Nameexact_genome_1542727803_175_6406_1
Workunit4101156
Created20 Nov 2018, 18:12:12 UTC
Sent20 Nov 2018, 18:13:36 UTC
Report deadline15 Jan 2019, 8:43:12 UTC
Received21 Nov 2018, 19:36:29 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87483
Run time20 hours 21 min 40 sec
CPU time20 hours 2 min 2 sec
Validate stateValid
Credit13,900.97
Device peak FLOPS4.23 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size532.36 MB
Peak swap size552.19 MB
Peak disk usage10.72 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406_1_r1979139237_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406.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: 6406
read normal distribution: '0 -0.409504324197769 -0.401813328266144'
generator_str: '1338937281'
read generator: 1338937281
read generated_by_map:
1 split_edge 1
reading 90 nodes.
reading 349 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: 37744854
post shuffle 1: 604960006
epoch time: 1629.3291015625s, input_fired_time: 12.4424247741699, output_fired_time: 10.7995738983154, propagate_forward_time: 639.90380859375, propagate_backward_time: 948.856201171875, weight_update_time: 0.740432858467102, other_time: 17.3271484375
epoch time: 133.249923706055s, input_fired_time: 1.50502407550812, output_fired_time: 0, propagate_forward_time: 128.618499755859, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.12640380859375
validation[          , genome  6406] predictions:    4993/  10000 (49.93%), best:    4993/10000 (49.93%), error:     17662.21484, best error:     17662.21484 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1645.9963378906s, input_fired_time: 12.3998861313, output_fired_time: 10.9603147507, propagate_forward_time: 646.9396362305, propagate_backward_time: 958.8878784180, weight_update_time: 0.7445076704, other_time: 16.8085937500
epoch time: 133.8756256104s, input_fired_time: 1.5045269728, output_fired_time: 0.0000000000, propagate_forward_time: 129.2771301270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0939636230
validation[          , genome  6406] predictions:    5380/  10000 (53.80%), best:    5380/10000 (53.80%), error:     15171.55957, best error:     15171.55957 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1644.8736572266s, input_fired_time: 12.3467760086, output_fired_time: 10.9116897583, propagate_forward_time: 646.8888549805, propagate_backward_time: 957.7869873047, weight_update_time: 0.7422888279, other_time: 16.9392700195
epoch time: 134.8351593018s, input_fired_time: 1.5089956522, output_fired_time: 0.0000000000, propagate_forward_time: 130.0893859863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2367706299
validation[          , genome  6406] predictions:    5395/  10000 (53.95%), best:    5395/10000 (53.95%), error:     14947.60840, best error:     14947.60840 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1654.9395751953s, input_fired_time: 12.2703971863, output_fired_time: 10.9204683304, propagate_forward_time: 650.5791625977, propagate_backward_time: 963.7164916992, weight_update_time: 0.7379483581, other_time: 17.4531250000
epoch time: 134.3951110840s, input_fired_time: 1.4832324982, output_fired_time: 0.0000000000, propagate_forward_time: 129.7433776855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1685028076
validation[          , genome  6406] predictions:    5202/  10000 (52.02%), best:    5395/10000 (53.95%), error:     16912.26172, best error:     14947.60840 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1652.9381103516s, input_fired_time: 12.2851076126, output_fired_time: 10.9365367889, propagate_forward_time: 650.2199096680, propagate_backward_time: 962.2798461914, weight_update_time: 0.7602722049, other_time: 17.2166748047
epoch time: 134.7191009521s, input_fired_time: 1.4835245609, output_fired_time: 0.0000000000, propagate_forward_time: 129.9814300537, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2541503906
validation[          , genome  6406] predictions:    5493/  10000 (54.93%), best:    5493/10000 (54.93%), error:     14197.80664, best error:     14197.80664 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1654.1030273438s, input_fired_time: 12.2554702759, output_fired_time: 10.8799924850, propagate_forward_time: 650.4530029297, propagate_backward_time: 963.1059570313, weight_update_time: 0.7492979169, other_time: 17.4085693359
epoch time: 134.5064697266s, input_fired_time: 1.4819817543, output_fired_time: 0.0000000000, propagate_forward_time: 129.8247375488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1997528076
validation[          , genome  6406] predictions:    4922/  10000 (49.22%), best:    5493/10000 (54.93%), error:     16682.45117, best error:     14197.80664 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1653.3020019531s, input_fired_time: 12.2034320831, output_fired_time: 10.9205436707, propagate_forward_time: 650.2137451172, propagate_backward_time: 962.6456298828, weight_update_time: 0.7359826565, other_time: 17.3186035156
epoch time: 135.0716857910s, input_fired_time: 1.4918147326, output_fired_time: 0.0000000000, propagate_forward_time: 130.3300170898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2498474121
validation[          , genome  6406] predictions:    5443/  10000 (54.43%), best:    5493/10000 (54.93%), error:     14303.01074, best error:     14197.80664 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1653.0500488281s, input_fired_time: 12.2475461960, output_fired_time: 10.9207687378, propagate_forward_time: 650.0871582031, propagate_backward_time: 962.7080078125, weight_update_time: 0.7487667799, other_time: 17.0865478516
epoch time: 135.4671630859s, input_fired_time: 1.4717780352, output_fired_time: 0.0000000000, propagate_forward_time: 130.7586669922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2367248535
validation[          , genome  6406] predictions:    5377/  10000 (53.77%), best:    5493/10000 (54.93%), error:     14512.36914, best error:     14197.80664 on epoch:     4, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1653.8927001953s, input_fired_time: 12.3077468872, output_fired_time: 10.8884382248, propagate_forward_time: 650.4904174805, propagate_backward_time: 963.2985839844, weight_update_time: 0.7356915474, other_time: 16.9075317383
epoch time: 134.6059722900s, input_fired_time: 1.4881778955, output_fired_time: 0.0000000000, propagate_forward_time: 129.8838806152, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2339172363
validation[          , genome  6406] predictions:    5600/  10000 (56.00%), best:    5600/10000 (56.00%), error:     13625.89844, best error:     13625.89844 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1652.2458496094s, input_fired_time: 12.3098573685, output_fired_time: 10.8914489746, propagate_forward_time: 650.1356201172, propagate_backward_time: 962.2893066406, weight_update_time: 0.7408879399, other_time: 16.6196289063
epoch time: 134.8859100342s, input_fired_time: 1.5138623714, output_fired_time: 0.0000000000, propagate_forward_time: 130.2361450195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1359100342
validation[          , genome  6406] predictions:    5512/  10000 (55.12%), best:    5600/10000 (56.00%), error:     14150.94434, best error:     13625.89844 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1541.1898193359s, input_fired_time: 11.7028932571, output_fired_time: 10.1898460388, propagate_forward_time: 599.1395263672, propagate_backward_time: 903.4804687500, weight_update_time: 0.7005673647, other_time: 16.6771240234
epoch time: 121.7167434692s, input_fired_time: 1.3902262449, output_fired_time: 0.0000000000, propagate_forward_time: 117.1859970093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1405181885
validation[          , genome  6406] predictions:    5052/  10000 (50.52%), best:    5600/10000 (56.00%), error:     16346.65430, best error:     13625.89844 on epoch:     8, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1518.4940185547s, input_fired_time: 11.5883293152, output_fired_time: 10.0355510712, propagate_forward_time: 588.6361694336, propagate_backward_time: 891.4916992188, weight_update_time: 0.6968830228, other_time: 16.7422485352
epoch time: 122.7174911499s, input_fired_time: 1.3989555836, output_fired_time: 0.0000000000, propagate_forward_time: 118.1532440186, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1652908325
validation[          , genome  6406] predictions:    5624/  10000 (56.24%), best:    5600/10000 (56.00%), error:     13738.36426, best error:     13625.89844 on epoch:     8, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1516.5957031250s, input_fired_time: 11.6276111603, output_fired_time: 10.0096244812, propagate_forward_time: 587.6958618164, propagate_backward_time: 890.7157592773, weight_update_time: 0.6966667771, other_time: 16.5468750000
epoch time: 122.2529754639s, input_fired_time: 1.3970037699, output_fired_time: 0.0000000000, propagate_forward_time: 117.7568588257, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0991134644
validation[          , genome  6406] predictions:    5477/  10000 (54.77%), best:    5600/10000 (56.00%), error:     14446.58691, best error:     13625.89844 on epoch:     8, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1516.0875244141s, input_fired_time: 11.6269397736, output_fired_time: 9.9966335297, propagate_forward_time: 587.2015991211, propagate_backward_time: 890.5581665039, weight_update_time: 0.6968464851, other_time: 16.7042236328
epoch time: 121.8739166260s, input_fired_time: 1.4070866108, output_fired_time: 0.0000000000, propagate_forward_time: 117.3453598022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1214675903
validation[          , genome  6406] predictions:    5486/  10000 (54.86%), best:    5600/10000 (56.00%), error:     13975.71289, best error:     13625.89844 on epoch:     8, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1446.6300048828s, input_fired_time: 11.3012504578, output_fired_time: 9.5470209122, propagate_forward_time: 556.1821289063, propagate_backward_time: 852.6956787109, weight_update_time: 0.6675289273, other_time: 16.9039306641
epoch time: 112.9426040649s, input_fired_time: 1.3393121958, output_fired_time: 0.0000000000, propagate_forward_time: 108.4990234375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1042709351
validation[          , genome  6406] predictions:    5598/  10000 (55.98%), best:    5600/10000 (56.00%), error:     14637.66699, best error:     13625.89844 on epoch:     8, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1407.3177490234s, input_fired_time: 11.1196899414, output_fired_time: 9.3177194595, propagate_forward_time: 538.5602416992, propagate_backward_time: 831.4542236328, weight_update_time: 0.6570969820, other_time: 16.8657836914
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406_1_r1979139237_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 15
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 8
read number_validation_images: 10000
read best_validation_predictions: 5600
read best_validation_error: 13625.9
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6406
read normal distribution: '0 -0.409504324197769 -0.401813328266144'
generator_str: '414166927'
read generator: 414166927
read generated_by_map:
1 split_edge 1
reading 90 nodes.
reading 349 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: 1318.06433105469s, input_fired_time: 10.7053155899048, output_fired_time: 8.65070819854736, propagate_forward_time: 495.087646484375, propagate_backward_time: 778.880249023438, weight_update_time: 0.634949028491974, other_time: 24.7403564453125
epoch time: 101.914329528809s, input_fired_time: 1.27578067779541, output_fired_time: 0, propagate_forward_time: 97.5944061279297, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.04414367675781
validation[          , genome  6406] predictions:    5741/  10000 (57.41%), best:    5741/10000 (57.41%), error:     13240.38867, best error:     13240.38867 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1331.1262207031s, input_fired_time: 10.8191137314, output_fired_time: 8.8315153122, propagate_forward_time: 508.8673400879, propagate_backward_time: 786.6112060547, weight_update_time: 0.6455475092, other_time: 15.9970703125
epoch time: 110.1705627441s, input_fired_time: 1.3206630945, output_fired_time: 0.0000000000, propagate_forward_time: 105.6883621216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1615371704
validation[          , genome  6406] predictions:    5861/  10000 (58.61%), best:    5861/10000 (58.61%), error:     12844.98242, best error:     12844.98242 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1349.8135986328s, input_fired_time: 10.9166851044, output_fired_time: 8.8121862411, propagate_forward_time: 525.6680908203, propagate_backward_time: 787.6744995117, weight_update_time: 0.6470616460, other_time: 16.7422485352
epoch time: 109.9716949463s, input_fired_time: 1.2794187069, output_fired_time: 0.0000000000, propagate_forward_time: 105.6068115234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0854644775
validation[          , genome  6406] predictions:    5394/  10000 (53.94%), best:    5861/10000 (58.61%), error:     14569.04492, best error:     12844.98242 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1373.6806640625s, input_fired_time: 11.1067638397, output_fired_time: 9.0635185242, propagate_forward_time: 533.1578369141, propagate_backward_time: 803.9862670898, weight_update_time: 0.6629303694, other_time: 16.3662719727
epoch time: 111.0401077271s, input_fired_time: 1.3635083437, output_fired_time: 0.0000000000, propagate_forward_time: 106.6260147095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0505828857
validation[          , genome  6406] predictions:    5732/  10000 (57.32%), best:    5861/10000 (58.61%), error:     13296.38477, best error:     12844.98242 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1476.4022216797s, input_fired_time: 11.6519203186, output_fired_time: 9.8124961853, propagate_forward_time: 576.6130371094, propagate_backward_time: 862.5761108398, weight_update_time: 0.7082204819, other_time: 15.7485961914
epoch time: 127.3224029541s, input_fired_time: 1.4481637478, output_fired_time: 0.0000000000, propagate_forward_time: 123.0965042114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7777328491
validation[          , genome  6406] predictions:    5551/  10000 (55.51%), best:    5861/10000 (58.61%), error:     14291.98438, best error:     12844.98242 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1346.9985351563s, input_fired_time: 10.9514245987, output_fired_time: 8.8685426712, propagate_forward_time: 511.7934265137, propagate_backward_time: 799.3397827148, weight_update_time: 0.6534025073, other_time: 16.0453491211
epoch time: 102.9721603394s, input_fired_time: 1.2761331797, output_fired_time: 0.0000000000, propagate_forward_time: 98.6478805542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0481491089
validation[          , genome  6406] predictions:    5654/  10000 (56.54%), best:    5861/10000 (58.61%), error:     13500.68945, best error:     12844.98242 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1312.3845214844s, input_fired_time: 10.7494001389, output_fired_time: 8.5357608795, propagate_forward_time: 496.3637390137, propagate_backward_time: 780.6898803711, weight_update_time: 0.6344478130, other_time: 16.0457153320
epoch time: 102.5647277832s, input_fired_time: 1.2774703503, output_fired_time: 0.0000000000, propagate_forward_time: 98.3214797974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9657745361
validation[          , genome  6406] predictions:    5785/  10000 (57.85%), best:    5861/10000 (58.61%), error:     12894.03906, best error:     12844.98242 on epoch:    16, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1345.1721191406s, input_fired_time: 11.0757036209, output_fired_time: 8.8780832291, propagate_forward_time: 513.7868652344, propagate_backward_time: 794.9724731445, weight_update_time: 0.6600431800, other_time: 16.4590454102
epoch time: 113.8807830811s, input_fired_time: 1.3742252588, output_fired_time: 0.0000000000, propagate_forward_time: 109.4785385132, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0280227661
validation[          , genome  6406] predictions:    5539/  10000 (55.39%), best:    5861/10000 (58.61%), error:     14248.74805, best error:     12844.98242 on epoch:    16, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1396.8395996094s, input_fired_time: 11.3340091705, output_fired_time: 9.2412729263, propagate_forward_time: 540.4110717773, propagate_backward_time: 817.6301879883, weight_update_time: 0.6793782115, other_time: 18.2230224609
epoch time: 114.0532073975s, input_fired_time: 1.3888205290, output_fired_time: 0.0000000000, propagate_forward_time: 109.4873428345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1770477295
validation[          , genome  6406] predictions:    5772/  10000 (57.72%), best:    5861/10000 (58.61%), error:     13132.81348, best error:     12844.98242 on epoch:    16, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406_1_r1979139237_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: 0.846925
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00364986
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000145994
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: 24
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 16
read number_validation_images: 10000
read best_validation_predictions: 5861
read best_validation_error: 12845
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: 6406
read normal distribution: '0 -0.409504324197769 -0.401813328266144'
generator_str: '1317372218'
read generator: 1317372218
read generated_by_map:
1 split_edge 1
reading 90 nodes.
reading 349 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: 1408.82336425781s, input_fired_time: 11.3384666442871, output_fired_time: 9.30240249633789, propagate_forward_time: 536.388305664063, propagate_backward_time: 825.066589355469, weight_update_time: 0.684757471084595, other_time: 26.7276000976563
epoch time: 119.032302856445s, input_fired_time: 1.40540862083435, output_fired_time: 0, propagate_forward_time: 112.572944641113, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.05394744873047
validation[          , genome  6406] predictions:    5755/  10000 (57.55%), best:    5861/10000 (58.61%), error:     13400.36914, best error:     12844.98242 on epoch:    16, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1353.0327148438s, input_fired_time: 11.0502672195, output_fired_time: 9.0011081696, propagate_forward_time: 513.9236450195, propagate_backward_time: 802.8650512695, weight_update_time: 0.6593016386, other_time: 16.1926269531
epoch time: 104.0622558594s, input_fired_time: 1.3336827755, output_fired_time: 0.0000000000, propagate_forward_time: 99.6629867554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0655899048
validation[          , genome  6406] predictions:    5600/  10000 (56.00%), best:    5861/10000 (58.61%), error:     13545.04395, best error:     12844.98242 on epoch:    16, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1381.3820800781s, input_fired_time: 11.2696619034, output_fired_time: 9.2188615799, propagate_forward_time: 528.5271606445, propagate_backward_time: 815.9949951172, weight_update_time: 0.6725336313, other_time: 16.3713989258
epoch time: 127.5808258057s, input_fired_time: 1.5096600056, output_fired_time: 0.0000000000, propagate_forward_time: 123.5688018799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5023651123
validation[          , genome  6406] predictions:    5734/  10000 (57.34%), best:    5861/10000 (58.61%), error:     13219.65723, best error:     12844.98242 on epoch:    16, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1231.4287109375s, input_fired_time: 10.5425195694, output_fired_time: 8.2128715515, propagate_forward_time: 461.3988037109, propagate_backward_time: 735.0036010742, weight_update_time: 0.6154233217, other_time: 16.2709350586
epoch time: 79.8248901367s, input_fired_time: 1.1512379646, output_fired_time: 0.0000000000, propagate_forward_time: 75.5714569092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1021957397
validation[          , genome  6406] predictions:    5573/  10000 (55.73%), best:    5861/10000 (58.61%), error:     13879.14355, best error:     12844.98242 on epoch:    16, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1143.8731689453s, input_fired_time: 10.2151231766, output_fired_time: 7.6211962700, propagate_forward_time: 428.6537475586, propagate_backward_time: 681.2136840820, weight_update_time: 0.5971112251, other_time: 16.1694335938
epoch time: 91.5946960449s, input_fired_time: 1.2236927748, output_fired_time: 0.0000000000, propagate_forward_time: 87.3310165405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0399856567
validation[          , genome  6406] predictions:    5694/  10000 (56.94%), best:    5861/10000 (58.61%), error:     13796.71094, best error:     12844.98242 on epoch:    16, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1054.1262207031s, input_fired_time: 9.7700586319, output_fired_time: 6.9905676842, propagate_forward_time: 393.8786010742, propagate_backward_time: 627.4782714844, weight_update_time: 0.5477952361, other_time: 16.0087280273
epoch time: 91.8030090332s, input_fired_time: 1.2257893085, output_fired_time: 0.0000000000, propagate_forward_time: 87.5936203003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9835968018
validation[          , genome  6406] predictions:    5816/  10000 (58.16%), best:    5861/10000 (58.61%), error:     13045.89258, best error:     12844.98242 on epoch:    16, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1139.6198730469s, input_fired_time: 10.2743291855, output_fired_time: 7.5965180397, propagate_forward_time: 429.2333374023, propagate_backward_time: 676.1992797852, weight_update_time: 0.5949119925, other_time: 16.3164062500
epoch time: 82.3804092407s, input_fired_time: 1.1838607788, output_fired_time: 0.0000000000, propagate_forward_time: 77.9974670410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1990814209
validation[          , genome  6406] predictions:    5775/  10000 (57.75%), best:    5861/10000 (58.61%), error:     13126.02539, best error:     12844.98242 on epoch:    16, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1802.3980712891s, input_fired_time: 15.6683387756, output_fired_time: 11.2301568985, propagate_forward_time: 687.0285644531, propagate_backward_time: 1062.2968750000, weight_update_time: 1.0506042242, other_time: 26.1741943359
epoch time: 210.6474761963s, input_fired_time: 2.5646331310, output_fired_time: 0.0000000000, propagate_forward_time: 201.9597625732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1230773926
validation[          , genome  6406] predictions:    5784/  10000 (57.84%), best:    5861/10000 (58.61%), error:     13159.42383, best error:     12844.98242 on epoch:    16, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1090.6696777344s, input_fired_time: 10.0430669785, output_fired_time: 7.1088294983, propagate_forward_time: 416.7452697754, propagate_backward_time: 637.6392211914, weight_update_time: 0.5414525270, other_time: 19.1332397461
epoch time: 84.9383544922s, input_fired_time: 1.1396700144, output_fired_time: 0.0000000000, propagate_forward_time: 80.2022094727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5964736938
validation[          , genome  6406] predictions:    5781/  10000 (57.81%), best:    5861/10000 (58.61%), error:     12933.01074, best error:     12844.98242 on epoch:    16, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1087.7645263672s, input_fired_time: 10.0101976395, output_fired_time: 7.0548911095, propagate_forward_time: 415.4992980957, propagate_backward_time: 636.1136474609, weight_update_time: 0.5373629332, other_time: 19.0864257813
epoch time: 85.8749847412s, input_fired_time: 1.1640025377, output_fired_time: 0.0000000000, propagate_forward_time: 80.9809646606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7300186157
validation[          , genome  6406] predictions:    5924/  10000 (59.24%), best:    5861/10000 (58.61%), error:     12916.66211, best error:     12844.98242 on epoch:    16, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1057.3107910156s, input_fired_time: 9.8367080688, output_fired_time: 6.7301917076, propagate_forward_time: 406.1680297852, propagate_backward_time: 614.6693115234, weight_update_time: 0.5233229995, other_time: 19.9065551758
epoch time: 82.7536392212s, input_fired_time: 1.1307579279, output_fired_time: 0.0000000000, propagate_forward_time: 77.8249893188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7978897095
validation[          , genome  6406] predictions:    5992/  10000 (59.92%), best:    5992/10000 (59.92%), error:     12350.10645, best error:     12350.10645 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1030.8291015625s, input_fired_time: 9.7503156662, output_fired_time: 6.7013082504, propagate_forward_time: 392.1220703125, propagate_backward_time: 602.2326660156, weight_update_time: 0.5202370286, other_time: 20.0227661133
epoch time: 71.6170043945s, input_fired_time: 1.0557799339, output_fired_time: 0.0000000000, propagate_forward_time: 66.5377349854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0234909058
validation[          , genome  6406] predictions:    5850/  10000 (58.50%), best:    5992/10000 (59.92%), error:     12660.91113, best error:     12350.10645 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 913.7503662109s, input_fired_time: 9.3655719757, output_fired_time: 5.8635492325, propagate_forward_time: 341.0691223145, propagate_backward_time: 536.9874267578, weight_update_time: 0.4825417995, other_time: 20.4647216797
epoch time: 73.8649902344s, input_fired_time: 1.1076776981, output_fired_time: 0.0000000000, propagate_forward_time: 69.0167922974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7405166626
validation[          , genome  6406] predictions:    5911/  10000 (59.11%), best:    5992/10000 (59.92%), error:     12718.50488, best error:     12350.10645 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1443.9431152344s, input_fired_time: 12.2348623276, output_fired_time: 9.7889261246, propagate_forward_time: 565.0230712891, propagate_backward_time: 840.0260009766, weight_update_time: 0.7474048734, other_time: 16.8702392578
epoch time: 130.9666900635s, input_fired_time: 1.6219487190, output_fired_time: 0.0000000000, propagate_forward_time: 126.3673553467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9773864746
validation[          , genome  6406] predictions:    5999/  10000 (59.99%), best:    5992/10000 (59.92%), error:     12779.74023, best error:     12350.10645 on epoch:    34, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1604.4539794922s, input_fired_time: 13.0989274979, output_fired_time: 10.8673019409, propagate_forward_time: 638.3348999023, propagate_backward_time: 926.0084228516, weight_update_time: 0.7867597342, other_time: 16.1444702148
epoch time: 131.3679962158s, input_fired_time: 1.5853815079, output_fired_time: 0.0000000000, propagate_forward_time: 126.8489685059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9336395264
validation[          , genome  6406] predictions:    5877/  10000 (58.77%), best:    5992/10000 (59.92%), error:     13114.14844, best error:     12350.10645 on epoch:    34, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1548.0164794922s, input_fired_time: 12.4967384338, output_fired_time: 10.3526878357, propagate_forward_time: 618.7816162109, propagate_backward_time: 890.0117797852, weight_update_time: 0.7359513044, other_time: 16.3737182617
epoch time: 122.9731903076s, input_fired_time: 1.5007437468, output_fired_time: 0.0000000000, propagate_forward_time: 118.4562530518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0161972046
validation[          , genome  6406] predictions:    5902/  10000 (59.02%), best:    5992/10000 (59.92%), error:     12885.53418, best error:     12350.10645 on epoch:    34, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_175_6406_1_r1979139237_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: 0.927029
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0016064
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.4256e-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: 40
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5992
read best_validation_error: 12350.1
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6406
read normal distribution: '0 -0.409504324197769 -0.401813328266144'
generator_str: '907501601'
read generator: 907501601
read generated_by_map:
1 split_edge 1
reading 90 nodes.
reading 349 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: 1425.74035644531s, input_fired_time: 11.7985992431641, output_fired_time: 9.54590034484863, propagate_forward_time: 561.614929199219, propagate_backward_time: 825.928039550781, weight_update_time: 0.744872033596039, other_time: 16.8529052734375
epoch time: 114.885536193848s, input_fired_time: 1.46930265426636, output_fired_time: 0, propagate_forward_time: 110.278129577637, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.13810729980469
validation[          , genome  6406] predictions:    6048/  10000 (60.48%), best:    6048/10000 (60.48%), error:     12121.37500, best error:     12121.37500 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1238.5446777344s, input_fired_time: 10.8622102737, output_fired_time: 8.2610521317, propagate_forward_time: 480.5740356445, propagate_backward_time: 721.3788452148, weight_update_time: 0.6618420482, other_time: 17.4685058594
epoch time: 97.5110244751s, input_fired_time: 1.3134013414, output_fired_time: 0.0000000000, propagate_forward_time: 92.8660354614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3315887451
validation[          , genome  6406] predictions:    6028/  10000 (60.28%), best:    6048/10000 (60.48%), error:     12424.51367, best error:     12121.37500 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1041.4007568359s, input_fired_time: 9.9041585922, output_fired_time: 6.9142374992, propagate_forward_time: 393.5775451660, propagate_backward_time: 612.9970092773, weight_update_time: 0.5819159746, other_time: 18.0078735352
epoch time: 73.9759063721s, input_fired_time: 1.1280040741, output_fired_time: 0.0000000000, propagate_forward_time: 69.3747024536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4731979370
validation[          , genome  6406] predictions:    6027/  10000 (60.27%), best:    6048/10000 (60.48%), error:     12240.87305, best error:     12121.37500 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 923.9296875000s, input_fired_time: 9.3461828232, output_fired_time: 6.0431923866, propagate_forward_time: 341.9096069336, propagate_backward_time: 547.6458129883, weight_update_time: 0.5381489992, other_time: 18.9848632813
epoch time: 70.4679718018s, input_fired_time: 1.0985356569, output_fired_time: 0.0000000000, propagate_forward_time: 65.5666427612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8027954102
validation[          , genome  6406] predictions:    6118/  10000 (61.18%), best:    6048/10000 (60.48%), error:     12171.79785, best error:     12121.37500 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 889.7884521484s, input_fired_time: 9.2097673416, output_fired_time: 5.8293986320, propagate_forward_time: 328.7547302246, propagate_backward_time: 526.1879272461, weight_update_time: 0.5226083994, other_time: 19.8065795898
epoch time: 69.5734100342s, input_fired_time: 1.0954978466, output_fired_time: 0.0000000000, propagate_forward_time: 64.6801605225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7977523804
validation[          , genome  6406] predictions:    6054/  10000 (60.54%), best:    6054/10000 (60.54%), error:     11847.93457, best error:     11847.93457 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 885.2163085938s, input_fired_time: 9.1909198761, output_fired_time: 5.8054189682, propagate_forward_time: 326.1392517090, propagate_backward_time: 524.0933837891, weight_update_time: 0.5176929235, other_time: 19.9873046875
epoch time: 70.3673324585s, input_fired_time: 1.1043244600, output_fired_time: 0.0000000000, propagate_forward_time: 65.4590454102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8039627075
validation[          , genome  6406] predictions:    6013/  10000 (60.13%), best:    6054/10000 (60.54%), error:     12342.87012, best error:     11847.93457 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 885.6607055664s, input_fired_time: 9.1874580383, output_fired_time: 5.7963380814, propagate_forward_time: 327.6229858398, propagate_backward_time: 523.2661743164, weight_update_time: 0.5240471959, other_time: 19.7877807617
epoch time: 68.7947158813s, input_fired_time: 1.0907918215, output_fired_time: 0.0000000000, propagate_forward_time: 63.8789672852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8249588013
validation[          , genome  6406] predictions:    5935/  10000 (59.35%), best:    6054/10000 (60.54%), error:     12705.96777, best error:     11847.93457 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 881.5383911133s, input_fired_time: 9.1652059555, output_fired_time: 5.7021236420, propagate_forward_time: 327.8679504395, propagate_backward_time: 517.9469604492, weight_update_time: 0.5063681006, other_time: 20.8561401367
epoch time: 69.0956649780s, input_fired_time: 1.0833477974, output_fired_time: 0.0000000000, propagate_forward_time: 63.8817672729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1305465698
validation[          , genome  6406] predictions:    5901/  10000 (59.01%), best:    6054/10000 (60.54%), error:     12650.25781, best error:     11847.93457 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 880.8938598633s, input_fired_time: 9.1739406586, output_fired_time: 5.6894187927, propagate_forward_time: 328.9918518066, propagate_backward_time: 516.0417480469, weight_update_time: 0.5026243925, other_time: 20.9969482422
epoch time: 69.9508895874s, input_fired_time: 1.1025719643, output_fired_time: 0.0000000000, propagate_forward_time: 64.8134765625, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0348434448
validation[          , genome  6406] predictions:    6218/  10000 (62.18%), best:    6218/10000 (62.18%), error:     11651.10547, best error:     11651.10547 on epoch:    48, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 879.7067260742s, input_fired_time: 9.1626443863, output_fired_time: 5.6336965561, propagate_forward_time: 330.3369750977, propagate_backward_time: 513.0745239258, weight_update_time: 0.4946758747, other_time: 21.4989013672
epoch time: 69.4452896118s, input_fired_time: 1.0916430950, output_fired_time: 0.0000000000, propagate_forward_time: 64.0911788940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2624664307
validation[          , genome  6406] predictions:    5971/  10000 (59.71%), best:    6218/10000 (62.18%), error:     12561.30664, best error:     11651.10547 on epoch:    48, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 873.9266357422s, input_fired_time: 9.1474857330, output_fired_time: 5.6322383881, propagate_forward_time: 325.1212463379, propagate_backward_time: 512.5752563477, weight_update_time: 0.4934431016, other_time: 21.4503784180
epoch time: 69.7212219238s, input_fired_time: 1.0996667147, output_fired_time: 0.0000000000, propagate_forward_time: 64.3622665405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2592849731
validation[          , genome  6406] predictions:    6158/  10000 (61.58%), best:    6218/10000 (62.18%), error:     12282.87012, best error:     11651.10547 on epoch:    48, 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: 340.6904907227s, input_fired_time: 5.4756488800, output_fired_time: 0.0000000000, propagate_forward_time: 313.8947448730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 21.3200988770
best training[          , genome  6406] predictions:   38345/  50000 (76.69%), best:    6218/10000 (62.18%), error:     33734.12109, best error:     11651.10547 on epoch:    48, 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: 66.8727340698s, input_fired_time: 1.0926978588, output_fired_time: 0.0000000000, propagate_forward_time: 61.5193099976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2607269287
   testing[          , genome  6406] predictions:    6218/  10000 (62.18%), best:    6218/10000 (62.18%), error:     11651.10547, best error:     11651.10547 on epoch:    48, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
23:35:40 (20216): called boinc_finish(0)

</stderr_txt>
]]>