Nameexact_genome_1535714404_162_11893_0
Workunit3939323
Created3 Sep 2018, 15:36:05 UTC
Sent3 Sep 2018, 16:30:04 UTC
Report deadline26 Feb 2019, 23:47:16 UTC
Received8 Sep 2018, 18:33:39 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID84153
Run time2 days 21 hours 56 min 47 sec
CPU time2 days 20 hours 26 min 40 sec
Validate stateInitial
Credit0.00
Device peak FLOPS4.74 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size585.82 MB
Peak swap size652.91 MB
Peak disk usage11.08 MB

Stderr output

<core_client_version>7.9.3</core_client_version>
<![CDATA[
<stderr_txt>
 11893] predictions:    6867/  10000 (68.67%), best:    6902/10000 (69.02%), error:      9108.22754, best error:      9050.92480 on epoch:    48, epoch:   53/100, mu: 0.9598563313, learning_rate: 0.0000311419, weight_decay: 0.0000346527

epoch time: 2523.0856933594s, input_fired_time: 35.2619705200, output_fired_time: 12.8447589874, propagate_forward_time: 934.7516479492, propagate_backward_time: 1524.0286865234, weight_update_time: 0.5869547129, other_time: 16.1986083984
epoch time: 191.4070739746s, input_fired_time: 1.6640175581, output_fired_time: 0.0000000000, propagate_forward_time: 187.2939147949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4491424561
validation[          , genome 11893] predictions:    6888/  10000 (68.88%), best:    6902/10000 (69.02%), error:      9144.25977, best error:      9050.92480 on epoch:    48, epoch:   54/100, mu: 0.9613931179, learning_rate: 0.0000289944, weight_decay: 0.0000329058

epoch time: 2544.1425781250s, input_fired_time: 37.2593002319, output_fired_time: 12.9859123230, propagate_forward_time: 937.9413452148, propagate_backward_time: 1538.7037353516, weight_update_time: 0.5757716894, other_time: 17.2523193359
epoch time: 188.9362335205s, input_fired_time: 1.6394004822, output_fired_time: 0.0000000000, propagate_forward_time: 184.9030914307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3937377930
validation[          , genome 11893] predictions:    6830/  10000 (68.30%), best:    6902/10000 (69.02%), error:      9115.78027, best error:      9050.92480 on epoch:    48, epoch:   55/100, mu: 0.9628515840, learning_rate: 0.0000269950, weight_decay: 0.0000312469

epoch time: 2524.4958496094s, input_fired_time: 34.2159423828, output_fired_time: 13.7711982727, propagate_forward_time: 942.8693237305, propagate_backward_time: 1517.4099121094, weight_update_time: 0.5967498422, other_time: 16.2292480469
epoch time: 193.4078674316s, input_fired_time: 1.6601506472, output_fired_time: 0.0000000000, propagate_forward_time: 189.3059082031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4418029785
validation[          , genome 11893] predictions:    6828/  10000 (68.28%), best:    6902/10000 (69.02%), error:      9280.35840, best error:      9050.92480 on epoch:    48, epoch:   56/100, mu: 0.9642356634, learning_rate: 0.0000251334, weight_decay: 0.0000296716

epoch time: 2520.1848144531s, input_fired_time: 36.0755424500, output_fired_time: 11.7883472443, propagate_forward_time: 927.6359252930, propagate_backward_time: 1529.5769042969, weight_update_time: 0.5763199329, other_time: 15.1081542969
epoch time: 189.6848144531s, input_fired_time: 1.6433261633, output_fired_time: 0.0000000000, propagate_forward_time: 185.7162628174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3252258301
validation[          , genome 11893] predictions:    6873/  10000 (68.73%), best:    6902/10000 (69.02%), error:      9109.97754, best error:      9050.92480 on epoch:    48, epoch:   57/100, mu: 0.9655491710, learning_rate: 0.0000234003, weight_decay: 0.0000281758

epoch time: 2499.5583496094s, input_fired_time: 36.1119689941, output_fired_time: 11.6541833878, propagate_forward_time: 935.2800903320, propagate_backward_time: 1502.3804931641, weight_update_time: 0.5684843063, other_time: 14.1314697266
epoch time: 192.8737030029s, input_fired_time: 2.6714532375, output_fired_time: 0.0000000000, propagate_forward_time: 187.6858215332, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5164337158
validation[          , genome 11893] predictions:    6940/  10000 (69.40%), best:    6940/10000 (69.40%), error:      9033.69238, best error:      9033.69238 on epoch:    58, epoch:   58/100, mu: 0.9667957425, learning_rate: 0.0000217866, weight_decay: 0.0000267554

epoch time: 2514.5317382812s, input_fired_time: 33.0861358643, output_fired_time: 12.8669843674, propagate_forward_time: 925.9988403320, propagate_backward_time: 1528.3626708984, weight_update_time: 0.5730667114, other_time: 14.2171630859
epoch time: 194.6073455811s, input_fired_time: 1.6721400023, output_fired_time: 0.0000000000, propagate_forward_time: 190.4383850098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4968261719
validation[          , genome 11893] predictions:    6927/  10000 (69.27%), best:    6927/10000 (69.27%), error:      9004.87695, best error:      9004.87695 on epoch:    59, epoch:   59/100, mu: 0.9679787755, learning_rate: 0.0000202842, weight_decay: 0.0000254066

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.969101
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 1.88855e-05
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 2.41257e-05
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 60
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6927
read best_validation_error: 9004.88
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: 11893
read normal distribution: '1 0 0'
generator_str: '1636672406'
read generator: 1636672406
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.969101
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 1.88855e-05
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 2.41257e-05
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 60
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6927
read best_validation_error: 9004.88
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: 11893
read normal distribution: '1 0 0'
generator_str: '1636672406'
read generator: 1636672406
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.969101
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 1.88855e-05
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 2.41257e-05
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 60
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6927
read best_validation_error: 9004.88
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: 11893
read normal distribution: '1 0 0'
generator_str: '1636672406'
read generator: 1636672406
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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: 2513.61352539062s, input_fired_time: 36.0229911804199, output_fired_time: 12.8492288589478, propagate_forward_time: 924.407592773438, propagate_backward_time: 1524.12036132812, weight_update_time: 0.553615868091583, other_time: 16.2135009765625
epoch time: 185.331741333008s, input_fired_time: 1.6274402141571, output_fired_time: 0, propagate_forward_time: 179.346069335938, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.35823059082031
validation[          , genome 11893] predictions:    6898/  10000 (68.98%), best:    6927/10000 (69.27%), error:      9068.75977, best error:      9004.87695 on epoch:    59, epoch:   60/100, mu: 0.9691014886, learning_rate: 0.0000188855, weight_decay: 0.0000241257

epoch time: 2499.2729492188s, input_fired_time: 34.9939079285, output_fired_time: 13.6504106522, propagate_forward_time: 919.8548583984, propagate_backward_time: 1514.6351318359, weight_update_time: 0.5515605211, other_time: 16.1386718750
epoch time: 189.0779571533s, input_fired_time: 3.6629705429, output_fired_time: 0.0000000000, propagate_forward_time: 181.9765167236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4384765625
validation[          , genome 11893] predictions:    6892/  10000 (68.92%), best:    6927/10000 (69.27%), error:      9069.80664, best error:      9004.87695 on epoch:    59, epoch:   61/100, mu: 0.9701669216, learning_rate: 0.0000175831, weight_decay: 0.0000229095

epoch time: 2491.0708007812s, input_fired_time: 37.1513061523, output_fired_time: 12.6593151093, propagate_forward_time: 918.5460815430, propagate_backward_time: 1508.4907226562, weight_update_time: 0.5552968979, other_time: 14.2231445312
epoch time: 193.4195251465s, input_fired_time: 1.6622271538, output_fired_time: 0.0000000000, propagate_forward_time: 189.3029937744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4542999268
validation[          , genome 11893] predictions:    6924/  10000 (69.24%), best:    6924/10000 (69.24%), error:      9000.50586, best error:      9000.50586 on epoch:    62, epoch:   62/100, mu: 0.9711780548, learning_rate: 0.0000163706, weight_decay: 0.0000217546

epoch time: 2482.4245605469s, input_fired_time: 33.0897369385, output_fired_time: 11.6232900620, propagate_forward_time: 928.7526855469, propagate_backward_time: 1493.6384277344, weight_update_time: 0.5785545707, other_time: 15.3203125000
epoch time: 190.1914062500s, input_fired_time: 1.6500822306, output_fired_time: 0.0000000000, propagate_forward_time: 186.0971221924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4441986084
validation[          , genome 11893] predictions:    6901/  10000 (69.01%), best:    6924/10000 (69.24%), error:      9020.15918, best error:      9000.50586 on epoch:    62, epoch:   63/100, mu: 0.9721376300, learning_rate: 0.0000152417, weight_decay: 0.0000206578

epoch time: 2479.6030273438s, input_fired_time: 34.2240295410, output_fired_time: 16.6647415161, propagate_forward_time: 913.0726928711, propagate_backward_time: 1500.5509033203, weight_update_time: 0.5545938015, other_time: 15.0904541016
epoch time: 188.2842559814s, input_fired_time: 2.6441702843, output_fired_time: 0.0000000000, propagate_forward_time: 183.2548065186, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3852844238
validation[          , genome 11893] predictions:    6906/  10000 (69.06%), best:    6924/10000 (69.24%), error:      9018.06641, best error:      9000.50586 on epoch:    62, epoch:   64/100, mu: 0.9730482697, learning_rate: 0.0000141907, weight_decay: 0.0000196164

epoch time: 2502.1091308594s, input_fired_time: 34.1380462646, output_fired_time: 12.7407207489, propagate_forward_time: 928.3455810547, propagate_backward_time: 1510.7545166016, weight_update_time: 1.5584837198, other_time: 16.1303710938
epoch time: 191.0183563232s, input_fired_time: 1.6682629585, output_fired_time: 0.0000000000, propagate_forward_time: 186.8962554932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4538421631
validation[          , genome 11893] predictions:    6902/  10000 (69.02%), best:    6924/10000 (69.24%), error:      9043.22949, best error:      9000.50586 on epoch:    62, epoch:   65/100, mu: 0.9739125371, learning_rate: 0.0000132121, weight_decay: 0.0000186275

epoch time: 2500.8557128906s, input_fired_time: 37.2864265442, output_fired_time: 11.6946086884, propagate_forward_time: 928.9195556641, propagate_backward_time: 1508.7694091797, weight_update_time: 0.5624253154, other_time: 14.1857910156
epoch time: 188.5736083984s, input_fired_time: 1.6766722202, output_fired_time: 0.0000000000, propagate_forward_time: 184.5185852051, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3783569336
validation[          , genome 11893] predictions:    6973/  10000 (69.73%), best:    6973/10000 (69.73%), error:      8895.54980, best error:      8895.54980 on epoch:    66, epoch:   66/100, mu: 0.9747326970, learning_rate: 0.0000123010, weight_decay: 0.0000176884

epoch time: 2509.0236816406s, input_fired_time: 39.3312377930, output_fired_time: 12.8380222321, propagate_forward_time: 921.6022949219, propagate_backward_time: 1521.1466064453, weight_update_time: 0.5572014451, other_time: 14.1053466797
epoch time: 195.5978088379s, input_fired_time: 1.7116284370, output_fired_time: 0.0000000000, propagate_forward_time: 191.4028472900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4833374023
validation[          , genome 11893] predictions:    6937/  10000 (69.37%), best:    6973/10000 (69.73%), error:      8898.03125, best error:      8895.54980 on epoch:    66, epoch:   67/100, mu: 0.9755110741, learning_rate: 0.0000114528, weight_decay: 0.0000167967

epoch time: 2528.6271972656s, input_fired_time: 34.2964248657, output_fired_time: 12.7521266937, propagate_forward_time: 933.1802978516, propagate_backward_time: 1533.0456542969, weight_update_time: 0.5815151930, other_time: 15.3526611328
epoch time: 195.2168121338s, input_fired_time: 2.7005085945, output_fired_time: 0.0000000000, propagate_forward_time: 189.0806274414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4356689453
validation[          , genome 11893] predictions:    6956/  10000 (69.56%), best:    6973/10000 (69.73%), error:      8937.46387, best error:      8895.54980 on epoch:    66, epoch:   68/100, mu: 0.9762497544, learning_rate: 0.0000106630, weight_decay: 0.0000159499

epoch time: 2515.6403808594s, input_fired_time: 36.2301597595, output_fired_time: 11.7951126099, propagate_forward_time: 931.0324707031, propagate_backward_time: 1519.5101318359, weight_update_time: 0.5604811907, other_time: 17.0723876953
epoch time: 191.9331817627s, input_fired_time: 1.6681319475, output_fired_time: 0.0000000000, propagate_forward_time: 187.8952178955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3698272705
validation[          , genome 11893] predictions:    6962/  10000 (69.62%), best:    6973/10000 (69.73%), error:      8925.14453, best error:      8895.54980 on epoch:    66, epoch:   69/100, mu: 0.9769507647, learning_rate: 0.0000099277, weight_decay: 0.0000151458

epoch time: 2512.1840820312s, input_fired_time: 34.1968383789, output_fired_time: 12.8250694275, propagate_forward_time: 934.3689575195, propagate_backward_time: 1516.8131103516, weight_update_time: 0.5590355992, other_time: 13.9803466797
epoch time: 190.9702911377s, input_fired_time: 1.6841620207, output_fired_time: 0.0000000000, propagate_forward_time: 185.8866882324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3994445801
validation[          , genome 11893] predictions:    6961/  10000 (69.61%), best:    6973/10000 (69.73%), error:      8930.68457, best error:      8895.54980 on epoch:    66, epoch:   70/100, mu: 0.9776160717, learning_rate: 0.0000092431, weight_decay: 0.0000143823

epoch time: 2513.3359375000s, input_fired_time: 36.2290382385, output_fired_time: 13.7418451309, propagate_forward_time: 933.0800781250, propagate_backward_time: 1515.2147216797, weight_update_time: 0.5579757094, other_time: 15.0701904297
epoch time: 192.8253021240s, input_fired_time: 1.6594423056, output_fired_time: 0.0000000000, propagate_forward_time: 188.7183685303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4474945068
validation[          , genome 11893] predictions:    7002/  10000 (70.02%), best:    7002/10000 (70.02%), error:      8866.45410, best error:      8866.45410 on epoch:    71, epoch:   71/100, mu: 0.9782474041, learning_rate: 0.0000086057, weight_decay: 0.0000136572

epoch time: 2500.1604003906s, input_fired_time: 33.3078842163, output_fired_time: 12.7061958313, propagate_forward_time: 935.1033325195, propagate_backward_time: 1503.8328857422, weight_update_time: 0.5659353733, other_time: 15.2100830078
epoch time: 190.6726226807s, input_fired_time: 1.6639730930, output_fired_time: 0.0000000000, propagate_forward_time: 186.6025695801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4060821533
validation[          , genome 11893] predictions:    6951/  10000 (69.51%), best:    7002/10000 (70.02%), error:      8910.00391, best error:      8866.45410 on epoch:    71, epoch:   72/100, mu: 0.9788465500, learning_rate: 0.0000080122, weight_decay: 0.0000129687

epoch time: 2509.2778320312s, input_fired_time: 33.2779426575, output_fired_time: 11.7576971054, propagate_forward_time: 927.2271728516, propagate_backward_time: 1521.0167236328, weight_update_time: 0.5542895794, other_time: 15.9982910156
epoch time: 191.3931427002s, input_fired_time: 1.6654094458, output_fired_time: 0.0000000000, propagate_forward_time: 187.2965393066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4311981201
validation[          , genome 11893] predictions:    6983/  10000 (69.83%), best:    6983/10000 (69.83%), error:      8855.91602, best error:      8855.91602 on epoch:    73, epoch:   73/100, mu: 0.9794151783, learning_rate: 0.0000074597, weight_decay: 0.0000123149

epoch time: 2507.1621093750s, input_fired_time: 37.2266006470, output_fired_time: 11.8078527451, propagate_forward_time: 924.2650146484, propagate_backward_time: 1518.7406005859, weight_update_time: 0.5582197905, other_time: 15.1220703125
epoch time: 195.2747802734s, input_fired_time: 1.6990085840, output_fired_time: 0.0000000000, propagate_forward_time: 191.1807708740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3950042725
validation[          , genome 11893] predictions:    6957/  10000 (69.57%), best:    6983/10000 (69.83%), error:      8938.07812, best error:      8855.91602 on epoch:    73, epoch:   74/100, mu: 0.9799548388, learning_rate: 0.0000069453, weight_decay: 0.0000116941

epoch time: 2516.5141601562s, input_fired_time: 37.4841995239, output_fired_time: 14.9035224915, propagate_forward_time: 930.5776367188, propagate_backward_time: 1517.3127441406, weight_update_time: 0.5563223362, other_time: 16.2360839844
epoch time: 189.0863800049s, input_fired_time: 1.6892704964, output_fired_time: 0.0000000000, propagate_forward_time: 184.9570312500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4400787354
validation[          , genome 11893] predictions:    6978/  10000 (69.78%), best:    6983/10000 (69.83%), error:      8881.55078, best error:      8855.91602 on epoch:    73, epoch:   75/100, mu: 0.9804669619, learning_rate: 0.0000064664, weight_decay: 0.0000111046

epoch time: 2497.2260742188s, input_fired_time: 33.2850723267, output_fired_time: 11.6716947556, propagate_forward_time: 927.5513916016, propagate_backward_time: 1510.3750000000, weight_update_time: 0.5580050945, other_time: 14.3428955078
epoch time: 195.5833892822s, input_fired_time: 1.7197012901, output_fired_time: 0.0000000000, propagate_forward_time: 191.4605407715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4031524658
validation[          , genome 11893] predictions:    6983/  10000 (69.83%), best:    6983/10000 (69.83%), error:      8815.67969, best error:      8815.67969 on epoch:    76, epoch:   76/100, mu: 0.9809529781, learning_rate: 0.0000060205, weight_decay: 0.0000105448

epoch time: 2503.0773925781s, input_fired_time: 39.4642143250, output_fired_time: 12.6775798798, propagate_forward_time: 921.9985961914, propagate_backward_time: 1513.8245849609, weight_update_time: 0.5566041470, other_time: 15.1126708984
epoch time: 192.4558563232s, input_fired_time: 2.7027535439, output_fired_time: 0.0000000000, propagate_forward_time: 187.3140563965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4390411377
validation[          , genome 11893] predictions:    6994/  10000 (69.94%), best:    6983/10000 (69.83%), error:      8818.07812, best error:      8815.67969 on epoch:    76, epoch:   77/100, mu: 0.9814141989, learning_rate: 0.0000056053, weight_decay: 0.0000100132

epoch time: 2505.5720214844s, input_fired_time: 39.3789253235, output_fired_time: 11.7995061874, propagate_forward_time: 938.5130615234, propagate_backward_time: 1501.7331542969, weight_update_time: 0.5622142553, other_time: 14.1473388672
epoch time: 195.0166168213s, input_fired_time: 1.6777696609, output_fired_time: 0.0000000000, propagate_forward_time: 189.8690032959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4698486328
validation[          , genome 11893] predictions:    6971/  10000 (69.71%), best:    6983/10000 (69.83%), error:      8840.61816, best error:      8815.67969 on epoch:    76, epoch:   78/100, mu: 0.9818519354, learning_rate: 0.0000052188, weight_decay: 0.0000095084

epoch time: 2517.5595703125s, input_fired_time: 38.3632736206, output_fired_time: 14.7697334290, propagate_forward_time: 928.1931762695, propagate_backward_time: 1521.0498046875, weight_update_time: 0.5629655123, other_time: 15.1835937500
epoch time: 192.0154113770s, input_fired_time: 1.7021255493, output_fired_time: 0.0000000000, propagate_forward_time: 186.8560180664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4572753906
validation[          , genome 11893] predictions:    6984/  10000 (69.84%), best:    6983/10000 (69.83%), error:      8853.34766, best error:      8815.67969 on epoch:    76, epoch:   79/100, mu: 0.9822673202, learning_rate: 0.0000048589, weight_decay: 0.0000090290

epoch time: 2519.3369140625s, input_fired_time: 36.4256057739, output_fired_time: 11.8461837769, propagate_forward_time: 935.0679931641, propagate_backward_time: 1520.8000488281, weight_update_time: 0.5596964359, other_time: 15.1971435547
epoch time: 187.1511688232s, input_fired_time: 1.6617985964, output_fired_time: 0.0000000000, propagate_forward_time: 183.0833129883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4060516357
validation[          , genome 11893] predictions:    7006/  10000 (70.06%), best:    7006/10000 (70.06%), error:      8800.74902, best error:      8800.74902 on epoch:    80, epoch:   80/100, mu: 0.9826615453, learning_rate: 0.0000045238, weight_decay: 0.0000085738

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.983036
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 4.21186e-06
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 8.14161e-06
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 81
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 80
read number_validation_images: 10000
read best_validation_predictions: 7006
read best_validation_error: 8800.75
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: 11893
read normal distribution: '1 0 0'
generator_str: '610373966'
read generator: 610373966
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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: 2668.26220703125s, input_fired_time: 40.4293937683105, output_fired_time: 12.2602891921997, propagate_forward_time: 988.689636230469, propagate_backward_time: 1611.40710449219, weight_update_time: 0.60040682554245, other_time: 15.4757080078125
epoch time: 195.123626708984s, input_fired_time: 1.7173660993576, output_fired_time: 0, propagate_forward_time: 190.938613891602, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.4676513671875
validation[          , genome 11893] predictions:    6977/  10000 (69.77%), best:    7006/10000 (70.06%), error:      8846.29590, best error:      8800.74902 on epoch:    80, epoch:   81/100, mu: 0.9830356836, learning_rate: 0.0000042119, weight_decay: 0.0000081416

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.983391
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 3.92142e-06
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 7.73117e-06
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 80
read number_validation_images: 10000
read best_validation_predictions: 7006
read best_validation_error: 8800.75
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: 11893
read normal distribution: '1 0 0'
generator_str: '811207076'
read generator: 811207076
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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_0.33_x86_64-pc-linux-gnu'
	'--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_1535714404_162_11893.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1535714404_162_11893_0_r1708918985_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: 0.507323
read mu: 0.983391
read mu_delta: 0.949018
read initial_learning_rate: 0.00137402
read learning_rate: 3.92142e-06
read learning_rate_delta: 0.931041
read initial_weight_decay: 0.000537521
read weight_decay: 7.73117e-06
read weight_decay_delta: 0.949587
read batch_size: 94
read epsilon: 1e-07
read alpha: 0.106904
read input_dropout_probability: 0.00136439
read hidden_dropout_probability: 0.104106
read velocity_reset: 1830
read epoch: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 80
read number_validation_images: 10000
read best_validation_predictions: 7006
read best_validation_error: 8800.75
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: 11893
read normal distribution: '1 0 0'
generator_str: '811207076'
read generator: 811207076
read generated_by_map:
1 enable_edge 1
reading 147 nodes.
reading 570 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: 0.0684280395507812
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: 2538.84643554688s, input_fired_time: 35.2690811157227, output_fired_time: 13.755916595459, propagate_forward_time: 942.948791503906, propagate_backward_time: 1532.73413085938, weight_update_time: 0.55253404378891, other_time: 14.138671875
epoch time: 192.027816772461s, input_fired_time: 1.66534841060638, output_fired_time: 0, propagate_forward_time: 186.927703857422, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.43476867675781
validation[          , genome 11893] predictions:    6965/  10000 (69.65%), best:    7006/10000 (70.06%), error:      8809.00879, best error:      8800.74902 on epoch:    80, epoch:   82/100, mu: 0.9833907485, learning_rate: 0.0000039214, weight_decay: 0.0000077312

epoch time: 2511.7944335938s, input_fired_time: 36.2569313049, output_fired_time: 11.6473274231, propagate_forward_time: 931.9438476562, propagate_backward_time: 1517.8454589844, weight_update_time: 0.5553252697, other_time: 14.1010742188
epoch time: 197.6676940918s, input_fired_time: 2.7250854969, output_fired_time: 0.0000000000, propagate_forward_time: 192.5068359375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4357757568
validation[          , genome 11893] predictions:    6994/  10000 (69.94%), best:    7006/10000 (70.06%), error:      8815.77051, best error:      8800.74902 on epoch:    80, epoch:   83/100, mu: 0.9837276936, learning_rate: 0.0000036510, weight_decay: 0.0000073414

epoch time: 2512.9880371094s, input_fired_time: 38.2609024048, output_fired_time: 12.6875000000, propagate_forward_time: 925.9515380859, propagate_backward_time: 1519.9022216797, weight_update_time: 2.5595269203, other_time: 16.1857910156
epoch time: 190.1752319336s, input_fired_time: 1.6849344969, output_fired_time: 0.0000000000, propagate_forward_time: 186.0479888916, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4423065186
validation[          , genome 11893] predictions:    6958/  10000 (69.58%), best:    7006/10000 (70.06%), error:      8855.37109, best error:      8800.74902 on epoch:    80, epoch:   84/100, mu: 0.9840474725, learning_rate: 0.0000033992, weight_decay: 0.0000069713

epoch time: 2505.0480957031s, input_fired_time: 33.0909309387, output_fired_time: 14.5840473175, propagate_forward_time: 933.2400512695, propagate_backward_time: 1509.0799560547, weight_update_time: 0.5632956028, other_time: 15.0533447266
epoch time: 193.4389038086s, input_fired_time: 1.6886661053, output_fired_time: 0.0000000000, propagate_forward_time: 189.3025054932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4477386475
validation[          , genome 11893] predictions:    7006/  10000 (70.06%), best:    7006/10000 (70.06%), error:      8831.67188, best error:      8800.74902 on epoch:    80, epoch:   85/100, mu: 0.9843509197, learning_rate: 0.0000031648, weight_decay: 0.0000066199

epoch time: 2500.3962402344s, input_fired_time: 35.0629081726, output_fired_time: 11.6744108200, propagate_forward_time: 919.5811157227, propagate_backward_time: 1515.0090332031, weight_update_time: 0.5564585924, other_time: 19.0688476562
epoch time: 190.2153625488s, input_fired_time: 1.6765726805, output_fired_time: 0.0000000000, propagate_forward_time: 186.0995635986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4392242432
validation[          , genome 11893] predictions:    7010/  10000 (70.10%), best:    7010/10000 (70.10%), error:      8798.50684, best error:      8798.50684 on epoch:    86, epoch:   86/100, mu: 0.9846389294, learning_rate: 0.0000029466, weight_decay: 0.0000062861

epoch time: 2514.2092285156s, input_fired_time: 37.1335182190, output_fired_time: 11.6487455368, propagate_forward_time: 924.9154663086, propagate_backward_time: 1524.4796142578, weight_update_time: 1.5533314943, other_time: 16.0318603516
epoch time: 197.6764984131s, input_fired_time: 1.7462319136, output_fired_time: 0.0000000000, propagate_forward_time: 193.4546966553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4755706787
validation[          , genome 11893] predictions:    6990/  10000 (69.90%), best:    7010/10000 (70.10%), error:      8821.16309, best error:      8798.50684 on epoch:    86, epoch:   87/100, mu: 0.9849122763, learning_rate: 0.0000027434, weight_decay: 0.0000059692

epoch time: 2520.2460937500s, input_fired_time: 36.4838180542, output_fired_time: 13.7309541702, propagate_forward_time: 937.4329833984, propagate_backward_time: 1518.5877685547, weight_update_time: 0.5524063110, other_time: 14.0104980469
epoch time: 190.7344207764s, input_fired_time: 1.7045631409, output_fired_time: 0.0000000000, propagate_forward_time: 186.5817413330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4481201172
validation[          , genome 11893] predictions:    6986/  10000 (69.86%), best:    7010/10000 (70.10%), error:      8828.25000, best error:      8798.50684 on epoch:    86, epoch:   88/100, mu: 0.9851716757, learning_rate: 0.0000025542, weight_decay: 0.0000056683

epoch time: 2505.9604492188s, input_fired_time: 34.5421867371, output_fired_time: 13.7409725189, propagate_forward_time: 935.7101440430, propagate_backward_time: 1506.0321044922, weight_update_time: 0.5595007539, other_time: 15.9349365234
epoch time: 197.7788696289s, input_fired_time: 1.7417126894, output_fired_time: 0.0000000000, propagate_forward_time: 193.5166320801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5205230713
validation[          , genome 11893] predictions:    7007/  10000 (70.07%), best:    7010/10000 (70.10%), error:      8817.90625, best error:      8798.50684 on epoch:    86, epoch:   89/100, mu: 0.9854178429, learning_rate: 0.0000023781, weight_decay: 0.0000053826

epoch time: 2530.5231933594s, input_fired_time: 34.4271659851, output_fired_time: 12.8719453812, propagate_forward_time: 941.1492919922, propagate_backward_time: 1528.0306396484, weight_update_time: 0.5463877320, other_time: 14.0441894531
epoch time: 194.4533081055s, input_fired_time: 1.7074587345, output_fired_time: 0.0000000000, propagate_forward_time: 190.3411712646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4046783447
validation[          , genome 11893] predictions:    7021/  10000 (70.21%), best:    7021/10000 (70.21%), error:      8794.63184, best error:      8794.63184 on epoch:    90, epoch:   90/100, mu: 0.9856514335, learning_rate: 0.0000022141, weight_decay: 0.0000051112

epoch time: 2513.7207031250s, input_fired_time: 34.5139808655, output_fired_time: 11.7748050690, propagate_forward_time: 937.8491821289, propagate_backward_time: 1515.4785156250, weight_update_time: 0.5671407580, other_time: 14.1042480469
epoch time: 192.8455810547s, input_fired_time: 1.6730244160, output_fired_time: 0.0000000000, propagate_forward_time: 188.7738800049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3986816406
validation[          , genome 11893] predictions:    7022/  10000 (70.22%), best:    7022/10000 (70.22%), error:      8779.62402, best error:      8779.62402 on epoch:    91, epoch:   91/100, mu: 0.9858731627, learning_rate: 0.0000020614, weight_decay: 0.0000048535

epoch time: 2507.5632324219s, input_fired_time: 35.2186050415, output_fired_time: 12.7076663971, propagate_forward_time: 922.4580688477, propagate_backward_time: 1522.3735351562, weight_update_time: 0.5499141216, other_time: 14.8054199219
epoch time: 193.8783874512s, input_fired_time: 1.6930444241, output_fired_time: 0.0000000000, propagate_forward_time: 188.7311096191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4542388916
validation[          , genome 11893] predictions:    7005/  10000 (70.05%), best:    7005/10000 (70.05%), error:      8774.47559, best error:      8774.47559 on epoch:    92, epoch:   92/100, mu: 0.9860835671, learning_rate: 0.0000019193, weight_decay: 0.0000046089

epoch time: 2504.0712890625s, input_fired_time: 38.2592926025, output_fired_time: 13.7075862885, propagate_forward_time: 926.2326660156, propagate_backward_time: 1509.8513183594, weight_update_time: 0.5512614846, other_time: 16.0205078125
epoch time: 185.8149261475s, input_fired_time: 1.6740186214, output_fired_time: 0.0000000000, propagate_forward_time: 181.8226928711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3182220459
validation[          , genome 11893] predictions:    6994/  10000 (69.94%), best:    7005/10000 (70.05%), error:      8778.96875, best error:      8774.47559 on epoch:    92, epoch:   93/100, mu: 0.9862832427, learning_rate: 0.0000017869, weight_decay: 0.0000043765

epoch time: 2527.4038085938s, input_fired_time: 35.4263648987, output_fired_time: 11.7467050552, propagate_forward_time: 932.7283935547, propagate_backward_time: 1530.4565429688, weight_update_time: 1.5560998917, other_time: 17.0457763672
epoch time: 194.7642211914s, input_fired_time: 1.7162204981, output_fired_time: 0.0000000000, propagate_forward_time: 190.6171875000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4308166504
validation[          , genome 11893] predictions:    7010/  10000 (70.10%), best:    7005/10000 (70.05%), error:      8787.48730, best error:      8774.47559 on epoch:    92, epoch:   94/100, mu: 0.9864727259, learning_rate: 0.0000016637, weight_decay: 0.0000041559

epoch time: 2514.0207519531s, input_fired_time: 33.2990264893, output_fired_time: 13.7269659042, propagate_forward_time: 934.1038208008, propagate_backward_time: 1518.9284667969, weight_update_time: 0.5464398265, other_time: 13.9624023438
epoch time: 195.9009857178s, input_fired_time: 1.6795238256, output_fired_time: 0.0000000000, propagate_forward_time: 191.8138122559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4076538086
validation[          , genome 11893] predictions:    7007/  10000 (70.07%), best:    7007/10000 (70.07%), error:      8773.14258, best error:      8773.14258 on epoch:    95, epoch:   95/100, mu: 0.9866525531, learning_rate: 0.0000015490, weight_decay: 0.0000039464

epoch time: 2511.1069335938s, input_fired_time: 38.3032112122, output_fired_time: 11.7035360336, propagate_forward_time: 932.6339721680, propagate_backward_time: 1512.3505859375, weight_update_time: 0.5639943480, other_time: 16.1154785156
epoch time: 194.1201477051s, input_fired_time: 1.6925669909, output_fired_time: 0.0000000000, propagate_forward_time: 190.0186920166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4088897705
validation[          , genome 11893] predictions:    7030/  10000 (70.30%), best:    7030/10000 (70.30%), error:      8756.69238, best error:      8756.69238 on epoch:    96, epoch:   96/100, mu: 0.9868232012, learning_rate: 0.0000014421, weight_decay: 0.0000037474

epoch time: 2511.8559570312s, input_fired_time: 33.5658340454, output_fired_time: 12.6494197845, propagate_forward_time: 932.5134887695, propagate_backward_time: 1519.1821289062, weight_update_time: 0.5644304752, other_time: 13.9450683594
epoch time: 188.2127685547s, input_fired_time: 2.6632978916, output_fired_time: 0.0000000000, propagate_forward_time: 183.1526184082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3968505859
validation[          , genome 11893] predictions:    7021/  10000 (70.21%), best:    7030/10000 (70.30%), error:      8787.95215, best error:      8756.69238 on epoch:    96, epoch:   97/100, mu: 0.9869851470, learning_rate: 0.0000013427, weight_decay: 0.0000035585

epoch time: 2508.5356445312s, input_fired_time: 37.2023239136, output_fired_time: 11.6885404587, propagate_forward_time: 929.9310302734, propagate_backward_time: 1514.6048583984, weight_update_time: 0.5680540204, other_time: 15.1088867188
epoch time: 189.7055816650s, input_fired_time: 1.6971646547, output_fired_time: 0.0000000000, propagate_forward_time: 185.6522827148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3561401367
validation[          , genome 11893] predictions:    7020/  10000 (70.20%), best:    7030/10000 (70.30%), error:      8771.15137, best error:      8756.69238 on epoch:    96, epoch:   98/100, mu: 0.9871388674, learning_rate: 0.0000012501, weight_decay: 0.0000033791

epoch time: 2509.9492187500s, input_fired_time: 32.3783531189, output_fired_time: 12.6989517212, propagate_forward_time: 931.5736083984, propagate_backward_time: 1519.3537597656, weight_update_time: 0.5576618314, other_time: 13.9444580078
epoch time: 189.8579864502s, input_fired_time: 1.7042664289, output_fired_time: 0.0000000000, propagate_forward_time: 185.7758789062, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3778381348
validation[          , genome 11893] predictions:    7036/  10000 (70.36%), best:    7030/10000 (70.30%), error:      8758.94531, best error:      8756.69238 on epoch:    96, epoch:   99/100, mu: 0.9872847199, learning_rate: 0.0000011639, weight_decay: 0.0000032088

epoch time: 2499.6726074219s, input_fired_time: 32.0435943604, output_fired_time: 12.7373161316, propagate_forward_time: 922.4628295898, propagate_backward_time: 1517.3527832031, weight_update_time: 0.5692524910, other_time: 15.0759277344
epoch time: 194.5275878906s, input_fired_time: 1.6925407648, output_fired_time: 0.0000000000, propagate_forward_time: 190.4308319092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4042205811
validation[          , genome 11893] predictions:    7024/  10000 (70.24%), best:    7030/10000 (70.30%), error:      8757.87793, best error:      8756.69238 on epoch:    96, epoch:  100/100, mu: 0.9874231219, learning_rate: 0.0000010836, weight_decay: 0.0000030470

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 955.5479736328s, input_fired_time: 8.4850816727, output_fired_time: 0.0000000000, propagate_forward_time: 934.1243286133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.9385375977
best training[          , genome 11893] predictions:   38802/  50000 (77.60%), best:    7030/10000 (70.30%), error:     35373.30469, best error:      8756.69238 on epoch:    96, epoch:  101/100, mu: 0.9875544906, learning_rate: 0.0000010089, weight_decay: 0.0000028934
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 192.2430877686s, input_fired_time: 1.6807047129, output_fired_time: 0.0000000000, propagate_forward_time: 187.1617736816, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4006042480
   testing[          , genome 11893] predictions:    7030/  10000 (70.30%), best:    7030/10000 (70.30%), error:      8756.69238, best error:      8756.69238 on epoch:    96, epoch:  101/100, mu: 0.9875544906, learning_rate: 0.0000010089, weight_decay: 0.0000028934
backpropagation finished successfully!
13:32:33 (17488): called boinc_finish(0)

</stderr_txt>
]]>