Nameexact_genome_1542383404_167_6072_0
Workunit4093173
Created16 Nov 2018, 16:54:31 UTC
Sent16 Nov 2018, 17:20:56 UTC
Report deadline17 Dec 2018, 14:18:54 UTC
Received2 Dec 2018, 1:24:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID85280
Run time10 hours 10 min 24 sec
CPU time10 hours 8 min 14 sec
Validate stateValid
Credit7,718.40
Device peak FLOPS4.14 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size526.09 MB
Peak swap size545.88 MB
Peak disk usage13.08 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6072
read normal distribution: '1 0 0'
generator_str: '1416839314'
read generator: 1416839314
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1519672462
post shuffle 1: 1989372851
epoch time: 1541.81799316406s, input_fired_time: 11.0935859680176, output_fired_time: 9.69279766082764, propagate_forward_time: 623.356140136719, propagate_backward_time: 886.906616210938, weight_update_time: 1.38045120239258, other_time: 10.7688598632813
epoch time: 123.50415802002s, input_fired_time: 0.976171791553497, output_fired_time: 0, propagate_forward_time: 120.732383728027, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.79560089111328
validation[          , genome  6072] predictions:    4794/  10000 (47.94%), best:    4794/10000 (47.94%), error:     19704.58008, best error:     19704.58008 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1538.4936523438s, input_fired_time: 8.0293025970, output_fired_time: 8.6293001175, propagate_forward_time: 610.4941406250, propagate_backward_time: 899.6460571289, weight_update_time: 1.3620730639, other_time: 11.6948852539
epoch time: 124.2684631348s, input_fired_time: 0.9668998122, output_fired_time: 0.0000000000, propagate_forward_time: 121.4491882324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8523788452
validation[          , genome  6072] predictions:    5171/  10000 (51.71%), best:    5171/10000 (51.71%), error:     16307.32910, best error:     16307.32910 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1525.1627197266s, input_fired_time: 9.9942169189, output_fired_time: 7.6348962784, propagate_forward_time: 602.2359619141, propagate_backward_time: 893.4929199219, weight_update_time: 1.3523036242, other_time: 11.8046875000
epoch time: 125.6210632324s, input_fired_time: 1.9874274731, output_fired_time: 0.0000000000, propagate_forward_time: 121.8442993164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7893371582
validation[          , genome  6072] predictions:    5178/  10000 (51.78%), best:    5178/10000 (51.78%), error:     15732.38965, best error:     15732.38965 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1510.6092529297s, input_fired_time: 8.9498729706, output_fired_time: 8.5396986008, propagate_forward_time: 596.8826293945, propagate_backward_time: 883.5039672852, weight_update_time: 1.3367313147, other_time: 12.7331542969
epoch time: 122.9991149902s, input_fired_time: 0.9450508952, output_fired_time: 0.0000000000, propagate_forward_time: 120.2562026978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7978591919
validation[          , genome  6072] predictions:    4914/  10000 (49.14%), best:    5178/10000 (51.78%), error:     16534.64453, best error:     15732.38965 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1514.9063720703s, input_fired_time: 7.9404897690, output_fired_time: 10.6863212585, propagate_forward_time: 593.6436157227, propagate_backward_time: 888.7417602539, weight_update_time: 2.3484630585, other_time: 13.8942871094
epoch time: 122.5836029053s, input_fired_time: 0.9396553040, output_fired_time: 0.0000000000, propagate_forward_time: 119.8983612061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7455902100
validation[          , genome  6072] predictions:    4932/  10000 (49.32%), best:    4932/10000 (49.32%), error:     15556.73730, best error:     15556.73730 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1455.1601562500s, input_fired_time: 9.6478872299, output_fired_time: 7.2962751389, propagate_forward_time: 564.7446289063, propagate_backward_time: 861.9473876953, weight_update_time: 1.3051437140, other_time: 11.5240478516
epoch time: 115.1495361328s, input_fired_time: 0.9217900634, output_fired_time: 0.0000000000, propagate_forward_time: 112.5431747437, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6845703125
validation[          , genome  6072] predictions:    5084/  10000 (50.84%), best:    4932/10000 (49.32%), error:     15799.62012, best error:     15556.73730 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1434.3388671875s, input_fired_time: 8.6699142456, output_fired_time: 7.1805052757, propagate_forward_time: 586.2766113281, propagate_backward_time: 820.9598388672, weight_update_time: 1.2992960215, other_time: 11.2519531250
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.629805
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00918865
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000367546
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 6
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 4
read number_validation_images: 10000
read best_validation_predictions: 4932
read best_validation_error: 15556.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6072
read normal distribution: '1 0 0'
generator_str: '675691145'
read generator: 675691145
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1418.37817382813s, input_fired_time: 8.61431789398193, output_fired_time: 8.08731937408447, propagate_forward_time: 556.992309570313, propagate_backward_time: 833.43798828125, weight_update_time: 1.27168142795563, other_time: 11.246337890625
epoch time: 113.811531066895s, input_fired_time: 0.902478814125061, output_fired_time: 0, propagate_forward_time: 111.195442199707, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.71360778808594
validation[          , genome  6072] predictions:    5083/  10000 (50.83%), best:    4932/10000 (49.32%), error:     15804.39746, best error:     15556.73730 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1423.0263671875s, input_fired_time: 8.6455764771, output_fired_time: 7.1410665512, propagate_forward_time: 569.4559326172, propagate_backward_time: 826.4923095703, weight_update_time: 1.2731980085, other_time: 11.2913818359
epoch time: 115.9285430908s, input_fired_time: 1.9151072502, output_fired_time: 0.0000000000, propagate_forward_time: 112.3112487793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7021865845
validation[          , genome  6072] predictions:    5029/  10000 (50.29%), best:    5029/10000 (50.29%), error:     15520.59082, best error:     15520.59082 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1427.1097412109s, input_fired_time: 7.6620044708, output_fired_time: 8.1587219238, propagate_forward_time: 575.9075927734, propagate_backward_time: 824.0751342773, weight_update_time: 1.2814619541, other_time: 11.3063354492
epoch time: 118.5097503662s, input_fired_time: 0.9531113505, output_fired_time: 0.0000000000, propagate_forward_time: 115.7814941406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7751464844
validation[          , genome  6072] predictions:    5346/  10000 (53.46%), best:    5346/10000 (53.46%), error:     14783.60059, best error:     14783.60059 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1421.7604980469s, input_fired_time: 7.6043095589, output_fired_time: 7.0874357224, propagate_forward_time: 553.3964233398, propagate_backward_time: 842.4262695313, weight_update_time: 1.2766025066, other_time: 11.2460327148
epoch time: 116.7969131470s, input_fired_time: 0.9148918986, output_fired_time: 0.0000000000, propagate_forward_time: 113.1643218994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7176971436
validation[          , genome  6072] predictions:    5084/  10000 (50.84%), best:    5346/10000 (53.46%), error:     15597.06738, best error:     14783.60059 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1423.1020507813s, input_fired_time: 7.6284337044, output_fired_time: 8.1593055725, propagate_forward_time: 555.3254394531, propagate_backward_time: 838.5615234375, weight_update_time: 3.3026618958, other_time: 13.4273681641
epoch time: 116.6216735840s, input_fired_time: 0.9265405536, output_fired_time: 0.0000000000, propagate_forward_time: 114.0244064331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6707229614
validation[          , genome  6072] predictions:    5458/  10000 (54.58%), best:    5458/10000 (54.58%), error:     13720.00879, best error:     13720.00879 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.711288
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00711
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0002844
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 11
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 10
read number_validation_images: 10000
read best_validation_predictions: 5458
read best_validation_error: 13720
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: 6072
read normal distribution: '1 0 0'
generator_str: '2078147533'
read generator: 2078147533
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1514.97045898438s, input_fired_time: 8.90974807739258, output_fired_time: 8.43319129943848, propagate_forward_time: 606.162353515625, propagate_backward_time: 880.703979492188, weight_update_time: 1.3227413892746, other_time: 10.7611083984375
epoch time: 119.597465515137s, input_fired_time: 0.96497106552124, output_fired_time: 0, propagate_forward_time: 116.80298614502, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.82950592041016
validation[          , genome  6072] predictions:    5525/  10000 (55.25%), best:    5525/10000 (55.25%), error:     13651.20898, best error:     13651.20898 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.725224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0067545
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00027018
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 12
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5525
read best_validation_error: 13651.2
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: 6072
read normal distribution: '1 0 0'
generator_str: '145416157'
read generator: 145416157
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.725224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0067545
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00027018
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 12
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5525
read best_validation_error: 13651.2
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: 6072
read normal distribution: '1 0 0'
generator_str: '145416157'
read generator: 145416157
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1447.88720703125s, input_fired_time: 8.75651264190674, output_fired_time: 9.22621536254883, propagate_forward_time: 561.322326660156, propagate_backward_time: 857.196899414063, weight_update_time: 1.30560481548309, other_time: 11.3853149414063
epoch time: 115.836616516113s, input_fired_time: 0.944046378135681, output_fired_time: 0, propagate_forward_time: 112.097915649414, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.79465484619141
validation[          , genome  6072] predictions:    5520/  10000 (55.20%), best:    5525/10000 (55.25%), error:     14126.68652, best error:     13651.20898 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.738463
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00641677
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000256671
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 13
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5525
read best_validation_error: 13651.2
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: 6072
read normal distribution: '1 0 0'
generator_str: '1920486401'
read generator: 1920486401
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1431.32043457031s, input_fired_time: 7.68092823028564, output_fired_time: 7.14105749130249, propagate_forward_time: 541.928588867188, propagate_backward_time: 863.206420898438, weight_update_time: 1.29552817344666, other_time: 11.3634033203125
epoch time: 117.547813415527s, input_fired_time: 0.931618690490723, output_fired_time: 0, propagate_forward_time: 114.932403564453, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.68379211425781
validation[          , genome  6072] predictions:    5509/  10000 (55.09%), best:    5525/10000 (55.25%), error:     13655.98535, best error:     13651.20898 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1465.7413330078s, input_fired_time: 8.8438243866, output_fired_time: 7.3432493210, propagate_forward_time: 585.3211059570, propagate_backward_time: 853.7419433594, weight_update_time: 1.3155256510, other_time: 10.4911499023
epoch time: 117.1563949585s, input_fired_time: 0.9168289304, output_fired_time: 0.0000000000, propagate_forward_time: 114.4877395630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7518234253
validation[          , genome  6072] predictions:    5272/  10000 (52.72%), best:    5525/10000 (55.25%), error:     14829.89258, best error:     13651.20898 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1453.1389160156s, input_fired_time: 7.7874484062, output_fired_time: 7.2649502754, propagate_forward_time: 561.6613159180, propagate_backward_time: 864.9305419922, weight_update_time: 1.3071693182, other_time: 11.4946899414
epoch time: 116.1807098389s, input_fired_time: 0.9284134507, output_fired_time: 0.0000000000, propagate_forward_time: 113.5516433716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7006530762
validation[          , genome  6072] predictions:    5416/  10000 (54.16%), best:    5525/10000 (55.25%), error:     14764.34570, best error:     13651.20898 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1427.9561767578s, input_fired_time: 9.6904163361, output_fired_time: 7.1434431076, propagate_forward_time: 553.2133178711, propagate_backward_time: 845.6001586914, weight_update_time: 2.2953944206, other_time: 12.3088378906
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.774338
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00550158
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000220063
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 16
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5525
read best_validation_error: 13651.2
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: 6072
read normal distribution: '1 0 0'
generator_str: '1370099800'
read generator: 1370099800
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1428.46704101563s, input_fired_time: 8.68189334869385, output_fired_time: 7.15346956253052, propagate_forward_time: 557.096313476563, propagate_backward_time: 844.384033203125, weight_update_time: 1.29544508457184, other_time: 11.1513671875
epoch time: 116.140869140625s, input_fired_time: 0.908220827579498, output_fired_time: 0, propagate_forward_time: 113.52018737793, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.71246337890625
validation[          , genome  6072] predictions:    5337/  10000 (53.37%), best:    5525/10000 (55.25%), error:     14933.14746, best error:     13651.20898 on epoch:    11, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_167_6072_0_r197147683_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.785121
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0052265
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00020906
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 17
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5525
read best_validation_error: 13651.2
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: 6072
read normal distribution: '1 0 0'
generator_str: '1221514214'
read generator: 1221514214
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 455 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: 1419.03161621094s, input_fired_time: 7.68826532363892, output_fired_time: 9.08563613891602, propagate_forward_time: 546.656188964844, propagate_backward_time: 843.277404785156, weight_update_time: 1.27794814109802, other_time: 12.3240966796875
epoch time: 115.907615661621s, input_fired_time: 0.946541786193848, output_fired_time: 0, propagate_forward_time: 113.213478088379, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.74759674072266
validation[          , genome  6072] predictions:    5370/  10000 (53.70%), best:    5525/10000 (55.25%), error:     14961.84961, best error:     13651.20898 on epoch:    11, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1410.3308105469s, input_fired_time: 8.6475343704, output_fired_time: 8.0846805573, propagate_forward_time: 571.8101806641, propagate_backward_time: 809.4608764648, weight_update_time: 1.2968938351, other_time: 12.3274536133
epoch time: 113.3221359253s, input_fired_time: 0.8980535269, output_fired_time: 0.0000000000, propagate_forward_time: 110.7408905029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6831893921
validation[          , genome  6072] predictions:    5259/  10000 (52.59%), best:    5525/10000 (55.25%), error:     14944.41113, best error:     13651.20898 on epoch:    11, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1407.6813964844s, input_fired_time: 9.6717033386, output_fired_time: 7.0728430748, propagate_forward_time: 548.1469116211, propagate_backward_time: 832.5721435547, weight_update_time: 1.2734874487, other_time: 10.2177124023
epoch time: 115.3073959351s, input_fired_time: 0.9417175651, output_fired_time: 0.0000000000, propagate_forward_time: 112.6378707886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7278060913
validation[          , genome  6072] predictions:    5610/  10000 (56.10%), best:    5610/10000 (56.10%), error:     13578.59863, best error:     13578.59863 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1395.1530761719s, input_fired_time: 7.5401811600, output_fired_time: 6.9157967567, propagate_forward_time: 546.8666992188, propagate_backward_time: 821.8471069336, weight_update_time: 1.2704497576, other_time: 11.9833374023
epoch time: 109.1725921631s, input_fired_time: 0.8852906227, output_fired_time: 0.0000000000, propagate_forward_time: 105.6855850220, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6017150879
validation[          , genome  6072] predictions:    5437/  10000 (54.37%), best:    5610/10000 (56.10%), error:     14076.54395, best error:     13578.59863 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1337.2316894531s, input_fired_time: 7.3735852242, output_fired_time: 7.6582241058, propagate_forward_time: 525.3582153320, propagate_backward_time: 787.1386108398, weight_update_time: 1.2268553972, other_time: 9.7031250000
epoch time: 108.4806594849s, input_fired_time: 0.8996079564, output_fired_time: 0.0000000000, propagate_forward_time: 106.0253906250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5556640625
validation[          , genome  6072] predictions:    5653/  10000 (56.53%), best:    5610/10000 (56.10%), error:     13667.65820, best error:     13578.59863 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1339.7220458984s, input_fired_time: 7.4062681198, output_fired_time: 6.6945128441, propagate_forward_time: 527.3076782227, propagate_backward_time: 786.6140136719, weight_update_time: 1.2376067638, other_time: 11.6996459961
epoch time: 104.0859909058s, input_fired_time: 0.8750858307, output_fired_time: 0.0000000000, propagate_forward_time: 101.6577148438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5531921387
validation[          , genome  6072] predictions:    5754/  10000 (57.54%), best:    5754/10000 (57.54%), error:     12941.22949, best error:     12941.22949 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1282.6530761719s, input_fired_time: 8.1961240768, output_fired_time: 7.3261160851, propagate_forward_time: 500.6355895996, propagate_backward_time: 757.3104858398, weight_update_time: 1.1891046762, other_time: 9.1846313477
epoch time: 106.1683807373s, input_fired_time: 1.8970296383, output_fired_time: 0.0000000000, propagate_forward_time: 102.6721115112, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5992431641
validation[          , genome  6072] predictions:    5529/  10000 (55.29%), best:    5754/10000 (57.54%), error:     13781.50488, best error:     12941.22949 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1293.0214843750s, input_fired_time: 7.2153983116, output_fired_time: 6.4397544861, propagate_forward_time: 513.0535278320, propagate_backward_time: 754.8682250977, weight_update_time: 1.2037338018, other_time: 11.4445800781
epoch time: 102.9291915894s, input_fired_time: 0.8329299092, output_fired_time: 0.0000000000, propagate_forward_time: 100.5476913452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5485687256
validation[          , genome  6072] predictions:    5572/  10000 (55.72%), best:    5754/10000 (57.54%), error:     13740.70996, best error:     12941.22949 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1289.8286132813s, input_fired_time: 7.2212386131, output_fired_time: 6.4294447899, propagate_forward_time: 504.1970520020, propagate_backward_time: 761.5501098633, weight_update_time: 1.2050832510, other_time: 10.4308471680
epoch time: 99.7560501099s, input_fired_time: 0.8458318710, output_fired_time: 0.0000000000, propagate_forward_time: 97.3943557739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5158615112
validation[          , genome  6072] predictions:    5734/  10000 (57.34%), best:    5734/10000 (57.34%), error:     12928.04980, best error:     12928.04980 on epoch:    25, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 433.6662902832s, input_fired_time: 3.8572294712, output_fired_time: 0.0000000000, propagate_forward_time: 422.8958740234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9131774902
best training[          , genome  6072] predictions:   32891/  50000 (65.78%), best:    5734/10000 (57.34%), error:     49925.75000, best error:     12928.04980 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 88.3907241821s, input_fired_time: 0.7876201868, output_fired_time: 0.0000000000, propagate_forward_time: 86.2158050537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3872985840
   testing[          , genome  6072] predictions:    5734/  10000 (57.34%), best:    5734/10000 (57.34%), error:     12928.04980, best error:     12928.04980 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
18:24:16 (8032): called boinc_finish(0)

</stderr_txt>
]]>