Nameexact_genome_1542031203_179_5581_2
Workunit4081224
Created12 Nov 2018, 18:32:00 UTC
Sent12 Nov 2018, 18:40:59 UTC
Report deadline30 Dec 2018, 9:36:52 UTC
Received13 Nov 2018, 22:17:47 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time20 hours 47 min 42 sec
CPU time20 hours 2 min 13 sec
Validate stateValid
Credit11,905.54
Device peak FLOPS4.48 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size548.10 MB
Peak swap size546.46 MB
Peak disk usage13.08 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
: 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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.917446
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 2.7308e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 2.7106e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 42
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 6572
read best_validation_error: 10134
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1493386468'
read generator: 1493386468
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.917446
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 2.7308e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 2.7106e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 42
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 6572
read best_validation_error: 10134
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1493386468'
read generator: 1493386468
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1370.87316894531s, input_fired_time: 23.231725692749, output_fired_time: 8.08395290374756, propagate_forward_time: 515.369506835938, propagate_backward_time: 809.612670898438, weight_update_time: 0.495364457368851, other_time: 14.5753173828125
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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.917446
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 2.7308e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 2.7106e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 42
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 6572
read best_validation_error: 10134
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1493386468'
read generator: 1493386468
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1283.88269042969s, input_fired_time: 21.5790004730225, output_fired_time: 7.54011583328247, propagate_forward_time: 482.036285400391, propagate_backward_time: 759.835266113281, weight_update_time: 0.47825875878334, other_time: 12.8920288085938
epoch time: 156.789398193359s, input_fired_time: 1.48839366436005, output_fired_time: 0, propagate_forward_time: 152.950759887695, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.35025024414063
validation[          , genome  5581] predictions:    6575/  10000 (65.75%), best:    6572/10000 (65.72%), error:     10179.22656, best error:     10134.01270 on epoch:    40, epoch:   42/50, mu: 0.9174461961, learning_rate: 0.0000273080, weight_decay: 0.0000271060

epoch time: 1313.7130126953s, input_fired_time: 22.5281143188, output_fired_time: 7.7903923988, propagate_forward_time: 490.2561340332, propagate_backward_time: 779.8198242188, weight_update_time: 0.4843367040, other_time: 13.3186035156
epoch time: 102.9112091064s, input_fired_time: 1.4403450489, output_fired_time: 0.0000000000, propagate_forward_time: 99.2221374512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2487258911
validation[          , genome  5581] predictions:    6562/  10000 (65.62%), best:    6572/10000 (65.72%), error:     10140.73242, best error:     10134.01270 on epoch:    40, epoch:   43/50, mu: 0.9206699133, learning_rate: 0.0000250376, weight_decay: 0.0000253915

epoch time: 1339.9438476563s, input_fired_time: 22.9337368011, output_fired_time: 7.8487491608, propagate_forward_time: 505.2397766113, propagate_backward_time: 789.8327026367, weight_update_time: 0.5062398911, other_time: 14.0889282227
epoch time: 110.4136810303s, input_fired_time: 1.4573612213, output_fired_time: 0.0000000000, propagate_forward_time: 106.6722640991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2840576172
validation[          , genome  5581] predictions:    6589/  10000 (65.89%), best:    6589/10000 (65.89%), error:     10032.74121, best error:     10032.74121 on epoch:    44, epoch:   44/50, mu: 0.9237504005, learning_rate: 0.0000229559, weight_decay: 0.0000237854

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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.926694
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 2.10473e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 2.22809e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 45
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 44
read number_validation_images: 10000
read best_validation_predictions: 6589
read best_validation_error: 10032.7
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1229371714'
read generator: 1229371714
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1433.60119628906s, input_fired_time: 27.770694732666, output_fired_time: 8.08384704589844, propagate_forward_time: 596.173828125, propagate_backward_time: 786.934753417969, weight_update_time: 0.543306589126587, other_time: 14.6380004882813
epoch time: 104.285247802734s, input_fired_time: 1.44406592845917, output_fired_time: 0, propagate_forward_time: 100.28572845459, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.55545043945313
validation[          , genome  5581] predictions:    6589/  10000 (65.89%), best:    6589/10000 (65.89%), error:     10057.27637, best error:     10032.74121 on epoch:    44, epoch:   45/50, mu: 0.9266940355, learning_rate: 0.0000210473, weight_decay: 0.0000222809

epoch time: 1321.9779052734s, input_fired_time: 22.8663597107, output_fired_time: 7.8968834877, propagate_forward_time: 497.2276000977, propagate_backward_time: 779.6221313477, weight_update_time: 0.4937429428, other_time: 14.3649902344
epoch time: 117.1073913574s, input_fired_time: 1.5653781891, output_fired_time: 0.0000000000, propagate_forward_time: 113.1143417358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4276733398
validation[          , genome  5581] predictions:    6610/  10000 (66.10%), best:    6610/10000 (66.10%), error:      9999.01855, best error:      9999.01855 on epoch:    46, epoch:   46/50, mu: 0.9295068383, learning_rate: 0.0000192974, weight_decay: 0.0000208716

epoch time: 1326.6834716797s, input_fired_time: 22.6548633575, output_fired_time: 7.8724794388, propagate_forward_time: 500.1264343262, propagate_backward_time: 781.6579589844, weight_update_time: 0.4955703020, other_time: 14.3717041016
epoch time: 104.5334930420s, input_fired_time: 1.4419976473, output_fired_time: 0.0000000000, propagate_forward_time: 100.7206268311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3708648682
validation[          , genome  5581] predictions:    6583/  10000 (65.83%), best:    6610/10000 (66.10%), error:     10053.62109, best error:      9999.01855 on epoch:    46, epoch:   47/50, mu: 0.9321947098, learning_rate: 0.0000176930, weight_decay: 0.0000195515

epoch time: 1280.0689697266s, input_fired_time: 21.9612503052, output_fired_time: 7.6679348946, propagate_forward_time: 478.3407592773, propagate_backward_time: 758.3974609375, weight_update_time: 0.4930709302, other_time: 13.7014770508
epoch time: 100.7420883179s, input_fired_time: 1.4250301123, output_fired_time: 0.0000000000, propagate_forward_time: 97.1403884888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1766662598
validation[          , genome  5581] predictions:    6520/  10000 (65.20%), best:    6610/10000 (66.10%), error:     10182.42773, best error:      9999.01855 on epoch:    46, epoch:   48/50, mu: 0.9347631335, learning_rate: 0.0000162220, weight_decay: 0.0000183148

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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.937217
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.48732e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.71564e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 49
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '646856482'
read generator: 646856482
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1295.6845703125s, input_fired_time: 22.2980518341064, output_fired_time: 7.63580894470215, propagate_forward_time: 483.439453125, propagate_backward_time: 767.2109375, weight_update_time: 0.494418948888779, other_time: 15.1002197265625
epoch time: 102.369041442871s, input_fired_time: 1.42780959606171, output_fired_time: 0, propagate_forward_time: 98.6559066772461, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.28532409667969
validation[          , genome  5581] predictions:    6592/  10000 (65.92%), best:    6610/10000 (66.10%), error:     10010.62402, best error:      9999.01855 on epoch:    46, epoch:   49/50, mu: 0.9372174144, learning_rate: 0.0000148732, weight_decay: 0.0000171564

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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.939563
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.36366e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.60712e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 50
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1901110944'
read generator: 1901110944
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1237.86120605469s, input_fired_time: 21.1470737457275, output_fired_time: 7.35739469528198, propagate_forward_time: 463.163391113281, propagate_backward_time: 732.752075195313, weight_update_time: 0.49991649389267, other_time: 13.4412231445313
epoch time: 101.677825927734s, input_fired_time: 1.42058908939362, output_fired_time: 0, propagate_forward_time: 97.9068908691406, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.35034942626953
validation[          , genome  5581] predictions:    6562/  10000 (65.62%), best:    6610/10000 (66.10%), error:     10103.90527, best error:      9999.01855 on epoch:    46, epoch:   50/50, mu: 0.9395626783, learning_rate: 0.0000136366, weight_decay: 0.0000160712

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.941804
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.25029e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.50547e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1001695249'
read generator: 1001695249
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.941804
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.25029e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.50547e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1001695249'
read generator: 1001695249
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.941804
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.25029e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.50547e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1001695249'
read generator: 1001695249
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.941804
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.25029e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.50547e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 51
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '1001695249'
read generator: 1001695249
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1269.22473144531s, input_fired_time: 21.8360443115234, output_fired_time: 7.66139698028564, propagate_forward_time: 480.140838623047, propagate_backward_time: 745.995971679688, weight_update_time: 0.486865311861038, other_time: 13.5904541015625
epoch time: 101.024383544922s, input_fired_time: 1.42117857933044, output_fired_time: 0, propagate_forward_time: 97.3740081787109, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.22919464111328
validation[          , genome  5581] predictions:    6600/  10000 (66.00%), best:    6610/10000 (66.10%), error:     10066.92871, best error:      9999.01855 on epoch:    46, epoch:   51/50, mu: 0.9418036938, learning_rate: 0.0000125029, weight_decay: 0.0000150547

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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_1542031203_179_5581.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_179_5581_2_r1631169224_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: 0.500585
read mu: 0.943945
read mu_delta: 0.955568
read initial_learning_rate: 0.00104616
read learning_rate: 1.14634e-05
read learning_rate_delta: 0.916858
read initial_weight_decay: 0.000421603
read weight_decay: 1.41024e-05
read weight_decay_delta: 0.936748
read batch_size: 102
read epsilon: 1e-07
read alpha: 0.118333
read input_dropout_probability: 0.00131902
read hidden_dropout_probability: 0.091976
read velocity_reset: 1876
read epoch: 52
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 46
read number_validation_images: 10000
read best_validation_predictions: 6610
read best_validation_error: 9999.02
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: 5581
read normal distribution: '0 0.220775038003922 1.38576912879944'
generator_str: '244018465'
read generator: 244018465
read generated_by_map:
1 split_node 1
reading 90 nodes.
reading 440 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: 1265.63781738281s, input_fired_time: 21.9719715118408, output_fired_time: 8.45173358917236, propagate_forward_time: 472.724243164063, propagate_backward_time: 748.882995605469, weight_update_time: 0.488733738660812, other_time: 13.6068725585938
epoch time: 102.540542602539s, input_fired_time: 1.46628522872925, output_fired_time: 0, propagate_forward_time: 98.8705215454102, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.2037353515625
validation[          , genome  5581] predictions:    6576/  10000 (65.76%), best:    6610/10000 (66.10%), error:     10030.90625, best error:      9999.01855 on epoch:    46, epoch:   52/50, mu: 0.9439451694, learning_rate: 0.0000114634, weight_decay: 0.0000141024

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 502.2965698242s, input_fired_time: 7.0377297401, output_fired_time: 0.0000000000, propagate_forward_time: 484.3143310547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.9445190430
best training[          , genome  5581] predictions:   35094/  50000 (70.19%), best:    6610/10000 (66.10%), error:     44559.58984, best error:      9999.01855 on epoch:    46, epoch:   53/50, mu: 0.9459915161, learning_rate: 0.0000105103, weight_decay: 0.0000132104
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 99.7871780396s, input_fired_time: 1.4183106422, output_fired_time: 0.0000000000, propagate_forward_time: 96.2256469727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1432189941
   testing[          , genome  5581] predictions:    6610/  10000 (66.10%), best:    6610/10000 (66.10%), error:      9999.01855, best error:      9999.01855 on epoch:    46, epoch:   53/50, mu: 0.9459915161, learning_rate: 0.0000105103, weight_decay: 0.0000132104
backpropagation finished successfully!
08:07:59 (7152): called boinc_finish(0)

</stderr_txt>
]]>