Nameexact_genome_1542495604_167_6212_2
Workunit4096521
Created24 Nov 2018, 10:15:36 UTC
Sent24 Nov 2018, 10:15:46 UTC
Report deadline18 Dec 2018, 0:01:07 UTC
Received26 Nov 2018, 5:29:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID78968
Run time13 hours 43 min 44 sec
CPU time13 hours 28 min 37 sec
Validate stateValid
Credit5,893.29
Device peak FLOPS2.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.14 MB
Peak swap size536.87 MB
Peak disk usage10.36 MB

Stderr output

<core_client_version>7.8.3</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_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212.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: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '626766928'
read generator: 626766928
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 664470361
post shuffle 1: 930846420
epoch time: 1778.86840820313s, input_fired_time: 10.7483797073364, output_fired_time: 9.13127422332764, propagate_forward_time: 661.171142578125, propagate_backward_time: 1078.88122558594, weight_update_time: 1.83840084075928, other_time: 18.9364013671875
epoch time: 133.593017578125s, input_fired_time: 1.31623923778534, output_fired_time: 0, propagate_forward_time: 129.024047851563, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.25273132324219
validation[          , genome  6212] predictions:    5011/  10000 (50.11%), best:    5011/10000 (50.11%), error:     16854.73242, best error:     16854.73242 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1795.0035400391s, input_fired_time: 11.0080795288, output_fired_time: 9.3412132263, propagate_forward_time: 669.9383544922, propagate_backward_time: 1085.6724853516, weight_update_time: 1.9019116163, other_time: 19.0434570313
epoch time: 147.8670959473s, input_fired_time: 1.3886779547, output_fired_time: 0.0000000000, propagate_forward_time: 142.9669647217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5114593506
validation[          , genome  6212] predictions:    5121/  10000 (51.21%), best:    5121/10000 (51.21%), error:     15545.88477, best error:     15545.88477 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 2
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 5121
read best_validation_error: 15545.9
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: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '13990633'
read generator: 13990633
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 1665.328125s, input_fired_time: 10.3551168441772, output_fired_time: 8.59225368499756, propagate_forward_time: 614.781372070313, propagate_backward_time: 1013.50537109375, weight_update_time: 1.73997974395752, other_time: 18.093994140625
epoch time: 126.154998779297s, input_fired_time: 1.19797945022583, output_fired_time: 0, propagate_forward_time: 122.01197052002, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.94504547119141
validation[          , genome  6212] predictions:    5223/  10000 (52.23%), best:    5223/10000 (52.23%), error:     15196.65430, best error:     15196.65430 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1670.8029785156s, input_fired_time: 10.3472785950, output_fired_time: 8.4223098755, propagate_forward_time: 619.2311401367, propagate_backward_time: 1015.2331542969, weight_update_time: 1.7854694128, other_time: 17.5690917969
epoch time: 144.1617584229s, input_fired_time: 1.3978512287, output_fired_time: 0.0000000000, propagate_forward_time: 139.3713531494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3925476074
validation[          , genome  6212] predictions:    5098/  10000 (50.98%), best:    5223/10000 (52.23%), error:     15508.85059, best error:     15196.65430 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

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_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_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: 0.590892
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0101813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000407253
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: 4
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 2
read number_validation_images: 10000
read best_validation_predictions: 5223
read best_validation_error: 15196.7
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: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '706830911'
read generator: 706830911
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 1655.21557617188s, input_fired_time: 10.2632865905762, output_fired_time: 8.65516757965088, propagate_forward_time: 611.913513183594, propagate_backward_time: 1006.58074951172, weight_update_time: 1.74847805500031, other_time: 17.8027954101563
epoch time: 127.185989379883s, input_fired_time: 1.23269665241241, output_fired_time: 0, propagate_forward_time: 122.886756896973, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.06653594970703
validation[          , genome  6212] predictions:    4995/  10000 (49.95%), best:    5223/10000 (52.23%), error:     15882.44824, best error:     15196.65430 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1738.9298095703s, input_fired_time: 10.5764646530, output_fired_time: 8.9235792160, propagate_forward_time: 641.9533081055, propagate_backward_time: 1058.9370117188, weight_update_time: 1.8383885622, other_time: 18.5395507813
epoch time: 130.6600036621s, input_fired_time: 1.2516065836, output_fired_time: 0.0000000000, propagate_forward_time: 126.2930908203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1153106689
validation[          , genome  6212] predictions:    4786/  10000 (47.86%), best:    5223/10000 (52.23%), error:     16768.92383, best error:     15196.65430 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1785.4346923828s, input_fired_time: 12.7544994354, output_fired_time: 11.0331811905, propagate_forward_time: 663.2932128906, propagate_backward_time: 1074.4500732422, weight_update_time: 2.0942361355, other_time: 23.9036865234
epoch time: 127.7380371094s, input_fired_time: 1.1986875534, output_fired_time: 0.0000000000, propagate_forward_time: 123.6823806763, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8569717407
validation[          , genome  6212] predictions:    5144/  10000 (51.44%), best:    5144/10000 (51.44%), error:     15162.46484, best error:     15162.46484 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1698.1839599609s, input_fired_time: 10.2511692047, output_fired_time: 8.6033878326, propagate_forward_time: 628.9908447266, propagate_backward_time: 1032.5319824219, weight_update_time: 1.7751848698, other_time: 17.8065185547
epoch time: 137.7675170898s, input_fired_time: 1.2494719028, output_fired_time: 0.0000000000, propagate_forward_time: 133.3651428223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1529083252
validation[          , genome  6212] predictions:    5072/  10000 (50.72%), best:    5144/10000 (51.44%), error:     15691.85547, best error:     15162.46484 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1762.4824218750s, input_fired_time: 10.8850975037, output_fired_time: 9.2667589188, propagate_forward_time: 649.2197875977, propagate_backward_time: 1074.0240478516, weight_update_time: 1.9118883610, other_time: 19.0867919922
epoch time: 131.9210357666s, input_fired_time: 1.3291358948, output_fired_time: 0.0000000000, propagate_forward_time: 127.2756500244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3162536621
validation[          , genome  6212] predictions:    5343/  10000 (53.43%), best:    5343/10000 (53.43%), error:     14442.10645, best error:     14442.10645 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1806.5488281250s, input_fired_time: 11.3579473495, output_fired_time: 9.5675210953, propagate_forward_time: 668.8856811523, propagate_backward_time: 1096.3608398438, weight_update_time: 1.9288281202, other_time: 20.3769531250
epoch time: 130.2440338135s, input_fired_time: 1.2293021679, output_fired_time: 0.0000000000, propagate_forward_time: 126.0443420410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9703826904
validation[          , genome  6212] predictions:    5083/  10000 (50.83%), best:    5343/10000 (53.43%), error:     15496.56836, best error:     14442.10645 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1739.8005371094s, input_fired_time: 10.5202350616, output_fired_time: 8.8184766769, propagate_forward_time: 643.1780395508, propagate_backward_time: 1059.2713623047, weight_update_time: 1.7763075829, other_time: 18.0123291016
epoch time: 131.7786102295s, input_fired_time: 1.2586517334, output_fired_time: 0.0000000000, propagate_forward_time: 127.3682174683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1517410278
validation[          , genome  6212] predictions:    5352/  10000 (53.52%), best:    5352/10000 (53.52%), error:     14433.84863, best error:     14433.84863 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1797.2567138672s, input_fired_time: 11.3629646301, output_fired_time: 9.5882740021, propagate_forward_time: 667.7792968750, propagate_backward_time: 1088.7409667969, weight_update_time: 1.8975204229, other_time: 19.7852783203
epoch time: 140.7119293213s, input_fired_time: 1.3064098358, output_fired_time: 0.0000000000, propagate_forward_time: 136.1621704102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2433471680
validation[          , genome  6212] predictions:    5149/  10000 (51.49%), best:    5352/10000 (53.52%), error:     15073.41309, best error:     14433.84863 on epoch:    10, 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_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_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: 10
read number_validation_images: 10000
read best_validation_predictions: 5352
read best_validation_error: 14433.8
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '1083956347'
read generator: 1083956347
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 1569.19946289063s, input_fired_time: 9.82708740234375, output_fired_time: 8.05081081390381, propagate_forward_time: 580.48779296875, propagate_backward_time: 954.251892089844, weight_update_time: 1.67617511749268, other_time: 16.5818481445313
epoch time: 130.84245300293s, input_fired_time: 1.21699631214142, output_fired_time: 0, propagate_forward_time: 126.664291381836, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.96116638183594
validation[          , genome  6212] predictions:    5280/  10000 (52.80%), best:    5352/10000 (53.52%), error:     14697.75488, best error:     14433.84863 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1626.5074462891s, input_fired_time: 9.9760370255, output_fired_time: 8.1506729126, propagate_forward_time: 598.8597412109, propagate_backward_time: 992.8012695313, weight_update_time: 1.6961934566, other_time: 16.7197265625
epoch time: 121.4737091064s, input_fired_time: 1.1844283342, output_fired_time: 0.0000000000, propagate_forward_time: 117.4193038940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8699798584
validation[          , genome  6212] predictions:    5418/  10000 (54.18%), best:    5418/10000 (54.18%), error:     13807.77539, best error:     13807.77539 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1609.2663574219s, input_fired_time: 10.0871267319, output_fired_time: 8.2388172150, propagate_forward_time: 594.7196044922, propagate_backward_time: 979.2097167969, weight_update_time: 1.7108511925, other_time: 17.0111083984
epoch time: 137.1194000244s, input_fired_time: 1.3172074556, output_fired_time: 0.0000000000, propagate_forward_time: 132.6068420410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1953430176
validation[          , genome  6212] predictions:    5471/  10000 (54.71%), best:    5471/10000 (54.71%), error:     13739.85059, best error:     13739.85059 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

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_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_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: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
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: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5471
read best_validation_error: 13739.9
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: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '1020022806'
read generator: 1020022806
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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_1542495604_167_6212.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_167_6212_2_r1003988555_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: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
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: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5471
read best_validation_error: 13739.9
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: 6212
read normal distribution: '0 -0.495889902114868 1.84168386459351'
generator_str: '1020022806'
read generator: 1020022806
read generated_by_map:
1 add_edge 1
reading 73 nodes.
reading 338 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: 1651.85571289063s, input_fired_time: 10.1696939468384, output_fired_time: 8.37861728668213, propagate_forward_time: 611.289855957031, propagate_backward_time: 999.1533203125, weight_update_time: 1.69472920894623, other_time: 22.8641967773438
epoch time: 122.95238494873s, input_fired_time: 1.17425143718719, output_fired_time: 0, propagate_forward_time: 118.003730773926, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.77440643310547
validation[          , genome  6212] predictions:    5270/  10000 (52.70%), best:    5471/10000 (54.71%), error:     15391.65723, best error:     13739.85059 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1556.8115234375s, input_fired_time: 9.8185033798, output_fired_time: 7.9530630112, propagate_forward_time: 571.1446533203, propagate_backward_time: 951.5505981445, weight_update_time: 1.6323133707, other_time: 16.3447875977
epoch time: 112.3848648071s, input_fired_time: 1.1154532433, output_fired_time: 0.0000000000, propagate_forward_time: 108.3474273682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9219818115
validation[          , genome  6212] predictions:    5346/  10000 (53.46%), best:    5471/10000 (54.71%), error:     14243.17578, best error:     13739.85059 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1584.9100341797s, input_fired_time: 9.9140815735, output_fired_time: 8.0658540726, propagate_forward_time: 584.1318359375, propagate_backward_time: 966.3936767578, weight_update_time: 1.6560269594, other_time: 16.4046630859
epoch time: 131.5655059814s, input_fired_time: 1.2966419458, output_fired_time: 0.0000000000, propagate_forward_time: 127.2185974121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0502624512
validation[          , genome  6212] predictions:    5374/  10000 (53.74%), best:    5471/10000 (54.71%), error:     14402.32715, best error:     13739.85059 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1752.7514648438s, input_fired_time: 10.9594268799, output_fired_time: 9.1241512299, propagate_forward_time: 649.3325195313, propagate_backward_time: 1064.8778076172, weight_update_time: 1.8088344336, other_time: 18.4575195313
epoch time: 141.2889556885s, input_fired_time: 1.4137127399, output_fired_time: 0.0000000000, propagate_forward_time: 136.5410003662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3342437744
validation[          , genome  6212] predictions:    5472/  10000 (54.72%), best:    5471/10000 (54.71%), error:     14098.13672, best error:     13739.85059 on epoch:    14, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1778.2641601563s, input_fired_time: 11.0904493332, output_fired_time: 9.0253076553, propagate_forward_time: 659.3487548828, propagate_backward_time: 1079.6784667969, weight_update_time: 1.8886169195, other_time: 19.1212158203
epoch time: 133.4897155762s, input_fired_time: 1.3018413782, output_fired_time: 0.0000000000, propagate_forward_time: 128.9139862061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2738952637
validation[          , genome  6212] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13200.47754, best error:     13200.47754 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1794.2580566406s, input_fired_time: 10.9422206879, output_fired_time: 9.1763200760, propagate_forward_time: 666.7616577148, propagate_backward_time: 1088.2133789063, weight_update_time: 1.8794484138, other_time: 19.1645507813
epoch time: 139.9337768555s, input_fired_time: 1.3495098352, output_fired_time: 0.0000000000, propagate_forward_time: 135.3447265625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2395477295
validation[          , genome  6212] predictions:    5503/  10000 (55.03%), best:    5623/10000 (56.23%), error:     13477.84961, best error:     13200.47754 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1829.0935058594s, input_fired_time: 11.8223543167, output_fired_time: 9.9041252136, propagate_forward_time: 680.8554687500, propagate_backward_time: 1106.1330566406, weight_update_time: 1.9330867529, other_time: 20.3784179688
epoch time: 147.9962921143s, input_fired_time: 1.4768514633, output_fired_time: 0.0000000000, propagate_forward_time: 142.8383026123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6811370850
validation[          , genome  6212] predictions:    5711/  10000 (57.11%), best:    5623/10000 (56.23%), error:     13212.37305, best error:     13200.47754 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1837.8043212891s, input_fired_time: 11.6579256058, output_fired_time: 9.9631967545, propagate_forward_time: 684.2466430664, propagate_backward_time: 1111.2955322266, weight_update_time: 1.9661113024, other_time: 20.6409912109
epoch time: 140.8368988037s, input_fired_time: 1.4929916859, output_fired_time: 0.0000000000, propagate_forward_time: 135.7843627930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5595397949
validation[          , genome  6212] predictions:    5476/  10000 (54.76%), best:    5623/10000 (56.23%), error:     14054.12695, best error:     13200.47754 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1789.6977539063s, input_fired_time: 12.1110668182, output_fired_time: 10.1983251572, propagate_forward_time: 663.7227783203, propagate_backward_time: 1082.0013427734, weight_update_time: 1.9957621098, other_time: 21.6641845703
epoch time: 140.4064178467s, input_fired_time: 1.3896043301, output_fired_time: 0.0000000000, propagate_forward_time: 135.6246948242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3921203613
validation[          , genome  6212] predictions:    5277/  10000 (52.77%), best:    5623/10000 (56.23%), error:     14757.66504, best error:     13200.47754 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1884.2290039063s, input_fired_time: 12.0051612854, output_fired_time: 10.2226562500, propagate_forward_time: 699.4982910156, propagate_backward_time: 1141.5240478516, weight_update_time: 1.9638530016, other_time: 20.9788818359
epoch time: 141.4588012695s, input_fired_time: 1.4006804228, output_fired_time: 0.0000000000, propagate_forward_time: 136.5395355225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5185852051
validation[          , genome  6212] predictions:    5684/  10000 (56.84%), best:    5623/10000 (56.23%), error:     13423.96191, best error:     13200.47754 on epoch:    19, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1866.6462402344s, input_fired_time: 11.7986936569, output_fired_time: 9.8446455002, propagate_forward_time: 693.9614257813, propagate_backward_time: 1130.8144531250, weight_update_time: 1.9417458773, other_time: 20.2270507813
epoch time: 144.4922332764s, input_fired_time: 1.3536506891, output_fired_time: 0.0000000000, propagate_forward_time: 139.7944641113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3441162109
validation[          , genome  6212] predictions:    5510/  10000 (55.10%), best:    5623/10000 (56.23%), error:     13893.07031, best error:     13200.47754 on epoch:    19, 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: 692.2986450195s, input_fired_time: 6.6247177124, output_fired_time: 0.0000000000, propagate_forward_time: 669.4418334961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.2321166992
best training[          , genome  6212] predictions:   31388/  50000 (62.78%), best:    5623/10000 (56.23%), error:     54811.26563, best error:     13200.47754 on epoch:    19, 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: 150.2798614502s, input_fired_time: 1.4367328882, output_fired_time: 0.0000000000, propagate_forward_time: 144.4904785156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3526458740
   testing[          , genome  6212] predictions:    5623/  10000 (56.23%), best:    5623/10000 (56.23%), error:     13200.47754, best error:     13200.47754 on epoch:    19, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
21:29:25 (6988): called boinc_finish(0)

</stderr_txt>
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