Nameexact_genome_1542649503_172_6323_0
Workunit4099011
Created19 Nov 2018, 23:45:21 UTC
Sent19 Nov 2018, 23:45:29 UTC
Report deadline17 Dec 2018, 6:26:08 UTC
Received22 Nov 2018, 20:23:27 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID83366
Run time11 hours 58 min 44 sec
CPU time11 hours 31 min 52 sec
Validate stateValid
Credit6,819.56
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size579.91 MB
Peak swap size599.66 MB
Peak disk usage12.71 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
poch:    1/25, mu: 0.5070560575, learning_rate: 0.0020090081, weight_decay: 0.0002386777

epoch time: 3615.5581054688s, input_fired_time: 68.5209960938, output_fired_time: 37.8369560242, propagate_forward_time: 1440.4449462891, propagate_backward_time: 2027.5141601563, weight_update_time: 0.5135547519, other_time: 41.2412109375
epoch time: 297.1609802246s, input_fired_time: 4.8985271454, output_fired_time: 0.0000000000, propagate_forward_time: 279.8934936523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.3689575195
validation[          , genome  6323] predictions:    6035/  10000 (60.35%), best:    6035/10000 (60.35%), error:     11323.75488, best error:     11323.75488 on epoch:     2, epoch:    2/25, mu: 0.5356877446, learning_rate: 0.0018499149, weight_decay: 0.0002250609

epoch time: 3431.7231445313s, input_fired_time: 53.5339202881, output_fired_time: 24.8928756714, propagate_forward_time: 1357.9313964844, propagate_backward_time: 1948.1152343750, weight_update_time: 0.4514136910, other_time: 47.2497558594
epoch time: 332.5134887695s, input_fired_time: 3.5548846722, output_fired_time: 0.0000000000, propagate_forward_time: 320.7814941406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1771240234
validation[          , genome  6323] predictions:    6196/  10000 (61.96%), best:    6196/10000 (61.96%), error:     11021.34082, best error:     11021.34082 on epoch:     3, epoch:    3/25, mu: 0.5626220107, learning_rate: 0.0017034203, weight_decay: 0.0002122211

epoch time: 3656.8620605469s, input_fired_time: 57.3815116882, output_fired_time: 30.1564731598, propagate_forward_time: 1425.3591308594, propagate_backward_time: 2078.3139648438, weight_update_time: 0.5514807105, other_time: 65.6508789063
epoch time: 284.5452575684s, input_fired_time: 6.4704327583, output_fired_time: 0.0000000000, propagate_forward_time: 264.2594604492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.8153686523
validation[          , genome  6323] predictions:    6040/  10000 (60.40%), best:    6196/10000 (61.96%), error:     11349.66504, best error:     11021.34082 on epoch:     3, epoch:    4/25, mu: 0.5879594684, learning_rate: 0.0015685266, weight_decay: 0.0002001137

epoch time: 3468.4030761719s, input_fired_time: 60.5729789734, output_fired_time: 18.9964885712, propagate_forward_time: 1356.1821289063, propagate_backward_time: 1982.3745117188, weight_update_time: 3.5903215408, other_time: 50.2768554688
epoch time: 292.9580383301s, input_fired_time: 1.9395161867, output_fired_time: 0.0000000000, propagate_forward_time: 283.1818847656, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.8366394043
validation[          , genome  6323] predictions:    6188/  10000 (61.88%), best:    6188/10000 (61.88%), error:     10949.65527, best error:     10949.65527 on epoch:     5, epoch:    5/25, mu: 0.6117947698, learning_rate: 0.0014443152, weight_decay: 0.0001886971

epoch time: 4158.5820312500s, input_fired_time: 72.2694625854, output_fired_time: 33.0870208740, propagate_forward_time: 1438.2232666016, propagate_backward_time: 2064.9428710938, weight_update_time: 0.6681796312, other_time: 550.0595703125
epoch time: 292.2038269043s, input_fired_time: 1.8451187611, output_fired_time: 0.0000000000, propagate_forward_time: 258.7046813965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 31.6540222168
validation[          , genome  6323] predictions:    6273/  10000 (62.73%), best:    6273/10000 (62.73%), error:     10709.16504, best error:     10709.16504 on epoch:     6, epoch:    6/25, mu: 0.6342169642, learning_rate: 0.0013299400, weight_decay: 0.0001779318

epoch time: 3842.7004394531s, input_fired_time: 71.5000457764, output_fired_time: 28.4393558502, propagate_forward_time: 1416.6142578125, propagate_backward_time: 2034.0943603516, weight_update_time: 0.4652711451, other_time: 292.0523681641
epoch time: 297.9414367676s, input_fired_time: 1.9319952726, output_fired_time: 0.0000000000, propagate_forward_time: 284.8577270508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1517028809
validation[          , genome  6323] predictions:    6188/  10000 (61.88%), best:    6273/10000 (62.73%), error:     10798.51172, best error:     10709.16504 on epoch:     6, epoch:    7/25, mu: 0.6553098559, learning_rate: 0.0012246222, weight_decay: 0.0001677806

epoch time: 3601.2561035156s, input_fired_time: 70.3004684448, output_fired_time: 34.3893508911, propagate_forward_time: 1457.4533691406, propagate_backward_time: 1998.4334716797, weight_update_time: 0.4929978848, other_time: 40.6793212891
epoch time: 298.1405639648s, input_fired_time: 1.9767377377, output_fired_time: 0.0000000000, propagate_forward_time: 285.2244873047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.9393310547
validation[          , genome  6323] predictions:    6215/  10000 (62.15%), best:    6273/10000 (62.73%), error:     10909.05078, best error:     10709.16504 on epoch:     6, epoch:    8/25, mu: 0.6751522422, learning_rate: 0.0011276446, weight_decay: 0.0001582086

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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.693818
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.00103835
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 0.000149183
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 6273
read best_validation_error: 10709.2
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '150911099'
read generator: 150911099
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.693818
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.00103835
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 0.000149183
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 6273
read best_validation_error: 10709.2
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '150911099'
read generator: 150911099
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.693818
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.00103835
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 0.000149183
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 6273
read best_validation_error: 10709.2
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '150911099'
read generator: 150911099
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.693818
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.00103835
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 0.000149183
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 6273
read best_validation_error: 10709.2
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '150911099'
read generator: 150911099
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 4388.16650390625s, input_fired_time: 77.4424591064453, output_fired_time: 36.6630783081055, propagate_forward_time: 1725.34838867188, propagate_backward_time: 2498.16088867188, weight_update_time: 0.610950529575348, other_time: 50.5517578125
epoch time: 324.173034667969s, input_fired_time: 5.138503074646, output_fired_time: 0, propagate_forward_time: 310.8740234375, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.1605224609375
validation[          , genome  6323] predictions:    6181/  10000 (61.81%), best:    6273/10000 (62.73%), error:     10919.42676, best error:     10709.16504 on epoch:     6, epoch:    9/25, mu: 0.6938182116, learning_rate: 0.0010383466, weight_decay: 0.0001491827

epoch time: 3661.7722167969s, input_fired_time: 64.5125122070, output_fired_time: 28.6246948242, propagate_forward_time: 1447.4942626953, propagate_backward_time: 2058.2338867188, weight_update_time: 2.0516467094, other_time: 62.9067382813
epoch time: 310.6319580078s, input_fired_time: 3.3901381493, output_fired_time: 0.0000000000, propagate_forward_time: 290.6035766602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.6382446289
validation[          , genome  6323] predictions:    6345/  10000 (63.45%), best:    6345/10000 (63.45%), error:     10457.12695, best error:     10457.12695 on epoch:    10, epoch:   10/25, mu: 0.7113775611, learning_rate: 0.0009561200, weight_decay: 0.0001406717

epoch time: 3730.9338378906s, input_fired_time: 70.7556457520, output_fired_time: 32.2782630920, propagate_forward_time: 1409.8406982422, propagate_backward_time: 2054.9323730469, weight_update_time: 1.9312756062, other_time: 163.1267089844
epoch time: 320.6603088379s, input_fired_time: 5.0852160454, output_fired_time: 0.0000000000, propagate_forward_time: 304.3637390137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2113647461
validation[          , genome  6323] predictions:    6325/  10000 (63.25%), best:    6345/10000 (63.45%), error:     10581.57910, best error:     10457.12695 on epoch:    10, epoch:   11/25, mu: 0.7278959155, learning_rate: 0.0008804050, weight_decay: 0.0001326463

epoch time: 3726.1708984375s, input_fired_time: 60.1912765503, output_fired_time: 29.8402080536, propagate_forward_time: 1497.5500488281, propagate_backward_time: 2094.8266601563, weight_update_time: 0.4990779757, other_time: 43.7629394531
epoch time: 289.6124877930s, input_fired_time: 4.9578342438, output_fired_time: 0.0000000000, propagate_forward_time: 278.3374633789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.3171997070
validation[          , genome  6323] predictions:    6381/  10000 (63.81%), best:    6381/10000 (63.81%), error:     10456.52246, best error:     10456.52246 on epoch:    12, epoch:   12/25, mu: 0.7434349656, learning_rate: 0.0008106858, weight_decay: 0.0001250787

epoch time: 3710.5358886719s, input_fired_time: 62.0183486938, output_fired_time: 27.3423881531, propagate_forward_time: 1473.9195556641, propagate_backward_time: 2096.5092773438, weight_update_time: 2.0387196541, other_time: 50.7465820313
epoch time: 317.2829895020s, input_fired_time: 8.1211881638, output_fired_time: 0.0000000000, propagate_forward_time: 298.0968933105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.0649108887
validation[          , genome  6323] predictions:    6376/  10000 (63.76%), best:    6381/10000 (63.81%), error:     10481.26465, best error:     10456.52246 on epoch:    12, epoch:   13/25, mu: 0.7580527663, learning_rate: 0.0007464877, weight_decay: 0.0001179429

epoch time: 3740.0415039063s, input_fired_time: 62.8381347656, output_fired_time: 36.3857116699, propagate_forward_time: 1472.6624755859, propagate_backward_time: 2117.9711914063, weight_update_time: 0.5011358261, other_time: 50.1840820313
epoch time: 313.0639038086s, input_fired_time: 2.0473778248, output_fired_time: 0.0000000000, propagate_forward_time: 306.0619812012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9545593262
validation[          , genome  6323] predictions:    6447/  10000 (64.47%), best:    6447/10000 (64.47%), error:     10212.56348, best error:     10212.56348 on epoch:    14, epoch:   14/25, mu: 0.7718039155, learning_rate: 0.0006873734, weight_decay: 0.0001112142

epoch time: 3760.0251464844s, input_fired_time: 61.3652687073, output_fired_time: 25.3386363983, propagate_forward_time: 1501.6546630859, propagate_backward_time: 2122.7822265625, weight_update_time: 2.0094988346, other_time: 48.8842773438
epoch time: 312.8139953613s, input_fired_time: 5.1604142189, output_fired_time: 0.0000000000, propagate_forward_time: 297.2570495605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.3965454102
validation[          , genome  6323] predictions:    6388/  10000 (63.88%), best:    6447/10000 (64.47%), error:     10384.60449, best error:     10212.56348 on epoch:    14, epoch:   15/25, mu: 0.7847398520, learning_rate: 0.0006329404, weight_decay: 0.0001048693

epoch time: 3784.9406738281s, input_fired_time: 74.9028167725, output_fired_time: 33.4646835327, propagate_forward_time: 1480.6740722656, propagate_backward_time: 2061.6303710938, weight_update_time: 0.4932821393, other_time: 134.2687988281
epoch time: 290.5079956055s, input_fired_time: 1.8652865887, output_fired_time: 0.0000000000, propagate_forward_time: 271.8622741699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.7804260254
validation[          , genome  6323] predictions:    6438/  10000 (64.38%), best:    6447/10000 (64.47%), error:     10293.95703, best error:     10212.56348 on epoch:    14, epoch:   16/25, mu: 0.7969088554, learning_rate: 0.0005828179, weight_decay: 0.0000988865

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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.808356
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.000536665
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 9.32449e-05
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 17
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 6447
read best_validation_error: 10212.6
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '969478645'
read generator: 969478645
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 4114.57568359375s, input_fired_time: 51.3310089111328, output_fired_time: 26.0513553619385, propagate_forward_time: 1271.16711425781, propagate_backward_time: 1843.51123046875, weight_update_time: 1.91823208332062, other_time: 922.51513671875
epoch time: 285.965423583984s, input_fired_time: 6.29009866714478, output_fired_time: 0, propagate_forward_time: 248.914825439453, propagate_backward_time: 0, weight_update_time: 0, other_time: 30.760498046875
validation[          , genome  6323] predictions:    6364/  10000 (63.64%), best:    6447/10000 (64.47%), error:     10495.44824, best error:     10212.56348 on epoch:    14, epoch:   17/25, mu: 0.8083564043, learning_rate: 0.0005366646, weight_decay: 0.0000932449

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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.819125
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.000494166
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 8.79252e-05
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 6447
read best_validation_error: 10212.6
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '213175025'
read generator: 213175025
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 3453.4248046875s, input_fired_time: 68.7800674438477, output_fired_time: 26.3151016235352, propagate_forward_time: 1343.31713867188, propagate_backward_time: 1921.74462890625, weight_update_time: 1.96931767463684, other_time: 93.267822265625
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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.819125
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.000494166
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 8.79252e-05
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 6447
read best_validation_error: 10212.6
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '213175025'
read generator: 213175025
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.819125
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.000494166
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 8.79252e-05
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 18
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 6447
read best_validation_error: 10212.6
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: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '213175025'
read generator: 213175025
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 3432.57592773438s, input_fired_time: 49.8565711975098, output_fired_time: 26.1741504669189, propagate_forward_time: 1372.03515625, propagate_backward_time: 1930.29650878906, weight_update_time: 1.99298667907715, other_time: 54.2135009765625
epoch time: 327.316802978516s, input_fired_time: 5.15150022506714, output_fired_time: 0, propagate_forward_time: 306.955535888672, propagate_backward_time: 0, weight_update_time: 0, other_time: 15.2097778320313
validation[          , genome  6323] predictions:    6334/  10000 (63.34%), best:    6447/10000 (64.47%), error:     10585.60156, best error:     10212.56348 on epoch:    14, epoch:   18/25, mu: 0.8191252947, learning_rate: 0.0004941662, weight_decay: 0.0000879252

epoch time: 3833.0310058594s, input_fired_time: 72.7622070313, output_fired_time: 30.9162044525, propagate_forward_time: 1509.6457519531, propagate_backward_time: 2160.8554687500, weight_update_time: 3.5379285812, other_time: 58.8513183594
epoch time: 295.2171936035s, input_fired_time: 3.4176769257, output_fired_time: 0.0000000000, propagate_forward_time: 280.7131652832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.0863647461
validation[          , genome  6323] predictions:    6510/  10000 (65.10%), best:    6510/10000 (65.10%), error:     10045.63672, best error:     10045.63672 on epoch:    19, epoch:   19/25, mu: 0.8292557597, learning_rate: 0.0004550332, weight_decay: 0.0000829090

epoch time: 3594.1052246094s, input_fired_time: 67.8659896851, output_fired_time: 27.2868213654, propagate_forward_time: 1414.5826416016, propagate_backward_time: 2029.5091552734, weight_update_time: 2.0065879822, other_time: 54.8604736328
epoch time: 315.7253417969s, input_fired_time: 5.0763335228, output_fired_time: 0.0000000000, propagate_forward_time: 301.0401000977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.6089172363
validation[          , genome  6323] predictions:    6478/  10000 (64.78%), best:    6510/10000 (65.10%), error:     10198.63770, best error:     10045.63672 on epoch:    19, epoch:   20/25, mu: 0.8387855887, learning_rate: 0.0004189992, weight_decay: 0.0000781790

epoch time: 3711.3186035156s, input_fired_time: 56.5591621399, output_fired_time: 27.3880653381, propagate_forward_time: 1468.2479248047, propagate_backward_time: 2110.8342285156, weight_update_time: 2.0113089085, other_time: 48.2893066406
epoch time: 307.9710998535s, input_fired_time: 5.0285220146, output_fired_time: 0.0000000000, propagate_forward_time: 295.0082702637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9342956543
validation[          , genome  6323] predictions:    6475/  10000 (64.75%), best:    6510/10000 (65.10%), error:     10093.98047, best error:     10045.63672 on epoch:    19, epoch:   21/25, mu: 0.8477504253, learning_rate: 0.0003858187, weight_decay: 0.0000737189

epoch time: 3710.5717773438s, input_fired_time: 66.5968017578, output_fired_time: 26.0579833984, propagate_forward_time: 1471.3874511719, propagate_backward_time: 2094.8952636719, weight_update_time: 2.0117700100, other_time: 51.6342773438
epoch time: 309.8575744629s, input_fired_time: 5.0478353500, output_fired_time: 0.0000000000, propagate_forward_time: 296.5849914551, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2247619629
validation[          , genome  6323] predictions:    6490/  10000 (64.90%), best:    6510/10000 (65.10%), error:     10085.53320, best error:     10045.63672 on epoch:    19, epoch:   22/25, mu: 0.8561838269, learning_rate: 0.0003552658, weight_decay: 0.0000695131

epoch time: 3706.9663085938s, input_fired_time: 60.6601448059, output_fired_time: 28.9471035004, propagate_forward_time: 1473.3204345703, propagate_backward_time: 2096.6271972656, weight_update_time: 0.5044210553, other_time: 47.4113769531
epoch time: 307.5849914551s, input_fired_time: 4.9469509125, output_fired_time: 0.0000000000, propagate_forward_time: 290.2778930664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.3601379395
validation[          , genome  6323] predictions:    6480/  10000 (64.80%), best:    6510/10000 (65.10%), error:     10103.40332, best error:     10045.63672 on epoch:    19, epoch:   23/25, mu: 0.8641172051, learning_rate: 0.0003271323, weight_decay: 0.0000655474

epoch time: 3708.9201660156s, input_fired_time: 78.8090209961, output_fired_time: 35.1362876892, propagate_forward_time: 1462.6733398438, propagate_backward_time: 2096.2578125000, weight_update_time: 0.5019793510, other_time: 36.0437011719
epoch time: 309.8492736816s, input_fired_time: 4.9624857903, output_fired_time: 0.0000000000, propagate_forward_time: 295.4523315430, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.4344482422
validation[          , genome  6323] predictions:    6535/  10000 (65.35%), best:    6535/10000 (65.35%), error:     10020.27637, best error:     10020.27637 on epoch:    24, epoch:   24/25, mu: 0.8715802431, learning_rate: 0.0003012267, weight_decay: 0.0000618078

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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'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_172_6323.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_172_6323_0_r381020167_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: 0.47662
read mu: 0.878601
read mu_delta: 0.940714
read initial_learning_rate: 0.00218178
read learning_rate: 0.000277373
read learning_rate_delta: 0.92081
read initial_weight_decay: 0.000253118
read weight_decay: 5.82817e-05
read weight_decay_delta: 0.942949
read batch_size: 104
read epsilon: 1e-07
read alpha: 0.088615
read input_dropout_probability: 0.00140077
read hidden_dropout_probability: 0.0799873
read velocity_reset: 1604
read epoch: 25
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 6535
read best_validation_error: 10020.3
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6323
read normal distribution: '0 0.408055514097214 0.965170800685883'
generator_str: '1660818499'
read generator: 1660818499
read generated_by_map:
1 change_size 1
reading 106 nodes.
reading 416 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: 3818.5751953125s, input_fired_time: 78.9346008300781, output_fired_time: 19.7476329803467, propagate_forward_time: 1403.17834472656, propagate_backward_time: 2038.42993164063, weight_update_time: 0.489466309547424, other_time: 278.284912109375
epoch time: 340.230712890625s, input_fired_time: 2.34392189979553, output_fired_time: 0, propagate_forward_time: 328.224945068359, propagate_backward_time: 0, weight_update_time: 0, other_time: 9.66183471679688
validation[          , genome  6323] predictions:    6549/  10000 (65.49%), best:    6535/10000 (65.35%), error:     10083.87695, best error:     10020.27637 on epoch:    24, epoch:   25/25, mu: 0.8786008358, learning_rate: 0.0002773726, weight_decay: 0.0000582817

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1670.3751220703s, input_fired_time: 26.4352416992, output_fired_time: 0.0000000000, propagate_forward_time: 1591.3181152344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 52.6218261719
best training[          , genome  6323] predictions:   36454/  50000 (72.91%), best:    6535/10000 (65.35%), error:     40550.10156, best error:     10020.27637 on epoch:    24, epoch:   26/25, mu: 0.8852052093, learning_rate: 0.0002554075, weight_decay: 0.0000549567
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 333.1580505371s, input_fired_time: 5.3064417839, output_fired_time: 0.0000000000, propagate_forward_time: 317.8298645020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.0217590332
   testing[          , genome  6323] predictions:    6535/  10000 (65.35%), best:    6535/10000 (65.35%), error:     10020.27637, best error:     10020.27637 on epoch:    24, epoch:   26/25, mu: 0.8852052093, learning_rate: 0.0002554075, weight_decay: 0.0000549567
backpropagation finished successfully!
02:36:29 (1472): called boinc_finish(0)

</stderr_txt>
]]>