Nameexact_genome_1542727803_166_6402_1
Workunit4101137
Created20 Nov 2018, 18:10:06 UTC
Sent20 Nov 2018, 18:13:36 UTC
Report deadline18 Dec 2018, 22:52:49 UTC
Received21 Nov 2018, 11:04:51 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87483
Run time12 hours 11 min 8 sec
CPU time12 hours 4 min 44 sec
Validate stateValid
Credit7,048.48
Device peak FLOPS4.23 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.68 MB
Peak swap size551.21 MB
Peak disk usage12.15 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402_1_r727934421_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6402
read normal distribution: '1 -0.458422482013702 -2.32895350456238'
generator_str: '1544186585'
read generator: 1544186585
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 456 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 804060100
post shuffle 1: 1265962842
epoch time: 1695.67883300781s, input_fired_time: 11.4880180358887, output_fired_time: 10.3567590713501, propagate_forward_time: 668.561889648438, propagate_backward_time: 987.91455078125, weight_update_time: 0.854622483253479, other_time: 17.3575439453125
epoch time: 137.069412231445s, input_fired_time: 1.37844932079315, output_fired_time: 0, propagate_forward_time: 132.506195068359, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.18476867675781
validation[          , genome  6402] predictions:    5034/  10000 (50.34%), best:    5034/10000 (50.34%), error:     17881.00195, best error:     17881.00195 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1692.0074462891s, input_fired_time: 11.4346284866, output_fired_time: 10.2166213989, propagate_forward_time: 666.8580322266, propagate_backward_time: 986.3771972656, weight_update_time: 0.8771393895, other_time: 17.1209716797
epoch time: 139.1407318115s, input_fired_time: 1.4142165184, output_fired_time: 0.0000000000, propagate_forward_time: 134.4801177979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2463989258
validation[          , genome  6402] predictions:    5272/  10000 (52.72%), best:    5272/10000 (52.72%), error:     15883.92480, best error:     15883.92480 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1705.1166992188s, input_fired_time: 11.4164648056, output_fired_time: 10.3347177505, propagate_forward_time: 672.0086669922, propagate_backward_time: 993.8157348633, weight_update_time: 0.8434763551, other_time: 17.5410766602
epoch time: 139.1445465088s, input_fired_time: 1.3420550823, output_fired_time: 0.0000000000, propagate_forward_time: 134.5440673828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2584228516
validation[          , genome  6402] predictions:    5187/  10000 (51.87%), best:    5272/10000 (52.72%), error:     16262.63770, best error:     15883.92480 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1703.6176757813s, input_fired_time: 11.3574323654, output_fired_time: 10.2935113907, propagate_forward_time: 672.0064086914, propagate_backward_time: 992.4887084961, weight_update_time: 0.8697346449, other_time: 17.4716796875
epoch time: 138.8737487793s, input_fired_time: 1.3437056541, output_fired_time: 0.0000000000, propagate_forward_time: 134.2502441406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2798004150
validation[          , genome  6402] predictions:    4835/  10000 (48.35%), best:    5272/10000 (52.72%), error:     17791.75391, best error:     15883.92480 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1705.3499755859s, input_fired_time: 11.3612642288, output_fired_time: 10.3253479004, propagate_forward_time: 672.2258300781, propagate_backward_time: 993.8673095703, weight_update_time: 0.8533602953, other_time: 17.5703125000
epoch time: 138.8485412598s, input_fired_time: 1.3693851233, output_fired_time: 0.0000000000, propagate_forward_time: 134.2148284912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2643280029
validation[          , genome  6402] predictions:    5051/  10000 (50.51%), best:    5272/10000 (52.72%), error:     16725.22266, best error:     15883.92480 on epoch:     1, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1704.6533203125s, input_fired_time: 11.3972434998, output_fired_time: 10.3558444977, propagate_forward_time: 671.9094238281, propagate_backward_time: 993.3173217773, weight_update_time: 0.8476603031, other_time: 17.6735229492
epoch time: 139.5635528564s, input_fired_time: 1.3697934151, output_fired_time: 0.0000000000, propagate_forward_time: 134.7497711182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4439849854
validation[          , genome  6402] predictions:    5397/  10000 (53.97%), best:    5397/10000 (53.97%), error:     14575.81152, best error:     14575.81152 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1704.4141845703s, input_fired_time: 11.3856782913, output_fired_time: 10.3118877411, propagate_forward_time: 672.0650024414, propagate_backward_time: 993.0770874023, weight_update_time: 0.8467873931, other_time: 17.5745849609
epoch time: 138.9683227539s, input_fired_time: 1.3647599220, output_fired_time: 0.0000000000, propagate_forward_time: 134.3128662109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2906951904
validation[          , genome  6402] predictions:    5100/  10000 (51.00%), best:    5397/10000 (53.97%), error:     16459.03516, best error:     14575.81152 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1703.0323486328s, input_fired_time: 11.3443698883, output_fired_time: 10.2909173965, propagate_forward_time: 671.5115966797, propagate_backward_time: 992.4114379883, weight_update_time: 0.8455505967, other_time: 17.4740600586
epoch time: 138.8206939697s, input_fired_time: 1.3501205444, output_fired_time: 0.0000000000, propagate_forward_time: 134.2257385254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2448425293
validation[          , genome  6402] predictions:    5494/  10000 (54.94%), best:    5494/10000 (54.94%), error:     14490.46094, best error:     14490.46094 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1703.3723144531s, input_fired_time: 11.3883466721, output_fired_time: 10.2747011185, propagate_forward_time: 671.7609863281, propagate_backward_time: 992.2855224609, weight_update_time: 0.8704220653, other_time: 17.6628417969
epoch time: 139.2677001953s, input_fired_time: 1.3774290085, output_fired_time: 0.0000000000, propagate_forward_time: 134.6244964600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2657775879
validation[          , genome  6402] predictions:    5427/  10000 (54.27%), best:    5494/10000 (54.94%), error:     15079.76953, best error:     14490.46094 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1583.5205078125s, input_fired_time: 10.8232717514, output_fired_time: 9.5689535141, propagate_forward_time: 617.5410156250, propagate_backward_time: 928.0717773438, weight_update_time: 0.8107959032, other_time: 17.5155029297
epoch time: 126.9806060791s, input_fired_time: 1.2972223759, output_fired_time: 0.0000000000, propagate_forward_time: 122.5189895630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1643905640
validation[          , genome  6402] predictions:    5057/  10000 (50.57%), best:    5494/10000 (54.94%), error:     15811.97949, best error:     14490.46094 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1562.2635498047s, input_fired_time: 10.7522773743, output_fired_time: 9.4628868103, propagate_forward_time: 607.1723022461, propagate_backward_time: 917.6580810547, weight_update_time: 0.8047099710, other_time: 17.2179565430
epoch time: 125.6936492920s, input_fired_time: 1.2498883009, output_fired_time: 0.0000000000, propagate_forward_time: 121.2263717651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2173919678
validation[          , genome  6402] predictions:    5173/  10000 (51.73%), best:    5494/10000 (54.94%), error:     15793.56934, best error:     14490.46094 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1564.5931396484s, input_fired_time: 10.7591695786, output_fired_time: 9.4249820709, propagate_forward_time: 609.0364379883, propagate_backward_time: 918.0253906250, weight_update_time: 0.8003128171, other_time: 17.3472290039
epoch time: 125.8942031860s, input_fired_time: 1.2791892290, output_fired_time: 0.0000000000, propagate_forward_time: 121.2906723022, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3243408203
validation[          , genome  6402] predictions:    5516/  10000 (55.16%), best:    5516/10000 (55.16%), error:     14428.63281, best error:     14428.63281 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1562.4991455078s, input_fired_time: 10.7842969894, output_fired_time: 9.4190406799, propagate_forward_time: 608.4905395508, propagate_backward_time: 916.3690185547, weight_update_time: 0.7932328582, other_time: 17.4362182617
epoch time: 126.7875061035s, input_fired_time: 1.2841758728, output_fired_time: 0.0000000000, propagate_forward_time: 122.0606079102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4427185059
validation[          , genome  6402] predictions:    5494/  10000 (54.94%), best:    5516/10000 (55.16%), error:     14899.85352, best error:     14428.63281 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1471.5556640625s, input_fired_time: 10.4015541077, output_fired_time: 8.9667654037, propagate_forward_time: 565.8246459961, propagate_backward_time: 868.9270019531, weight_update_time: 0.7689116001, other_time: 17.4356079102
epoch time: 116.3022155762s, input_fired_time: 1.2152385712, output_fired_time: 0.0000000000, propagate_forward_time: 111.7850952148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3018798828
validation[          , genome  6402] predictions:    5337/  10000 (53.37%), best:    5516/10000 (55.16%), error:     14927.32031, best error:     14428.63281 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402_1_r727934421_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: 0.751039
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00609594
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000243837
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: 14
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5516
read best_validation_error: 14428.6
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: 6402
read normal distribution: '1 -0.458422482013702 -2.32895350456238'
generator_str: '2103622027'
read generator: 2103622027
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 456 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: 1340.00012207031s, input_fired_time: 9.84026050567627, output_fired_time: 8.16864967346191, propagate_forward_time: 505.018157958984, propagate_backward_time: 794.159790039063, weight_update_time: 0.725710988044739, other_time: 22.813232421875
epoch time: 105.056327819824s, input_fired_time: 1.14340281486511, output_fired_time: 0, propagate_forward_time: 100.539115905762, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.37380981445313
validation[          , genome  6402] predictions:    5517/  10000 (55.17%), best:    5517/10000 (55.17%), error:     14078.50586, best error:     14078.50586 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1362.3750000000s, input_fired_time: 9.9528245926, output_fired_time: 8.2934951782, propagate_forward_time: 524.4330444336, propagate_backward_time: 801.9933471680, weight_update_time: 0.7420648932, other_time: 17.7022705078
epoch time: 113.5262374878s, input_fired_time: 1.1812826395, output_fired_time: 0.0000000000, propagate_forward_time: 109.0564575195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2884979248
validation[          , genome  6402] predictions:    5558/  10000 (55.58%), best:    5558/10000 (55.58%), error:     13642.80273, best error:     13642.80273 on epoch:    15, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1393.6237792969s, input_fired_time: 10.0587968826, output_fired_time: 8.4140806198, propagate_forward_time: 548.4638671875, propagate_backward_time: 808.9458618164, weight_update_time: 0.7404341102, other_time: 17.7411499023
epoch time: 114.0885925293s, input_fired_time: 1.1966922283, output_fired_time: 0.0000000000, propagate_forward_time: 109.5444946289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3474044800
validation[          , genome  6402] predictions:    5612/  10000 (56.12%), best:    5558/10000 (55.58%), error:     13849.28125, best error:     13642.80273 on epoch:    15, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1411.7639160156s, input_fired_time: 10.2326183319, output_fired_time: 8.5301876068, propagate_forward_time: 548.6604614258, propagate_backward_time: 826.8434448242, weight_update_time: 0.7560907006, other_time: 17.4971923828
epoch time: 115.0614776611s, input_fired_time: 1.2434408665, output_fired_time: 0.0000000000, propagate_forward_time: 110.5437164307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2743225098
validation[          , genome  6402] predictions:    5630/  10000 (56.30%), best:    5558/10000 (55.58%), error:     14039.36133, best error:     13642.80273 on epoch:    15, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1538.4725341797s, input_fired_time: 10.8145084381, output_fired_time: 9.3527126312, propagate_forward_time: 606.4030151367, propagate_backward_time: 895.4684448242, weight_update_time: 0.8149736524, other_time: 16.4339599609
epoch time: 113.1471633911s, input_fired_time: 1.2040109634, output_fired_time: 0.0000000000, propagate_forward_time: 108.7334518433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2097015381
validation[          , genome  6402] predictions:    5675/  10000 (56.75%), best:    5558/10000 (55.58%), error:     13777.43457, best error:     13642.80273 on epoch:    15, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1359.7510986328s, input_fired_time: 9.9866800308, output_fired_time: 8.2578401566, propagate_forward_time: 519.2263183594, propagate_backward_time: 805.0347290039, weight_update_time: 0.7288841009, other_time: 17.2455444336
epoch time: 106.6891326904s, input_fired_time: 1.1676636934, output_fired_time: 0.0000000000, propagate_forward_time: 102.2224502563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2990188599
validation[          , genome  6402] predictions:    5797/  10000 (57.97%), best:    5797/10000 (57.97%), error:     13296.67090, best error:     13296.67090 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1335.6660156250s, input_fired_time: 9.9192800522, output_fired_time: 8.0603199005, propagate_forward_time: 510.6178283691, propagate_backward_time: 789.4754638672, weight_update_time: 0.7139987946, other_time: 17.5931396484
epoch time: 103.8731079102s, input_fired_time: 1.1517741680, output_fired_time: 0.0000000000, propagate_forward_time: 99.3288574219, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3924789429
validation[          , genome  6402] predictions:    5605/  10000 (56.05%), best:    5797/10000 (57.97%), error:     13903.12988, best error:     13296.67090 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1390.5683593750s, input_fired_time: 10.1731948853, output_fired_time: 8.3937492371, propagate_forward_time: 536.9302368164, propagate_backward_time: 817.6461791992, weight_update_time: 0.7500614524, other_time: 17.4249267578
epoch time: 116.6646881104s, input_fired_time: 1.2402572632, output_fired_time: 0.0000000000, propagate_forward_time: 112.1027221680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3217086792
validation[          , genome  6402] predictions:    5785/  10000 (57.85%), best:    5797/10000 (57.97%), error:     13383.53125, best error:     13296.67090 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1437.2396240234s, input_fired_time: 10.3976631165, output_fired_time: 8.6543083191, propagate_forward_time: 558.9102172852, propagate_backward_time: 839.7302856445, weight_update_time: 0.7713682652, other_time: 19.5471191406
epoch time: 115.8747482300s, input_fired_time: 1.2624548674, output_fired_time: 0.0000000000, propagate_forward_time: 111.4371948242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1751022339
validation[          , genome  6402] predictions:    5830/  10000 (58.30%), best:    5797/10000 (57.97%), error:     13373.20703, best error:     13296.67090 on epoch:    19, 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_1542727803_166_6402.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_166_6402_1_r727934421_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: 19
read number_validation_images: 10000
read best_validation_predictions: 5797
read best_validation_error: 13296.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6402
read normal distribution: '1 -0.458422482013702 -2.32895350456238'
generator_str: '1576124599'
read generator: 1576124599
read generated_by_map:
1 crossover 1
reading 114 nodes.
reading 456 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: 1443.96496582031s, input_fired_time: 10.4796562194824, output_fired_time: 8.7363395690918, propagate_forward_time: 555.134521484375, propagate_backward_time: 848.595336914063, weight_update_time: 0.769290506839752, other_time: 21.0191650390625
epoch time: 120.263175964355s, input_fired_time: 1.28295409679413, output_fired_time: 0, propagate_forward_time: 114.107948303223, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.87227630615234
validation[          , genome  6402] predictions:    5716/  10000 (57.16%), best:    5797/10000 (57.97%), error:     14120.28711, best error:     13296.67090 on epoch:    19, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1386.5203857422s, input_fired_time: 10.1910791397, output_fired_time: 8.4433269501, propagate_forward_time: 529.2179565430, propagate_backward_time: 822.0928955078, weight_update_time: 0.7543188334, other_time: 16.5751342773
epoch time: 110.9661636353s, input_fired_time: 1.2123192549, output_fired_time: 0.0000000000, propagate_forward_time: 106.6371383667, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1167068481
validation[          , genome  6402] predictions:    5866/  10000 (58.66%), best:    5866/10000 (58.66%), error:     13086.32227, best error:     13086.32227 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1439.7241210938s, input_fired_time: 10.4951314926, output_fired_time: 8.7977991104, propagate_forward_time: 553.8634643555, propagate_backward_time: 850.4073486328, weight_update_time: 0.7782040834, other_time: 16.1603393555
epoch time: 126.4793395996s, input_fired_time: 1.3337650299, output_fired_time: 0.0000000000, propagate_forward_time: 122.3757858276, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7697906494
validation[          , genome  6402] predictions:    5450/  10000 (54.50%), best:    5866/10000 (58.66%), error:     14549.31250, best error:     13086.32227 on epoch:    24, 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:
epoch time: 549.9865722656s, input_fired_time: 6.0186662674, output_fired_time: 0.0000000000, propagate_forward_time: 528.5281982422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.4396972656
best training[          , genome  6402] predictions:   33310/  50000 (66.62%), best:    5866/10000 (58.66%), error:     49043.23828, best error:     13086.32227 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 104.5661468506s, input_fired_time: 1.1638976336, output_fired_time: 0.0000000000, propagate_forward_time: 99.3493728638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0528793335
   testing[          , genome  6402] predictions:    5866/  10000 (58.66%), best:    5866/10000 (58.66%), error:     13086.32227, best error:     13086.32227 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
15:03:56 (6680): called boinc_finish(0)

</stderr_txt>
]]>