Nameexact_genome_1542531604_177_6236_2
Workunit4097035
Created18 Nov 2018, 10:57:27 UTC
Sent18 Nov 2018, 11:38:51 UTC
Report deadline8 Jan 2019, 2:17:00 UTC
Received20 Nov 2018, 3:11:15 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time20 hours 8 min 9 sec
CPU time19 hours 57 min 39 sec
Validate stateValid
Credit12,652.46
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.09 MB
Peak swap size521.43 MB
Peak disk usage12.12 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
neration_id: 6236
read normal distribution: '1 0 0'
generator_str: '1244473479'
read generator: 1244473479
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236_2_r1376421962_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.547775
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0112813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00045125
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 2
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 5058
read best_validation_error: 16851.4
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: 6236
read normal distribution: '1 0 0'
generator_str: '1244473479'
read generator: 1244473479
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 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: 1604.08715820313s, input_fired_time: 275.977355957031, output_fired_time: 9.82316780090332, propagate_forward_time: 486.610412597656, propagate_backward_time: 816.95166015625, weight_update_time: 1.5039074420929, other_time: 14.7246704101563
epoch time: 100.195182800293s, input_fired_time: 1.41816115379333, output_fired_time: 0, propagate_forward_time: 96.2752151489258, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.50180816650391
validation[          , genome  6236] predictions:    5104/  10000 (51.04%), best:    5104/10000 (51.04%), error:     15989.28125, best error:     15989.28125 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1286.4587402344s, input_fired_time: 12.2804908752, output_fired_time: 9.9047012329, propagate_forward_time: 464.6909179688, propagate_backward_time: 785.9528198242, weight_update_time: 1.3597089052, other_time: 13.6298217773
epoch time: 98.9903182983s, input_fired_time: 1.3759295940, output_fired_time: 0.0000000000, propagate_forward_time: 93.9794845581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6349029541
validation[          , genome  6236] predictions:    4352/  10000 (43.52%), best:    5104/10000 (51.04%), error:     22222.38867, best error:     15989.28125 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1277.0814208984s, input_fired_time: 12.0980825424, output_fired_time: 9.7601938248, propagate_forward_time: 461.7755432129, propagate_backward_time: 779.1384887695, weight_update_time: 1.4417290688, other_time: 14.3091430664
epoch time: 97.8196258545s, input_fired_time: 1.3781074286, output_fired_time: 0.0000000000, propagate_forward_time: 93.8914947510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5500259399
validation[          , genome  6236] predictions:    5126/  10000 (51.26%), best:    5126/10000 (51.26%), error:     15988.40820, best error:     15988.40820 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1294.2960205078s, input_fired_time: 12.1511688232, output_fired_time: 9.8518943787, propagate_forward_time: 465.9809875488, propagate_backward_time: 791.8284301758, weight_update_time: 1.4435669184, other_time: 14.4835815430
epoch time: 95.8925933838s, input_fired_time: 1.3683286905, output_fired_time: 0.0000000000, propagate_forward_time: 92.0106201172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5136413574
validation[          , genome  6236] predictions:    5163/  10000 (51.63%), best:    5163/10000 (51.63%), error:     15215.14551, best error:     15215.14551 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1275.3843994141s, input_fired_time: 12.0206861496, output_fired_time: 9.7310400009, propagate_forward_time: 460.9377746582, propagate_backward_time: 778.2858276367, weight_update_time: 1.4403076172, other_time: 14.4091186523
epoch time: 96.1196823120s, input_fired_time: 1.3698475361, output_fired_time: 0.0000000000, propagate_forward_time: 92.2432174683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5066146851
validation[          , genome  6236] predictions:    5436/  10000 (54.36%), best:    5436/10000 (54.36%), error:     14255.10840, best error:     14255.10840 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1288.1427001953s, input_fired_time: 12.1224994659, output_fired_time: 9.8543157578, propagate_forward_time: 468.9652099609, propagate_backward_time: 782.8518066406, weight_update_time: 1.4421713352, other_time: 14.3487548828
epoch time: 97.0098571777s, input_fired_time: 1.3548084497, output_fired_time: 0.0000000000, propagate_forward_time: 93.1647491455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4903030396
validation[          , genome  6236] predictions:    5311/  10000 (53.11%), best:    5436/10000 (54.36%), error:     14944.53418, best error:     14255.10840 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1271.1029052734s, input_fired_time: 11.9796094894, output_fired_time: 9.7396774292, propagate_forward_time: 458.4351196289, propagate_backward_time: 776.8024291992, weight_update_time: 1.4290463924, other_time: 14.1461181641
epoch time: 95.8551177979s, input_fired_time: 1.3654721975, output_fired_time: 0.0000000000, propagate_forward_time: 91.9835433960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5061035156
validation[          , genome  6236] predictions:    5423/  10000 (54.23%), best:    5423/10000 (54.23%), error:     14036.71680, best error:     14036.71680 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1278.1116943359s, input_fired_time: 12.0110034943, output_fired_time: 9.7513618469, propagate_forward_time: 459.7607421875, propagate_backward_time: 782.3373413086, weight_update_time: 1.4387590885, other_time: 14.2512817383
epoch time: 95.0692443848s, input_fired_time: 1.3533099890, output_fired_time: 0.0000000000, propagate_forward_time: 91.2207794189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4951553345
validation[          , genome  6236] predictions:    5378/  10000 (53.78%), best:    5423/10000 (54.23%), error:     14659.18848, best error:     14036.71680 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1298.8138427734s, input_fired_time: 12.2438602448, output_fired_time: 9.9485006332, propagate_forward_time: 468.8379516602, propagate_backward_time: 793.2283325195, weight_update_time: 1.4490128756, other_time: 14.5551757813
epoch time: 100.2999496460s, input_fired_time: 1.4391257763, output_fired_time: 0.0000000000, propagate_forward_time: 96.2106552124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6501693726
validation[          , genome  6236] predictions:    5554/  10000 (55.54%), best:    5554/10000 (55.54%), error:     13563.79004, best error:     13563.79004 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1333.4541015625s, input_fired_time: 12.7038164139, output_fired_time: 11.1240291595, propagate_forward_time: 479.8523864746, propagate_backward_time: 814.9199218750, weight_update_time: 1.5001199245, other_time: 14.8538818359
epoch time: 100.5560455322s, input_fired_time: 1.4243279696, output_fired_time: 0.0000000000, propagate_forward_time: 96.4978103638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6339035034
validation[          , genome  6236] predictions:    5366/  10000 (53.66%), best:    5554/10000 (55.54%), error:     14680.40430, best error:     13563.79004 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236_2_r1376421962_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.725224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0067545
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00027018
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 12
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 10
read number_validation_images: 10000
read best_validation_predictions: 5554
read best_validation_error: 13563.8
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6236
read normal distribution: '1 0 0'
generator_str: '881851776'
read generator: 881851776
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236_2_r1376421962_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.725224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0067545
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00027018
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 12
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 10
read number_validation_images: 10000
read best_validation_predictions: 5554
read best_validation_error: 13563.8
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6236
read normal distribution: '1 0 0'
generator_str: '881851776'
read generator: 881851776
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 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: 1300.79309082031s, input_fired_time: 12.2570390701294, output_fired_time: 9.94383907318115, propagate_forward_time: 468.271575927734, propagate_backward_time: 795.701782226563, weight_update_time: 1.46071767807007, other_time: 14.6187744140625
epoch time: 102.103172302246s, input_fired_time: 1.45657765865326, output_fired_time: 0, propagate_forward_time: 97.9159774780273, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.73061370849609
validation[          , genome  6236] predictions:    5384/  10000 (53.84%), best:    5554/10000 (55.54%), error:     14536.14941, best error:     13563.79004 on epoch:    10, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1345.9150390625s, input_fired_time: 12.7488298416, output_fired_time: 10.2399845123, propagate_forward_time: 486.1795043945, propagate_backward_time: 821.5872802734, weight_update_time: 1.5597403049, other_time: 15.1594848633
epoch time: 101.2386474609s, input_fired_time: 1.4306938648, output_fired_time: 0.0000000000, propagate_forward_time: 97.1236877441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6842651367
validation[          , genome  6236] predictions:    5701/  10000 (57.01%), best:    5701/10000 (57.01%), error:     13275.38086, best error:     13275.38086 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1350.3243408203s, input_fired_time: 12.8143959045, output_fired_time: 10.2948579788, propagate_forward_time: 492.0470581055, propagate_backward_time: 820.4783935547, weight_update_time: 1.5005631447, other_time: 14.6896362305
epoch time: 100.7015533447s, input_fired_time: 1.4328161478, output_fired_time: 0.0000000000, propagate_forward_time: 96.7064819336, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5622558594
validation[          , genome  6236] predictions:    5365/  10000 (53.65%), best:    5701/10000 (57.01%), error:     14502.77344, best error:     13275.38086 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1436.7823486328s, input_fired_time: 12.7214012146, output_fired_time: 10.3088207245, propagate_forward_time: 484.9899291992, propagate_backward_time: 913.9267578125, weight_update_time: 1.4821724892, other_time: 14.8353881836
epoch time: 102.2339096069s, input_fired_time: 1.4461063147, output_fired_time: 0.0000000000, propagate_forward_time: 98.1638031006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6240005493
validation[          , genome  6236] predictions:    5624/  10000 (56.24%), best:    5701/10000 (57.01%), error:     13838.84277, best error:     13275.38086 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1335.7292480469s, input_fired_time: 12.7183313370, output_fired_time: 11.2123508453, propagate_forward_time: 481.1866455078, propagate_backward_time: 815.8655395508, weight_update_time: 1.4930865765, other_time: 14.7462768555
epoch time: 100.6864395142s, input_fired_time: 1.4551850557, output_fired_time: 0.0000000000, propagate_forward_time: 96.6202239990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6110305786
validation[          , genome  6236] predictions:    5561/  10000 (55.61%), best:    5701/10000 (57.01%), error:     14002.49023, best error:     13275.38086 on epoch:    13, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1339.7097167969s, input_fired_time: 12.7151670456, output_fired_time: 10.2849292755, propagate_forward_time: 482.5323181152, propagate_backward_time: 819.4326782227, weight_update_time: 1.4988176823, other_time: 14.7445678711
epoch time: 100.8749084473s, input_fired_time: 1.4552149773, output_fired_time: 0.0000000000, propagate_forward_time: 96.8038558960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6158370972
validation[          , genome  6236] predictions:    5553/  10000 (55.53%), best:    5701/10000 (57.01%), error:     13862.12988, best error:     13275.38086 on epoch:    13, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1357.7158203125s, input_fired_time: 12.9059066772, output_fired_time: 10.4046182632, propagate_forward_time: 489.9895629883, propagate_backward_time: 830.1789550781, weight_update_time: 1.4370130301, other_time: 14.2367553711
epoch time: 102.0700607300s, input_fired_time: 1.4771764278, output_fired_time: 0.0000000000, propagate_forward_time: 97.9502029419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6426849365
validation[          , genome  6236] predictions:    5721/  10000 (57.21%), best:    5701/10000 (57.01%), error:     13573.34375, best error:     13275.38086 on epoch:    13, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1348.9289550781s, input_fired_time: 12.8780717850, output_fired_time: 10.3516798019, propagate_forward_time: 487.4469909668, propagate_backward_time: 823.1129760742, weight_update_time: 1.5296951532, other_time: 15.1392211914
epoch time: 101.5436477661s, input_fired_time: 1.4671587944, output_fired_time: 0.0000000000, propagate_forward_time: 97.4411697388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6353225708
validation[          , genome  6236] predictions:    5722/  10000 (57.22%), best:    5701/10000 (57.01%), error:     13718.76465, best error:     13275.38086 on epoch:    13, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1348.0305175781s, input_fired_time: 12.8603858948, output_fired_time: 10.3940982819, propagate_forward_time: 486.6965942383, propagate_backward_time: 823.0853271484, weight_update_time: 1.5157063007, other_time: 14.9942016602
epoch time: 101.1519165039s, input_fired_time: 1.4712458849, output_fired_time: 0.0000000000, propagate_forward_time: 97.0550308228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6256408691
validation[          , genome  6236] predictions:    5505/  10000 (55.05%), best:    5701/10000 (57.01%), error:     14451.47070, best error:     13275.38086 on epoch:    13, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1337.2687988281s, input_fired_time: 12.7597560883, output_fired_time: 10.2304687500, propagate_forward_time: 482.8424377441, propagate_backward_time: 816.5872192383, weight_update_time: 1.4973087311, other_time: 14.8489379883
epoch time: 99.5428390503s, input_fired_time: 1.4482612610, output_fired_time: 0.0000000000, propagate_forward_time: 95.4931716919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6014022827
validation[          , genome  6236] predictions:    5801/  10000 (58.01%), best:    5801/10000 (58.01%), error:     13038.63867, best error:     13038.63867 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1326.9926757813s, input_fired_time: 12.7255344391, output_fired_time: 10.1699256897, propagate_forward_time: 480.3970031738, propagate_backward_time: 808.8242797852, weight_update_time: 1.5002709627, other_time: 14.8759155273
epoch time: 100.5136337280s, input_fired_time: 1.4436877966, output_fired_time: 0.0000000000, propagate_forward_time: 96.2894515991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7804946899
validation[          , genome  6236] predictions:    5648/  10000 (56.48%), best:    5801/10000 (58.01%), error:     13876.69238, best error:     13038.63867 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1337.5131835938s, input_fired_time: 12.7285089493, output_fired_time: 10.2616691589, propagate_forward_time: 482.1309814453, propagate_backward_time: 818.0697631836, weight_update_time: 1.4205554724, other_time: 14.3222045898
epoch time: 99.9610900879s, input_fired_time: 1.4818259478, output_fired_time: 0.0000000000, propagate_forward_time: 95.8663635254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6128997803
validation[          , genome  6236] predictions:    5643/  10000 (56.43%), best:    5801/10000 (58.01%), error:     13814.07715, best error:     13038.63867 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1331.3504638672s, input_fired_time: 12.7576818466, output_fired_time: 10.2676324844, propagate_forward_time: 478.8539123535, propagate_backward_time: 815.5540771484, weight_update_time: 1.4134186506, other_time: 13.9172363281
epoch time: 99.1559753418s, input_fired_time: 1.4489411116, output_fired_time: 0.0000000000, propagate_forward_time: 95.1129684448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5940628052
validation[          , genome  6236] predictions:    5836/  10000 (58.36%), best:    5801/10000 (58.01%), error:     13149.04980, best error:     13038.63867 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1321.9859619141s, input_fired_time: 12.7083187103, output_fired_time: 10.1191558838, propagate_forward_time: 477.9958190918, propagate_backward_time: 806.3298950195, weight_update_time: 1.5002212524, other_time: 14.8327026367
epoch time: 99.5022506714s, input_fired_time: 1.4658607244, output_fired_time: 0.0000000000, propagate_forward_time: 95.4309921265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6054000854
validation[          , genome  6236] predictions:    5806/  10000 (58.06%), best:    5801/10000 (58.01%), error:     13069.95117, best error:     13038.63867 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1345.3715820313s, input_fired_time: 13.1330108643, output_fired_time: 10.2204933167, propagate_forward_time: 484.7713317871, propagate_backward_time: 822.7071533203, weight_update_time: 1.4455019236, other_time: 14.5395507813
epoch time: 102.6094436646s, input_fired_time: 1.4888626337, output_fired_time: 0.0000000000, propagate_forward_time: 98.5184173584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6021652222
validation[          , genome  6236] predictions:    5856/  10000 (58.56%), best:    5856/10000 (58.56%), error:     12790.79980, best error:     12790.79980 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1327.1884765625s, input_fired_time: 12.7868251801, output_fired_time: 10.1728038788, propagate_forward_time: 477.7112426758, propagate_backward_time: 811.9420776367, weight_update_time: 1.4719432592, other_time: 14.5754394531
epoch time: 99.7584152222s, input_fired_time: 1.4842205048, output_fired_time: 0.0000000000, propagate_forward_time: 95.6809310913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5932617188
validation[          , genome  6236] predictions:    5871/  10000 (58.71%), best:    5871/10000 (58.71%), error:     12558.65625, best error:     12558.65625 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1342.9571533203s, input_fired_time: 12.8339347839, output_fired_time: 10.2334976196, propagate_forward_time: 481.6559753418, propagate_backward_time: 824.6661376953, weight_update_time: 1.3619623184, other_time: 13.5675048828
epoch time: 100.4450378418s, input_fired_time: 1.4763116837, output_fired_time: 0.0000000000, propagate_forward_time: 96.3501434326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6185836792
validation[          , genome  6236] predictions:    5988/  10000 (59.88%), best:    5988/10000 (59.88%), error:     12340.25684, best error:     12340.25684 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1363.4592285156s, input_fired_time: 12.9456434250, output_fired_time: 10.3460245132, propagate_forward_time: 493.8805236816, propagate_backward_time: 831.0729980469, weight_update_time: 1.6098003387, other_time: 15.2139892578
epoch time: 101.8521347046s, input_fired_time: 1.5157527924, output_fired_time: 0.0000000000, propagate_forward_time: 97.7212600708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6151199341
validation[          , genome  6236] predictions:    5802/  10000 (58.02%), best:    5988/10000 (59.88%), error:     13046.44727, best error:     12340.25684 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1333.5860595703s, input_fired_time: 12.9013557434, output_fired_time: 10.2223806381, propagate_forward_time: 481.6426696777, propagate_backward_time: 813.9033813477, weight_update_time: 1.5081123114, other_time: 14.9161987305
epoch time: 100.6183853149s, input_fired_time: 1.4941377640, output_fired_time: 0.0000000000, propagate_forward_time: 96.4535140991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6707305908
validation[          , genome  6236] predictions:    5868/  10000 (58.68%), best:    5988/10000 (59.88%), error:     12799.57715, best error:     12340.25684 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1336.0415039063s, input_fired_time: 12.9504537582, output_fired_time: 10.2248535156, propagate_forward_time: 481.2614135742, propagate_backward_time: 816.8461914063, weight_update_time: 1.5140072107, other_time: 14.7586059570
epoch time: 101.3042984009s, input_fired_time: 1.5179485083, output_fired_time: 0.0000000000, propagate_forward_time: 97.1546096802, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6317367554
validation[          , genome  6236] predictions:    5876/  10000 (58.76%), best:    5988/10000 (59.88%), error:     13204.51367, best error:     12340.25684 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1347.4111328125s, input_fired_time: 13.1351022720, output_fired_time: 10.4213266373, propagate_forward_time: 485.6536865234, propagate_backward_time: 825.0256958008, weight_update_time: 1.3057652712, other_time: 13.1752319336
epoch time: 102.1429519653s, input_fired_time: 1.4945408106, output_fired_time: 0.0000000000, propagate_forward_time: 98.0881195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5602951050
validation[          , genome  6236] predictions:    5796/  10000 (57.96%), best:    5988/10000 (59.88%), error:     12980.05176, best error:     12340.25684 on epoch:    28, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1300.8688964844s, input_fired_time: 12.5508956909, output_fired_time: 9.9441194534, propagate_forward_time: 467.2869567871, propagate_backward_time: 797.0880126953, weight_update_time: 1.4014315605, other_time: 13.9989013672
epoch time: 91.9389724731s, input_fired_time: 1.3810540438, output_fired_time: 0.0000000000, propagate_forward_time: 88.1573333740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4005813599
validation[          , genome  6236] predictions:    5991/  10000 (59.91%), best:    5988/10000 (59.88%), error:     12796.63184, best error:     12340.25684 on epoch:    28, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1223.9348144531s, input_fired_time: 11.9085807800, output_fired_time: 9.4444026947, propagate_forward_time: 441.3536682129, propagate_backward_time: 747.8828735352, weight_update_time: 1.3330620527, other_time: 13.3452758789
epoch time: 92.2128601074s, input_fired_time: 1.3885532618, output_fired_time: 0.0000000000, propagate_forward_time: 88.3942031860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4301071167
validation[          , genome  6236] predictions:    5764/  10000 (57.64%), best:    5988/10000 (59.88%), error:     13461.78125, best error:     12340.25684 on epoch:    28, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1219.6694335938s, input_fired_time: 11.8833627701, output_fired_time: 9.4114360809, propagate_forward_time: 439.6062622070, propagate_backward_time: 745.5492553711, weight_update_time: 1.3226432800, other_time: 13.2191162109
epoch time: 92.1927108765s, input_fired_time: 1.3823915720, output_fired_time: 0.0000000000, propagate_forward_time: 88.4130783081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3972396851
validation[          , genome  6236] predictions:    5777/  10000 (57.77%), best:    5988/10000 (59.88%), error:     13651.77930, best error:     12340.25684 on epoch:    28, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1220.3104248047s, input_fired_time: 11.8896551132, output_fired_time: 9.4047727585, propagate_forward_time: 440.0100097656, propagate_backward_time: 745.7785644531, weight_update_time: 1.3248349428, other_time: 13.2274169922
epoch time: 92.1260070801s, input_fired_time: 1.3903479576, output_fired_time: 0.0000000000, propagate_forward_time: 88.3377456665, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3979110718
validation[          , genome  6236] predictions:    5998/  10000 (59.98%), best:    5988/10000 (59.88%), error:     12794.83008, best error:     12340.25684 on epoch:    28, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

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_1542531604_177_6236.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236_2_r1376421962_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-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: 37
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 28
read number_validation_images: 10000
read best_validation_predictions: 5988
read best_validation_error: 12340.3
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: 6236
read normal distribution: '1 0 0'
generator_str: '551617735'
read generator: 551617735
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_177_6236_2_r1376421962_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-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: 37
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 28
read number_validation_images: 10000
read best_validation_predictions: 5988
read best_validation_error: 12340.3
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: 6236
read normal distribution: '1 0 0'
generator_str: '551617735'
read generator: 551617735
read generated_by_map:
1 enable_edge 1
reading 100 nodes.
reading 396 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: 1165.85461425781s, input_fired_time: 11.3946495056152, output_fired_time: 8.968674659729, propagate_forward_time: 420.668212890625, propagate_backward_time: 711.8896484375, weight_update_time: 1.27228546142578, other_time: 12.9334716796875
epoch time: 90.5593948364258s, input_fired_time: 1.37228226661682, output_fired_time: 0, propagate_forward_time: 86.8144302368164, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.3726806640625
validation[          , genome  6236] predictions:    6085/  10000 (60.85%), best:    5988/10000 (59.88%), error:     12434.84473, best error:     12340.25684 on epoch:    28, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1234.8552246094s, input_fired_time: 12.0804090500, output_fired_time: 9.4989547729, propagate_forward_time: 445.9384155273, propagate_backward_time: 753.8612670898, weight_update_time: 1.3491293192, other_time: 13.4761962891
epoch time: 99.8160476685s, input_fired_time: 1.5103443861, output_fired_time: 0.0000000000, propagate_forward_time: 95.7324066162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5732955933
validation[          , genome  6236] predictions:    6124/  10000 (61.24%), best:    6124/10000 (61.24%), error:     12147.16016, best error:     12147.16016 on epoch:    38, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1320.2491455078s, input_fired_time: 12.8522205353, output_fired_time: 10.1226549149, propagate_forward_time: 474.7263793945, propagate_backward_time: 808.1558227539, weight_update_time: 1.4314310551, other_time: 14.3920898438
epoch time: 99.4278182983s, input_fired_time: 1.5050375462, output_fired_time: 0.0000000000, propagate_forward_time: 95.3083114624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6144714355
validation[          , genome  6236] predictions:    5979/  10000 (59.79%), best:    6124/10000 (61.24%), error:     12861.05469, best error:     12147.16016 on epoch:    38, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1325.6345214844s, input_fired_time: 12.8828802109, output_fired_time: 10.1413431168, propagate_forward_time: 482.1729431152, propagate_backward_time: 805.6597290039, weight_update_time: 1.4848818779, other_time: 14.7775268555
epoch time: 103.4965438843s, input_fired_time: 1.5023484230, output_fired_time: 0.0000000000, propagate_forward_time: 99.4009094238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5932846069
validation[          , genome  6236] predictions:    5982/  10000 (59.82%), best:    6124/10000 (61.24%), error:     12605.95215, best error:     12147.16016 on epoch:    38, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1401.5059814453s, input_fired_time: 15.4297924042, output_fired_time: 10.3376493454, propagate_forward_time: 489.0013732910, propagate_backward_time: 871.9611206055, weight_update_time: 1.4837462902, other_time: 14.7760620117
epoch time: 101.3314437866s, input_fired_time: 1.5232864618, output_fired_time: 0.0000000000, propagate_forward_time: 97.0821456909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7260131836
validation[          , genome  6236] predictions:    6108/  10000 (61.08%), best:    6124/10000 (61.24%), error:     12245.24512, best error:     12147.16016 on epoch:    38, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1305.7473144531s, input_fired_time: 12.8123998642, output_fired_time: 10.0489778519, propagate_forward_time: 470.0830078125, propagate_backward_time: 798.2650756836, weight_update_time: 1.4577541351, other_time: 14.5379028320
epoch time: 98.9990997314s, input_fired_time: 1.4957636595, output_fired_time: 0.0000000000, propagate_forward_time: 94.8284759521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6748580933
validation[          , genome  6236] predictions:    6113/  10000 (61.13%), best:    6124/10000 (61.24%), error:     12453.76465, best error:     12147.16016 on epoch:    38, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1311.3956298828s, input_fired_time: 12.9680528641, output_fired_time: 10.0896139145, propagate_forward_time: 471.8599548340, propagate_backward_time: 802.1166381836, weight_update_time: 1.4246275425, other_time: 14.3613891602
epoch time: 99.8111495972s, input_fired_time: 1.5145652294, output_fired_time: 0.0000000000, propagate_forward_time: 95.7037506104, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5928344727
validation[          , genome  6236] predictions:    5995/  10000 (59.95%), best:    6124/10000 (61.24%), error:     12839.00098, best error:     12147.16016 on epoch:    38, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1312.0133056641s, input_fired_time: 12.8035192490, output_fired_time: 10.0213747025, propagate_forward_time: 470.5045166016, propagate_backward_time: 804.2214355469, weight_update_time: 1.4427974224, other_time: 14.4625244141
epoch time: 97.9037017822s, input_fired_time: 1.4979236126, output_fired_time: 0.0000000000, propagate_forward_time: 93.8500442505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5557327271
validation[          , genome  6236] predictions:    6002/  10000 (60.02%), best:    6124/10000 (61.24%), error:     12497.14844, best error:     12147.16016 on epoch:    38, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1322.5812988281s, input_fired_time: 12.8762416840, output_fired_time: 11.0729179382, propagate_forward_time: 474.4118041992, propagate_backward_time: 809.7928466797, weight_update_time: 1.4436641932, other_time: 14.4275512695
epoch time: 98.9159851074s, input_fired_time: 1.4946655035, output_fired_time: 0.0000000000, propagate_forward_time: 94.7408447266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6804733276
validation[          , genome  6236] predictions:    6061/  10000 (60.61%), best:    6124/10000 (61.24%), error:     12369.00293, best error:     12147.16016 on epoch:    38, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1311.3408203125s, input_fired_time: 12.8675165176, output_fired_time: 10.0423316956, propagate_forward_time: 471.6129150391, propagate_backward_time: 801.9946289063, weight_update_time: 1.4668297768, other_time: 14.8233642578
epoch time: 98.1341857910s, input_fired_time: 1.5041091442, output_fired_time: 0.0000000000, propagate_forward_time: 94.0483245850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5817489624
validation[          , genome  6236] predictions:    6167/  10000 (61.67%), best:    6167/10000 (61.67%), error:     11900.26074, best error:     11900.26074 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1300.2617187500s, input_fired_time: 12.7421751022, output_fired_time: 9.9637308121, propagate_forward_time: 468.3619995117, propagate_backward_time: 794.6174316406, weight_update_time: 1.4619374275, other_time: 14.5763549805
epoch time: 97.9504318237s, input_fired_time: 1.5097750425, output_fired_time: 0.0000000000, propagate_forward_time: 93.8608474731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5798110962
validation[          , genome  6236] predictions:    6202/  10000 (62.02%), best:    6167/10000 (61.67%), error:     11994.96387, best error:     11900.26074 on epoch:    46, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1295.4199218750s, input_fired_time: 12.7482891083, output_fired_time: 9.9653339386, propagate_forward_time: 466.3009033203, propagate_backward_time: 792.0381469727, weight_update_time: 1.4388996363, other_time: 14.3672485352
epoch time: 100.0907363892s, input_fired_time: 1.5703021288, output_fired_time: 0.0000000000, propagate_forward_time: 95.8885040283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6319274902
validation[          , genome  6236] predictions:    6081/  10000 (60.81%), best:    6167/10000 (61.67%), error:     12579.35840, best error:     11900.26074 on epoch:    46, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1307.1721191406s, input_fired_time: 12.7752017975, output_fired_time: 10.0201482773, propagate_forward_time: 466.8928527832, propagate_backward_time: 803.7403564453, weight_update_time: 1.3576093912, other_time: 13.7436523438
epoch time: 98.2483139038s, input_fired_time: 1.5797926188, output_fired_time: 0.0000000000, propagate_forward_time: 94.1197814941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5487365723
validation[          , genome  6236] predictions:    6182/  10000 (61.82%), best:    6167/10000 (61.67%), error:     12054.52344, best error:     11900.26074 on epoch:    46, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1287.4564208984s, input_fired_time: 12.7202825546, output_fired_time: 9.8842735291, propagate_forward_time: 463.7362060547, propagate_backward_time: 786.4944458008, weight_update_time: 1.4686452150, other_time: 14.6211547852
epoch time: 97.3084945679s, input_fired_time: 1.5062396526, output_fired_time: 0.0000000000, propagate_forward_time: 93.2415924072, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5606613159
validation[          , genome  6236] predictions:    6058/  10000 (60.58%), best:    6167/10000 (61.67%), error:     12575.35254, best error:     11900.26074 on epoch:    46, 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: 489.9474182129s, input_fired_time: 7.4824666977, output_fired_time: 0.0000000000, propagate_forward_time: 469.4077453613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.0572204590
best training[          , genome  6236] predictions:   37666/  50000 (75.33%), best:    6167/10000 (61.67%), error:     35847.07031, best error:     11900.26074 on epoch:    46, 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: 97.5388107300s, input_fired_time: 1.6018198729, output_fired_time: 0.0000000000, propagate_forward_time: 93.3741531372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5628356934
   testing[          , genome  6236] predictions:    6167/  10000 (61.67%), best:    6167/10000 (61.67%), error:     11900.26074, best error:     11900.26074 on epoch:    46, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
13:09:47 (6456): called boinc_finish(0)

</stderr_txt>
]]>