Nameexact_genome_1512568488_43_1050_1
Workunit2576556
Created6 Dec 2017, 17:57:57 UTC
Sent6 Dec 2017, 18:01:42 UTC
Report deadline11 Dec 2017, 5:38:11 UTC
Received6 Dec 2017, 21:10:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52320
Run time2 hours 16 min 5 sec
CPU time2 hours 15 min 55 sec
Validate stateValid
Credit1,120.92
Device peak FLOPS2.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size153.49 MB
Peak swap size151.99 MB
Peak disk usage1.50 MB

Stderr output

<core_client_version>7.8.2</core_client_version>
<![CDATA[
<stderr_txt>
6, output_fired_time: 0.0000000000, propagate_forward_time: 5.5846686363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4086089134
validation[          , genome  1050] predictions:    9449/  10000 (94.49%), best:    9477/10000 (94.77%), error:      1874.44873, best error:      1762.77026 on epoch:    39, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050_1_r340626267_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: 0.943711
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00118085
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.72341e-05
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: 46
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9477
read best_validation_error: 1762.77
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: 1050
read normal distribution: '0 0.691390573978424 0.87647145986557'
generator_str: '365414843'
read generator: 365414843
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 73.8934707641602s, input_fired_time: 0.657087862491608, output_fired_time: 0.593824982643127, propagate_forward_time: 28.0020656585693, propagate_backward_time: 42.3662300109863, weight_update_time: 0.117594435811043, other_time: 2.27425765991211
epoch time: 6.07442998886108s, input_fired_time: 0.0802423432469368, output_fired_time: 0, propagate_forward_time: 5.58913421630859, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.405053615570068
validation[          , genome  1050] predictions:    9450/  10000 (94.50%), best:    9477/10000 (94.77%), error:      1841.01892, best error:      1762.77026 on epoch:    39, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 74.1040344238s, input_fired_time: 0.6562069654, output_fired_time: 0.5991077423, propagate_forward_time: 28.1124572754, propagate_backward_time: 42.4707069397, weight_update_time: 0.1171718389, other_time: 2.2655601501
epoch time: 6.1113142967s, input_fired_time: 0.0812649801, output_fired_time: 0.0000000000, propagate_forward_time: 5.6219401360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4081091881
validation[          , genome  1050] predictions:    9469/  10000 (94.69%), best:    9477/10000 (94.77%), error:      1787.62439, best error:      1762.77026 on epoch:    39, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050_1_r340626267_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-05
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: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9477
read best_validation_error: 1762.77
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: 1050
read normal distribution: '0 0.691390573978424 0.87647145986557'
generator_str: '1750180325'
read generator: 1750180325
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050_1_r340626267_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-05
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: 48
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9477
read best_validation_error: 1762.77
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: 1050
read normal distribution: '0 0.691390573978424 0.87647145986557'
generator_str: '1750180325'
read generator: 1750180325
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 74.3013305664063s, input_fired_time: 0.646198868751526, output_fired_time: 0.600794434547424, propagate_forward_time: 28.2506008148193, propagate_backward_time: 42.6136512756348, weight_update_time: 0.116416648030281, other_time: 2.19008255004883
epoch time: 6.07193040847778s, input_fired_time: 0.0794145613908768, output_fired_time: 0, propagate_forward_time: 5.59668827056885, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.395827770233154
validation[          , genome  1050] predictions:    9409/  10000 (94.09%), best:    9477/10000 (94.77%), error:      2063.75659, best error:      1762.77026 on epoch:    39, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 73.9034576416s, input_fired_time: 0.6603180766, output_fired_time: 0.5992044806, propagate_forward_time: 28.0054874420, propagate_backward_time: 42.3834800720, weight_update_time: 0.1175472811, other_time: 2.2549705505
epoch time: 6.0897216797s, input_fired_time: 0.0812982693, output_fired_time: 0.0000000000, propagate_forward_time: 5.6008324623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4075908661
validation[          , genome  1050] predictions:    9465/  10000 (94.65%), best:    9477/10000 (94.77%), error:      1779.07874, best error:      1762.77026 on epoch:    39, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 73.3722152710s, input_fired_time: 0.6398655176, output_fired_time: 0.5875073671, propagate_forward_time: 27.7981624603, propagate_backward_time: 42.1516036987, weight_update_time: 0.1156844646, other_time: 2.1950759888
epoch time: 6.0510087013s, input_fired_time: 0.0799241289, output_fired_time: 0.0000000000, propagate_forward_time: 5.5713734627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3997111320
validation[          , genome  1050] predictions:    9453/  10000 (94.53%), best:    9477/10000 (94.77%), error:      1821.97729, best error:      1762.77026 on epoch:    39, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050_1_r340626267_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-05
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: 51
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 39
read number_validation_images: 10000
read best_validation_predictions: 9477
read best_validation_error: 1762.77
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: 1050
read normal distribution: '0 0.691390573978424 0.87647145986557'
generator_str: '35405847'
read generator: 35405847
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 74.0416259765625s, input_fired_time: 0.65729683637619, output_fired_time: 0.594793796539307, propagate_forward_time: 28.0794792175293, propagate_backward_time: 42.4539413452148, weight_update_time: 0.117237709462643, other_time: 2.2561149597168
epoch time: 6.0649676322937s, input_fired_time: 0.0807976499199867, output_fired_time: 0, propagate_forward_time: 5.5803394317627, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.403830528259277
validation[          , genome  1050] predictions:    9475/  10000 (94.75%), best:    9477/10000 (94.77%), error:      1803.06006, best error:      1762.77026 on epoch:    39, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 73.6890182495s, input_fired_time: 0.6432672143, output_fired_time: 0.5962466598, propagate_forward_time: 28.0315895081, propagate_backward_time: 42.2273216248, weight_update_time: 0.1157198697, other_time: 2.1905975342
epoch time: 6.0640320778s, input_fired_time: 0.0801325813, output_fired_time: 0.0000000000, propagate_forward_time: 5.5840487480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3998508453
validation[          , genome  1050] predictions:    9437/  10000 (94.37%), best:    9477/10000 (94.77%), error:      1979.32642, best error:      1762.77026 on epoch:    39, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 75.0511322021s, input_fired_time: 0.6605774164, output_fired_time: 0.6068198681, propagate_forward_time: 28.5317287445, propagate_backward_time: 42.9733543396, weight_update_time: 0.1196545064, other_time: 2.2786521912
epoch time: 6.1653642654s, input_fired_time: 0.0807805657, output_fired_time: 0.0000000000, propagate_forward_time: 5.6767606735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4078230858
validation[          , genome  1050] predictions:    9466/  10000 (94.66%), best:    9477/10000 (94.77%), error:      1794.46973, best error:      1762.77026 on epoch:    39, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 74.2006912231s, input_fired_time: 0.6541101336, output_fired_time: 0.6011857986, propagate_forward_time: 28.1218490601, propagate_backward_time: 42.5684700012, weight_update_time: 0.1186178103, other_time: 2.2550697327
epoch time: 6.1993470192s, input_fired_time: 0.0811991841, output_fired_time: 0.0000000000, propagate_forward_time: 5.7073063850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4108414650
validation[          , genome  1050] predictions:    9484/  10000 (94.84%), best:    9477/10000 (94.77%), error:      1779.77234, best error:      1762.77026 on epoch:    39, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 73.9160385132s, input_fired_time: 0.6449892521, output_fired_time: 0.5924504995, propagate_forward_time: 28.0986251831, propagate_backward_time: 42.3952445984, weight_update_time: 0.1146516576, other_time: 2.1847267151
epoch time: 6.1283826828s, input_fired_time: 0.0804409906, output_fired_time: 0.0000000000, propagate_forward_time: 5.6487636566, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3991780281
validation[          , genome  1050] predictions:    9482/  10000 (94.82%), best:    9482/10000 (94.82%), error:      1752.55493, best error:      1752.55493 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 74.1982192993s, input_fired_time: 0.6594364047, output_fired_time: 0.5982652307, propagate_forward_time: 28.2111721039, propagate_backward_time: 42.4735832214, weight_update_time: 0.1179368794, other_time: 2.2557563782
epoch time: 6.1493854523s, input_fired_time: 0.0811744183, output_fired_time: 0.0000000000, propagate_forward_time: 5.6587719917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4094390869
validation[          , genome  1050] predictions:    9490/  10000 (94.90%), best:    9482/10000 (94.82%), error:      1769.37744, best error:      1752.55493 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 73.8196334839s, input_fired_time: 0.6431107521, output_fired_time: 0.5943310261, propagate_forward_time: 28.0209445953, propagate_backward_time: 42.3881225586, weight_update_time: 0.1159510091, other_time: 2.1731262207
epoch time: 6.0608305931s, input_fired_time: 0.0792180970, output_fired_time: 0.0000000000, propagate_forward_time: 5.5808892250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4007234573
validation[          , genome  1050] predictions:    9493/  10000 (94.93%), best:    9493/10000 (94.93%), error:      1722.59790, best error:      1722.59790 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 73.9823303223s, input_fired_time: 0.6573039293, output_fired_time: 0.5970457792, propagate_forward_time: 28.1156520844, propagate_backward_time: 42.3605461121, weight_update_time: 0.1177544519, other_time: 2.2517814636
epoch time: 6.1317710876s, input_fired_time: 0.0808783993, output_fired_time: 0.0000000000, propagate_forward_time: 5.6414422989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4094505310
validation[          , genome  1050] predictions:    9477/  10000 (94.77%), best:    9493/10000 (94.93%), error:      1775.59863, best error:      1722.59790 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 73.7189483643s, input_fired_time: 0.6424818635, output_fired_time: 0.5971617103, propagate_forward_time: 27.9501113892, propagate_backward_time: 42.3435287476, weight_update_time: 0.1163640246, other_time: 2.1856689453
epoch time: 6.0719246864s, input_fired_time: 0.0799975917, output_fired_time: 0.0000000000, propagate_forward_time: 5.5937957764, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3981313705
validation[          , genome  1050] predictions:    9438/  10000 (94.38%), best:    9493/10000 (94.93%), error:      1824.15674, best error:      1722.59790 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 74.0739898682s, input_fired_time: 0.6582113504, output_fired_time: 0.5990470052, propagate_forward_time: 28.1558094025, propagate_backward_time: 42.4042472839, weight_update_time: 0.1178404391, other_time: 2.2566795349
epoch time: 6.1660375595s, input_fired_time: 0.0810616240, output_fired_time: 0.0000000000, propagate_forward_time: 5.6763520241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4086236954
validation[          , genome  1050] predictions:    9504/  10000 (95.04%), best:    9504/10000 (95.04%), error:      1712.96472, best error:      1712.96472 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 74.4194641113s, input_fired_time: 0.6605315804, output_fired_time: 0.6002280116, propagate_forward_time: 28.2510242462, propagate_backward_time: 42.6488533020, weight_update_time: 0.1191820800, other_time: 2.2588310242
epoch time: 6.1831774712s, input_fired_time: 0.0813601986, output_fired_time: 0.0000000000, propagate_forward_time: 5.6933512688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4084658623
validation[          , genome  1050] predictions:    9463/  10000 (94.63%), best:    9504/10000 (95.04%), error:      1869.66394, best error:      1712.96472 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 74.4513397217s, input_fired_time: 0.6545936465, output_fired_time: 0.6004506350, propagate_forward_time: 28.3361454010, propagate_backward_time: 42.6340103149, weight_update_time: 0.1174332276, other_time: 2.2261428833
epoch time: 6.0607500076s, input_fired_time: 0.0795264691, output_fired_time: 0.0000000000, propagate_forward_time: 5.5853109360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3959126472
validation[          , genome  1050] predictions:    9469/  10000 (94.69%), best:    9504/10000 (95.04%), error:      1803.28857, best error:      1712.96472 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 74.2600784302s, input_fired_time: 0.6604208946, output_fired_time: 0.6013281345, propagate_forward_time: 28.2210083008, propagate_backward_time: 42.5139122009, weight_update_time: 0.1188799441, other_time: 2.2634086609
epoch time: 6.1019887924s, input_fired_time: 0.0823016390, output_fired_time: 0.0000000000, propagate_forward_time: 5.6199555397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3997316360
validation[          , genome  1050] predictions:    9501/  10000 (95.01%), best:    9501/10000 (95.01%), error:      1712.55542, best error:      1712.55542 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 74.3708190918s, input_fired_time: 0.6630563140, output_fired_time: 0.6002679467, propagate_forward_time: 28.1920490265, propagate_backward_time: 42.6493644714, weight_update_time: 0.1196236461, other_time: 2.2660865784
epoch time: 6.1182923317s, input_fired_time: 0.0822819844, output_fired_time: 0.0000000000, propagate_forward_time: 5.6290440559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4069662094
validation[          , genome  1050] predictions:    9486/  10000 (94.86%), best:    9501/10000 (95.01%), error:      1730.08923, best error:      1712.55542 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 73.7681961060s, input_fired_time: 0.6541972160, output_fired_time: 0.5950416327, propagate_forward_time: 27.9528617859, propagate_backward_time: 42.3335494995, weight_update_time: 0.1167249531, other_time: 2.2325477600
epoch time: 6.0657320023s, input_fired_time: 0.0817959309, output_fired_time: 0.0000000000, propagate_forward_time: 5.5779609680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4059753418
validation[          , genome  1050] predictions:    9489/  10000 (94.89%), best:    9501/10000 (95.01%), error:      1758.51245, best error:      1712.55542 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 74.1813278198s, input_fired_time: 0.6597738862, output_fired_time: 0.5989233851, propagate_forward_time: 28.1971015930, propagate_backward_time: 42.4693450928, weight_update_time: 0.1171543375, other_time: 2.2561836243
epoch time: 6.0737648010s, input_fired_time: 0.0799937695, output_fired_time: 0.0000000000, propagate_forward_time: 5.5962014198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3975696564
validation[          , genome  1050] predictions:    9465/  10000 (94.65%), best:    9501/10000 (95.01%), error:      1810.62268, best error:      1712.55542 on epoch:    63, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 73.7121200562s, input_fired_time: 0.6476714015, output_fired_time: 0.5897697210, propagate_forward_time: 27.9674873352, propagate_backward_time: 42.3119277954, weight_update_time: 0.1160562262, other_time: 2.1952629089
epoch time: 6.0174260139s, input_fired_time: 0.0802368075, output_fired_time: 0.0000000000, propagate_forward_time: 5.5437254906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3934636116
validation[          , genome  1050] predictions:    9482/  10000 (94.82%), best:    9501/10000 (95.01%), error:      1729.66101, best error:      1712.55542 on epoch:    63, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 73.6701354980s, input_fired_time: 0.6490860581, output_fired_time: 0.5918870568, propagate_forward_time: 27.9438285828, propagate_backward_time: 42.2783241272, weight_update_time: 0.1154051200, other_time: 2.2070083618
epoch time: 6.1462993622s, input_fired_time: 0.0827352256, output_fired_time: 0.0000000000, propagate_forward_time: 5.6521196365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4114446640
validation[          , genome  1050] predictions:    9499/  10000 (94.99%), best:    9501/10000 (95.01%), error:      1737.44519, best error:      1712.55542 on epoch:    63, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 73.7867660522s, input_fired_time: 0.6460162401, output_fired_time: 0.5958054662, propagate_forward_time: 28.0093574524, propagate_backward_time: 42.3394813538, weight_update_time: 0.1146145612, other_time: 2.1961059570
epoch time: 6.1022853851s, input_fired_time: 0.0792227760, output_fired_time: 0.0000000000, propagate_forward_time: 5.6274094582, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3956532478
validation[          , genome  1050] predictions:    9483/  10000 (94.83%), best:    9501/10000 (95.01%), error:      1736.38208, best error:      1712.55542 on epoch:    63, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 74.3188934326s, input_fired_time: 0.6625286937, output_fired_time: 0.6008844376, propagate_forward_time: 28.2574081421, propagate_backward_time: 42.5285873413, weight_update_time: 0.1177480370, other_time: 2.2694854736
epoch time: 6.1392951012s, input_fired_time: 0.0815819502, output_fired_time: 0.0000000000, propagate_forward_time: 5.6508302689, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4068827629
validation[          , genome  1050] predictions:    9497/  10000 (94.97%), best:    9501/10000 (95.01%), error:      1724.38855, best error:      1712.55542 on epoch:    63, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 73.6666030884s, input_fired_time: 0.6493958831, output_fired_time: 0.5959412456, propagate_forward_time: 27.9444351196, propagate_backward_time: 42.2934646606, weight_update_time: 0.1144990921, other_time: 2.1833648682
epoch time: 6.1926097870s, input_fired_time: 0.0824157149, output_fired_time: 0.0000000000, propagate_forward_time: 5.6972537041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4129405022
validation[          , genome  1050] predictions:    9513/  10000 (95.13%), best:    9513/10000 (95.13%), error:      1694.41931, best error:      1694.41931 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 74.4048767090s, input_fired_time: 0.6587664485, output_fired_time: 0.5999804735, propagate_forward_time: 28.2369441986, propagate_backward_time: 42.6672096252, weight_update_time: 0.1168212071, other_time: 2.2419700623
epoch time: 6.1851882935s, input_fired_time: 0.0819586590, output_fired_time: 0.0000000000, propagate_forward_time: 5.6943669319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4088625908
validation[          , genome  1050] predictions:    9481/  10000 (94.81%), best:    9513/10000 (95.13%), error:      1802.09741, best error:      1694.41931 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 74.2347640991s, input_fired_time: 0.6539060473, output_fired_time: 0.5966743827, propagate_forward_time: 28.2127151489, propagate_backward_time: 42.5561485291, weight_update_time: 0.1163252369, other_time: 2.2153205872
epoch time: 6.0578413010s, input_fired_time: 0.0802790523, output_fired_time: 0.0000000000, propagate_forward_time: 5.5816621780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3959002495
validation[          , genome  1050] predictions:    9498/  10000 (94.98%), best:    9513/10000 (95.13%), error:      1774.86938, best error:      1694.41931 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 74.4454116821s, input_fired_time: 0.6648169756, output_fired_time: 0.6011034250, propagate_forward_time: 28.2602367401, propagate_backward_time: 42.6691322327, weight_update_time: 0.1171693504, other_time: 2.2501182556
epoch time: 6.1006875038s, input_fired_time: 0.0812354833, output_fired_time: 0.0000000000, propagate_forward_time: 5.6140184402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4054336548
validation[          , genome  1050] predictions:    9485/  10000 (94.85%), best:    9513/10000 (95.13%), error:      1724.29688, best error:      1694.41931 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 73.6894836426s, input_fired_time: 0.6590346098, output_fired_time: 0.5892561674, propagate_forward_time: 27.9473323822, propagate_backward_time: 42.2404518127, weight_update_time: 0.1174128503, other_time: 2.2534065247
epoch time: 6.1317477226s, input_fired_time: 0.0817185789, output_fired_time: 0.0000000000, propagate_forward_time: 5.6444411278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4055881500
validation[          , genome  1050] predictions:    9498/  10000 (94.98%), best:    9513/10000 (95.13%), error:      1757.25964, best error:      1694.41931 on epoch:    71, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 74.1972579956s, input_fired_time: 0.6515647173, output_fired_time: 0.5993343592, propagate_forward_time: 28.2310924530, propagate_backward_time: 42.5236434937, weight_update_time: 0.1180415377, other_time: 2.1916198730
epoch time: 6.1241011620s, input_fired_time: 0.0810890123, output_fired_time: 0.0000000000, propagate_forward_time: 5.6422438622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4007682800
validation[          , genome  1050] predictions:    9445/  10000 (94.45%), best:    9513/10000 (95.13%), error:      1862.80066, best error:      1694.41931 on epoch:    71, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 74.1883316040s, input_fired_time: 0.6613461971, output_fired_time: 0.5981561542, propagate_forward_time: 28.1361732483, propagate_backward_time: 42.5377693176, weight_update_time: 0.1173345223, other_time: 2.2548828125
epoch time: 6.0746235847s, input_fired_time: 0.0811893493, output_fired_time: 0.0000000000, propagate_forward_time: 5.5892982483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4041361809
validation[          , genome  1050] predictions:    9509/  10000 (95.09%), best:    9513/10000 (95.13%), error:      1722.10791, best error:      1694.41931 on epoch:    71, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 74.7187347412s, input_fired_time: 0.6674705148, output_fired_time: 0.6072305441, propagate_forward_time: 28.3831844330, propagate_backward_time: 42.7917366028, weight_update_time: 0.1187802032, other_time: 2.2691078186
epoch time: 6.1735324860s, input_fired_time: 0.0831333175, output_fired_time: 0.0000000000, propagate_forward_time: 5.6809339523, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4094653130
validation[          , genome  1050] predictions:    9424/  10000 (94.24%), best:    9513/10000 (95.13%), error:      2050.97681, best error:      1694.41931 on epoch:    71, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 74.3061828613s, input_fired_time: 0.6531666517, output_fired_time: 0.5999457240, propagate_forward_time: 28.2678031921, propagate_backward_time: 42.5933265686, weight_update_time: 0.1147311255, other_time: 2.1919403076
epoch time: 6.1348767281s, input_fired_time: 0.0814302936, output_fired_time: 0.0000000000, propagate_forward_time: 5.6548562050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3985900879
validation[          , genome  1050] predictions:    9497/  10000 (94.97%), best:    9513/10000 (95.13%), error:      1747.99927, best error:      1694.41931 on epoch:    71, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 74.5198287964s, input_fired_time: 0.6651920676, output_fired_time: 0.6020857692, propagate_forward_time: 28.3243637085, propagate_backward_time: 42.6929244995, weight_update_time: 0.1185225099, other_time: 2.2352600098
epoch time: 6.2004923820s, input_fired_time: 0.0820449740, output_fired_time: 0.0000000000, propagate_forward_time: 5.7087326050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4097146988
validation[          , genome  1050] predictions:    9496/  10000 (94.96%), best:    9513/10000 (95.13%), error:      1741.39343, best error:      1694.41931 on epoch:    71, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 73.9519653320s, input_fired_time: 0.6472578049, output_fired_time: 0.6003525257, propagate_forward_time: 28.0380573273, propagate_backward_time: 42.4689102173, weight_update_time: 0.1158783361, other_time: 2.1973953247
epoch time: 6.0710353851s, input_fired_time: 0.0804247707, output_fired_time: 0.0000000000, propagate_forward_time: 5.5938606262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3967499733
validation[          , genome  1050] predictions:    9495/  10000 (94.95%), best:    9513/10000 (95.13%), error:      1731.37354, best error:      1694.41931 on epoch:    71, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 74.2042312622s, input_fired_time: 0.6604716182, output_fired_time: 0.5969893932, propagate_forward_time: 28.1910858154, propagate_backward_time: 42.5239791870, weight_update_time: 0.1180291027, other_time: 2.2317047119
epoch time: 6.0800490379s, input_fired_time: 0.0807066262, output_fired_time: 0.0000000000, propagate_forward_time: 5.6021533012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3971891403
validation[          , genome  1050] predictions:    9444/  10000 (94.44%), best:    9513/10000 (95.13%), error:      1832.07666, best error:      1694.41931 on epoch:    71, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 73.9146499634s, input_fired_time: 0.6563034654, output_fired_time: 0.5952444077, propagate_forward_time: 28.0007152557, propagate_backward_time: 42.4127349854, weight_update_time: 0.1177487895, other_time: 2.2496490479
epoch time: 6.0645933151s, input_fired_time: 0.0820821077, output_fired_time: 0.0000000000, propagate_forward_time: 5.5775213242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4049897194
validation[          , genome  1050] predictions:    9460/  10000 (94.60%), best:    9513/10000 (95.13%), error:      1900.85767, best error:      1694.41931 on epoch:    71, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 74.7755966187s, input_fired_time: 0.6681293249, output_fired_time: 0.6064910293, propagate_forward_time: 28.4266738892, propagate_backward_time: 42.8203392029, weight_update_time: 0.1179920286, other_time: 2.2539634705
epoch time: 6.1990890503s, input_fired_time: 0.0830598325, output_fired_time: 0.0000000000, propagate_forward_time: 5.7047629356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4112663269
validation[          , genome  1050] predictions:    9487/  10000 (94.87%), best:    9513/10000 (95.13%), error:      1756.22522, best error:      1694.41931 on epoch:    71, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 74.4175262451s, input_fired_time: 0.6544572711, output_fired_time: 0.5953621268, propagate_forward_time: 28.3037853241, propagate_backward_time: 42.6785697937, weight_update_time: 0.1167711839, other_time: 2.1853523254
epoch time: 6.1242833138s, input_fired_time: 0.0816335827, output_fired_time: 0.0000000000, propagate_forward_time: 5.6440753937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3985743523
validation[          , genome  1050] predictions:    9500/  10000 (95.00%), best:    9513/10000 (95.13%), error:      1717.83716, best error:      1694.41931 on epoch:    71, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 73.9573669434s, input_fired_time: 0.6649214029, output_fired_time: 0.5949395895, propagate_forward_time: 28.0588607788, propagate_backward_time: 42.3791160583, weight_update_time: 0.1171398610, other_time: 2.2595252991
epoch time: 6.1399073601s, input_fired_time: 0.0820069239, output_fired_time: 0.0000000000, propagate_forward_time: 5.6525344849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4053659439
validation[          , genome  1050] predictions:    9513/  10000 (95.13%), best:    9513/10000 (95.13%), error:      1701.69104, best error:      1694.41931 on epoch:    71, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 73.8255462646s, input_fired_time: 0.6509039402, output_fired_time: 0.5935134292, propagate_forward_time: 28.0443744659, propagate_backward_time: 42.3605194092, weight_update_time: 0.1156388074, other_time: 2.1762390137
epoch time: 6.1363382339s, input_fired_time: 0.0818108320, output_fired_time: 0.0000000000, propagate_forward_time: 5.6553487778, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3991785049
validation[          , genome  1050] predictions:    9511/  10000 (95.11%), best:    9513/10000 (95.13%), error:      1699.10950, best error:      1694.41931 on epoch:    71, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 74.7153091431s, input_fired_time: 0.6707806587, output_fired_time: 0.6057366729, propagate_forward_time: 28.3908042908, propagate_backward_time: 42.7841300964, weight_update_time: 0.1183247939, other_time: 2.2638549805
epoch time: 6.1551980972s, input_fired_time: 0.0834848583, output_fired_time: 0.0000000000, propagate_forward_time: 5.6622238159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4094896317
validation[          , genome  1050] predictions:    9494/  10000 (94.94%), best:    9513/10000 (95.13%), error:      1736.87671, best error:      1694.41931 on epoch:    71, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 74.3019943237s, input_fired_time: 0.6684182286, output_fired_time: 0.5990504026, propagate_forward_time: 28.2595958710, propagate_backward_time: 42.5134925842, weight_update_time: 0.1186947376, other_time: 2.2614326477
epoch time: 6.1499271393s, input_fired_time: 0.0830449313, output_fired_time: 0.0000000000, propagate_forward_time: 5.6571946144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4096875191
validation[          , genome  1050] predictions:    9473/  10000 (94.73%), best:    9513/10000 (95.13%), error:      1801.71179, best error:      1694.41931 on epoch:    71, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 73.9208831787s, input_fired_time: 0.6613700986, output_fired_time: 0.5938774943, propagate_forward_time: 28.0244369507, propagate_backward_time: 42.3844528198, weight_update_time: 0.1187830642, other_time: 2.2567443848
epoch time: 6.1031885147s, input_fired_time: 0.0806900710, output_fired_time: 0.0000000000, propagate_forward_time: 5.6247406006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3977580070
validation[          , genome  1050] predictions:    9513/  10000 (95.13%), best:    9513/10000 (95.13%), error:      1699.62134, best error:      1694.41931 on epoch:    71, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 74.9310455322s, input_fired_time: 0.6705194712, output_fired_time: 0.6073906422, propagate_forward_time: 28.4619464874, propagate_backward_time: 42.9243698120, weight_update_time: 0.1186460629, other_time: 2.2668228149
epoch time: 6.1907215118s, input_fired_time: 0.0824938789, output_fired_time: 0.0000000000, propagate_forward_time: 5.6991295815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4090981483
validation[          , genome  1050] predictions:    9488/  10000 (94.88%), best:    9513/10000 (95.13%), error:      1730.29907, best error:      1694.41931 on epoch:    71, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 74.0019302368s, input_fired_time: 0.6642761230, output_fired_time: 0.5973569155, propagate_forward_time: 28.1427307129, propagate_backward_time: 42.3471298218, weight_update_time: 0.1167950779, other_time: 2.2504348755
epoch time: 6.1313538551s, input_fired_time: 0.0825536698, output_fired_time: 0.0000000000, propagate_forward_time: 5.6404690742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4083309174
validation[          , genome  1050] predictions:    9506/  10000 (95.06%), best:    9513/10000 (95.13%), error:      1709.93408, best error:      1694.41931 on epoch:    71, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 73.8221511841s, input_fired_time: 0.6558974385, output_fired_time: 0.5941992402, propagate_forward_time: 28.0351943970, propagate_backward_time: 42.3458175659, weight_update_time: 0.1154879928, other_time: 2.1910400391
epoch time: 6.1673746109s, input_fired_time: 0.0832918063, output_fired_time: 0.0000000000, propagate_forward_time: 5.6732707024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4108119011
validation[          , genome  1050] predictions:    9504/  10000 (95.04%), best:    9513/10000 (95.13%), error:      1722.37537, best error:      1694.41931 on epoch:    71, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 74.1624526978s, input_fired_time: 0.6650085449, output_fired_time: 0.6030609012, propagate_forward_time: 28.1833629608, propagate_backward_time: 42.4518318176, weight_update_time: 0.1170941815, other_time: 2.2591896057
epoch time: 6.1230559349s, input_fired_time: 0.0832460895, output_fired_time: 0.0000000000, propagate_forward_time: 5.6292533875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4105563164
validation[          , genome  1050] predictions:    9461/  10000 (94.61%), best:    9513/10000 (95.13%), error:      1809.75464, best error:      1694.41931 on epoch:    71, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 73.7146453857s, input_fired_time: 0.6576128006, output_fired_time: 0.5953722596, propagate_forward_time: 28.0505180359, propagate_backward_time: 42.2256317139, weight_update_time: 0.1159635112, other_time: 2.1855049133
epoch time: 6.0895829201s, input_fired_time: 0.0808001831, output_fired_time: 0.0000000000, propagate_forward_time: 5.6116418839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3971409798
validation[          , genome  1050] predictions:    9491/  10000 (94.91%), best:    9513/10000 (95.13%), error:      1740.81030, best error:      1694.41931 on epoch:    71, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 74.1820144653s, input_fired_time: 0.6567583680, output_fired_time: 0.5986469388, propagate_forward_time: 28.2235279083, propagate_backward_time: 42.5009117126, weight_update_time: 0.1168534905, other_time: 2.2021675110
epoch time: 6.0433349609s, input_fired_time: 0.0811376795, output_fired_time: 0.0000000000, propagate_forward_time: 5.5656828880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3965144157
validation[          , genome  1050] predictions:    9477/  10000 (94.77%), best:    9513/10000 (95.13%), error:      1754.84961, best error:      1694.41931 on epoch:    71, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 73.9344329834s, input_fired_time: 0.6529629827, output_fired_time: 0.5953509808, propagate_forward_time: 28.1039085388, propagate_backward_time: 42.4022407532, weight_update_time: 0.1152403653, other_time: 2.1799697876
epoch time: 6.1679339409s, input_fired_time: 0.0817279816, output_fired_time: 0.0000000000, propagate_forward_time: 5.6856975555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4005084038
validation[          , genome  1050] predictions:    9498/  10000 (94.98%), best:    9513/10000 (95.13%), error:      1750.86584, best error:      1694.41931 on epoch:    71, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_1050_1_r340626267_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: 0.986786
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 8.20017e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.28007e-06
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: 98
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 71
read number_validation_images: 10000
read best_validation_predictions: 9513
read best_validation_error: 1694.42
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: 1050
read normal distribution: '0 0.691390573978424 0.87647145986557'
generator_str: '343774459'
read generator: 343774459
read generated_by_map:
1 change_size_x 1
reading 16 nodes.
reading 26 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 73.6244735717773s, input_fired_time: 0.656995296478271, output_fired_time: 0.593180894851685, propagate_forward_time: 27.9160614013672, propagate_backward_time: 42.2614784240723, weight_update_time: 0.11445014923811, other_time: 2.19675827026367
epoch time: 6.19200992584229s, input_fired_time: 0.0822696164250374, output_fired_time: 0, propagate_forward_time: 5.70270824432373, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.407032012939453
validation[          , genome  1050] predictions:    9480/  10000 (94.80%), best:    9513/10000 (95.13%), error:      1764.06763, best error:      1694.41931 on epoch:    71, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 74.1747665405s, input_fired_time: 0.6567465663, output_fired_time: 0.5984190702, propagate_forward_time: 28.1794605255, propagate_backward_time: 42.5525398254, weight_update_time: 0.1155658364, other_time: 2.1876029968
epoch time: 6.1462259293s, input_fired_time: 0.0826019719, output_fired_time: 0.0000000000, propagate_forward_time: 5.6646065712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3990173340
validation[          , genome  1050] predictions:    9486/  10000 (94.86%), best:    9513/10000 (95.13%), error:      1761.33655, best error:      1694.41931 on epoch:    71, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 74.3932571411s, input_fired_time: 0.6588482857, output_fired_time: 0.6024451852, propagate_forward_time: 28.3002586365, propagate_backward_time: 42.6333732605, weight_update_time: 0.1156174466, other_time: 2.1983261108
epoch time: 6.0735259056s, input_fired_time: 0.0818044767, output_fired_time: 0.0000000000, propagate_forward_time: 5.5943756104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3973460197
validation[          , genome  1050] predictions:    9493/  10000 (94.93%), best:    9513/10000 (95.13%), error:      1778.53223, best error:      1694.41931 on epoch:    71, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 30.8256664276s, input_fired_time: 0.4097366333, output_fired_time: 0.0000000000, propagate_forward_time: 28.3300170898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0859127045
best training[          , genome  1050] predictions:   48140/  50000 (96.28%), best:    9513/10000 (95.13%), error:      6582.31494, best error:      1694.41931 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 6.0905714035s, input_fired_time: 0.0801641867, output_fired_time: 0.0000000000, propagate_forward_time: 5.6126093864, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3977980614
   testing[          , genome  1050] predictions:    9541/  10000 (95.41%), best:    9513/10000 (95.13%), error:      1584.28357, best error:      1694.41931 on epoch:    71, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
05:10:24 (4836): called boinc_finish(0)

</stderr_txt>
]]>