Nameexact_genome_1542031203_174_5609_1
Workunit4081918
Created12 Nov 2018, 19:46:19 UTC
Sent12 Nov 2018, 19:52:09 UTC
Report deadline23 Dec 2018, 19:13:04 UTC
Received10 Dec 2018, 11:09:22 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time16 hours 10 min 1 sec
CPU time16 hours 9 min 40 sec
Validate stateValid
Credit10,243.22
Device peak FLOPS3.83 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.31 MB
Peak swap size544.96 MB
Peak disk usage9.85 MB

Stderr output

<core_client_version>7.12.1</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
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_1542031203_174_5609.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5609_1_r1328332153_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5609.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: 50
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: 5609
read normal distribution: '1 -0.964434564113617 0.658559083938599'
generator_str: '868973231'
read generator: 868973231
read generated_by_map:
1 merge_node 1
reading 93 nodes.
reading 329 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: 1944293817
post shuffle 1: 2045047697
epoch time: 1154.09802246094s, input_fired_time: 9.17226696014404, output_fired_time: 7.86487293243408, propagate_forward_time: 428.756195068359, propagate_backward_time: 696.361511230469, weight_update_time: 1.11304807662964, other_time: 11.9431762695313
epoch time: 66.6069869995117s, input_fired_time: 0.912534296512604, output_fired_time: 0, propagate_forward_time: 63.8234519958496, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.87099838256836
validation[          , genome  5609] predictions:    4464/  10000 (44.64%), best:    4464/10000 (44.64%), error:     20595.96680, best error:     20595.96680 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1105.3973388672s, input_fired_time: 8.9035730362, output_fired_time: 7.6281404495, propagate_forward_time: 408.1057128906, propagate_backward_time: 668.9458618164, weight_update_time: 1.0892399549, other_time: 11.8140258789
epoch time: 79.0201568604s, input_fired_time: 1.0075408220, output_fired_time: 0.0000000000, propagate_forward_time: 75.9497528076, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0628662109
validation[          , genome  5609] predictions:    4875/  10000 (48.75%), best:    4875/10000 (48.75%), error:     16860.95117, best error:     16860.95117 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1169.9709472656s, input_fired_time: 9.1079406738, output_fired_time: 7.9842233658, propagate_forward_time: 435.0828857422, propagate_backward_time: 705.6583862305, weight_update_time: 1.1217594147, other_time: 12.1375122070
epoch time: 69.8900909424s, input_fired_time: 0.9172752500, output_fired_time: 0.0000000000, propagate_forward_time: 67.0735778809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8992385864
validation[          , genome  5609] predictions:    4906/  10000 (49.06%), best:    4906/10000 (49.06%), error:     16440.46875, best error:     16440.46875 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

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_1542031203_174_5609.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5609_1_r1328332153_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: 0.569886
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0107172
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000428687
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: 3
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 2
read number_validation_images: 10000
read best_validation_predictions: 4906
read best_validation_error: 16440.5
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: 5609
read normal distribution: '1 -0.964434564113617 0.658559083938599'
generator_str: '1338468984'
read generator: 1338468984
read generated_by_map:
1 merge_node 1
reading 93 nodes.
reading 329 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: 1262.08837890625s, input_fired_time: 9.45052909851074, output_fired_time: 8.59858894348145, propagate_forward_time: 469.049072265625, propagate_backward_time: 761.838134765625, weight_update_time: 1.19378590583801, other_time: 13.1519775390625
epoch time: 91.9460906982422s, input_fired_time: 1.1152480840683, output_fired_time: 0, propagate_forward_time: 88.5615615844727, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.26927947998047
validation[          , genome  5609] predictions:    5031/  10000 (50.31%), best:    5031/10000 (50.31%), error:     16043.89551, best error:     16043.89551 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1232.4696044922s, input_fired_time: 9.3319988251, output_fired_time: 8.4264030457, propagate_forward_time: 457.0365905762, propagate_backward_time: 744.8468017578, weight_update_time: 1.1675468683, other_time: 12.8277587891
epoch time: 95.7467422485s, input_fired_time: 1.1450009346, output_fired_time: 0.0000000000, propagate_forward_time: 92.2994842529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3022537231
validation[          , genome  5609] predictions:    4796/  10000 (47.96%), best:    5031/10000 (50.31%), error:     16775.61719, best error:     16043.89551 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1217.5943603516s, input_fired_time: 9.3114662170, output_fired_time: 8.3345289230, propagate_forward_time: 454.2801513672, propagate_backward_time: 732.8837890625, weight_update_time: 1.1597006321, other_time: 12.7844238281
epoch time: 86.8699951172s, input_fired_time: 1.0537443161, output_fired_time: 0.0000000000, propagate_forward_time: 83.5808334351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2354202271
validation[          , genome  5609] predictions:    4773/  10000 (47.73%), best:    5031/10000 (50.31%), error:     16459.75195, best error:     16043.89551 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1201.4958496094s, input_fired_time: 9.1977472305, output_fired_time: 8.1793603897, propagate_forward_time: 445.6574401855, propagate_backward_time: 725.7642211914, weight_update_time: 1.1501848698, other_time: 12.6970825195
epoch time: 93.5013656616s, input_fired_time: 1.1172734499, output_fired_time: 0.0000000000, propagate_forward_time: 90.0368194580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3472747803
validation[          , genome  5609] predictions:    5216/  10000 (52.16%), best:    5216/10000 (52.16%), error:     14646.86133, best error:     14646.86133 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1188.7864990234s, input_fired_time: 9.1759815216, output_fired_time: 8.1594171524, propagate_forward_time: 442.2299804688, propagate_backward_time: 716.5615234375, weight_update_time: 1.1426988840, other_time: 12.6595458984
epoch time: 93.8277511597s, input_fired_time: 1.1254760027, output_fired_time: 0.0000000000, propagate_forward_time: 90.4039382935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2983398438
validation[          , genome  5609] predictions:    4705/  10000 (47.05%), best:    5216/10000 (52.16%), error:     16946.01758, best error:     14646.86133 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1232.9858398438s, input_fired_time: 9.3838720322, output_fired_time: 8.4488382339, propagate_forward_time: 460.7505493164, propagate_backward_time: 741.3533325195, weight_update_time: 1.1787989140, other_time: 13.0491943359
epoch time: 97.9522781372s, input_fired_time: 1.1442744732, output_fired_time: 0.0000000000, propagate_forward_time: 94.4826660156, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3253402710
validation[          , genome  5609] predictions:    5102/  10000 (51.02%), best:    5216/10000 (52.16%), error:     15096.22852, best error:     14646.86133 on epoch:     6, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1286.5280761719s, input_fired_time: 9.6506929398, output_fired_time: 8.6826057434, propagate_forward_time: 483.7254333496, propagate_backward_time: 771.1983032227, weight_update_time: 1.2048691511, other_time: 13.2710571289
epoch time: 99.9153518677s, input_fired_time: 1.1802413464, output_fired_time: 0.0000000000, propagate_forward_time: 96.3685226440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3665847778
validation[          , genome  5609] predictions:    5349/  10000 (53.49%), best:    5349/10000 (53.49%), error:     14574.84180, best error:     14574.84180 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1258.0635986328s, input_fired_time: 9.4800567627, output_fired_time: 8.6128873825, propagate_forward_time: 466.9862365723, propagate_backward_time: 759.9442749023, weight_update_time: 1.1890218258, other_time: 13.0401000977
epoch time: 97.1145935059s, input_fired_time: 1.1783304214, output_fired_time: 0.0000000000, propagate_forward_time: 93.6334381104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3028259277
validation[          , genome  5609] predictions:    4914/  10000 (49.14%), best:    5349/10000 (53.49%), error:     16290.97461, best error:     14574.84180 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1248.2500000000s, input_fired_time: 9.4136638641, output_fired_time: 8.4989833832, propagate_forward_time: 464.3003540039, propagate_backward_time: 753.1840820313, weight_update_time: 1.1769006252, other_time: 12.8528442383
epoch time: 97.9306411743s, input_fired_time: 1.1609270573, output_fired_time: 0.0000000000, propagate_forward_time: 94.5058898926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2638244629
validation[          , genome  5609] predictions:    5237/  10000 (52.37%), best:    5349/10000 (53.49%), error:     14911.24121, best error:     14574.84180 on epoch:     9, epoch:   11/50, 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_1542031203_174_5609.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5609_1_r1328332153_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: 50
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 5349
read best_validation_error: 14574.8
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: 5609
read normal distribution: '1 -0.964434564113617 0.658559083938599'
generator_str: '95127207'
read generator: 95127207
read generated_by_map:
1 merge_node 1
reading 93 nodes.
reading 329 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: 1238.90600585938s, input_fired_time: 11.3440036773682, output_fired_time: 9.58041191101074, propagate_forward_time: 452.465942382813, propagate_backward_time: 743.624206542969, weight_update_time: 1.4526219367981, other_time: 21.8914184570313
epoch time: 99.0043563842773s, input_fired_time: 1.38647830486298, output_fired_time: 0, propagate_forward_time: 93.3498458862305, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.26803588867188
validation[          , genome  5609] predictions:    5275/  10000 (52.75%), best:    5275/10000 (52.75%), error:     14524.95020, best error:     14524.95020 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1301.5493164063s, input_fired_time: 11.0839757919, output_fired_time: 9.7372550964, propagate_forward_time: 478.5020141602, propagate_backward_time: 780.9658203125, weight_update_time: 1.4270846844, other_time: 21.2601928711
epoch time: 69.9871749878s, input_fired_time: 1.0514451265, output_fired_time: 0.0000000000, propagate_forward_time: 66.3492660522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5864639282
validation[          , genome  5609] predictions:    5097/  10000 (50.97%), best:    5275/10000 (52.75%), error:     15187.27441, best error:     14524.95020 on epoch:    12, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1133.0660400391s, input_fired_time: 10.0911569595, output_fired_time: 8.3761548996, propagate_forward_time: 411.8780822754, propagate_backward_time: 685.2760009766, weight_update_time: 1.2865570784, other_time: 17.4447021484
epoch time: 84.9845657349s, input_fired_time: 1.2215409279, output_fired_time: 0.0000000000, propagate_forward_time: 80.3861541748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3768692017
validation[          , genome  5609] predictions:    5492/  10000 (54.92%), best:    5492/10000 (54.92%), error:     13659.10254, best error:     13659.10254 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1091.1495361328s, input_fired_time: 9.5636806488, output_fired_time: 8.0234899521, propagate_forward_time: 396.7372131348, propagate_backward_time: 660.8568725586, weight_update_time: 1.1998146772, other_time: 15.9683227539
epoch time: 61.9341773987s, input_fired_time: 0.8573524356, output_fired_time: 0.0000000000, propagate_forward_time: 59.2169189453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8599052429
validation[          , genome  5609] predictions:    5059/  10000 (50.59%), best:    5492/10000 (54.92%), error:     15526.29395, best error:     13659.10254 on epoch:    14, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 860.2709350586s, input_fired_time: 7.8555369377, output_fired_time: 6.2163515091, propagate_forward_time: 307.4245910645, propagate_backward_time: 528.1994628906, weight_update_time: 0.9548251033, other_time: 10.5749511719
epoch time: 58.2078208923s, input_fired_time: 0.8414459825, output_fired_time: 0.0000000000, propagate_forward_time: 55.5703010559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7960739136
validation[          , genome  5609] predictions:    5411/  10000 (54.11%), best:    5492/10000 (54.92%), error:     14361.02051, best error:     13659.10254 on epoch:    14, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 895.4141235352s, input_fired_time: 8.0182533264, output_fired_time: 6.4346709251, propagate_forward_time: 321.5187988281, propagate_backward_time: 548.6437988281, weight_update_time: 0.9757099748, other_time: 10.7985839844
epoch time: 86.9216384888s, input_fired_time: 1.0729128122, output_fired_time: 0.0000000000, propagate_forward_time: 83.7862319946, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0624923706
validation[          , genome  5609] predictions:    5486/  10000 (54.86%), best:    5492/10000 (54.92%), error:     13683.06055, best error:     13659.10254 on epoch:    14, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 881.7271728516s, input_fired_time: 7.9410991669, output_fired_time: 6.3167095184, propagate_forward_time: 316.4238586426, propagate_backward_time: 540.4160766602, weight_update_time: 0.9667111635, other_time: 10.6294555664
epoch time: 58.1633872986s, input_fired_time: 0.8404783010, output_fired_time: 0.0000000000, propagate_forward_time: 55.5313339233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7915763855
validation[          , genome  5609] predictions:    5466/  10000 (54.66%), best:    5466/10000 (54.66%), error:     13636.08691, best error:     13636.08691 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 809.5142822266s, input_fired_time: 7.6484541893, output_fired_time: 5.9001269341, propagate_forward_time: 286.5859375000, propagate_backward_time: 499.1193237305, weight_update_time: 0.9256736636, other_time: 10.2604370117
epoch time: 68.4242935181s, input_fired_time: 0.9378559589, output_fired_time: 0.0000000000, propagate_forward_time: 65.5415496826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9448852539
validation[          , genome  5609] predictions:    5468/  10000 (54.68%), best:    5466/10000 (54.66%), error:     14368.47363, best error:     13636.08691 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 814.2996215820s, input_fired_time: 7.6799130440, output_fired_time: 5.9308280945, propagate_forward_time: 288.7755432129, propagate_backward_time: 501.5869140625, weight_update_time: 0.9309189916, other_time: 10.3263854980
epoch time: 76.7157821655s, input_fired_time: 1.0179642439, output_fired_time: 0.0000000000, propagate_forward_time: 73.6397399902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0580749512
validation[          , genome  5609] predictions:    5538/  10000 (55.38%), best:    5538/10000 (55.38%), error:     13585.78320, best error:     13585.78320 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 825.7435302734s, input_fired_time: 7.7401213646, output_fired_time: 5.9969315529, propagate_forward_time: 293.4480895996, propagate_backward_time: 508.1994934082, weight_update_time: 0.9391652346, other_time: 10.3588562012
epoch time: 75.1287307739s, input_fired_time: 0.9761803150, output_fired_time: 0.0000000000, propagate_forward_time: 72.2012252808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9513244629
validation[          , genome  5609] predictions:    5201/  10000 (52.01%), best:    5538/10000 (55.38%), error:     14511.88770, best error:     13585.78320 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 895.0499877930s, input_fired_time: 8.0480718613, output_fired_time: 6.4178586006, propagate_forward_time: 321.6786499023, propagate_backward_time: 548.1138916016, weight_update_time: 0.9753519297, other_time: 10.7915039063
epoch time: 70.2747497559s, input_fired_time: 0.9345109463, output_fired_time: 0.0000000000, propagate_forward_time: 67.4303054810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9099349976
validation[          , genome  5609] predictions:    5368/  10000 (53.68%), best:    5538/10000 (55.38%), error:     13968.02441, best error:     13585.78320 on epoch:    20, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 919.2222900391s, input_fired_time: 8.1733350754, output_fired_time: 6.5620675087, propagate_forward_time: 331.7531433105, propagate_backward_time: 561.8354492188, weight_update_time: 0.9866393209, other_time: 10.8983154297
epoch time: 62.6693344116s, input_fired_time: 0.8942002654, output_fired_time: 0.0000000000, propagate_forward_time: 59.9456634521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8294715881
validation[          , genome  5609] predictions:    5386/  10000 (53.86%), best:    5538/10000 (55.38%), error:     14531.80762, best error:     13585.78320 on epoch:    20, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 816.0709838867s, input_fired_time: 7.7383866310, output_fired_time: 5.9605431557, propagate_forward_time: 289.1653442383, propagate_backward_time: 502.8679809570, weight_update_time: 0.9315775633, other_time: 10.3386840820
epoch time: 58.1431617737s, input_fired_time: 0.8547176719, output_fired_time: 0.0000000000, propagate_forward_time: 55.4988021851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7896423340
validation[          , genome  5609] predictions:    5578/  10000 (55.78%), best:    5538/10000 (55.38%), error:     13819.11035, best error:     13585.78320 on epoch:    20, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 788.8873291016s, input_fired_time: 7.6209058762, output_fired_time: 5.7860240936, propagate_forward_time: 278.1275939941, propagate_backward_time: 487.1909484863, weight_update_time: 0.9147046208, other_time: 10.1618652344
epoch time: 59.9250144958s, input_fired_time: 0.8729121685, output_fired_time: 0.0000000000, propagate_forward_time: 57.2405319214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8115692139
validation[          , genome  5609] predictions:    5466/  10000 (54.66%), best:    5538/10000 (55.38%), error:     14108.65430, best error:     13585.78320 on epoch:    20, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 818.6973876953s, input_fired_time: 7.7633013725, output_fired_time: 5.9666528702, propagate_forward_time: 290.2157592773, propagate_backward_time: 504.3996582031, weight_update_time: 0.9320693016, other_time: 10.3519897461
epoch time: 71.3920288086s, input_fired_time: 0.9675824642, output_fired_time: 0.0000000000, propagate_forward_time: 68.5137176514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9107284546
validation[          , genome  5609] predictions:    5636/  10000 (56.36%), best:    5636/10000 (56.36%), error:     13158.72266, best error:     13158.72266 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 903.0664672852s, input_fired_time: 8.1085205078, output_fired_time: 6.4109802246, propagate_forward_time: 325.5737304688, propagate_backward_time: 552.2659912109, weight_update_time: 0.9775611758, other_time: 10.7072753906
epoch time: 64.0982589722s, input_fired_time: 0.9104290605, output_fired_time: 0.0000000000, propagate_forward_time: 61.3120040894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8758239746
validation[          , genome  5609] predictions:    5581/  10000 (55.81%), best:    5636/10000 (56.36%), error:     13852.38770, best error:     13158.72266 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1042.8039550781s, input_fired_time: 8.7443227768, output_fired_time: 7.2695136070, propagate_forward_time: 382.9826049805, propagate_backward_time: 632.2303466797, weight_update_time: 1.0553189516, other_time: 11.5772094727
epoch time: 64.2804794312s, input_fired_time: 0.9200503826, output_fired_time: 0.0000000000, propagate_forward_time: 61.5025939941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8578338623
validation[          , genome  5609] predictions:    5615/  10000 (56.15%), best:    5636/10000 (56.36%), error:     13530.26367, best error:     13158.72266 on epoch:    26, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 939.2093505859s, input_fired_time: 8.3108386993, output_fired_time: 6.6904125214, propagate_forward_time: 339.5627441406, propagate_backward_time: 573.5937500000, weight_update_time: 0.9986576438, other_time: 11.0515747070
epoch time: 58.3504638672s, input_fired_time: 0.8613647819, output_fired_time: 0.0000000000, propagate_forward_time: 55.6960067749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7930908203
validation[          , genome  5609] predictions:    5413/  10000 (54.13%), best:    5636/10000 (56.36%), error:     14261.79492, best error:     13158.72266 on epoch:    26, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 863.6171264648s, input_fired_time: 7.9769654274, output_fired_time: 6.2071843147, propagate_forward_time: 308.8764648438, propagate_backward_time: 529.9886474609, weight_update_time: 0.9581933618, other_time: 10.5678100586
epoch time: 76.7887649536s, input_fired_time: 1.0137046576, output_fired_time: 0.0000000000, propagate_forward_time: 73.8137207031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9613418579
validation[          , genome  5609] predictions:    5687/  10000 (56.87%), best:    5687/10000 (56.87%), error:     12889.73633, best error:     12889.73633 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 900.5341796875s, input_fired_time: 8.1526155472, output_fired_time: 6.4358491898, propagate_forward_time: 324.1483459473, propagate_backward_time: 551.0011596680, weight_update_time: 0.9760414958, other_time: 10.7962036133
epoch time: 68.1897125244s, input_fired_time: 0.9524530172, output_fired_time: 0.0000000000, propagate_forward_time: 65.3435668945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8936920166
validation[          , genome  5609] predictions:    5730/  10000 (57.30%), best:    5687/10000 (56.87%), error:     12914.53613, best error:     12889.73633 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 845.2220458984s, input_fired_time: 7.9054536819, output_fired_time: 6.0990481377, propagate_forward_time: 301.5078735352, propagate_backward_time: 519.2829589844, weight_update_time: 0.9448524714, other_time: 10.4266967773
epoch time: 58.4356536865s, input_fired_time: 0.8770182729, output_fired_time: 0.0000000000, propagate_forward_time: 55.7608222961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7978134155
validation[          , genome  5609] predictions:    5672/  10000 (56.72%), best:    5687/10000 (56.87%), error:     13180.19043, best error:     12889.73633 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 870.9444580078s, input_fired_time: 8.0404272079, output_fired_time: 6.2552995682, propagate_forward_time: 311.9247741699, propagate_backward_time: 534.0869140625, weight_update_time: 0.9608175159, other_time: 10.6370849609
epoch time: 102.1871719360s, input_fired_time: 1.2407499552, output_fired_time: 0.0000000000, propagate_forward_time: 98.6690826416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2773361206
validation[          , genome  5609] predictions:    5440/  10000 (54.40%), best:    5687/10000 (56.87%), error:     13743.09082, best error:     12889.73633 on epoch:    30, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 982.8990478516s, input_fired_time: 8.4768886566, output_fired_time: 6.8614954948, propagate_forward_time: 358.1282043457, propagate_backward_time: 598.3593139648, weight_update_time: 1.0164411068, other_time: 11.0731811523
epoch time: 94.0146026611s, input_fired_time: 1.1469236612, output_fired_time: 0.0000000000, propagate_forward_time: 90.7552566528, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1124191284
validation[          , genome  5609] predictions:    5794/  10000 (57.94%), best:    5794/10000 (57.94%), error:     12692.81543, best error:     12692.81543 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 995.6481323242s, input_fired_time: 8.5107145309, output_fired_time: 6.9125213623, propagate_forward_time: 363.3553161621, propagate_backward_time: 605.7665405273, weight_update_time: 1.0240950584, other_time: 11.1029663086
epoch time: 66.8733367920s, input_fired_time: 0.9368110895, output_fired_time: 0.0000000000, propagate_forward_time: 64.0676040649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8689193726
validation[          , genome  5609] predictions:    5635/  10000 (56.35%), best:    5794/10000 (57.94%), error:     13237.36426, best error:     12692.81543 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 863.3263549805s, input_fired_time: 7.9695672989, output_fired_time: 6.1864352226, propagate_forward_time: 308.8534240723, propagate_backward_time: 529.8491821289, weight_update_time: 0.9503296614, other_time: 10.4677124023
epoch time: 107.5736923218s, input_fired_time: 1.2618415356, output_fired_time: 0.0000000000, propagate_forward_time: 104.0784149170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2334365845
validation[          , genome  5609] predictions:    5754/  10000 (57.54%), best:    5794/10000 (57.94%), error:     12968.05762, best error:     12692.81543 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 906.8986816406s, input_fired_time: 8.1947154999, output_fired_time: 6.4727702141, propagate_forward_time: 326.2962036133, propagate_backward_time: 555.1610107422, weight_update_time: 0.9770852923, other_time: 10.7739868164
epoch time: 101.4886169434s, input_fired_time: 1.2191237211, output_fired_time: 0.0000000000, propagate_forward_time: 98.0941848755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1753082275
validation[          , genome  5609] predictions:    5687/  10000 (56.87%), best:    5794/10000 (57.94%), error:     13242.93359, best error:     12692.81543 on epoch:    34, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 906.2303466797s, input_fired_time: 8.1660852432, output_fired_time: 6.4240932465, propagate_forward_time: 326.3972473145, propagate_backward_time: 554.5682983398, weight_update_time: 0.9742951989, other_time: 10.6746215820
epoch time: 89.6862945557s, input_fired_time: 1.1321990490, output_fired_time: 0.0000000000, propagate_forward_time: 86.4796905518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0744018555
validation[          , genome  5609] predictions:    5870/  10000 (58.70%), best:    5794/10000 (57.94%), error:     12796.79395, best error:     12692.81543 on epoch:    34, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1076.4808349609s, input_fired_time: 8.9377260208, output_fired_time: 7.4358043671, propagate_forward_time: 396.3255310059, propagate_backward_time: 652.1264038086, weight_update_time: 1.0693753958, other_time: 11.6553344727
epoch time: 68.5026626587s, input_fired_time: 0.9649031162, output_fired_time: 0.0000000000, propagate_forward_time: 65.6767807007, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8609771729
validation[          , genome  5609] predictions:    5720/  10000 (57.20%), best:    5794/10000 (57.94%), error:     13067.28125, best error:     12692.81543 on epoch:    34, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1166.2304687500s, input_fired_time: 9.2553071976, output_fired_time: 7.8706445694, propagate_forward_time: 433.4141235352, propagate_backward_time: 703.7655029297, weight_update_time: 1.1154286861, other_time: 11.9249877930
epoch time: 91.2330627441s, input_fired_time: 1.1396918297, output_fired_time: 0.0000000000, propagate_forward_time: 87.9858322144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1075363159
validation[          , genome  5609] predictions:    5802/  10000 (58.02%), best:    5794/10000 (57.94%), error:     12714.88672, best error:     12692.81543 on epoch:    34, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1159.0805664063s, input_fired_time: 9.2398204803, output_fired_time: 7.8357372284, propagate_forward_time: 431.4379577637, propagate_backward_time: 698.6832275391, weight_update_time: 1.1086874008, other_time: 11.8837890625
epoch time: 100.3990859985s, input_fired_time: 1.2188038826, output_fired_time: 0.0000000000, propagate_forward_time: 97.0251159668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1551666260
validation[          , genome  5609] predictions:    5793/  10000 (57.93%), best:    5794/10000 (57.94%), error:     12905.44824, best error:     12692.81543 on epoch:    34, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1164.3508300781s, input_fired_time: 9.2672014236, output_fired_time: 7.8643584251, propagate_forward_time: 433.6019287109, propagate_backward_time: 701.6999511719, weight_update_time: 1.1140702963, other_time: 11.9173583984
epoch time: 78.9961471558s, input_fired_time: 1.0528908968, output_fired_time: 0.0000000000, propagate_forward_time: 75.9304656982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0127868652
validation[          , genome  5609] predictions:    5702/  10000 (57.02%), best:    5794/10000 (57.94%), error:     13363.46582, best error:     12692.81543 on epoch:    34, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1033.9853515625s, input_fired_time: 8.7606582642, output_fired_time: 7.1616840363, propagate_forward_time: 379.1695861816, propagate_backward_time: 627.5145263672, weight_update_time: 1.0439643860, other_time: 11.3789062500
epoch time: 65.3857269287s, input_fired_time: 0.9428834319, output_fired_time: 0.0000000000, propagate_forward_time: 62.6037826538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8390579224
validation[          , genome  5609] predictions:    5968/  10000 (59.68%), best:    5968/10000 (59.68%), error:     12261.35059, best error:     12261.35059 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1060.9399414063s, input_fired_time: 8.8583154678, output_fired_time: 7.2797169685, propagate_forward_time: 391.1243286133, propagate_backward_time: 642.3016967773, weight_update_time: 1.0570698977, other_time: 11.3759765625
epoch time: 83.7158813477s, input_fired_time: 1.0864701271, output_fired_time: 0.0000000000, propagate_forward_time: 80.6268005371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0026092529
validation[          , genome  5609] predictions:    5696/  10000 (56.96%), best:    5968/10000 (59.68%), error:     13188.90137, best error:     12261.35059 on epoch:    43, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1161.7163085938s, input_fired_time: 9.2773942947, output_fired_time: 7.8551049232, propagate_forward_time: 431.7027587891, propagate_backward_time: 700.9843139648, weight_update_time: 1.1099569798, other_time: 11.8967895508
epoch time: 84.7035064697s, input_fired_time: 1.1116614342, output_fired_time: 0.0000000000, propagate_forward_time: 81.5291671753, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0626754761
validation[          , genome  5609] predictions:    5863/  10000 (58.63%), best:    5968/10000 (59.68%), error:     12409.53711, best error:     12261.35059 on epoch:    43, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1144.4520263672s, input_fired_time: 9.2284040451, output_fired_time: 7.7384023666, propagate_forward_time: 425.6770019531, propagate_backward_time: 689.9925537109, weight_update_time: 1.1032909155, other_time: 11.8156738281
epoch time: 69.5887680054s, input_fired_time: 0.9856857061, output_fired_time: 0.0000000000, propagate_forward_time: 66.7258682251, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8772125244
validation[          , genome  5609] predictions:    5907/  10000 (59.07%), best:    5968/10000 (59.68%), error:     12467.01367, best error:     12261.35059 on epoch:    43, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1171.2908935547s, input_fired_time: 9.3342370987, output_fired_time: 7.8831815720, propagate_forward_time: 436.2711181641, propagate_backward_time: 705.8696289063, weight_update_time: 1.1179035902, other_time: 11.9327392578
epoch time: 89.5039825439s, input_fired_time: 1.1490082741, output_fired_time: 0.0000000000, propagate_forward_time: 86.2776184082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0773544312
validation[          , genome  5609] predictions:    5981/  10000 (59.81%), best:    5968/10000 (59.68%), error:     12298.45898, best error:     12261.35059 on epoch:    43, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1230.9090576172s, input_fired_time: 9.5834980011, output_fired_time: 8.1850872040, propagate_forward_time: 462.1007080078, propagate_backward_time: 738.8303833008, weight_update_time: 1.1483840942, other_time: 12.2094116211
epoch time: 91.6355361938s, input_fired_time: 1.1626298428, output_fired_time: 0.0000000000, propagate_forward_time: 88.3908386230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0820693970
validation[          , genome  5609] predictions:    5932/  10000 (59.32%), best:    5968/10000 (59.68%), error:     12308.02148, best error:     12261.35059 on epoch:    43, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1222.5949707031s, input_fired_time: 9.5504064560, output_fired_time: 8.1703348160, propagate_forward_time: 457.0831909180, propagate_backward_time: 735.6392822266, weight_update_time: 1.1462380886, other_time: 12.1517944336
epoch time: 91.4604797363s, input_fired_time: 1.1559290886, output_fired_time: 0.0000000000, propagate_forward_time: 88.2076339722, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0969161987
validation[          , genome  5609] predictions:    5895/  10000 (58.95%), best:    5968/10000 (59.68%), error:     12498.94336, best error:     12261.35059 on epoch:    43, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1200.4278564453s, input_fired_time: 9.5180053711, output_fired_time: 8.1068801880, propagate_forward_time: 447.4677734375, propagate_backward_time: 723.1234741211, weight_update_time: 1.1370379925, other_time: 12.2117309570
epoch time: 90.4562530518s, input_fired_time: 1.1552743912, output_fired_time: 0.0000000000, propagate_forward_time: 87.2074127197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0935668945
validation[          , genome  5609] predictions:    5881/  10000 (58.81%), best:    5968/10000 (59.68%), error:     12519.11914, best error:     12261.35059 on epoch:    43, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 484.4384765625s, input_fired_time: 6.0624566078, output_fired_time: 0.0000000000, propagate_forward_time: 467.3421020508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.0339050293
best training[          , genome  5609] predictions:   34635/  50000 (69.27%), best:    5968/10000 (59.68%), error:     44621.59766, best error:     12261.35059 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 103.8233947754s, input_fired_time: 1.2802575827, output_fired_time: 0.0000000000, propagate_forward_time: 100.2194747925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3236618042
   testing[          , genome  5609] predictions:    5968/  10000 (59.68%), best:    5968/10000 (59.68%), error:     12261.35059, best error:     12261.35059 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
11:08:41 (31136): called boinc_finish(0)

</stderr_txt>
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