Nameexact_genome_1542383404_166_6070_0
Workunit4093169
Created16 Nov 2018, 16:54:21 UTC
Sent16 Nov 2018, 17:20:56 UTC
Report deadline12 Dec 2018, 13:09:18 UTC
Received1 Dec 2018, 12:06:01 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID85280
Run time9 hours 54 min 28 sec
CPU time9 hours 52 min 31 sec
Validate stateValid
Credit6,456.31
Device peak FLOPS4.14 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size529.89 MB
Peak swap size549.56 MB
Peak disk usage11.84 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070_0_r1787781517_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 6070
read normal distribution: '1 0 0'
generator_str: '1191882157'
read generator: 1191882157
read generated_by_map:
1 disable_edge 1
reading 109 nodes.
reading 435 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
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!
generator min: 1, generator max: 2147483646
pre shuffle 1: 235953483
post shuffle 1: 1071671214
epoch time: 3684.8466796875s, input_fired_time: 9.77831077575684, output_fired_time: 9.30553817749023, propagate_forward_time: 1939.34289550781, propagate_backward_time: 1714.14477539063, weight_update_time: 1.31242692470551, other_time: 12.2752685546875
epoch time: 112.672729492188s, input_fired_time: 1.19773781299591, output_fired_time: 0, propagate_forward_time: 109.198020935059, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.27696990966797
validation[          , genome  6070] predictions:    5165/  10000 (51.65%), best:    5165/10000 (51.65%), error:     17867.41406, best error:     17867.41406 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070_0_r1787781517_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: 0.5245
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.011875
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000475
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: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5165
read best_validation_error: 17867.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6070
read normal distribution: '1 0 0'
generator_str: '1651392206'
read generator: 1651392206
read generated_by_map:
1 disable_edge 1
reading 109 nodes.
reading 435 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070_0_r1787781517_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: 0.5245
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.011875
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000475
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: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5165
read best_validation_error: 17867.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6070
read normal distribution: '1 0 0'
generator_str: '1651392206'
read generator: 1651392206
read generated_by_map:
1 disable_edge 1
reading 109 nodes.
reading 435 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070_0_r1787781517_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: 0.5245
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.011875
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000475
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: 1
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5165
read best_validation_error: 17867.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6070
read normal distribution: '1 0 0'
generator_str: '1651392206'
read generator: 1651392206
read generated_by_map:
1 disable_edge 1
reading 109 nodes.
reading 435 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: 1392.88342285156s, input_fired_time: 11.6421432495117, output_fired_time: 10.2002716064453, propagate_forward_time: 551.410522460938, propagate_backward_time: 806.927185058594, weight_update_time: 1.29304134845734, other_time: 12.7033081054688
epoch time: 114.259048461914s, input_fired_time: 1.19955348968506, output_fired_time: 0, propagate_forward_time: 111.059677124023, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.99981689453125
validation[          , genome  6070] predictions:    4810/  10000 (48.10%), best:    4810/10000 (48.10%), error:     17058.56641, best error:     17058.56641 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_166_6070_0_r1787781517_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: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
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: 2
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 4810
read best_validation_error: 17058.6
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: 6070
read normal distribution: '1 0 0'
generator_str: '1645457878'
read generator: 1645457878
read generated_by_map:
1 disable_edge 1
reading 109 nodes.
reading 435 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: 1402.06921386719s, input_fired_time: 10.7120666503906, output_fired_time: 10.3072528839111, propagate_forward_time: 559.887451171875, propagate_backward_time: 809.405395507813, weight_update_time: 1.29437005519867, other_time: 11.757080078125
epoch time: 112.897727966309s, input_fired_time: 1.19122123718262, output_fired_time: 0, propagate_forward_time: 108.624694824219, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.08180999755859
validation[          , genome  6070] predictions:    5224/  10000 (52.24%), best:    5224/10000 (52.24%), error:     16040.69922, best error:     16040.69922 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1390.2406005859s, input_fired_time: 10.6759853363, output_fired_time: 10.2759056091, propagate_forward_time: 544.1487426758, propagate_backward_time: 810.2268676758, weight_update_time: 2.3147740364, other_time: 14.9130859375
epoch time: 113.7198181152s, input_fired_time: 1.1807365417, output_fired_time: 0.0000000000, propagate_forward_time: 109.5145034790, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0245742798
validation[          , genome  6070] predictions:    4994/  10000 (49.94%), best:    5224/10000 (52.24%), error:     16161.84570, best error:     16040.69922 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1405.1347656250s, input_fired_time: 13.6230773926, output_fired_time: 9.3275346756, propagate_forward_time: 554.5176391602, propagate_backward_time: 815.8788452148, weight_update_time: 1.3019576073, other_time: 11.7877197266
epoch time: 112.9144744873s, input_fired_time: 2.1980617046, output_fired_time: 0.0000000000, propagate_forward_time: 108.6612625122, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0551528931
validation[          , genome  6070] predictions:    5293/  10000 (52.93%), best:    5293/10000 (52.93%), error:     14841.41309, best error:     14841.41309 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1378.9552001953s, input_fired_time: 10.5593976974, output_fired_time: 10.0360374451, propagate_forward_time: 551.0830078125, propagate_backward_time: 793.5556030273, weight_update_time: 1.2943404913, other_time: 13.7211303711
epoch time: 113.1449203491s, input_fired_time: 1.1972934008, output_fired_time: 0.0000000000, propagate_forward_time: 109.8886489868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0589752197
validation[          , genome  6070] predictions:    5078/  10000 (50.78%), best:    5293/10000 (52.93%), error:     17035.31836, best error:     14841.41309 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1400.7949218750s, input_fired_time: 9.6434364319, output_fired_time: 10.3203630447, propagate_forward_time: 558.7953491211, propagate_backward_time: 810.2566528320, weight_update_time: 1.3030304909, other_time: 11.7791748047
epoch time: 113.8003997803s, input_fired_time: 1.1896436214, output_fired_time: 0.0000000000, propagate_forward_time: 109.5330886841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0776672363
validation[          , genome  6070] predictions:    5149/  10000 (51.49%), best:    5293/10000 (52.93%), error:     15588.03613, best error:     14841.41309 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1392.2481689453s, input_fired_time: 11.7150192261, output_fired_time: 11.3239860535, propagate_forward_time: 552.1472167969, propagate_backward_time: 803.1575317383, weight_update_time: 1.3154387474, other_time: 13.9044799805
epoch time: 112.6265029907s, input_fired_time: 1.1809426546, output_fired_time: 0.0000000000, propagate_forward_time: 109.4014968872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0440597534
validation[          , genome  6070] predictions:    5235/  10000 (52.35%), best:    5293/10000 (52.93%), error:     14976.89551, best error:     14841.41309 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1399.6678466797s, input_fired_time: 12.7046298981, output_fired_time: 10.1888713837, propagate_forward_time: 559.5236206055, propagate_backward_time: 804.4546508789, weight_update_time: 1.3072202206, other_time: 12.7961425781
epoch time: 114.6243591309s, input_fired_time: 1.1934719086, output_fired_time: 0.0000000000, propagate_forward_time: 110.4132156372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0176696777
validation[          , genome  6070] predictions:    5452/  10000 (54.52%), best:    5452/10000 (54.52%), error:     14078.81738, best error:     14078.81738 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1381.6574707031s, input_fired_time: 10.6870155334, output_fired_time: 9.8026971817, propagate_forward_time: 551.9459838867, propagate_backward_time: 796.3023071289, weight_update_time: 1.2971928120, other_time: 12.9194335938
epoch time: 111.9850234985s, input_fired_time: 1.1888015270, output_fired_time: 0.0000000000, propagate_forward_time: 108.7276458740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0685729980
validation[          , genome  6070] predictions:    5322/  10000 (53.22%), best:    5452/10000 (54.52%), error:     14725.27148, best error:     14078.81738 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1399.8868408203s, input_fired_time: 9.6834650040, output_fired_time: 10.2991724014, propagate_forward_time: 550.2655029297, propagate_backward_time: 818.0191040039, weight_update_time: 1.3020311594, other_time: 11.6195678711
epoch time: 114.1827087402s, input_fired_time: 1.1960192919, output_fired_time: 0.0000000000, propagate_forward_time: 110.9744033813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0122833252
validation[          , genome  6070] predictions:    5492/  10000 (54.92%), best:    5492/10000 (54.92%), error:     13908.92090, best error:     13908.92090 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1382.6153564453s, input_fired_time: 10.6905975342, output_fired_time: 9.2951288223, propagate_forward_time: 543.9574584961, propagate_backward_time: 805.7019653320, weight_update_time: 1.3033487797, other_time: 12.9702148438
epoch time: 112.4196472168s, input_fired_time: 1.1999078989, output_fired_time: 0.0000000000, propagate_forward_time: 109.2033233643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0164184570
validation[          , genome  6070] predictions:    5094/  10000 (50.94%), best:    5492/10000 (54.92%), error:     15809.48730, best error:     13908.92090 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1395.2561035156s, input_fired_time: 10.7070951462, output_fired_time: 9.2885103226, propagate_forward_time: 555.0627441406, propagate_backward_time: 807.4379882813, weight_update_time: 1.2983915806, other_time: 12.7597656250
epoch time: 114.4456558228s, input_fired_time: 1.1989324093, output_fired_time: 0.0000000000, propagate_forward_time: 111.2988052368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9479217529
validation[          , genome  6070] predictions:    5357/  10000 (53.57%), best:    5492/10000 (54.92%), error:     14425.10938, best error:     13908.92090 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1397.2404785156s, input_fired_time: 12.7855215073, output_fired_time: 9.3082809448, propagate_forward_time: 550.0979614258, propagate_backward_time: 811.0783691406, weight_update_time: 1.2999564409, other_time: 13.9703979492
epoch time: 113.6726379395s, input_fired_time: 1.1889859438, output_fired_time: 0.0000000000, propagate_forward_time: 110.4408721924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0427780151
validation[          , genome  6070] predictions:    5431/  10000 (54.31%), best:    5492/10000 (54.92%), error:     14490.12109, best error:     13908.92090 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1407.2725830078s, input_fired_time: 10.6927461624, output_fired_time: 9.3435201645, propagate_forward_time: 558.5042114258, propagate_backward_time: 814.9929199219, weight_update_time: 1.2988296747, other_time: 13.7391967773
epoch time: 116.6797180176s, input_fired_time: 2.2205882072, output_fired_time: 0.0000000000, propagate_forward_time: 112.4251861572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0339431763
validation[          , genome  6070] predictions:    5515/  10000 (55.15%), best:    5492/10000 (54.92%), error:     14591.60449, best error:     13908.92090 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1395.1810302734s, input_fired_time: 9.7126436234, output_fired_time: 9.2974891663, propagate_forward_time: 552.9166259766, propagate_backward_time: 809.4465332031, weight_update_time: 1.2957803011, other_time: 13.8077392578
epoch time: 113.6164321899s, input_fired_time: 1.1805902719, output_fired_time: 0.0000000000, propagate_forward_time: 110.3964614868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0393829346
validation[          , genome  6070] predictions:    5292/  10000 (52.92%), best:    5492/10000 (54.92%), error:     15111.97949, best error:     13908.92090 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1390.2574462891s, input_fired_time: 11.6272439957, output_fired_time: 10.3294448853, propagate_forward_time: 549.3781127930, propagate_backward_time: 807.0684814453, weight_update_time: 1.2915041447, other_time: 11.8541870117
epoch time: 113.5955123901s, input_fired_time: 1.1833460331, output_fired_time: 0.0000000000, propagate_forward_time: 110.3781356812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0340270996
validation[          , genome  6070] predictions:    5429/  10000 (54.29%), best:    5492/10000 (54.92%), error:     14410.17090, best error:     13908.92090 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1391.7204589844s, input_fired_time: 9.6961822510, output_fired_time: 9.2852249146, propagate_forward_time: 555.8773803711, propagate_backward_time: 804.1610717773, weight_update_time: 2.2017891407, other_time: 12.7005615234
epoch time: 114.8828506470s, input_fired_time: 1.2224198580, output_fired_time: 0.0000000000, propagate_forward_time: 111.5902786255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0701522827
validation[          , genome  6070] predictions:    5098/  10000 (50.98%), best:    5492/10000 (54.92%), error:     17386.67773, best error:     13908.92090 on epoch:    10, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1390.6790771484s, input_fired_time: 9.7348728180, output_fired_time: 11.2490854263, propagate_forward_time: 550.2699584961, propagate_backward_time: 807.6743164063, weight_update_time: 1.2932761908, other_time: 11.7507934570
epoch time: 113.3562164307s, input_fired_time: 1.2106750011, output_fired_time: 0.0000000000, propagate_forward_time: 109.1357879639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0097503662
validation[          , genome  6070] predictions:    5547/  10000 (55.47%), best:    5492/10000 (54.92%), error:     14303.51758, best error:     13908.92090 on epoch:    10, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1399.3287353516s, input_fired_time: 11.7719488144, output_fired_time: 10.2797670364, propagate_forward_time: 551.1294555664, propagate_backward_time: 813.3211059570, weight_update_time: 1.3161475658, other_time: 12.8264160156
epoch time: 113.1146621704s, input_fired_time: 1.2006580830, output_fired_time: 0.0000000000, propagate_forward_time: 109.8914108276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0225906372
validation[          , genome  6070] predictions:    5497/  10000 (54.97%), best:    5492/10000 (54.92%), error:     14589.75488, best error:     13908.92090 on epoch:    10, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1392.5036621094s, input_fired_time: 10.7460441589, output_fired_time: 9.3074779510, propagate_forward_time: 546.5125122070, propagate_backward_time: 812.1145019531, weight_update_time: 2.3118534088, other_time: 13.8230590820
epoch time: 114.2407913208s, input_fired_time: 1.2074736357, output_fired_time: 0.0000000000, propagate_forward_time: 111.0024871826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0308303833
validation[          , genome  6070] predictions:    5721/  10000 (57.21%), best:    5721/10000 (57.21%), error:     13676.22656, best error:     13676.22656 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1399.4276123047s, input_fired_time: 10.7746191025, output_fired_time: 12.3540182114, propagate_forward_time: 549.7348022461, propagate_backward_time: 809.6543579102, weight_update_time: 1.3018567562, other_time: 16.9097900391
epoch time: 112.9586410522s, input_fired_time: 1.2022261620, output_fired_time: 0.0000000000, propagate_forward_time: 109.6818771362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0745391846
validation[          , genome  6070] predictions:    5627/  10000 (56.27%), best:    5627/10000 (56.27%), error:     13436.36621, best error:     13436.36621 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1403.6210937500s, input_fired_time: 11.8433122635, output_fired_time: 10.2700147629, propagate_forward_time: 556.0007934570, propagate_backward_time: 812.6152954102, weight_update_time: 1.3077728748, other_time: 12.8917236328
epoch time: 114.5239028931s, input_fired_time: 1.2106176615, output_fired_time: 0.0000000000, propagate_forward_time: 110.2773971558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0358886719
validation[          , genome  6070] predictions:    5735/  10000 (57.35%), best:    5735/10000 (57.35%), error:     13043.58105, best error:     13043.58105 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1309.7252197266s, input_fired_time: 10.3311939240, output_fired_time: 9.6720008850, propagate_forward_time: 513.0486450195, propagate_backward_time: 764.3909301758, weight_update_time: 1.2589241266, other_time: 12.2824707031
epoch time: 105.5622634888s, input_fired_time: 1.1486164331, output_fired_time: 0.0000000000, propagate_forward_time: 102.5456237793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8680267334
validation[          , genome  6070] predictions:    5662/  10000 (56.62%), best:    5735/10000 (57.35%), error:     13636.65625, best error:     13043.58105 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1298.8190917969s, input_fired_time: 10.2962617874, output_fired_time: 8.5990591049, propagate_forward_time: 511.9981384277, propagate_backward_time: 755.7227172852, weight_update_time: 1.2349852324, other_time: 12.2029418945
epoch time: 105.3162002563s, input_fired_time: 1.1526607275, output_fired_time: 0.0000000000, propagate_forward_time: 101.1843872070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9791488647
validation[          , genome  6070] predictions:    5616/  10000 (56.16%), best:    5735/10000 (57.35%), error:     13556.29199, best error:     13043.58105 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1291.8170166016s, input_fired_time: 10.2690553665, output_fired_time: 8.6529531479, propagate_forward_time: 506.7525329590, propagate_backward_time: 753.9329833984, weight_update_time: 2.2380790710, other_time: 12.2094726563
epoch time: 105.4963150024s, input_fired_time: 1.1286848783, output_fired_time: 0.0000000000, propagate_forward_time: 101.4469604492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9206695557
validation[          , genome  6070] predictions:    5719/  10000 (57.19%), best:    5735/10000 (57.35%), error:     13801.08008, best error:     13043.58105 on epoch:    22, 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: 523.0363769531s, input_fired_time: 5.7186822891, output_fired_time: 0.0000000000, propagate_forward_time: 506.5241394043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7935485840
best training[          , genome  6070] predictions:   32727/  50000 (65.45%), best:    5735/10000 (57.35%), error:     50721.86328, best error:     13043.58105 on epoch:    22, 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: 104.8073043823s, input_fired_time: 1.1449017525, output_fired_time: 0.0000000000, propagate_forward_time: 101.6912841797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9711151123
   testing[          , genome  6070] predictions:    5735/  10000 (57.35%), best:    5735/10000 (57.35%), error:     13043.58105, best error:     13043.58105 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
05:05:38 (21152): called boinc_finish(0)

</stderr_txt>
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