Nameexact_genome_1542383404_183_6098_0
Workunit4093670
Created16 Nov 2018, 20:15:23 UTC
Sent16 Nov 2018, 20:47:11 UTC
Report deadline4 Feb 2019, 19:41:21 UTC
Received19 Nov 2018, 22:15:56 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID10687
Run time1 days 7 hours 55 min 59 sec
CPU time1 days 7 hours 18 min 39 sec
Validate stateValid
Credit19,988.57
Device peak FLOPS4.69 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size515.78 MB
Peak swap size514.29 MB
Peak disk usage10.55 MB

Stderr output

<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
guments 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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.959291
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000783401
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.13361e-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: 54
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 51
read number_validation_images: 10000
read best_validation_predictions: 6018
read best_validation_error: 12019.6
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: 6098
read normal distribution: '1 0 0'
generator_str: '2062032973'
read generator: 2062032973
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.959291
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000783401
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.13361e-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: 54
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 51
read number_validation_images: 10000
read best_validation_predictions: 6018
read best_validation_error: 12019.6
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: 6098
read normal distribution: '1 0 0'
generator_str: '2062032973'
read generator: 2062032973
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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: 1040.57275390625s, input_fired_time: 9.58647632598877, output_fired_time: 7.56964349746704, propagate_forward_time: 360.119384765625, propagate_backward_time: 652.160827636719, weight_update_time: 1.17926359176636, other_time: 11.136474609375
epoch time: 76.7197952270508s, input_fired_time: 1.16968500614166, output_fired_time: 0, propagate_forward_time: 73.4570999145508, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.09300994873047
validation[          , genome  6098] predictions:    6000/  10000 (60.00%), best:    6018/10000 (60.18%), error:     12408.70410, best error:     12019.55762 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1277.3433837891s, input_fired_time: 9.7498235703, output_fired_time: 7.4414429665, propagate_forward_time: 630.1840209961, propagate_backward_time: 617.7924804688, weight_update_time: 1.2954107523, other_time: 12.1755981445
epoch time: 77.7694778442s, input_fired_time: 1.1591619253, output_fired_time: 0.0000000000, propagate_forward_time: 74.4966812134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1136322021
validation[          , genome  6098] predictions:    5993/  10000 (59.93%), best:    6018/10000 (60.18%), error:     12105.76953, best error:     12019.55762 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1027.5965576172s, input_fired_time: 10.1323375702, output_fired_time: 7.4899330139, propagate_forward_time: 371.1298217773, propagate_backward_time: 627.1550903320, weight_update_time: 1.2161890268, other_time: 11.6893920898
epoch time: 75.3085937500s, input_fired_time: 1.1390690804, output_fired_time: 0.0000000000, propagate_forward_time: 72.0666809082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1028442383
validation[          , genome  6098] predictions:    6072/  10000 (60.72%), best:    6072/10000 (60.72%), error:     11904.83691, best error:     11904.83691 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1009.2752075195s, input_fired_time: 9.7035655975, output_fired_time: 7.4281420708, propagate_forward_time: 362.2045593262, propagate_backward_time: 617.9000244141, weight_update_time: 1.2823320627, other_time: 12.0389404297
epoch time: 75.9499664307s, input_fired_time: 1.1521779299, output_fired_time: 0.0000000000, propagate_forward_time: 72.6739120483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1238784790
validation[          , genome  6098] predictions:    6115/  10000 (61.15%), best:    6115/10000 (61.15%), error:     11820.96094, best error:     11820.96094 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1015.3789672852s, input_fired_time: 9.7222223282, output_fired_time: 7.4898056984, propagate_forward_time: 363.9222412109, propagate_backward_time: 622.1488647461, weight_update_time: 1.2926944494, other_time: 12.0958251953
epoch time: 76.1499099731s, input_fired_time: 1.1412510872, output_fired_time: 0.0000000000, propagate_forward_time: 72.8903121948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1183471680
validation[          , genome  6098] predictions:    6001/  10000 (60.01%), best:    6115/10000 (61.15%), error:     12355.22656, best error:     11820.96094 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1011.6544799805s, input_fired_time: 9.6841897964, output_fired_time: 7.4488105774, propagate_forward_time: 362.5355834961, propagate_backward_time: 620.0718383789, weight_update_time: 1.2623505592, other_time: 11.9140625000
epoch time: 76.2798156738s, input_fired_time: 1.1729362011, output_fired_time: 0.0000000000, propagate_forward_time: 72.9265289307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1803512573
validation[          , genome  6098] predictions:    6067/  10000 (60.67%), best:    6067/10000 (60.67%), error:     11812.00391, best error:     11812.00391 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1009.1820678711s, input_fired_time: 9.6709556580, output_fired_time: 7.5060048103, propagate_forward_time: 361.6443481445, propagate_backward_time: 619.3831176758, weight_update_time: 1.1643326283, other_time: 10.9776611328
epoch time: 76.2274169922s, input_fired_time: 1.1558233500, output_fired_time: 0.0000000000, propagate_forward_time: 72.9561538696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1154403687
validation[          , genome  6098] predictions:    6130/  10000 (61.30%), best:    6067/10000 (60.67%), error:     11815.99512, best error:     11812.00391 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1011.5863647461s, input_fired_time: 9.7156696320, output_fired_time: 7.5758485794, propagate_forward_time: 365.2501525879, propagate_backward_time: 617.3283081055, weight_update_time: 1.2505642176, other_time: 11.7163696289
epoch time: 77.1362991333s, input_fired_time: 1.1556168795, output_fired_time: 0.0000000000, propagate_forward_time: 73.8550186157, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1256637573
validation[          , genome  6098] predictions:    6028/  10000 (60.28%), best:    6067/10000 (60.67%), error:     12031.04688, best error:     11812.00391 on epoch:    59, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1010.1367797852s, input_fired_time: 9.7275743484, output_fired_time: 7.4767994881, propagate_forward_time: 363.3260803223, propagate_backward_time: 617.4589843750, weight_update_time: 1.2926522493, other_time: 12.1473388672
epoch time: 76.6417312622s, input_fired_time: 1.1535090208, output_fired_time: 0.0000000000, propagate_forward_time: 73.3493499756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1388702393
validation[          , genome  6098] predictions:    6056/  10000 (60.56%), best:    6067/10000 (60.67%), error:     11893.39941, best error:     11812.00391 on epoch:    59, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1010.8142700195s, input_fired_time: 9.7487545013, output_fired_time: 7.4902529716, propagate_forward_time: 362.1533813477, propagate_backward_time: 620.2106933594, weight_update_time: 1.1863328218, other_time: 11.2111816406
epoch time: 76.5045166016s, input_fired_time: 1.1448910236, output_fired_time: 0.0000000000, propagate_forward_time: 73.2357177734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1239089966
validation[          , genome  6098] predictions:    6056/  10000 (60.56%), best:    6067/10000 (60.67%), error:     11873.89063, best error:     11812.00391 on epoch:    59, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1023.3189086914s, input_fired_time: 9.7768707275, output_fired_time: 7.5152926445, propagate_forward_time: 365.5429382324, propagate_backward_time: 628.4121704102, weight_update_time: 1.3205578327, other_time: 12.0715942383
epoch time: 78.2927932739s, input_fired_time: 1.2030895948, output_fired_time: 0.0000000000, propagate_forward_time: 74.9429702759, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1467361450
validation[          , genome  6098] predictions:    6128/  10000 (61.28%), best:    6128/10000 (61.28%), error:     11555.67383, best error:     11555.67383 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1052.0368652344s, input_fired_time: 10.1496515274, output_fired_time: 7.7695789337, propagate_forward_time: 376.2599182129, propagate_backward_time: 645.5650634766, weight_update_time: 1.3052756786, other_time: 12.2927246094
epoch time: 80.3392944336s, input_fired_time: 1.2382076979, output_fired_time: 0.0000000000, propagate_forward_time: 76.8920898438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2089996338
validation[          , genome  6098] predictions:    6210/  10000 (62.10%), best:    6210/10000 (62.10%), error:     11451.00000, best error:     11451.00000 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1067.4166259766s, input_fired_time: 10.2888154984, output_fired_time: 7.8167448044, propagate_forward_time: 382.0583190918, propagate_backward_time: 654.6919555664, weight_update_time: 1.3462685347, other_time: 12.5607299805
epoch time: 84.8426971436s, input_fired_time: 1.2303887606, output_fired_time: 0.0000000000, propagate_forward_time: 81.3847122192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2275924683
validation[          , genome  6098] predictions:    6046/  10000 (60.46%), best:    6210/10000 (62.10%), error:     11984.20215, best error:     11451.00000 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 6210
read best_validation_error: 11451
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: 6098
read normal distribution: '1 0 0'
generator_str: '727694518'
read generator: 727694518
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 6210
read best_validation_error: 11451
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: 6098
read normal distribution: '1 0 0'
generator_str: '727694518'
read generator: 727694518
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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: 1022.22833251953s, input_fired_time: 9.94198322296143, output_fired_time: 7.50603914260864, propagate_forward_time: 367.005035400391, propagate_backward_time: 625.510375976563, weight_update_time: 1.28478240966797, other_time: 12.264892578125
epoch time: 80.2256011962891s, input_fired_time: 1.27115726470947, output_fired_time: 0, propagate_forward_time: 76.7244491577148, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.22999572753906
validation[          , genome  6098] predictions:    6156/  10000 (61.56%), best:    6210/10000 (62.10%), error:     11773.81836, best error:     11451.00000 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1058.7697753906s, input_fired_time: 10.2086400986, output_fired_time: 7.7959318161, propagate_forward_time: 381.0990905762, propagate_backward_time: 647.1134643555, weight_update_time: 1.3363903761, other_time: 12.5526733398
epoch time: 79.8155441284s, input_fired_time: 1.2360627651, output_fired_time: 0.0000000000, propagate_forward_time: 76.4045639038, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1749191284
validation[          , genome  6098] predictions:    6095/  10000 (60.95%), best:    6210/10000 (62.10%), error:     11790.86816, best error:     11451.00000 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1056.4217529297s, input_fired_time: 10.1607151031, output_fired_time: 7.7959237099, propagate_forward_time: 378.1290893555, propagate_backward_time: 648.2172241211, weight_update_time: 1.3046585321, other_time: 12.1187744141
epoch time: 79.5676422119s, input_fired_time: 1.2181985378, output_fired_time: 0.0000000000, propagate_forward_time: 76.1854324341, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1640090942
validation[          , genome  6098] predictions:    6089/  10000 (60.89%), best:    6210/10000 (62.10%), error:     11814.38770, best error:     11451.00000 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1061.8540039063s, input_fired_time: 10.2667875290, output_fired_time: 7.8886818886, propagate_forward_time: 380.8962402344, propagate_backward_time: 645.8055419922, weight_update_time: 1.3481624126, other_time: 16.9967041016
epoch time: 79.5480270386s, input_fired_time: 1.2166165113, output_fired_time: 0.0000000000, propagate_forward_time: 76.0936203003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2377929688
validation[          , genome  6098] predictions:    6105/  10000 (61.05%), best:    6210/10000 (62.10%), error:     11919.60449, best error:     11451.00000 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1154.4979248047s, input_fired_time: 10.3504161835, output_fired_time: 7.9059948921, propagate_forward_time: 389.3645019531, propagate_backward_time: 734.3560791016, weight_update_time: 1.3611440659, other_time: 12.5208740234
epoch time: 79.5221710205s, input_fired_time: 1.2265861034, output_fired_time: 0.0000000000, propagate_forward_time: 76.0623016357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2332839966
validation[          , genome  6098] predictions:    6141/  10000 (61.41%), best:    6210/10000 (62.10%), error:     11704.85547, best error:     11451.00000 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1062.3699951172s, input_fired_time: 10.3978281021, output_fired_time: 7.8102245331, propagate_forward_time: 382.7316589355, propagate_backward_time: 648.7822875977, weight_update_time: 1.3503615856, other_time: 12.6480102539
epoch time: 79.3165969849s, input_fired_time: 1.2241072655, output_fired_time: 0.0000000000, propagate_forward_time: 75.8797836304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2127075195
validation[          , genome  6098] predictions:    6156/  10000 (61.56%), best:    6210/10000 (62.10%), error:     11691.39941, best error:     11451.00000 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1075.3483886719s, input_fired_time: 10.3347349167, output_fired_time: 7.9038114548, propagate_forward_time: 384.1258544922, propagate_backward_time: 660.5792236328, weight_update_time: 1.3248820305, other_time: 12.4047851563
epoch time: 81.3068847656s, input_fired_time: 1.2544025183, output_fired_time: 0.0000000000, propagate_forward_time: 77.8624496460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1900329590
validation[          , genome  6098] predictions:    6178/  10000 (61.78%), best:    6210/10000 (62.10%), error:     11705.15234, best error:     11451.00000 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1060.3358154297s, input_fired_time: 10.2844734192, output_fired_time: 7.8274950981, propagate_forward_time: 381.7588195801, propagate_backward_time: 647.7860107422, weight_update_time: 1.3555623293, other_time: 12.6790771484
epoch time: 80.1923904419s, input_fired_time: 1.2373360395, output_fired_time: 0.0000000000, propagate_forward_time: 76.7116165161, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2434387207
validation[          , genome  6098] predictions:    6186/  10000 (61.86%), best:    6210/10000 (62.10%), error:     11610.76758, best error:     11451.00000 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1096.9381103516s, input_fired_time: 10.4876680374, output_fired_time: 8.2207183838, propagate_forward_time: 389.6272277832, propagate_backward_time: 676.6350708008, weight_update_time: 1.3332449198, other_time: 11.9674682617
epoch time: 80.7641754150s, input_fired_time: 1.2501711845, output_fired_time: 0.0000000000, propagate_forward_time: 77.2356872559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2783203125
validation[          , genome  6098] predictions:    6159/  10000 (61.59%), best:    6210/10000 (62.10%), error:     11727.66113, best error:     11451.00000 on epoch:    65, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1084.1823730469s, input_fired_time: 10.4834651947, output_fired_time: 8.0435304642, propagate_forward_time: 389.8882751465, propagate_backward_time: 663.7761230469, weight_update_time: 1.2734017372, other_time: 11.9908447266
epoch time: 85.2202453613s, input_fired_time: 1.2423977852, output_fired_time: 0.0000000000, propagate_forward_time: 81.7455596924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2322845459
validation[          , genome  6098] predictions:    6197/  10000 (61.97%), best:    6210/10000 (62.10%), error:     11566.36719, best error:     11451.00000 on epoch:    65, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1065.4455566406s, input_fired_time: 10.3484792709, output_fired_time: 7.8843164444, propagate_forward_time: 382.6703491211, propagate_backward_time: 651.9674072266, weight_update_time: 1.3564597368, other_time: 12.5750122070
epoch time: 79.9151000977s, input_fired_time: 1.2408199310, output_fired_time: 0.0000000000, propagate_forward_time: 76.4335021973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2407760620
validation[          , genome  6098] predictions:    6171/  10000 (61.71%), best:    6210/10000 (62.10%), error:     11783.63574, best error:     11451.00000 on epoch:    65, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1061.6668701172s, input_fired_time: 10.2991266251, output_fired_time: 7.8168115616, propagate_forward_time: 382.0253601074, propagate_backward_time: 648.7999877930, weight_update_time: 1.3651243448, other_time: 12.7256469727
epoch time: 79.5359039307s, input_fired_time: 1.2207107544, output_fired_time: 0.0000000000, propagate_forward_time: 76.0945968628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2205963135
validation[          , genome  6098] predictions:    6138/  10000 (61.38%), best:    6210/10000 (62.10%), error:     11669.77930, best error:     11451.00000 on epoch:    65, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1059.0112304688s, input_fired_time: 10.2767152786, output_fired_time: 7.9356813431, propagate_forward_time: 380.5789184570, propagate_backward_time: 647.9340209961, weight_update_time: 1.3086048365, other_time: 12.2858886719
epoch time: 79.0828857422s, input_fired_time: 1.2240104675, output_fired_time: 0.0000000000, propagate_forward_time: 75.6564102173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2024612427
validation[          , genome  6098] predictions:    6140/  10000 (61.40%), best:    6210/10000 (62.10%), error:     11620.97266, best error:     11451.00000 on epoch:    65, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1055.2039794922s, input_fired_time: 10.1822214127, output_fired_time: 7.8435230255, propagate_forward_time: 377.3085937500, propagate_backward_time: 647.9552001953, weight_update_time: 1.2771905661, other_time: 11.9144287109
epoch time: 78.6590728760s, input_fired_time: 1.2188408375, output_fired_time: 0.0000000000, propagate_forward_time: 75.2228775024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2173538208
validation[          , genome  6098] predictions:    6194/  10000 (61.94%), best:    6210/10000 (62.10%), error:     11585.34766, best error:     11451.00000 on epoch:    65, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1045.3497314453s, input_fired_time: 10.1820001602, output_fired_time: 7.7207975388, propagate_forward_time: 376.5683288574, propagate_backward_time: 638.3723754883, weight_update_time: 1.3430496454, other_time: 12.5061645508
epoch time: 79.1425781250s, input_fired_time: 1.2209230661, output_fired_time: 0.0000000000, propagate_forward_time: 75.7112808228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2103729248
validation[          , genome  6098] predictions:    6149/  10000 (61.49%), best:    6210/10000 (62.10%), error:     11695.12988, best error:     11451.00000 on epoch:    65, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1051.5046386719s, input_fired_time: 10.1967601776, output_fired_time: 7.7215466499, propagate_forward_time: 377.4378662109, propagate_backward_time: 643.7012329102, weight_update_time: 1.3746954203, other_time: 12.4472045898
epoch time: 78.7038040161s, input_fired_time: 1.2205003500, output_fired_time: 0.0000000000, propagate_forward_time: 75.2669372559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2163696289
validation[          , genome  6098] predictions:    6149/  10000 (61.49%), best:    6210/10000 (62.10%), error:     11603.62695, best error:     11451.00000 on epoch:    65, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1047.8762207031s, input_fired_time: 10.1778392792, output_fired_time: 7.7121682167, propagate_forward_time: 375.9688720703, propagate_backward_time: 641.5067138672, weight_update_time: 1.3448284864, other_time: 12.5106201172
epoch time: 78.8070602417s, input_fired_time: 1.2275457382, output_fired_time: 0.0000000000, propagate_forward_time: 75.3754425049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2040710449
validation[          , genome  6098] predictions:    6199/  10000 (61.99%), best:    6210/10000 (62.10%), error:     11575.36523, best error:     11451.00000 on epoch:    65, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1059.2363281250s, input_fired_time: 10.2570753098, output_fired_time: 7.7940669060, propagate_forward_time: 380.2704467773, propagate_backward_time: 648.3037109375, weight_update_time: 1.3411065340, other_time: 12.6110229492
epoch time: 79.8483200073s, input_fired_time: 1.2501708269, output_fired_time: 0.0000000000, propagate_forward_time: 76.3848571777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2132949829
validation[          , genome  6098] predictions:    6188/  10000 (61.88%), best:    6210/10000 (62.10%), error:     11532.68652, best error:     11451.00000 on epoch:    65, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1049.2075195313s, input_fired_time: 10.1922636032, output_fired_time: 7.7746291161, propagate_forward_time: 380.1146850586, propagate_backward_time: 638.6435546875, weight_update_time: 1.3386662006, other_time: 12.4823608398
epoch time: 79.3377380371s, input_fired_time: 1.2744388580, output_fired_time: 0.0000000000, propagate_forward_time: 75.8567733765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2065277100
validation[          , genome  6098] predictions:    6166/  10000 (61.66%), best:    6210/10000 (62.10%), error:     11603.99902, best error:     11451.00000 on epoch:    65, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1049.1448974609s, input_fired_time: 10.3296356201, output_fired_time: 7.7657465935, propagate_forward_time: 378.1943359375, propagate_backward_time: 640.3240966797, weight_update_time: 1.3456168175, other_time: 12.5311279297
epoch time: 85.2201843262s, input_fired_time: 1.2711185217, output_fired_time: 0.0000000000, propagate_forward_time: 81.7206192017, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2284469604
validation[          , genome  6098] predictions:    6186/  10000 (61.86%), best:    6210/10000 (62.10%), error:     11658.69824, best error:     11451.00000 on epoch:    65, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1045.1298828125s, input_fired_time: 10.2246809006, output_fired_time: 7.7280821800, propagate_forward_time: 376.6276245117, propagate_backward_time: 637.9806518555, weight_update_time: 1.3473964930, other_time: 12.5688476563
epoch time: 78.9186401367s, input_fired_time: 1.2354369164, output_fired_time: 0.0000000000, propagate_forward_time: 75.4692001343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2140045166
validation[          , genome  6098] predictions:    6175/  10000 (61.75%), best:    6210/10000 (62.10%), error:     11633.89258, best error:     11451.00000 on epoch:    65, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1068.4328613281s, input_fired_time: 10.3062982559, output_fired_time: 7.7705974579, propagate_forward_time: 380.8640747070, propagate_backward_time: 656.8218383789, weight_update_time: 1.3601794243, other_time: 12.6700439453
epoch time: 79.4692306519s, input_fired_time: 1.2367861271, output_fired_time: 0.0000000000, propagate_forward_time: 76.0198059082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2126388550
validation[          , genome  6098] predictions:    6250/  10000 (62.50%), best:    6210/10000 (62.10%), error:     11544.94824, best error:     11451.00000 on epoch:    65, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1060.0463867188s, input_fired_time: 10.2473888397, output_fired_time: 7.7657375336, propagate_forward_time: 380.3811950684, propagate_backward_time: 649.2042236328, weight_update_time: 1.3435236216, other_time: 12.4477539063
epoch time: 79.4411544800s, input_fired_time: 1.2347052097, output_fired_time: 0.0000000000, propagate_forward_time: 75.9816207886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2248306274
validation[          , genome  6098] predictions:    6168/  10000 (61.68%), best:    6210/10000 (62.10%), error:     11621.58984, best error:     11451.00000 on epoch:    65, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1077.1250000000s, input_fired_time: 10.4928865433, output_fired_time: 7.9381351471, propagate_forward_time: 383.7312622070, propagate_backward_time: 662.1636352539, weight_update_time: 1.3508664370, other_time: 12.7990722656
epoch time: 80.9205627441s, input_fired_time: 1.4272631407, output_fired_time: 0.0000000000, propagate_forward_time: 77.2475128174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2457885742
validation[          , genome  6098] predictions:    6243/  10000 (62.43%), best:    6243/10000 (62.43%), error:     11440.17188, best error:     11440.17188 on epoch:    90, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1060.0832519531s, input_fired_time: 10.3508081436, output_fired_time: 7.8256692886, propagate_forward_time: 380.6949157715, propagate_backward_time: 649.2968139648, weight_update_time: 1.2732895613, other_time: 11.9149780273
epoch time: 79.8457260132s, input_fired_time: 1.2578266859, output_fired_time: 0.0000000000, propagate_forward_time: 76.3848114014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2030868530
validation[          , genome  6098] predictions:    6206/  10000 (62.06%), best:    6243/10000 (62.43%), error:     11612.14941, best error:     11440.17188 on epoch:    90, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1070.1986083984s, input_fired_time: 10.4331436157, output_fired_time: 7.8333592415, propagate_forward_time: 386.3980712891, propagate_backward_time: 653.3186645508, weight_update_time: 1.3137149811, other_time: 12.2153930664
epoch time: 80.0582199097s, input_fired_time: 1.2662431002, output_fired_time: 0.0000000000, propagate_forward_time: 76.4934463501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2985305786
validation[          , genome  6098] predictions:    6203/  10000 (62.03%), best:    6243/10000 (62.43%), error:     11530.32715, best error:     11440.17188 on epoch:    90, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1067.8934326172s, input_fired_time: 10.4248418808, output_fired_time: 7.9020133018, propagate_forward_time: 382.2545776367, propagate_backward_time: 654.6734619141, weight_update_time: 1.3314691782, other_time: 12.6386108398
epoch time: 80.8683090210s, input_fired_time: 1.2985599041, output_fired_time: 0.0000000000, propagate_forward_time: 77.3323364258, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2374114990
validation[          , genome  6098] predictions:    6200/  10000 (62.00%), best:    6243/10000 (62.43%), error:     11576.14258, best error:     11440.17188 on epoch:    90, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 989.4420166016s, input_fired_time: 9.6580600739, output_fired_time: 7.3401136398, propagate_forward_time: 354.9032287598, propagate_backward_time: 605.8986816406, weight_update_time: 1.2425942421, other_time: 11.6419677734
epoch time: 72.8441162109s, input_fired_time: 1.1390955448, output_fired_time: 0.0000000000, propagate_forward_time: 69.6531600952, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0518569946
validation[          , genome  6098] predictions:    6224/  10000 (62.24%), best:    6243/10000 (62.43%), error:     11527.01465, best error:     11440.17188 on epoch:    90, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 965.9674072266s, input_fired_time: 9.4238948822, output_fired_time: 7.1655564308, propagate_forward_time: 346.2688598633, propagate_backward_time: 591.7963256836, weight_update_time: 1.2014446259, other_time: 11.3128051758
epoch time: 72.8466339111s, input_fired_time: 1.1397354603, output_fired_time: 0.0000000000, propagate_forward_time: 69.6438827515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0630187988
validation[          , genome  6098] predictions:    6184/  10000 (61.84%), best:    6243/10000 (62.43%), error:     11589.31738, best error:     11440.17188 on epoch:    90, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 963.9312133789s, input_fired_time: 9.4371862411, output_fired_time: 7.1352219582, propagate_forward_time: 346.0695495605, propagate_backward_time: 590.0341186523, weight_update_time: 1.1985532045, other_time: 11.2551879883
epoch time: 72.8879776001s, input_fired_time: 1.1409863234, output_fired_time: 0.0000000000, propagate_forward_time: 69.6965026855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0504913330
validation[          , genome  6098] predictions:    6195/  10000 (61.95%), best:    6243/10000 (62.43%), error:     11604.88574, best error:     11440.17188 on epoch:    90, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 962.3497314453s, input_fired_time: 9.4267444611, output_fired_time: 7.1407589912, propagate_forward_time: 345.5128479004, propagate_backward_time: 589.0347900391, weight_update_time: 1.1957811117, other_time: 11.2346191406
epoch time: 72.9181137085s, input_fired_time: 1.1437257528, output_fired_time: 0.0000000000, propagate_forward_time: 69.7241744995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0502166748
validation[          , genome  6098] predictions:    6199/  10000 (61.99%), best:    6243/10000 (62.43%), error:     11500.53711, best error:     11440.17188 on epoch:    90, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 963.8210449219s, input_fired_time: 9.4136037827, output_fired_time: 7.1255469322, propagate_forward_time: 345.3320617676, propagate_backward_time: 590.6996459961, weight_update_time: 1.2006849051, other_time: 11.2501831055
epoch time: 73.1753768921s, input_fired_time: 1.1442452669, output_fired_time: 0.0000000000, propagate_forward_time: 69.9833526611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0477752686
validation[          , genome  6098] predictions:    6199/  10000 (61.99%), best:    6243/10000 (62.43%), error:     11554.41309, best error:     11440.17188 on epoch:    90, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.986946
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.79016e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.11606e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 99
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 90
read number_validation_images: 10000
read best_validation_predictions: 6243
read best_validation_error: 11440.2
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: 6098
read normal distribution: '1 0 0'
generator_str: '397900333'
read generator: 397900333
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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_1542383404_183_6098.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_183_6098_0_r750604989_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: 0.986946
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.79016e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.11606e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 99
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 90
read number_validation_images: 10000
read best_validation_predictions: 6243
read best_validation_error: 11440.2
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: 6098
read normal distribution: '1 0 0'
generator_str: '397900333'
read generator: 397900333
read generated_by_map:
1 crossover 1
reading 82 nodes.
reading 325 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: 914.349853515625s, input_fired_time: 8.95268154144287, output_fired_time: 6.73401117324829, propagate_forward_time: 328.139495849609, propagate_backward_time: 559.577941894531, weight_update_time: 1.14632225036621, other_time: 10.9457397460938
epoch time: 71.4851837158203s, input_fired_time: 1.11832463741302, output_fired_time: 0, propagate_forward_time: 68.3783111572266, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.98854827880859
validation[          , genome  6098] predictions:    6230/  10000 (62.30%), best:    6243/10000 (62.43%), error:     11526.70703, best error:     11440.17188 on epoch:    90, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 947.9542236328s, input_fired_time: 9.3006353378, output_fired_time: 7.0450172424, propagate_forward_time: 340.9147644043, propagate_backward_time: 579.5623168945, weight_update_time: 1.1815916300, other_time: 11.1314086914
epoch time: 71.7777633667s, input_fired_time: 1.1217130423, output_fired_time: 0.0000000000, propagate_forward_time: 68.6494674683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0065841675
validation[          , genome  6098] predictions:    6168/  10000 (61.68%), best:    6243/10000 (62.43%), error:     11583.80859, best error:     11440.17188 on epoch:    90, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 387.7207641602s, input_fired_time: 5.9725193977, output_fired_time: 0.0000000000, propagate_forward_time: 371.2103881836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5378417969
best training[          , genome  6098] predictions:   41068/  50000 (82.14%), best:    6243/10000 (62.43%), error:     27955.60938, best error:     11440.17188 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 78.8186035156s, input_fired_time: 1.2369933128, output_fired_time: 0.0000000000, propagate_forward_time: 75.4335556030, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1480560303
   testing[          , genome  6098] predictions:    6243/  10000 (62.43%), best:    6243/10000 (62.43%), error:     11440.17188, best error:     11440.17188 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
08:14:42 (2784): called boinc_finish(0)

</stderr_txt>
]]>