error: 11727.3
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '25794811'
read generator: 25794811
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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: 1370.02490234375s, input_fired_time: 14.4135065078735, output_fired_time: 8.75361824035645, propagate_forward_time: 416.696166992188, propagate_backward_time: 916.151062011719, weight_update_time: 2.84533047676086, other_time: 14.0105590820313
epoch time: 88.4245300292969s, input_fired_time: 1.69509446620941, output_fired_time: 0, propagate_forward_time: 85.3773040771484, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.35213470458984
validation[          , genome  6118] predictions:    6102/  10000 (61.02%), best:    6191/10000 (61.91%), error:     11766.70313, best error:     11727.29785 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1364.1066894531s, input_fired_time: 12.2199306488, output_fired_time: 10.7185173035, propagate_forward_time: 411.6382751465, propagate_backward_time: 918.5426025391, weight_update_time: 0.8512877822, other_time: 10.9873046875
epoch time: 89.9970169067s, input_fired_time: 4.7036013603, output_fired_time: 0.0000000000, propagate_forward_time: 78.8967361450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.3966827393
validation[          , genome  6118] predictions:    6148/  10000 (61.48%), best:    6148/10000 (61.48%), error:     11666.86719, best error:     11666.86719 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1396.8520507813s, input_fired_time: 12.2195777893, output_fired_time: 7.7817664146, propagate_forward_time: 439.4248352051, propagate_backward_time: 919.3617553711, weight_update_time: 0.8489454985, other_time: 18.0641479492
epoch time: 87.5896072388s, input_fired_time: 0.6794367433, output_fired_time: 0.0000000000, propagate_forward_time: 85.6159896851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2941818237
validation[          , genome  6118] predictions:    6126/  10000 (61.26%), best:    6148/10000 (61.48%), error:     11908.62500, best error:     11666.86719 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1402.5616455078s, input_fired_time: 14.3147439957, output_fired_time: 7.8819069862, propagate_forward_time: 440.4012451172, propagate_backward_time: 926.9805908203, weight_update_time: 0.8453941941, other_time: 12.9831542969
epoch time: 85.0777740479s, input_fired_time: 1.6704668999, output_fired_time: 0.0000000000, propagate_forward_time: 81.0681076050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3392028809
validation[          , genome  6118] predictions:    6145/  10000 (61.45%), best:    6148/10000 (61.48%), error:     11963.17090, best error:     11666.86719 on epoch:    85, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1375.4356689453s, input_fired_time: 13.2342805862, output_fired_time: 8.7718267441, propagate_forward_time: 427.4797668457, propagate_backward_time: 909.8893432617, weight_update_time: 0.8528032303, other_time: 16.0604858398
epoch time: 88.7829132080s, input_fired_time: 2.6937069893, output_fired_time: 0.0000000000, propagate_forward_time: 83.7274932861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3617095947
validation[          , genome  6118] predictions:    6139/  10000 (61.39%), best:    6148/10000 (61.48%), error:     11748.53125, best error:     11666.86719 on epoch:    85, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1402.6645507813s, input_fired_time: 14.2377853394, output_fired_time: 7.8028359413, propagate_forward_time: 443.3001403809, propagate_backward_time: 923.3197631836, weight_update_time: 1.8508083820, other_time: 14.0039672852
epoch time: 91.8692169189s, input_fired_time: 1.7194839716, output_fired_time: 0.0000000000, propagate_forward_time: 86.7300949097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4196395874
validation[          , genome  6118] predictions:    6153/  10000 (61.53%), best:    6148/10000 (61.48%), error:     11782.95996, best error:     11666.86719 on epoch:    85, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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_1542383404_183_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6118_2_r687100577_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: 0.985155
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000123604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.94418e-06
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: 90
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6148
read best_validation_error: 11666.9
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: 6118
read normal distribution: '1 -0.260197162628174 -0.828377306461334'
generator_str: '6169484'
read generator: 6169484
read generated_by_map:
1 merge_node 1
reading 69 nodes.
reading 277 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: 1396.37475585938s, input_fired_time: 14.1006956100464, output_fired_time: 8.80008316040039, propagate_forward_time: 439.168579101563, propagate_backward_time: 920.401123046875, weight_update_time: 0.841534793376923, other_time: 13.904296875
epoch time: 89.7836456298828s, input_fired_time: 1.68549060821533, output_fired_time: 0, propagate_forward_time: 82.72802734375, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.37012481689453
validation[          , genome  6118] predictions:    6143/  10000 (61.43%), best:    6148/10000 (61.48%), error:     11759.14160, best error:     11666.86719 on epoch:    85, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1411.2664794922s, input_fired_time: 14.0592851639, output_fired_time: 13.6421518326, propagate_forward_time: 438.3808593750, propagate_backward_time: 925.0786743164, weight_update_time: 3.8732781410, other_time: 20.1054077148
epoch time: 86.9503250122s, input_fired_time: 1.6749212742, output_fired_time: 0.0000000000, propagate_forward_time: 80.0469589233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2284469604
validation[          , genome  6118] predictions:    6188/  10000 (61.88%), best:    6148/10000 (61.48%), error:     11850.05762, best error:     11666.86719 on epoch:    85, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1387.2989501953s, input_fired_time: 9.4245090485, output_fired_time: 7.7589120865, propagate_forward_time: 435.9610900879, propagate_backward_time: 912.8573608398, weight_update_time: 1.8578261137, other_time: 21.2970581055
epoch time: 87.9803924561s, input_fired_time: 0.6799225211, output_fired_time: 0.0000000000, propagate_forward_time: 85.9647293091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3357391357
validation[          , genome  6118] predictions:    6084/  10000 (60.84%), best:    6148/10000 (61.48%), error:     11946.38477, best error:     11666.86719 on epoch:    85, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1397.1109619141s, input_fired_time: 12.8566083908, output_fired_time: 10.8341255188, propagate_forward_time: 428.6336059570, propagate_backward_time: 922.7411499023, weight_update_time: 2.8612828255, other_time: 22.0455322266
epoch time: 89.8042449951s, input_fired_time: 1.6947946548, output_fired_time: 0.0000000000, propagate_forward_time: 83.8105316162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2989196777
validation[          , genome  6118] predictions:    6162/  10000 (61.62%), best:    6148/10000 (61.48%), error:     11716.74316, best error:     11666.86719 on epoch:    85, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1375.9390869141s, input_fired_time: 12.2265434265, output_fired_time: 11.7702980042, propagate_forward_time: 432.0986022949, propagate_backward_time: 898.7632446289, weight_update_time: 4.8687262535, other_time: 21.0803833008
epoch time: 88.8345108032s, input_fired_time: 1.7101345062, output_fired_time: 0.0000000000, propagate_forward_time: 83.7479858398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3763885498
validation[          , genome  6118] predictions:    6131/  10000 (61.31%), best:    6148/10000 (61.48%), error:     11823.35254, best error:     11666.86719 on epoch:    85, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1402.4233398438s, input_fired_time: 10.1995363235, output_fired_time: 10.7439594269, propagate_forward_time: 439.7847290039, propagate_backward_time: 926.0280761719, weight_update_time: 0.8481680751, other_time: 15.6669311523
epoch time: 91.7865829468s, input_fired_time: 0.7051251531, output_fired_time: 0.0000000000, propagate_forward_time: 88.6899642944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3914947510
validation[          , genome  6118] predictions:    6092/  10000 (60.92%), best:    6148/10000 (61.48%), error:     11867.44043, best error:     11666.86719 on epoch:    85, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1391.2609863281s, input_fired_time: 19.2325763702, output_fired_time: 8.7452306747, propagate_forward_time: 413.6608886719, propagate_backward_time: 931.7410888672, weight_update_time: 0.8359266520, other_time: 17.8812255859
epoch time: 90.1614608765s, input_fired_time: 1.7038867474, output_fired_time: 0.0000000000, propagate_forward_time: 86.0702590942, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3873138428
validation[          , genome  6118] predictions:    6146/  10000 (61.46%), best:    6148/10000 (61.48%), error:     11789.68945, best error:     11666.86719 on epoch:    85, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1392.9467773438s, input_fired_time: 18.2236137390, output_fired_time: 7.7259130478, propagate_forward_time: 423.5623474121, propagate_backward_time: 924.4729003906, weight_update_time: 1.8544788361, other_time: 18.9619140625
epoch time: 93.4647827148s, input_fired_time: 1.7388641834, output_fired_time: 0.0000000000, propagate_forward_time: 89.2848434448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4410781860
validation[          , genome  6118] predictions:    6184/  10000 (61.84%), best:    6148/10000 (61.48%), error:     11746.33691, best error:     11666.86719 on epoch:    85, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1378.2283935547s, input_fired_time: 9.2154150009, output_fired_time: 7.7428674698, propagate_forward_time: 421.5356140137, propagate_backward_time: 923.8681030273, weight_update_time: 2.7504622936, other_time: 15.8662719727
epoch time: 90.6562576294s, input_fired_time: 1.7124521732, output_fired_time: 0.0000000000, propagate_forward_time: 83.5300979614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4137039185
validation[          , genome  6118] predictions:    6147/  10000 (61.47%), best:    6148/10000 (61.48%), error:     11822.43555, best error:     11666.86719 on epoch:    85, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1400.4608154297s, input_fired_time: 14.2457828522, output_fired_time: 9.8763723373, propagate_forward_time: 431.2164306641, propagate_backward_time: 930.3042602539, weight_update_time: 1.8501254320, other_time: 14.8180541992
epoch time: 90.1549606323s, input_fired_time: 1.7045233250, output_fired_time: 0.0000000000, propagate_forward_time: 86.0631713867, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3872680664
validation[          , genome  6118] predictions:    6145/  10000 (61.45%), best:    6148/10000 (61.48%), error:     11918.78906, best error:     11666.86719 on epoch:    85, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1385.8474121094s, input_fired_time: 10.2085752487, output_fired_time: 6.7629470825, propagate_forward_time: 433.0439147949, propagate_backward_time: 918.7985839844, weight_update_time: 0.8512177467, other_time: 17.0333251953
epoch time: 88.0508270264s, input_fired_time: 1.7104589939, output_fired_time: 0.0000000000, propagate_forward_time: 84.9554519653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3849182129
validation[          , genome  6118] predictions:    6163/  10000 (61.63%), best:    6148/10000 (61.48%), error:     11734.29980, best error:     11666.86719 on epoch:    85, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 456.1679077148s, input_fired_time: 10.3873157501, output_fired_time: 0.0000000000, propagate_forward_time: 433.8144226074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9661560059
best training[          , genome  6118] predictions:   39651/  50000 (79.30%), best:    6148/10000 (61.48%), error:     31339.78320, best error:     11666.86719 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 87.1091842651s, input_fired_time: 0.7190654874, output_fired_time: 0.0000000000, propagate_forward_time: 84.9672851563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4228363037
   testing[          , genome  6118] predictions:    6148/  10000 (61.48%), best:    6148/10000 (61.48%), error:     11666.86719, best error:     11666.86719 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
07:58:42 (4560): called boinc_finish(0)

</stderr_txt>
]]>