Nameexact_genome_1542692703_167_6390_1
Workunit4100851
Created20 Nov 2018, 10:37:25 UTC
Sent20 Nov 2018, 11:15:31 UTC
Report deadline19 Dec 2018, 2:22:19 UTC
Received22 Nov 2018, 20:01:36 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID89074
Run time8 hours 3 min 34 sec
CPU time7 hours 52 min 42 sec
Validate stateValid
Credit7,157.43
Device peak FLOPS4.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size524.86 MB
Peak swap size544.98 MB
Peak disk usage12.00 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
alidation_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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.590892
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0101813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000407253
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: 4
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 3
read number_validation_images: 10000
read best_validation_predictions: 5019
read best_validation_error: 16310
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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '1561968102'
read generator: 1561968102
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2421.04150390625s, input_fired_time: 16.0003833770752, output_fired_time: 19.9216175079346, propagate_forward_time: 686.506713867188, propagate_backward_time: 1686.25109863281, weight_update_time: 2.3014349937439, other_time: 12.361572265625
epoch time: 141.024612426758s, input_fired_time: 2.13536739349365, output_fired_time: 0, propagate_forward_time: 134.562759399414, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.32649230957031
validation[          , genome  6390] predictions:    5055/  10000 (50.55%), best:    5055/10000 (50.55%), error:     15510.27832, best error:     15510.27832 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 8054.1362304688s, input_fired_time: 23.3193454742, output_fired_time: 10.9062824249, propagate_forward_time: 689.7077026367, propagate_backward_time: 7315.1987304688, weight_update_time: 0.8433513045, other_time: 15.0043945313
epoch time: 155.8628082275s, input_fired_time: 0.6627872586, output_fired_time: 0.0000000000, propagate_forward_time: 152.4161224365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7839050293
validation[          , genome  6390] predictions:    4906/  10000 (49.06%), best:    5055/10000 (50.55%), error:     15734.76172, best error:     15510.27832 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2436.7441406250s, input_fired_time: 20.5471057892, output_fired_time: 9.2809410095, propagate_forward_time: 697.4022827148, propagate_backward_time: 1694.1655273438, weight_update_time: 2.3106577396, other_time: 15.3481445313
epoch time: 150.2310638428s, input_fired_time: 2.2201225758, output_fired_time: 0.0000000000, propagate_forward_time: 143.5757141113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4352264404
validation[          , genome  6390] predictions:    5022/  10000 (50.22%), best:    5055/10000 (50.55%), error:     16324.19043, best error:     15510.27832 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.647815
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00872921
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000349169
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: 7
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 4
read number_validation_images: 10000
read best_validation_predictions: 5055
read best_validation_error: 15510.3
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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '1822812786'
read generator: 1822812786
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2668.66259765625s, input_fired_time: 19.3672924041748, output_fired_time: 12.8266868591309, propagate_forward_time: 791.044982910156, propagate_backward_time: 1824.380859375, weight_update_time: 0.965505838394165, other_time: 21.04296875
epoch time: 142.688095092773s, input_fired_time: 2.10840582847595, output_fired_time: 0, propagate_forward_time: 138.873260498047, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.70643615722656
validation[          , genome  6390] predictions:    5212/  10000 (52.12%), best:    5212/10000 (52.12%), error:     14959.93750, best error:     14959.93750 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2432.1367187500s, input_fired_time: 18.7174587250, output_fired_time: 15.5111484528, propagate_forward_time: 730.7382812500, propagate_backward_time: 1639.6363525391, weight_update_time: 3.8842213154, other_time: 27.5333251953
epoch time: 143.2494659424s, input_fired_time: 2.1649568081, output_fired_time: 0.0000000000, propagate_forward_time: 135.2800598145, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8044433594
validation[          , genome  6390] predictions:    5056/  10000 (50.56%), best:    5212/10000 (52.12%), error:     15860.84180, best error:     14959.93750 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2398.0454101563s, input_fired_time: 15.7144374847, output_fired_time: 9.2926530838, propagate_forward_time: 682.9545288086, propagate_backward_time: 1673.5329589844, weight_update_time: 2.3544077873, other_time: 16.5507812500
epoch time: 147.6514739990s, input_fired_time: 2.1331372261, output_fired_time: 0.0000000000, propagate_forward_time: 144.2331085205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2852325439
validation[          , genome  6390] predictions:    5076/  10000 (50.76%), best:    5212/10000 (52.12%), error:     15165.36328, best error:     14959.93750 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2431.5192871094s, input_fired_time: 18.9339046478, output_fired_time: 12.4761047363, propagate_forward_time: 703.4098510742, propagate_backward_time: 1675.2703857422, weight_update_time: 2.4403021336, other_time: 21.4290771484
epoch time: 154.7236480713s, input_fired_time: 2.2203345299, output_fired_time: 0.0000000000, propagate_forward_time: 149.4291687012, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0741424561
validation[          , genome  6390] predictions:    5079/  10000 (50.79%), best:    5212/10000 (52.12%), error:     15297.47656, best error:     14959.93750 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2545.6074218750s, input_fired_time: 19.1112728119, output_fired_time: 14.0197019577, propagate_forward_time: 754.4533691406, propagate_backward_time: 1734.1766357422, weight_update_time: 2.3254718781, other_time: 23.8463134766
epoch time: 142.5399475098s, input_fired_time: 2.1931412220, output_fired_time: 0.0000000000, propagate_forward_time: 138.8652801514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4815216064
validation[          , genome  6390] predictions:    5054/  10000 (50.54%), best:    5212/10000 (52.12%), error:     15857.21094, best error:     14959.93750 on epoch:     7, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2417.9887695313s, input_fired_time: 15.6233558655, output_fired_time: 7.7806949615, propagate_forward_time: 739.1065673828, propagate_backward_time: 1636.8685302734, weight_update_time: 3.7789349556, other_time: 18.6096191406
epoch time: 145.0325622559s, input_fired_time: 0.6940750480, output_fired_time: 0.0000000000, propagate_forward_time: 139.8848419189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4536437988
validation[          , genome  6390] predictions:    5383/  10000 (53.83%), best:    5383/10000 (53.83%), error:     14362.24219, best error:     14362.24219 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.738463
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00641677
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000256671
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: 13
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 12
read number_validation_images: 10000
read best_validation_predictions: 5383
read best_validation_error: 14362.2
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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '960068789'
read generator: 960068789
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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.
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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.738463
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00641677
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000256671
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: 13
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 12
read number_validation_images: 10000
read best_validation_predictions: 5383
read best_validation_error: 14362.2
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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '960068789'
read generator: 960068789
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2380.62353515625s, input_fired_time: 11.2624015808105, output_fired_time: 7.79421997070313, propagate_forward_time: 715.144714355469, propagate_backward_time: 1629.71264648438, weight_update_time: 2.34859228134155, other_time: 16.70947265625
epoch time: 134.644500732422s, input_fired_time: 0.652480006217957, output_fired_time: 0, propagate_forward_time: 132.714080810547, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.27793884277344
validation[          , genome  6390] predictions:    5303/  10000 (53.03%), best:    5383/10000 (53.83%), error:     14474.21191, best error:     14362.24219 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2412.8828125000s, input_fired_time: 18.8831977844, output_fired_time: 16.8588333130, propagate_forward_time: 719.8518066406, propagate_backward_time: 1638.7301025391, weight_update_time: 0.8385574222, other_time: 18.5587158203
epoch time: 143.7714233398s, input_fired_time: 2.2133810520, output_fired_time: 0.0000000000, propagate_forward_time: 137.3118286133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2462158203
validation[          , genome  6390] predictions:    5383/  10000 (53.83%), best:    5383/10000 (53.83%), error:     14261.35742, best error:     14261.35742 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5383
read best_validation_error: 14261.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '2031756840'
read generator: 2031756840
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5383
read best_validation_error: 14261.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '2031756840'
read generator: 2031756840
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 15
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5383
read best_validation_error: 14261.4
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '2031756840'
read generator: 2031756840
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2535.18334960938s, input_fired_time: 15.9489059448242, output_fired_time: 15.6161165237427, propagate_forward_time: 728.51708984375, propagate_backward_time: 1756.97729492188, weight_update_time: 6.08302116394043, other_time: 18.123779296875
epoch time: 154.643798828125s, input_fired_time: 0.712242484092712, output_fired_time: 0, propagate_forward_time: 151.067443847656, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.86410522460938
validation[          , genome  6390] predictions:    5265/  10000 (52.65%), best:    5383/10000 (53.83%), error:     14341.70410, best error:     14261.35742 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2572.8845214844s, input_fired_time: 19.0817661285, output_fired_time: 12.5750951767, propagate_forward_time: 750.8026123047, propagate_backward_time: 1772.9632568359, weight_update_time: 2.4080598354, other_time: 17.4616699219
epoch time: 144.2239990234s, input_fired_time: 2.1942048073, output_fired_time: 0.0000000000, propagate_forward_time: 140.7543945313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2754058838
validation[          , genome  6390] predictions:    5461/  10000 (54.61%), best:    5461/10000 (54.61%), error:     13874.27051, best error:     13874.27051 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2457.4968261719s, input_fired_time: 18.9023094177, output_fired_time: 14.1715822220, propagate_forward_time: 731.9079589844, propagate_backward_time: 1670.8876953125, weight_update_time: 0.8778148293, other_time: 21.6271972656
epoch time: 152.9458770752s, input_fired_time: 0.7400159836, output_fired_time: 0.0000000000, propagate_forward_time: 149.2188262939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9870300293
validation[          , genome  6390] predictions:    5295/  10000 (52.95%), best:    5461/10000 (54.61%), error:     14709.15820, best error:     13874.27051 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2484.8928222656s, input_fired_time: 17.5631656647, output_fired_time: 9.3960571289, propagate_forward_time: 718.8979492188, propagate_backward_time: 1721.8293457031, weight_update_time: 0.8774289489, other_time: 17.2062988281
epoch time: 147.3739166260s, input_fired_time: 0.6873361468, output_fired_time: 0.0000000000, propagate_forward_time: 143.4995880127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1869964600
validation[          , genome  6390] predictions:    4712/  10000 (47.12%), best:    5461/10000 (54.61%), error:     16714.43555, best error:     13874.27051 on epoch:    16, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 3693.3217773438s, input_fired_time: 22.4268741608, output_fired_time: 14.7681093216, propagate_forward_time: 1082.4147949219, propagate_backward_time: 2541.1359863281, weight_update_time: 5.7473249435, other_time: 32.5761718750
epoch time: 145.2212677002s, input_fired_time: 2.2315850258, output_fired_time: 0.0000000000, propagate_forward_time: 138.3927459717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5969390869
validation[          , genome  6390] predictions:    4996/  10000 (49.96%), best:    5461/10000 (54.61%), error:     15155.60840, best error:     13874.27051 on epoch:    16, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2417.8637695313s, input_fired_time: 17.4064102173, output_fired_time: 9.4347448349, propagate_forward_time: 713.3764648438, propagate_backward_time: 1661.5744628906, weight_update_time: 0.8367667794, other_time: 16.0715332031
epoch time: 141.8705444336s, input_fired_time: 0.6729483008, output_fired_time: 0.0000000000, propagate_forward_time: 139.8904418945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3071594238
validation[          , genome  6390] predictions:    5300/  10000 (53.00%), best:    5461/10000 (54.61%), error:     14595.51563, best error:     13874.27051 on epoch:    16, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2519.3225097656s, input_fired_time: 17.7675247192, output_fired_time: 8.0931711197, propagate_forward_time: 694.0164184570, propagate_backward_time: 1771.4528808594, weight_update_time: 2.4025030136, other_time: 27.9924316406
epoch time: 155.4585418701s, input_fired_time: 0.7513636351, output_fired_time: 0.0000000000, propagate_forward_time: 153.2347564697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4724273682
validation[          , genome  6390] predictions:    5546/  10000 (55.46%), best:    5461/10000 (54.61%), error:     13906.97070, best error:     13874.27051 on epoch:    16, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2553.9895019531s, input_fired_time: 19.1852664948, output_fired_time: 12.6826295853, propagate_forward_time: 753.7304077148, propagate_backward_time: 1744.0460205078, weight_update_time: 3.1153011322, other_time: 24.3450927734
epoch time: 141.2575836182s, input_fired_time: 5.1762213707, output_fired_time: 0.0000000000, propagate_forward_time: 134.7860717773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2952880859
validation[          , genome  6390] predictions:    5410/  10000 (54.10%), best:    5461/10000 (54.61%), error:     14435.57422, best error:     13874.27051 on epoch:    16, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 16
read number_validation_images: 10000
read best_validation_predictions: 5461
read best_validation_error: 13874.3
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: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '1957082690'
read generator: 1957082690
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2451.14453125s, input_fired_time: 14.4124803543091, output_fired_time: 9.61675643920898, propagate_forward_time: 647.418518066406, propagate_backward_time: 1762.6787109375, weight_update_time: 3.97856760025024, other_time: 17.01806640625
epoch time: 139.08024597168s, input_fired_time: 0.688582420349121, output_fired_time: 0, propagate_forward_time: 137.023498535156, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.3681640625
validation[          , genome  6390] predictions:    5563/  10000 (55.63%), best:    5563/10000 (55.63%), error:     13550.74902, best error:     13550.74902 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2394.8125000000s, input_fired_time: 15.8440542221, output_fired_time: 10.9450368881, propagate_forward_time: 684.9797363281, propagate_backward_time: 1670.8991699219, weight_update_time: 0.8389751315, other_time: 12.1445312500
epoch time: 143.1213836670s, input_fired_time: 0.7029826045, output_fired_time: 0.0000000000, propagate_forward_time: 141.1101989746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3081970215
validation[          , genome  6390] predictions:    5569/  10000 (55.69%), best:    5563/10000 (55.63%), error:     13757.29688, best error:     13550.74902 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 7837.0576171875s, input_fired_time: 20.5330219269, output_fired_time: 7.8300848007, propagate_forward_time: 738.4696044922, propagate_backward_time: 7050.8720703125, weight_update_time: 3.9277639389, other_time: 19.3525390625
epoch time: 148.2220916748s, input_fired_time: 2.2625963688, output_fired_time: 0.0000000000, propagate_forward_time: 140.1237487793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8357391357
validation[          , genome  6390] predictions:    5751/  10000 (57.51%), best:    5751/10000 (57.51%), error:     13124.10156, best error:     13124.10156 on epoch:    25, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.860875
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.003294
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00013176
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: 26
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 25
read number_validation_images: 10000
read best_validation_predictions: 5751
read best_validation_error: 13124.1
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '876101847'
read generator: 876101847
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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_1542692703_167_6390.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_167_6390_1_r1668770094_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: 0.860875
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.003294
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00013176
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: 26
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 25
read number_validation_images: 10000
read best_validation_predictions: 5751
read best_validation_error: 13124.1
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6390
read normal distribution: '1 0.224785402417183 -0.51005882024765'
generator_str: '876101847'
read generator: 876101847
read generated_by_map:
1 change_size_x 1
reading 92 nodes.
reading 405 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: 2539.98046875s, input_fired_time: 17.6900081634521, output_fired_time: 16.9976043701172, propagate_forward_time: 719.744934082031, propagate_backward_time: 1761.86486816406, weight_update_time: 3.92108750343323, other_time: 23.6832275390625
epoch time: 154.578674316406s, input_fired_time: 3.78170323371887, output_fired_time: 0, propagate_forward_time: 145.505310058594, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.29165649414063
validation[          , genome  6390] predictions:    5662/  10000 (56.62%), best:    5751/10000 (57.51%), error:     13664.94336, best error:     13124.10156 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 765.2580566406s, input_fired_time: 6.8336591721, output_fired_time: 0.0000000000, propagate_forward_time: 741.2685546875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 17.1558227539
best training[          , genome  6390] predictions:   32868/  50000 (65.74%), best:    5751/10000 (57.51%), error:     50331.40234, best error:     13124.10156 on epoch:    25, epoch:   27/25, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 152.3277740479s, input_fired_time: 0.7488269806, output_fired_time: 0.0000000000, propagate_forward_time: 150.1478881836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4310607910
   testing[          , genome  6390] predictions:    5751/  10000 (57.51%), best:    5751/10000 (57.51%), error:     13124.10156, best error:     13124.10156 on epoch:    25, epoch:   27/25, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720
backpropagation finished successfully!
20:58:34 (8112): called boinc_finish(0)

</stderr_txt>
]]>