Nameexact_genome_1542649503_169_6348_0
Workunit4099796
Created20 Nov 2018, 3:44:15 UTC
Sent20 Nov 2018, 4:06:13 UTC
Report deadline17 Dec 2018, 4:12:47 UTC
Received21 Nov 2018, 2:26:38 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID78968
Run time15 hours 48 min 6 sec
CPU time15 hours 41 min 7 sec
Validate stateValid
Credit6,751.14
Device peak FLOPS2.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size528.60 MB
Peak swap size654.98 MB
Peak disk usage12.16 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
nels: 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: 2092.19189453125s, input_fired_time: 16.0473823547363, output_fired_time: 13.3702726364136, propagate_forward_time: 781.676086425781, propagate_backward_time: 1254.36584472656, weight_update_time: 1.98795413970947, other_time: 26.7322998046875
epoch time: 164.117218017578s, input_fired_time: 1.94505059719086, output_fired_time: 0, propagate_forward_time: 157.56201171875, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.61015319824219
validation[          , genome  6348] predictions:    5249/  10000 (52.49%), best:    5473/10000 (54.73%), error:     14789.02539, best error:     13884.98633 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 5473
read best_validation_error: 13885
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '73805416'
read generator: 73805416
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 5473
read best_validation_error: 13885
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '73805416'
read generator: 73805416
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 5473
read best_validation_error: 13885
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '73805416'
read generator: 73805416
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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: 2027.21057128906s, input_fired_time: 15.8423528671265, output_fired_time: 13.2476119995117, propagate_forward_time: 754.683227539063, propagate_backward_time: 1218.34765625, weight_update_time: 1.95361912250519, other_time: 25.0897216796875
epoch time: 148.420455932617s, input_fired_time: 1.8059583902359, output_fired_time: 0, propagate_forward_time: 142.681900024414, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.93260192871094
validation[          , genome  6348] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13404.76270, best error:     13404.76270 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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_1542649503_169_6348.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6348_0_r576631364_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: 0.696619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00748421
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000299368
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: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13404.8
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: 6348
read normal distribution: '0 0.487533658742905 -0.174993142485619'
generator_str: '256796520'
read generator: 256796520
read generated_by_map:
1 split_node 1
reading 104 nodes.
reading 393 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: 1954.06127929688s, input_fired_time: 15.4426546096802, output_fired_time: 12.8277416229248, propagate_forward_time: 720.351623535156, propagate_backward_time: 1180.67614746094, weight_update_time: 1.87466752529144, other_time: 24.7630615234375
epoch time: 157.427932739258s, input_fired_time: 1.90010893344879, output_fired_time: 0, propagate_forward_time: 151.403625488281, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.12419128417969
validation[          , genome  6348] predictions:    5262/  10000 (52.62%), best:    5600/10000 (56.00%), error:     15522.14844, best error:     13404.76270 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2008.3718261719s, input_fired_time: 15.4900741577, output_fired_time: 13.0172119141, propagate_forward_time: 741.0570678711, propagate_backward_time: 1215.5917968750, weight_update_time: 1.8969604969, other_time: 23.2155761719
epoch time: 158.0160827637s, input_fired_time: 1.9371817112, output_fired_time: 0.0000000000, propagate_forward_time: 151.8260803223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2528228760
validation[          , genome  6348] predictions:    5513/  10000 (55.13%), best:    5600/10000 (56.00%), error:     13844.11621, best error:     13404.76270 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2038.6804199219s, input_fired_time: 15.9031705856, output_fired_time: 13.5726394653, propagate_forward_time: 753.5092773438, propagate_backward_time: 1231.4755859375, weight_update_time: 1.9462642670, other_time: 24.2197265625
epoch time: 161.9937591553s, input_fired_time: 1.9303137064, output_fired_time: 0.0000000000, propagate_forward_time: 155.7509460449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3125000000
validation[          , genome  6348] predictions:    5277/  10000 (52.77%), best:    5600/10000 (56.00%), error:     14950.44238, best error:     13404.76270 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1957.9187011719s, input_fired_time: 15.2375726700, output_fired_time: 12.7858991623, propagate_forward_time: 724.3776245117, propagate_backward_time: 1183.2554931641, weight_update_time: 1.8562754393, other_time: 22.2620849609
epoch time: 134.9781188965s, input_fired_time: 1.7217437029, output_fired_time: 0.0000000000, propagate_forward_time: 129.6328582764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6235198975
validation[          , genome  6348] predictions:    5454/  10000 (54.54%), best:    5600/10000 (56.00%), error:     14791.66699, best error:     13404.76270 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1914.8243408203s, input_fired_time: 15.0883741379, output_fired_time: 12.4425954819, propagate_forward_time: 706.7105712891, propagate_backward_time: 1158.4570312500, weight_update_time: 1.8444737196, other_time: 22.1257324219
epoch time: 152.3647003174s, input_fired_time: 1.9163371325, output_fired_time: 0.0000000000, propagate_forward_time: 146.4266967773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0216674805
validation[          , genome  6348] predictions:    5612/  10000 (56.12%), best:    5612/10000 (56.12%), error:     13238.16309, best error:     13238.16309 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1909.5247802734s, input_fired_time: 14.9592428207, output_fired_time: 12.3696708679, propagate_forward_time: 706.1787109375, propagate_backward_time: 1153.6461181641, weight_update_time: 1.8123782873, other_time: 22.3710937500
epoch time: 139.2057647705s, input_fired_time: 1.6943421364, output_fired_time: 0.0000000000, propagate_forward_time: 133.7830047607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7284240723
validation[          , genome  6348] predictions:    5536/  10000 (55.36%), best:    5612/10000 (56.12%), error:     14126.83496, best error:     13238.16309 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1849.3371582031s, input_fired_time: 14.6320858002, output_fired_time: 11.9822406769, propagate_forward_time: 679.8188476563, propagate_backward_time: 1121.3583984375, weight_update_time: 1.7629218102, other_time: 21.5455322266
epoch time: 162.5534362793s, input_fired_time: 1.9118973017, output_fired_time: 0.0000000000, propagate_forward_time: 156.2234954834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4180450439
validation[          , genome  6348] predictions:    5493/  10000 (54.93%), best:    5612/10000 (56.12%), error:     13995.81543, best error:     13238.16309 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1969.9135742188s, input_fired_time: 15.3213539124, output_fired_time: 12.7862625122, propagate_forward_time: 729.1846313477, propagate_backward_time: 1189.9526367188, weight_update_time: 1.8515071869, other_time: 22.6687011719
epoch time: 163.3592834473s, input_fired_time: 1.9323406219, output_fired_time: 0.0000000000, propagate_forward_time: 156.5832214355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8437194824
validation[          , genome  6348] predictions:    5756/  10000 (57.56%), best:    5756/10000 (57.56%), error:     13081.69824, best error:     13081.69824 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1856.9351806641s, input_fired_time: 14.7830677032, output_fired_time: 11.9549646378, propagate_forward_time: 687.1472778320, propagate_backward_time: 1121.6169433594, weight_update_time: 1.7809915543, other_time: 21.4328613281
epoch time: 131.8851928711s, input_fired_time: 1.6711206436, output_fired_time: 0.0000000000, propagate_forward_time: 126.7496643066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4644012451
validation[          , genome  6348] predictions:    5393/  10000 (53.93%), best:    5756/10000 (57.56%), error:     14790.95215, best error:     13081.69824 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1857.4783935547s, input_fired_time: 14.7067146301, output_fired_time: 12.0096607208, propagate_forward_time: 685.5603637695, propagate_backward_time: 1124.0878906250, weight_update_time: 1.7709325552, other_time: 21.1137695313
epoch time: 141.0846099854s, input_fired_time: 1.7469874620, output_fired_time: 0.0000000000, propagate_forward_time: 135.5550079346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7826080322
validation[          , genome  6348] predictions:    5547/  10000 (55.47%), best:    5756/10000 (57.56%), error:     13814.13965, best error:     13081.69824 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1924.7631835938s, input_fired_time: 14.9770421982, output_fired_time: 12.4436588287, propagate_forward_time: 711.9328613281, propagate_backward_time: 1163.2800292969, weight_update_time: 1.8396018744, other_time: 22.1296386719
epoch time: 156.8429107666s, input_fired_time: 1.8649343252, output_fired_time: 0.0000000000, propagate_forward_time: 150.9211883545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0567932129
validation[          , genome  6348] predictions:    5545/  10000 (55.45%), best:    5756/10000 (57.56%), error:     13438.51367, best error:     13081.69824 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2036.8214111328s, input_fired_time: 15.5451726913, output_fired_time: 13.1764097214, propagate_forward_time: 754.2809448242, propagate_backward_time: 1230.7985839844, weight_update_time: 1.9049000740, other_time: 23.0202636719
epoch time: 148.2208557129s, input_fired_time: 1.7628803253, output_fired_time: 0.0000000000, propagate_forward_time: 142.5414276123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9165496826
validation[          , genome  6348] predictions:    5382/  10000 (53.82%), best:    5756/10000 (57.56%), error:     14245.77344, best error:     13081.69824 on epoch:    17, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1890.5571289063s, input_fired_time: 14.8102273941, output_fired_time: 12.1741876602, propagate_forward_time: 698.7194213867, propagate_backward_time: 1143.4012451172, weight_update_time: 1.7906460762, other_time: 21.4520263672
epoch time: 138.8745269775s, input_fired_time: 1.7248431444, output_fired_time: 0.0000000000, propagate_forward_time: 133.5008697510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6488189697
validation[          , genome  6348] predictions:    5743/  10000 (57.43%), best:    5756/10000 (57.56%), error:     13215.99609, best error:     13081.69824 on epoch:    17, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1916.5714111328s, input_fired_time: 14.9830207825, output_fired_time: 12.4328355789, propagate_forward_time: 710.1501464844, propagate_backward_time: 1157.3383789063, weight_update_time: 1.8182961941, other_time: 21.6669921875
epoch time: 145.6885223389s, input_fired_time: 1.8077894449, output_fired_time: 0.0000000000, propagate_forward_time: 140.0458679199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8348693848
validation[          , genome  6348] predictions:    5763/  10000 (57.63%), best:    5763/10000 (57.63%), error:     12839.74902, best error:     12839.74902 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1991.3055419922s, input_fired_time: 15.5360956192, output_fired_time: 13.0741167068, propagate_forward_time: 735.5142822266, propagate_backward_time: 1204.1405029297, weight_update_time: 1.8921194077, other_time: 23.0405273438
epoch time: 139.6392822266s, input_fired_time: 1.7295609713, output_fired_time: 0.0000000000, propagate_forward_time: 134.3033905029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6063232422
validation[          , genome  6348] predictions:    5497/  10000 (54.97%), best:    5763/10000 (57.63%), error:     13731.98047, best error:     12839.74902 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1842.6950683594s, input_fired_time: 14.6890764236, output_fired_time: 12.1609935760, propagate_forward_time: 677.7359619141, propagate_backward_time: 1116.9371337891, weight_update_time: 1.7836043835, other_time: 21.1718750000
epoch time: 145.5825042725s, input_fired_time: 1.8132605553, output_fired_time: 0.0000000000, propagate_forward_time: 140.0362243652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7330169678
validation[          , genome  6348] predictions:    5814/  10000 (58.14%), best:    5814/10000 (58.14%), error:     12765.63770, best error:     12765.63770 on epoch:    25, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 739.5489501953s, input_fired_time: 9.1632862091, output_fired_time: 0.0000000000, propagate_forward_time: 710.6691894531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 19.7164916992
best training[          , genome  6348] predictions:   32969/  50000 (65.94%), best:    5814/10000 (58.14%), error:     49497.48047, best error:     12765.63770 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 156.7749481201s, input_fired_time: 1.9230889082, output_fired_time: 0.0000000000, propagate_forward_time: 150.3753967285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4764556885
   testing[          , genome  6348] predictions:    5814/  10000 (58.14%), best:    5814/10000 (58.14%), error:     12765.63770, best error:     12765.63770 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
18:26:16 (1532): called boinc_finish(0)

</stderr_txt>
]]>