Nameexact_genome_1542277804_173_5983_2
Workunit4090847
Created18 Nov 2018, 6:52:54 UTC
Sent18 Nov 2018, 7:18:40 UTC
Report deadline23 Dec 2018, 12:41:40 UTC
Received21 Nov 2018, 1:08:34 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87086
Run time18 hours 18 min 15 sec
CPU time16 hours 38 min 31 sec
Validate stateValid
Credit8,806.08
Device peak FLOPS3.41 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size582.70 MB
Peak swap size581.39 MB
Peak disk usage12.96 MB

Stderr output

<core_client_version>7.6.33</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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.543416
read mu: 0.543416
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.00182265
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000361656
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1764113616'
read generator: 1764113616
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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: 1298313630
post shuffle 1: 1804632905
epoch time: 4968.68896484375s, input_fired_time: 68.6623916625977, output_fired_time: 34.5404968261719, propagate_forward_time: 1941.89416503906, propagate_backward_time: 2857.13037109375, weight_update_time: 0.463473677635193, other_time: 66.46142578125
epoch time: 426.003021240234s, input_fired_time: 4.72803020477295, output_fired_time: 0, propagate_forward_time: 388.802825927734, propagate_backward_time: 0, weight_update_time: 0, other_time: 32.47216796875
validation[          , genome  5983] predictions:    5728/  10000 (57.28%), best:    5728/10000 (57.28%), error:     12363.97363, best error:     12363.97363 on epoch:     0, epoch:    0/25, mu: 0.5434156656, learning_rate: 0.0018226462, weight_decay: 0.0003616558

epoch time: 5548.4951171875s, input_fired_time: 64.4686355591, output_fired_time: 33.3250045776, propagate_forward_time: 1953.8618164063, propagate_backward_time: 2847.6533203125, weight_update_time: 3.4963002205, other_time: 649.1860351563
epoch time: 448.2919311523s, input_fired_time: 7.7143406868, output_fired_time: 0.0000000000, propagate_forward_time: 366.5017089844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 74.0758666992
validation[          , genome  5983] predictions:    5729/  10000 (57.29%), best:    5729/10000 (57.29%), error:     12281.96875, best error:     12281.96875 on epoch:     1, epoch:    1/25, mu: 0.5598703027, learning_rate: 0.0016708530, weight_decay: 0.0003325480

epoch time: 5536.4887695313s, input_fired_time: 59.7533226013, output_fired_time: 28.5754337311, propagate_forward_time: 1923.9443359375, propagate_backward_time: 2801.3254394531, weight_update_time: 1.9568598270, other_time: 722.8903808594
epoch time: 439.5128479004s, input_fired_time: 6.3107094765, output_fired_time: 0.0000000000, propagate_forward_time: 398.5993041992, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 34.6028442383
validation[          , genome  5983] predictions:    5366/  10000 (53.66%), best:    5729/10000 (57.29%), error:     13446.42578, best error:     12281.96875 on epoch:     1, epoch:    2/25, mu: 0.5757186413, learning_rate: 0.0015317013, weight_decay: 0.0003057829

epoch time: 5332.1503906250s, input_fired_time: 70.8513946533, output_fired_time: 31.7443313599, propagate_forward_time: 1951.2564697266, propagate_backward_time: 2849.2683105469, weight_update_time: 0.4663838446, other_time: 429.0300292969
epoch time: 428.4060974121s, input_fired_time: 6.2923688889, output_fired_time: 0.0000000000, propagate_forward_time: 386.3077697754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 35.8059692383
validation[          , genome  5983] predictions:    5869/  10000 (58.69%), best:    5869/10000 (58.69%), error:     11736.18555, best error:     11736.18555 on epoch:     3, epoch:    3/25, mu: 0.5909830332, learning_rate: 0.0014041384, weight_decay: 0.0002811719

epoch time: 5391.2568359375s, input_fired_time: 64.2461624146, output_fired_time: 37.8218803406, propagate_forward_time: 1980.6290283203, propagate_backward_time: 2888.5476074219, weight_update_time: 1.9733918905, other_time: 420.0124511719
epoch time: 414.9748535156s, input_fired_time: 1.7737687826, output_fired_time: 0.0000000000, propagate_forward_time: 392.0135498047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 21.1875305176
validation[          , genome  5983] predictions:    5738/  10000 (57.38%), best:    5869/10000 (58.69%), error:     12413.90430, best error:     11736.18555 on epoch:     3, epoch:    4/25, mu: 0.6056849957, learning_rate: 0.0012871992, weight_decay: 0.0002585418

epoch time: 5886.2441406250s, input_fired_time: 58.7308998108, output_fired_time: 27.8536510468, propagate_forward_time: 1996.4758300781, propagate_backward_time: 2923.3154296875, weight_update_time: 0.5153845549, other_time: 879.8684082031
epoch time: 433.0617065430s, input_fired_time: 6.2859592438, output_fired_time: 0.0000000000, propagate_forward_time: 380.9832153320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 45.7925415039
validation[          , genome  5983] predictions:    4554/  10000 (45.54%), best:    5869/10000 (58.69%), error:     19207.32813, best error:     11736.18555 on epoch:     3, epoch:    5/25, mu: 0.6198452711, learning_rate: 0.0011799990, weight_decay: 0.0002377331

epoch time: 5380.4331054688s, input_fired_time: 49.1997604370, output_fired_time: 31.8400764465, propagate_forward_time: 1983.8732910156, propagate_backward_time: 2852.5061035156, weight_update_time: 1.9658731222, other_time: 463.0141601563
epoch time: 437.0752868652s, input_fired_time: 6.8293128014, output_fired_time: 0.0000000000, propagate_forward_time: 394.2385253906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 36.0074462891
validation[          , genome  5983] predictions:    5400/  10000 (54.00%), best:    5869/10000 (58.69%), error:     13754.60059, best error:     11736.18555 on epoch:     3, epoch:    6/25, mu: 0.6334838271, learning_rate: 0.0010817265, weight_decay: 0.0002185991

epoch time: 5633.6684570313s, input_fired_time: 61.5169792175, output_fired_time: 29.7435588837, propagate_forward_time: 1986.6986083984, propagate_backward_time: 2903.9331054688, weight_update_time: 0.4815664291, other_time: 651.7758789063
epoch time: 497.7301940918s, input_fired_time: 6.4501166344, output_fired_time: 0.0000000000, propagate_forward_time: 422.3265686035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 68.9535217285
validation[          , genome  5983] predictions:    6006/  10000 (60.06%), best:    6006/10000 (60.06%), error:     11623.63672, best error:     11623.63672 on epoch:     7, epoch:    7/25, mu: 0.6466198564, learning_rate: 0.0009916384, weight_decay: 0.0002010052

epoch time: 5770.8984375000s, input_fired_time: 71.7734451294, output_fired_time: 33.1224861145, propagate_forward_time: 1941.6210937500, propagate_backward_time: 2870.5214843750, weight_update_time: 2.7612104416, other_time: 853.8598632813
epoch time: 435.4644470215s, input_fired_time: 4.8016204834, output_fired_time: 0.0000000000, propagate_forward_time: 397.2384033203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 33.4244384766
validation[          , genome  5983] predictions:    5636/  10000 (56.36%), best:    6006/10000 (60.06%), error:     12640.82324, best error:     11623.63672 on epoch:     7, epoch:    8/25, mu: 0.6592718959, learning_rate: 0.0009090530, weight_decay: 0.0001848273

epoch time: 5961.6679687500s, input_fired_time: 57.1190834045, output_fired_time: 40.5846939087, propagate_forward_time: 1978.0563964844, propagate_backward_time: 2900.9931640625, weight_update_time: 0.4627354145, other_time: 984.9147949219
epoch time: 677.5427856445s, input_fired_time: 5.1167430878, output_fired_time: 0.0000000000, propagate_forward_time: 458.9775085449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 213.4485168457
validation[          , genome  5983] predictions:    6046/  10000 (60.46%), best:    6046/10000 (60.46%), error:     11545.67285, best error:     11545.67285 on epoch:     9, epoch:    9/25, mu: 0.6714577675, learning_rate: 0.0008333454, weight_decay: 0.0001699515

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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.683195
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000763943
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000156273
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 6046
read best_validation_error: 11545.7
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1480928648'
read generator: 1480928648
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.683195
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000763943
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000156273
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 6046
read best_validation_error: 11545.7
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1480928648'
read generator: 1480928648
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.683195
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000763943
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000156273
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 6046
read best_validation_error: 11545.7
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1480928648'
read generator: 1480928648
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.683195
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000763943
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000156273
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 6046
read best_validation_error: 11545.7
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1480928648'
read generator: 1480928648
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.683195
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000763943
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 0.000156273
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 10
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 9
read number_validation_images: 10000
read best_validation_predictions: 6046
read best_validation_error: 11545.7
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '1480928648'
read generator: 1480928648
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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: 5430.2392578125s, input_fired_time: 67.6484146118164, output_fired_time: 30.1661949157715, propagate_forward_time: 2151.82006835938, propagate_backward_time: 3127.68359375, weight_update_time: 0.516383826732635, other_time: 52.921142578125
epoch time: 470.319519042969s, input_fired_time: 3.57481980323792, output_fired_time: 0, propagate_forward_time: 460.343444824219, propagate_backward_time: 0, weight_update_time: 0, other_time: 6.4012451171875
validation[          , genome  5983] predictions:    5927/  10000 (59.27%), best:    6046/10000 (60.46%), error:     11734.33789, best error:     11545.67285 on epoch:     9, epoch:   10/25, mu: 0.6831946373, learning_rate: 0.0007639429, weight_decay: 0.0001562729

epoch time: 6593.0957031250s, input_fired_time: 82.3784332275, output_fired_time: 41.5301246643, propagate_forward_time: 2606.5212402344, propagate_backward_time: 3794.5678710938, weight_update_time: 0.6016117930, other_time: 68.0979003906
epoch time: 552.1907958984s, input_fired_time: 7.0789446831, output_fired_time: 0.0000000000, propagate_forward_time: 533.6759643555, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.4359130859
validation[          , genome  5983] predictions:    6118/  10000 (61.18%), best:    6118/10000 (61.18%), error:     11259.36719, best error:     11259.36719 on epoch:    11, epoch:   11/25, mu: 0.6944990158, learning_rate: 0.0007003204, weight_decay: 0.0001436953

epoch time: 5830.9956054688s, input_fired_time: 81.3340377808, output_fired_time: 37.1390571594, propagate_forward_time: 2335.2973632813, propagate_backward_time: 3304.5231933594, weight_update_time: 0.5340729356, other_time: 72.7019042969
epoch time: 412.7180175781s, input_fired_time: 6.3636026382, output_fired_time: 0.0000000000, propagate_forward_time: 397.3363037109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.0180969238
validation[          , genome  5983] predictions:    5743/  10000 (57.43%), best:    6118/10000 (61.18%), error:     12541.41016, best error:     11259.36719 on epoch:    11, epoch:   12/25, mu: 0.7053868771, learning_rate: 0.0006419964, weight_decay: 0.0001321300

epoch time: 5779.4858398438s, input_fired_time: 69.6123580933, output_fired_time: 33.6093482971, propagate_forward_time: 2279.3090820313, propagate_backward_time: 3357.2055664063, weight_update_time: 2.0421595573, other_time: 39.7495117188
epoch time: 422.9498291016s, input_fired_time: 7.9396400452, output_fired_time: 0.0000000000, propagate_forward_time: 407.4117431641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5984497070
validation[          , genome  5983] predictions:    6230/  10000 (62.30%), best:    6230/10000 (62.30%), error:     10964.58984, best error:     10964.58984 on epoch:    13, epoch:   13/25, mu: 0.7158735991, learning_rate: 0.0005885297, weight_decay: 0.0001214955

epoch time: 5943.6445312500s, input_fired_time: 62.5848312378, output_fired_time: 34.8565788269, propagate_forward_time: 2341.1989746094, propagate_backward_time: 3447.6342773438, weight_update_time: 5.0572166443, other_time: 57.3698730469
epoch time: 437.6573791504s, input_fired_time: 3.5188820362, output_fired_time: 0.0000000000, propagate_forward_time: 426.3480224609, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7904663086
validation[          , genome  5983] predictions:    6204/  10000 (62.04%), best:    6230/10000 (62.30%), error:     10971.75586, best error:     10964.58984 on epoch:    13, epoch:   14/25, mu: 0.7259739041, learning_rate: 0.0005395159, weight_decay: 0.0001117169

epoch time: 6448.0869140625s, input_fired_time: 75.7117080688, output_fired_time: 37.0547676086, propagate_forward_time: 2529.1015625000, propagate_backward_time: 3682.3449707031, weight_update_time: 2.1027135849, other_time: 123.8737792969
epoch time: 610.9738159180s, input_fired_time: 5.5553393364, output_fired_time: 0.0000000000, propagate_forward_time: 560.9904174805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 44.4280395508
validation[          , genome  5983] predictions:    6268/  10000 (62.68%), best:    6268/10000 (62.68%), error:     10729.35938, best error:     10729.35938 on epoch:    15, epoch:   15/25, mu: 0.7357020974, learning_rate: 0.0004945840, weight_decay: 0.0001027254

epoch time: 7908.5253906250s, input_fired_time: 70.9126663208, output_fired_time: 30.1066036224, propagate_forward_time: 2692.7287597656, propagate_backward_time: 3862.8889160156, weight_update_time: 2.1329703331, other_time: 1251.8884277344
epoch time: 516.2539062500s, input_fired_time: 6.9230389595, output_fired_time: 0.0000000000, propagate_forward_time: 443.1893920898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 66.1414794922
validation[          , genome  5983] predictions:    6089/  10000 (60.89%), best:    6268/10000 (62.68%), error:     11082.90527, best error:     10729.35938 on epoch:    15, epoch:   16/25, mu: 0.7450718284, learning_rate: 0.0004533942, weight_decay: 0.0000944575

epoch time: 9383.9013671875s, input_fired_time: 72.4978790283, output_fired_time: 36.4941177368, propagate_forward_time: 2409.9465332031, propagate_backward_time: 3558.7609863281, weight_update_time: 0.5628109574, other_time: 3306.2019042969
epoch time: 432.9911499023s, input_fired_time: 4.9726829529, output_fired_time: 0.0000000000, propagate_forward_time: 415.2593994141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.7590637207
validation[          , genome  5983] predictions:    6323/  10000 (63.23%), best:    6323/10000 (63.23%), error:     10624.86719, best error:     10624.86719 on epoch:    17, epoch:   17/25, mu: 0.7540963292, learning_rate: 0.0004156347, weight_decay: 0.0000868551

epoch time: 5364.0043945313s, input_fired_time: 62.4915885925, output_fired_time: 35.9112052917, propagate_forward_time: 2094.1333007813, propagate_backward_time: 3078.3513183594, weight_update_time: 2.0571732521, other_time: 93.1169433594
epoch time: 432.5774230957s, input_fired_time: 6.4854097366, output_fired_time: 0.0000000000, propagate_forward_time: 416.8121643066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.2798461914
validation[          , genome  5983] predictions:    6305/  10000 (63.05%), best:    6323/10000 (63.23%), error:     10641.29688, best error:     10624.86719 on epoch:    17, epoch:   18/25, mu: 0.7627882957, learning_rate: 0.0003810199, weight_decay: 0.0000798646

epoch time: 5345.6328125000s, input_fired_time: 78.0546951294, output_fired_time: 30.3280887604, propagate_forward_time: 2094.5637207031, propagate_backward_time: 3086.7592773438, weight_update_time: 0.5190786719, other_time: 55.9270019531
epoch time: 435.3769836426s, input_fired_time: 8.0946311951, output_fired_time: 0.0000000000, propagate_forward_time: 421.0581665039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2241821289
validation[          , genome  5983] predictions:    6422/  10000 (64.22%), best:    6422/10000 (64.22%), error:     10432.32715, best error:     10432.32715 on epoch:    19, epoch:   19/25, mu: 0.7711600065, learning_rate: 0.0003492878, weight_decay: 0.0000734367

epoch time: 5333.3056640625s, input_fired_time: 59.5303573608, output_fired_time: 30.0457744598, propagate_forward_time: 2125.4360351563, propagate_backward_time: 3071.5832519531, weight_update_time: 2.0077574253, other_time: 46.7102050781
epoch time: 432.2378845215s, input_fired_time: 4.9896721840, output_fired_time: 0.0000000000, propagate_forward_time: 416.5352478027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7129516602
validation[          , genome  5983] predictions:    6113/  10000 (61.13%), best:    6422/10000 (64.22%), error:     11146.94434, best error:     10432.32715 on epoch:    19, epoch:   20/25, mu: 0.7792232633, learning_rate: 0.0003201985, weight_decay: 0.0000675261

epoch time: 5352.1655273438s, input_fired_time: 56.8555679321, output_fired_time: 27.3512783051, propagate_forward_time: 2129.1250000000, propagate_backward_time: 3094.5693359375, weight_update_time: 2.0698339939, other_time: 44.2646484375
epoch time: 443.2450256348s, input_fired_time: 3.5083408356, output_fired_time: 0.0000000000, propagate_forward_time: 436.6101379395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1265563965
validation[          , genome  5983] predictions:    6389/  10000 (63.89%), best:    6422/10000 (64.22%), error:     10519.36035, best error:     10432.32715 on epoch:    19, epoch:   21/25, mu: 0.7869894505, learning_rate: 0.0002935318, weight_decay: 0.0000620913

epoch time: 5618.5683593750s, input_fired_time: 68.9421310425, output_fired_time: 29.6800689697, propagate_forward_time: 2196.1762695313, propagate_backward_time: 3261.6931152344, weight_update_time: 2.0143036842, other_time: 62.0769042969
epoch time: 485.7506103516s, input_fired_time: 6.6423883438, output_fired_time: 0.0000000000, propagate_forward_time: 471.2996520996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.8085632324
validation[          , genome  5983] predictions:    6254/  10000 (62.54%), best:    6422/10000 (64.22%), error:     10877.34766, best error:     10432.32715 on epoch:    19, epoch:   22/25, mu: 0.7944694757, learning_rate: 0.0002690860, weight_decay: 0.0000570939

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_1542277804_173_5983.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_173_5983_2_r1555810478_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: 0.543416
read mu: 0.801674
read mu_delta: 0.963154
read initial_learning_rate: 0.00182265
read learning_rate: 0.000246676
read learning_rate_delta: 0.916718
read initial_weight_decay: 0.000361656
read weight_decay: 5.24987e-05
read weight_decay_delta: 0.919515
read batch_size: 124
read epsilon: 1e-07
read alpha: 0.130789
read input_dropout_probability: 0.00162631
read hidden_dropout_probability: 0.0765417
read velocity_reset: 1838
read epoch: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 6422
read best_validation_error: 10432.3
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: 5983
read normal distribution: '1 0.618203222751617 -1.28266310691833'
generator_str: '826919165'
read generator: 826919165
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 412 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: 4946.52978515625s, input_fired_time: 69.7164916992188, output_fired_time: 25.5476188659668, propagate_forward_time: 1963.99243164063, propagate_backward_time: 2836.341796875, weight_update_time: 1.95311892032623, other_time: 50.931396484375
epoch time: 403.554016113281s, input_fired_time: 3.36419796943665, output_fired_time: 0, propagate_forward_time: 395.842193603516, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.34762573242188
validation[          , genome  5983] predictions:    6423/  10000 (64.23%), best:    6422/10000 (64.22%), error:     10456.66602, best error:     10432.32715 on epoch:    19, epoch:   23/25, mu: 0.8016738892, learning_rate: 0.0002466760, weight_decay: 0.0000524987

epoch time: 5047.5927734375s, input_fired_time: 70.5391769409, output_fired_time: 24.3961639404, propagate_forward_time: 1980.6815185547, propagate_backward_time: 2916.7880859375, weight_update_time: 1.9719648361, other_time: 55.1879882813
epoch time: 470.2853698730s, input_fired_time: 3.6368646622, output_fired_time: 0.0000000000, propagate_forward_time: 458.5715637207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0769348145
validation[          , genome  5983] predictions:    6449/  10000 (64.49%), best:    6449/10000 (64.49%), error:     10307.77637, best error:     10307.77637 on epoch:    24, epoch:   24/25, mu: 0.8086128831, learning_rate: 0.0002261324, weight_decay: 0.0000482733

epoch time: 5610.4003906250s, input_fired_time: 65.0322189331, output_fired_time: 38.3734283447, propagate_forward_time: 2230.0712890625, propagate_backward_time: 3182.3867187500, weight_update_time: 0.5375261903, other_time: 94.5366210938
epoch time: 421.4910583496s, input_fired_time: 1.8807036877, output_fired_time: 0.0000000000, propagate_forward_time: 414.9993896484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6109619141
validation[          , genome  5983] predictions:    6405/  10000 (64.05%), best:    6449/10000 (64.49%), error:     10428.93555, best error:     10307.77637 on epoch:    24, epoch:   25/25, mu: 0.8152961731, learning_rate: 0.0002072996, weight_decay: 0.0000443880

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 2100.1306152344s, input_fired_time: 31.0650424957, output_fired_time: 0.0000000000, propagate_forward_time: 2028.6218261719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 40.4438476563
best training[          , genome  5983] predictions:   35676/  50000 (71.35%), best:    6449/10000 (64.49%), error:     42604.80078, best error:     10307.77637 on epoch:    24, epoch:   26/25, mu: 0.8217332363, learning_rate: 0.0001900354, weight_decay: 0.0000408155
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 431.5456542969s, input_fired_time: 10.9135904312, output_fired_time: 0.0000000000, propagate_forward_time: 408.8429260254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.7891235352
   testing[          , genome  5983] predictions:    6449/  10000 (64.49%), best:    6449/10000 (64.49%), error:     10307.77637, best error:     10307.77637 on epoch:    24, epoch:   26/25, mu: 0.8217332363, learning_rate: 0.0001900354, weight_decay: 0.0000408155
backpropagation finished successfully!
20:33:58 (332): called boinc_finish(0)

</stderr_txt>
]]>