Nameexact_genome_1542727803_166_6405_1
Workunit4101228
Created20 Nov 2018, 19:19:15 UTC
Sent20 Nov 2018, 19:19:21 UTC
Report deadline20 Dec 2018, 0:54:06 UTC
Received21 Nov 2018, 15:04:59 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time10 hours 51 min 44 sec
CPU time10 hours 49 min 49 sec
Validate stateValid
Credit7,308.12
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size527.42 MB
Peak swap size526.02 MB
Peak disk usage12.78 MB

Stderr output

<core_client_version>7.4.42</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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405.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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '1221655216'
read generator: 1221655216
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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: 268066345
post shuffle 1: 556045027
epoch time: 1535.88610839844s, input_fired_time: 14.170446395874, output_fired_time: 11.5727424621582, propagate_forward_time: 556.079467773438, propagate_backward_time: 938.476806640625, weight_update_time: 1.53303933143616, other_time: 15.586669921875
epoch time: 115.243499755859s, input_fired_time: 1.60554802417755, output_fired_time: 0, propagate_forward_time: 110.883712768555, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.75424194335938
validation[          , genome  6405] predictions:    4798/  10000 (47.98%), best:    4798/10000 (47.98%), error:     20109.72070, best error:     20109.72070 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1517.2125244141s, input_fired_time: 13.9338302612, output_fired_time: 11.4784145355, propagate_forward_time: 551.9183349609, propagate_backward_time: 924.5712280273, weight_update_time: 1.4921419621, other_time: 15.3107299805
epoch time: 114.4194869995s, input_fired_time: 1.5590375662, output_fired_time: 0.0000000000, propagate_forward_time: 110.0900421143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7704086304
validation[          , genome  6405] predictions:    5153/  10000 (51.53%), best:    5153/10000 (51.53%), error:     16225.75488, best error:     16225.75488 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1522.3779296875s, input_fired_time: 13.8554592133, output_fired_time: 11.5140247345, propagate_forward_time: 557.3984985352, propagate_backward_time: 925.0101928711, weight_update_time: 1.4195640087, other_time: 14.5997314453
epoch time: 112.8280868530s, input_fired_time: 1.5259506702, output_fired_time: 0.0000000000, propagate_forward_time: 108.5862197876, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7159194946
validation[          , genome  6405] predictions:    4961/  10000 (49.61%), best:    5153/10000 (51.53%), error:     17843.38281, best error:     16225.75488 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1515.3862304688s, input_fired_time: 13.8655853271, output_fired_time: 11.5397720337, propagate_forward_time: 551.4946289063, propagate_backward_time: 923.0376586914, weight_update_time: 1.5028443336, other_time: 15.4485473633
epoch time: 113.7363510132s, input_fired_time: 1.5391846895, output_fired_time: 0.0000000000, propagate_forward_time: 109.3667678833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8303985596
validation[          , genome  6405] predictions:    5160/  10000 (51.60%), best:    5160/10000 (51.60%), error:     15643.11621, best error:     15643.11621 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1379.0289306641s, input_fired_time: 12.5214834213, output_fired_time: 10.3501291275, propagate_forward_time: 499.3279724121, propagate_backward_time: 842.7250366211, weight_update_time: 1.3617262840, other_time: 14.1043090820
epoch time: 103.2668991089s, input_fired_time: 1.3920292854, output_fired_time: 0.0000000000, propagate_forward_time: 99.3435516357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5313186646
validation[          , genome  6405] predictions:    5180/  10000 (51.80%), best:    5160/10000 (51.60%), error:     16151.02246, best error:     15643.11621 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_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: 0.610847
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00967226
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00038689
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: 5
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 3
read number_validation_images: 10000
read best_validation_predictions: 5160
read best_validation_error: 15643.1
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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '1453875932'
read generator: 1453875932
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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: 1319.216796875s, input_fired_time: 12.0070877075195, output_fired_time: 9.94811058044434, propagate_forward_time: 479.590362548828, propagate_backward_time: 803.958190917969, weight_update_time: 1.3137983083725, other_time: 13.7130737304688
epoch time: 102.233551025391s, input_fired_time: 1.38434875011444, output_fired_time: 0, propagate_forward_time: 98.3521118164063, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.49709320068359
validation[          , genome  6405] predictions:    5086/  10000 (50.86%), best:    5160/10000 (51.60%), error:     16125.06445, best error:     15643.11621 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_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: 3
read number_validation_images: 10000
read best_validation_predictions: 5160
read best_validation_error: 15643.1
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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '601758392'
read generator: 601758392
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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: 1326.65795898438s, input_fired_time: 12.0891532897949, output_fired_time: 10.0759611129761, propagate_forward_time: 482.509124755859, propagate_backward_time: 808.259155273438, weight_update_time: 1.31313538551331, other_time: 13.724609375
epoch time: 101.763816833496s, input_fired_time: 1.36361718177795, output_fired_time: 0, propagate_forward_time: 97.8983764648438, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.50182342529297
validation[          , genome  6405] predictions:    5268/  10000 (52.68%), best:    5268/10000 (52.68%), error:     15386.95996, best error:     15386.95996 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1348.3946533203s, input_fired_time: 12.2980823517, output_fired_time: 10.2297067642, propagate_forward_time: 489.7039489746, propagate_backward_time: 822.2781372070, weight_update_time: 1.3353717327, other_time: 13.8847045898
epoch time: 101.9827880859s, input_fired_time: 1.3686169386, output_fired_time: 0.0000000000, propagate_forward_time: 98.1274795532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4866943359
validation[          , genome  6405] predictions:    5253/  10000 (52.53%), best:    5268/10000 (52.68%), error:     15488.46094, best error:     15386.95996 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1351.9012451172s, input_fired_time: 12.3456707001, output_fired_time: 10.2167577744, propagate_forward_time: 492.1936645508, propagate_backward_time: 823.2978515625, weight_update_time: 1.3305311203, other_time: 13.8472290039
epoch time: 101.9289398193s, input_fired_time: 1.3603852987, output_fired_time: 0.0000000000, propagate_forward_time: 98.0361251831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5324325562
validation[          , genome  6405] predictions:    5282/  10000 (52.82%), best:    5268/10000 (52.68%), error:     15584.03418, best error:     15386.95996 on epoch:     6, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1343.8554687500s, input_fired_time: 12.2620229721, output_fired_time: 10.1588821411, propagate_forward_time: 489.3777465820, propagate_backward_time: 818.1959228516, weight_update_time: 1.3330048323, other_time: 13.8609008789
epoch time: 102.6187286377s, input_fired_time: 1.3860989809, output_fired_time: 0.0000000000, propagate_forward_time: 98.7571334839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4754943848
validation[          , genome  6405] predictions:    5222/  10000 (52.22%), best:    5222/10000 (52.22%), error:     15153.43066, best error:     15153.43066 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1356.3291015625s, input_fired_time: 12.3811855316, output_fired_time: 10.2165327072, propagate_forward_time: 493.7217102051, propagate_backward_time: 826.0394287109, weight_update_time: 1.3449766636, other_time: 13.9702148438
epoch time: 103.1419830322s, input_fired_time: 1.3931088448, output_fired_time: 0.0000000000, propagate_forward_time: 99.2533874512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4954833984
validation[          , genome  6405] predictions:    5394/  10000 (53.94%), best:    5394/10000 (53.94%), error:     14501.80566, best error:     14501.80566 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1353.2614746094s, input_fired_time: 12.3835544586, output_fired_time: 10.1923017502, propagate_forward_time: 492.5484008789, propagate_backward_time: 824.2670898438, weight_update_time: 1.3417977095, other_time: 13.8701782227
epoch time: 102.6493530273s, input_fired_time: 1.3723492622, output_fired_time: 0.0000000000, propagate_forward_time: 98.7744750977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5025253296
validation[          , genome  6405] predictions:    5258/  10000 (52.58%), best:    5394/10000 (53.94%), error:     15465.91016, best error:     14501.80566 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1354.7913818359s, input_fired_time: 12.4007120132, output_fired_time: 10.2757940292, propagate_forward_time: 492.5407409668, propagate_backward_time: 825.6762084961, weight_update_time: 1.3454825878, other_time: 13.8978881836
epoch time: 103.1129684448s, input_fired_time: 1.3730039597, output_fired_time: 0.0000000000, propagate_forward_time: 99.2481918335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4917755127
validation[          , genome  6405] predictions:    5447/  10000 (54.47%), best:    5447/10000 (54.47%), error:     14226.50391, best error:     14226.50391 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1360.3275146484s, input_fired_time: 12.4350833893, output_fired_time: 10.2805204391, propagate_forward_time: 494.6418762207, propagate_backward_time: 828.9368896484, weight_update_time: 1.3570166826, other_time: 14.0332031250
epoch time: 102.8307876587s, input_fired_time: 1.3847583532, output_fired_time: 0.0000000000, propagate_forward_time: 98.9403686523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5056610107
validation[          , genome  6405] predictions:    5563/  10000 (55.63%), best:    5447/10000 (54.47%), error:     14518.57715, best error:     14226.50391 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1363.7498779297s, input_fired_time: 12.4901962280, output_fired_time: 10.3203716278, propagate_forward_time: 495.6284484863, propagate_backward_time: 831.2874755859, weight_update_time: 1.3559625149, other_time: 14.0234375000
epoch time: 103.9573898315s, input_fired_time: 1.4301372766, output_fired_time: 0.0000000000, propagate_forward_time: 99.9711914063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5560607910
validation[          , genome  6405] predictions:    5527/  10000 (55.27%), best:    5447/10000 (54.47%), error:     14461.07910, best error:     14226.50391 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1375.3905029297s, input_fired_time: 12.6421766281, output_fired_time: 10.3945379257, propagate_forward_time: 500.5794982910, propagate_backward_time: 837.7085571289, weight_update_time: 1.3606095314, other_time: 14.0657348633
epoch time: 104.4950714111s, input_fired_time: 1.4121401310, output_fired_time: 0.0000000000, propagate_forward_time: 100.5358734131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5470581055
validation[          , genome  6405] predictions:    5696/  10000 (56.96%), best:    5696/10000 (56.96%), error:     13489.26367, best error:     13489.26367 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1381.0822753906s, input_fired_time: 12.7105531693, output_fired_time: 10.4309787750, propagate_forward_time: 502.7932739258, propagate_backward_time: 840.9733886719, weight_update_time: 1.3691539764, other_time: 14.1740112305
epoch time: 104.8011093140s, input_fired_time: 1.4310145378, output_fired_time: 0.0000000000, propagate_forward_time: 100.8560028076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5140914917
validation[          , genome  6405] predictions:    5703/  10000 (57.03%), best:    5703/10000 (57.03%), error:     13183.07617, best error:     13183.07617 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1380.9130859375s, input_fired_time: 12.7114667892, output_fired_time: 10.4772815704, propagate_forward_time: 502.8592224121, propagate_backward_time: 840.7919921875, weight_update_time: 1.3628884554, other_time: 14.0731201172
epoch time: 104.8044204712s, input_fired_time: 1.4344927073, output_fired_time: 0.0000000000, propagate_forward_time: 100.8367004395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5332260132
validation[          , genome  6405] predictions:    5675/  10000 (56.75%), best:    5703/10000 (57.03%), error:     13795.93164, best error:     13183.07617 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1382.2586669922s, input_fired_time: 12.7348146439, output_fired_time: 10.4416913986, propagate_forward_time: 503.7078247070, propagate_backward_time: 841.3099365234, weight_update_time: 1.3627337217, other_time: 14.0643920898
epoch time: 104.3761520386s, input_fired_time: 1.4358023405, output_fired_time: 0.0000000000, propagate_forward_time: 100.3677520752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5726013184
validation[          , genome  6405] predictions:    5672/  10000 (56.72%), best:    5703/10000 (57.03%), error:     13446.80762, best error:     13183.07617 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1382.5610351563s, input_fired_time: 12.7225580215, output_fired_time: 10.4530534744, propagate_forward_time: 502.6235351563, propagate_backward_time: 842.6798706055, weight_update_time: 1.3596771955, other_time: 14.0820922852
epoch time: 104.9274368286s, input_fired_time: 1.4456555843, output_fired_time: 0.0000000000, propagate_forward_time: 100.9117889404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5699920654
validation[          , genome  6405] predictions:    5701/  10000 (57.01%), best:    5701/10000 (57.01%), error:     13173.49902, best error:     13173.49902 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_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: 0.814342
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00448107
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000179243
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: 20
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 5701
read best_validation_error: 13173.5
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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '648614805'
read generator: 648614805
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_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: 0.814342
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00448107
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000179243
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: 20
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 5701
read best_validation_error: 13173.5
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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '648614805'
read generator: 648614805
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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_1542727803_166_6405.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6405_1_r478224537_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: 0.814342
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00448107
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000179243
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: 20
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 5701
read best_validation_error: 13173.5
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: 6405
read normal distribution: '1 -0.116331592202187 -0.0537426769733429'
generator_str: '648614805'
read generator: 648614805
read generated_by_map:
1 crossover 1
reading 123 nodes.
reading 491 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: 1346.30297851563s, input_fired_time: 12.3982849121094, output_fired_time: 10.1767339706421, propagate_forward_time: 488.883178710938, propagate_backward_time: 820.817077636719, weight_update_time: 1.34303629398346, other_time: 14.0276489257813
epoch time: 103.889923095703s, input_fired_time: 1.43139576911926, output_fired_time: 0, propagate_forward_time: 99.9377288818359, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.52079772949219
validation[          , genome  6405] predictions:    5593/  10000 (55.93%), best:    5701/10000 (57.01%), error:     13574.18848, best error:     13173.49902 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1372.2142333984s, input_fired_time: 12.6956348419, output_fired_time: 10.3906879425, propagate_forward_time: 499.2950744629, propagate_backward_time: 835.7084960938, weight_update_time: 1.3643465042, other_time: 14.1242675781
epoch time: 103.4678802490s, input_fired_time: 1.4408921003, output_fired_time: 0.0000000000, propagate_forward_time: 99.4954071045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5315780640
validation[          , genome  6405] predictions:    5586/  10000 (55.86%), best:    5701/10000 (57.01%), error:     13444.92188, best error:     13173.49902 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1371.0329589844s, input_fired_time: 12.6924819946, output_fired_time: 10.3505983353, propagate_forward_time: 498.5016784668, propagate_backward_time: 835.3541870117, weight_update_time: 1.3677743673, other_time: 14.1339721680
epoch time: 104.4620361328s, input_fired_time: 1.4294283390, output_fired_time: 0.0000000000, propagate_forward_time: 100.5123443604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5202636719
validation[          , genome  6405] predictions:    5347/  10000 (53.47%), best:    5701/10000 (57.01%), error:     14656.70703, best error:     13173.49902 on epoch:    19, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1382.2363281250s, input_fired_time: 12.8029661179, output_fired_time: 10.4471597672, propagate_forward_time: 502.3791503906, propagate_backward_time: 842.3949584961, weight_update_time: 1.3767818213, other_time: 14.2120971680
epoch time: 104.8777542114s, input_fired_time: 1.4621602297, output_fired_time: 0.0000000000, propagate_forward_time: 100.8638534546, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5517425537
validation[          , genome  6405] predictions:    5768/  10000 (57.68%), best:    5701/10000 (57.01%), error:     13200.00781, best error:     13173.49902 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1324.4687500000s, input_fired_time: 12.2743415833, output_fired_time: 10.0456237793, propagate_forward_time: 481.6365661621, propagate_backward_time: 806.5659179688, weight_update_time: 1.3166893721, other_time: 13.9462890625
epoch time: 89.3244094849s, input_fired_time: 1.2367513180, output_fired_time: 0.0000000000, propagate_forward_time: 85.8667831421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2208786011
validation[          , genome  6405] predictions:    5914/  10000 (59.14%), best:    5914/10000 (59.14%), error:     12485.44727, best error:     12485.44727 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1178.0223388672s, input_fired_time: 10.9457187653, output_fired_time: 8.9260482788, propagate_forward_time: 428.0061645508, propagate_backward_time: 717.8561401367, weight_update_time: 1.1519577503, other_time: 12.2883300781
epoch time: 88.9889526367s, input_fired_time: 1.2328845263, output_fired_time: 0.0000000000, propagate_forward_time: 85.5228576660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2332077026
validation[          , genome  6405] predictions:    5633/  10000 (56.33%), best:    5914/10000 (59.14%), error:     13582.11621, best error:     12485.44727 on epoch:    24, 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: 447.8185424805s, input_fired_time: 6.2360816002, output_fired_time: 0.0000000000, propagate_forward_time: 430.3358154297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2466430664
best training[          , genome  6405] predictions:   33497/  50000 (66.99%), best:    5914/10000 (59.14%), error:     47718.53516, best error:     12485.44727 on epoch:    24, 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: 90.1185684204s, input_fired_time: 1.2511934042, output_fired_time: 0.0000000000, propagate_forward_time: 86.6138916016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2534866333
   testing[          , genome  6405] predictions:    5914/  10000 (59.14%), best:    5914/10000 (59.14%), error:     12485.44727, best error:     12485.44727 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
02:04:18 (2196): called boinc_finish(0)

</stderr_txt>
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