Nameexact_genome_1542649503_169_6337_2
Workunit4099509
Created22 Nov 2018, 1:29:57 UTC
Sent22 Nov 2018, 1:30:08 UTC
Report deadline20 Dec 2018, 3:10:29 UTC
Received24 Nov 2018, 22:23:19 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID78968
Run time17 hours 3 min 48 sec
CPU time16 hours 50 min 6 sec
Validate stateValid
Credit7,017.43
Device peak FLOPS2.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size530.21 MB
Peak swap size550.18 MB
Peak disk usage12.45 MB

Stderr output

<core_client_version>7.8.3</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_1542649503_169_6337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6337_2_r167908246_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6337.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: 6337
read normal distribution: '1 -1.54405093193054 0.176779732108116'
generator_str: '1034780484'
read generator: 1034780484
read generated_by_map:
1 split_edge 1
reading 111 nodes.
reading 426 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: 1233021182
post shuffle 1: 355790145
epoch time: 2280.3603515625s, input_fired_time: 17.6949424743652, output_fired_time: 14.7622871398926, propagate_forward_time: 844.760192871094, propagate_backward_time: 1377.77624511719, weight_update_time: 2.1811990737915, other_time: 25.3668212890625
epoch time: 178.39826965332s, input_fired_time: 2.0997576713562, output_fired_time: 0, propagate_forward_time: 171.61116027832, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.68734741210938
validation[          , genome  6337] predictions:    4234/  10000 (42.34%), best:    4234/10000 (42.34%), error:     22733.95117, best error:     22733.95117 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2283.9404296875s, input_fired_time: 17.5587615967, output_fired_time: 14.8737430573, propagate_forward_time: 844.6057128906, propagate_backward_time: 1380.9046630859, weight_update_time: 2.1968641281, other_time: 25.9974365234
epoch time: 176.6172485352s, input_fired_time: 2.1043925285, output_fired_time: 0.0000000000, propagate_forward_time: 169.8016052246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7112579346
validation[          , genome  6337] predictions:    5191/  10000 (51.91%), best:    5191/10000 (51.91%), error:     16282.79590, best error:     16282.79590 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2297.2736816406s, input_fired_time: 17.5846080780, output_fired_time: 14.8840751648, propagate_forward_time: 854.7397460938, propagate_backward_time: 1384.2218017578, weight_update_time: 2.1855058670, other_time: 25.8433837891
epoch time: 179.5962371826s, input_fired_time: 2.0744097233, output_fired_time: 0.0000000000, propagate_forward_time: 172.9495086670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5723114014
validation[          , genome  6337] predictions:    5239/  10000 (52.39%), best:    5239/10000 (52.39%), error:     16044.56836, best error:     16044.56836 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2316.1545410156s, input_fired_time: 17.6393127441, output_fired_time: 14.9231491089, propagate_forward_time: 861.2028198242, propagate_backward_time: 1396.4079589844, weight_update_time: 2.1926972866, other_time: 25.9812011719
epoch time: 173.0226440430s, input_fired_time: 2.0285990238, output_fired_time: 0.0000000000, propagate_forward_time: 166.5389556885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4550933838
validation[          , genome  6337] predictions:    5125/  10000 (51.25%), best:    5125/10000 (51.25%), error:     15957.66602, best error:     15957.66602 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2280.7126464844s, input_fired_time: 17.5770339966, output_fired_time: 14.6857652664, propagate_forward_time: 840.5599365234, propagate_backward_time: 1382.4344482422, weight_update_time: 2.1709589958, other_time: 25.4553222656
epoch time: 184.2171325684s, input_fired_time: 2.4048717022, output_fired_time: 0.0000000000, propagate_forward_time: 176.2433624268, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5688934326
validation[          , genome  6337] predictions:    5158/  10000 (51.58%), best:    5158/10000 (51.58%), error:     15454.09863, best error:     15454.09863 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2304.8645019531s, input_fired_time: 18.0333061218, output_fired_time: 15.0608701706, propagate_forward_time: 852.4091186523, propagate_backward_time: 1392.8676757813, weight_update_time: 2.2212488651, other_time: 26.4936523438
epoch time: 177.8914642334s, input_fired_time: 2.0798962116, output_fired_time: 0.0000000000, propagate_forward_time: 171.1843566895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6272125244
validation[          , genome  6337] predictions:    5088/  10000 (50.88%), best:    5158/10000 (51.58%), error:     16314.47363, best error:     15454.09863 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2260.5878906250s, input_fired_time: 17.4408435822, output_fired_time: 14.6312751770, propagate_forward_time: 833.4809570313, propagate_backward_time: 1369.5786132813, weight_update_time: 2.1448373795, other_time: 25.4560546875
epoch time: 173.8769836426s, input_fired_time: 2.0402889252, output_fired_time: 0.0000000000, propagate_forward_time: 167.2971191406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5395812988
validation[          , genome  6337] predictions:    5382/  10000 (53.82%), best:    5382/10000 (53.82%), error:     14621.41992, best error:     14621.41992 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2275.1245117188s, input_fired_time: 17.5628681183, output_fired_time: 14.5905103683, propagate_forward_time: 841.3165893555, propagate_backward_time: 1376.1796875000, weight_update_time: 2.1640071869, other_time: 25.4746093750
epoch time: 177.8834991455s, input_fired_time: 2.1114645004, output_fired_time: 0.0000000000, propagate_forward_time: 171.1529083252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6191253662
validation[          , genome  6337] predictions:    5421/  10000 (54.21%), best:    5421/10000 (54.21%), error:     14418.12402, best error:     14418.12402 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2317.7812500000s, input_fired_time: 17.8541698456, output_fired_time: 15.0826425552, propagate_forward_time: 859.9735107422, propagate_backward_time: 1399.2664794922, weight_update_time: 2.1801860332, other_time: 25.6042480469
epoch time: 185.0473785400s, input_fired_time: 2.1571016312, output_fired_time: 0.0000000000, propagate_forward_time: 178.1113128662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7789611816
validation[          , genome  6337] predictions:    5266/  10000 (52.66%), best:    5421/10000 (54.21%), error:     15049.35059, best error:     14418.12402 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

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_1542649503_169_6337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6337_2_r167908246_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 5421
read best_validation_error: 14418.1
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: 6337
read normal distribution: '1 -1.54405093193054 0.176779732108116'
generator_str: '1327045508'
read generator: 1327045508
read generated_by_map:
1 split_edge 1
reading 111 nodes.
reading 426 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: 2137.13232421875s, input_fired_time: 16.2409000396729, output_fired_time: 14.1343774795532, propagate_forward_time: 799.477233886719, propagate_backward_time: 1283.40197753906, weight_update_time: 2.02617597579956, other_time: 23.8778076171875
epoch time: 173.402008056641s, input_fired_time: 2.05843377113342, output_fired_time: 0, propagate_forward_time: 167.11750793457, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.22605895996094
validation[          , genome  6337] predictions:    5129/  10000 (51.29%), best:    5421/10000 (54.21%), error:     16563.83789, best error:     14418.12402 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2201.1791992188s, input_fired_time: 17.0582771301, output_fired_time: 14.9398918152, propagate_forward_time: 821.8494873047, propagate_backward_time: 1322.1492919922, weight_update_time: 2.0828106403, other_time: 25.1821289063
epoch time: 157.8458099365s, input_fired_time: 1.9262338877, output_fired_time: 0.0000000000, propagate_forward_time: 151.8573455811, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0622253418
validation[          , genome  6337] predictions:    5467/  10000 (54.67%), best:    5467/10000 (54.67%), error:     14047.54102, best error:     14047.54102 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2017.2496337891s, input_fired_time: 15.7679815292, output_fired_time: 13.7241029739, propagate_forward_time: 746.5385742188, propagate_backward_time: 1217.8563232422, weight_update_time: 1.9748476744, other_time: 23.3626708984
epoch time: 153.5757446289s, input_fired_time: 1.8747296333, output_fired_time: 0.0000000000, propagate_forward_time: 147.7582702637, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9427490234
validation[          , genome  6337] predictions:    5383/  10000 (53.83%), best:    5467/10000 (54.67%), error:     14594.52344, best error:     14047.54102 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2146.0590820313s, input_fired_time: 18.1409683228, output_fired_time: 16.6460838318, propagate_forward_time: 800.6829223633, propagate_backward_time: 1282.5102539063, weight_update_time: 2.2496840954, other_time: 28.0791015625
epoch time: 175.9922943115s, input_fired_time: 2.3405389786, output_fired_time: 0.0000000000, propagate_forward_time: 168.6216888428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0300598145
validation[          , genome  6337] predictions:    5350/  10000 (53.50%), best:    5467/10000 (54.67%), error:     14758.45313, best error:     14047.54102 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2084.5141601563s, input_fired_time: 16.6763248444, output_fired_time: 14.2785406113, propagate_forward_time: 781.3075561523, propagate_backward_time: 1247.7360839844, weight_update_time: 2.0444245338, other_time: 24.5156250000
epoch time: 150.6815032959s, input_fired_time: 1.8457734585, output_fired_time: 0.0000000000, propagate_forward_time: 144.8859863281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9497375488
validation[          , genome  6337] predictions:    5597/  10000 (55.97%), best:    5597/10000 (55.97%), error:     13363.56055, best error:     13363.56055 on epoch:    13, 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_1542649503_169_6337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6337_2_r167908246_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: 13
read number_validation_images: 10000
read best_validation_predictions: 5597
read best_validation_error: 13363.6
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: 6337
read normal distribution: '1 -1.54405093193054 0.176779732108116'
generator_str: '607754899'
read generator: 607754899
read generated_by_map:
1 split_edge 1
reading 111 nodes.
reading 426 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: 1880.04272460938s, input_fired_time: 14.8818244934082, output_fired_time: 12.4300775527954, propagate_forward_time: 697.923095703125, propagate_backward_time: 1133.61767578125, weight_update_time: 1.85196936130524, other_time: 21.1900634765625
epoch time: 153.150482177734s, input_fired_time: 1.90288889408112, output_fired_time: 0, propagate_forward_time: 147.162246704102, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.08534240722656
validation[          , genome  6337] predictions:    5570/  10000 (55.70%), best:    5597/10000 (55.97%), error:     13652.98730, best error:     13363.56055 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1995.9674072266s, input_fired_time: 15.4658746719, output_fired_time: 13.0795278549, propagate_forward_time: 746.9739379883, propagate_backward_time: 1198.4648437500, weight_update_time: 1.9045540094, other_time: 21.9833984375
epoch time: 145.7272949219s, input_fired_time: 1.7186703682, output_fired_time: 0.0000000000, propagate_forward_time: 140.3147125244, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6939086914
validation[          , genome  6337] predictions:    5606/  10000 (56.06%), best:    5597/10000 (55.97%), error:     13474.02930, best error:     13363.56055 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2135.9658203125s, input_fired_time: 16.6436386108, output_fired_time: 14.0780286789, propagate_forward_time: 800.8066406250, propagate_backward_time: 1280.5192871094, weight_update_time: 1.9863669872, other_time: 23.9182128906
epoch time: 166.7091369629s, input_fired_time: 2.0162165165, output_fired_time: 0.0000000000, propagate_forward_time: 160.2682800293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4246368408
validation[          , genome  6337] predictions:    5412/  10000 (54.12%), best:    5597/10000 (55.97%), error:     14580.21777, best error:     13363.56055 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2155.7421875000s, input_fired_time: 16.7567119598, output_fired_time: 14.5068683624, propagate_forward_time: 805.1519165039, propagate_backward_time: 1294.7468261719, weight_update_time: 2.0744221210, other_time: 24.5800781250
epoch time: 155.3541870117s, input_fired_time: 1.8923799992, output_fired_time: 0.0000000000, propagate_forward_time: 149.4057159424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0560913086
validation[          , genome  6337] predictions:    5734/  10000 (57.34%), best:    5734/10000 (57.34%), error:     12941.84766, best error:     12941.84766 on epoch:    17, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2096.3400878906s, input_fired_time: 16.4201602936, output_fired_time: 13.9639730453, propagate_forward_time: 781.9111938477, propagate_backward_time: 1260.2429199219, weight_update_time: 2.0521140099, other_time: 23.8020019531
epoch time: 134.5440521240s, input_fired_time: 1.6140493155, output_fired_time: 0.0000000000, propagate_forward_time: 129.4442138672, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4857940674
validation[          , genome  6337] predictions:    5771/  10000 (57.71%), best:    5734/10000 (57.34%), error:     13302.07227, best error:     12941.84766 on epoch:    17, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2147.9108886719s, input_fired_time: 16.6420421600, output_fired_time: 14.3029861450, propagate_forward_time: 806.1693115234, propagate_backward_time: 1286.6434326172, weight_update_time: 2.0652587414, other_time: 24.1530761719
epoch time: 168.4003601074s, input_fired_time: 1.9656388760, output_fired_time: 0.0000000000, propagate_forward_time: 162.2514801025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1832427979
validation[          , genome  6337] predictions:    5527/  10000 (55.27%), best:    5734/10000 (57.34%), error:     13501.24609, best error:     12941.84766 on epoch:    17, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2111.1684570313s, input_fired_time: 16.1697063446, output_fired_time: 13.8483085632, propagate_forward_time: 789.8362426758, propagate_backward_time: 1267.7834472656, weight_update_time: 2.0066249371, other_time: 23.5307617188
epoch time: 160.6076660156s, input_fired_time: 1.8881179094, output_fired_time: 0.0000000000, propagate_forward_time: 154.6702423096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0493011475
validation[          , genome  6337] predictions:    5799/  10000 (57.99%), best:    5734/10000 (57.34%), error:     13125.46680, best error:     12941.84766 on epoch:    17, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2098.1936035156s, input_fired_time: 16.9388427734, output_fired_time: 14.5995864868, propagate_forward_time: 787.9738159180, propagate_backward_time: 1253.7991943359, weight_update_time: 2.1168978214, other_time: 24.8822021484
epoch time: 152.0299072266s, input_fired_time: 1.8770515919, output_fired_time: 0.0000000000, propagate_forward_time: 146.2123870850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9404754639
validation[          , genome  6337] predictions:    5395/  10000 (53.95%), best:    5734/10000 (57.34%), error:     14607.77246, best error:     12941.84766 on epoch:    17, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2122.9714355469s, input_fired_time: 16.2600269318, output_fired_time: 13.9260997772, propagate_forward_time: 797.4077758789, propagate_backward_time: 1271.0920410156, weight_update_time: 2.0196640491, other_time: 24.2856445313
epoch time: 162.3171997070s, input_fired_time: 1.9406081438, output_fired_time: 0.0000000000, propagate_forward_time: 156.1618804932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2147064209
validation[          , genome  6337] predictions:    5858/  10000 (58.58%), best:    5858/10000 (58.58%), error:     12878.12988, best error:     12878.12988 on epoch:    22, 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_1542649503_169_6337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_169_6337_2_r167908246_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: 22
read number_validation_images: 10000
read best_validation_predictions: 5858
read best_validation_error: 12878.1
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: 6337
read normal distribution: '1 -1.54405093193054 0.176779732108116'
generator_str: '1498174613'
read generator: 1498174613
read generated_by_map:
1 split_edge 1
reading 111 nodes.
reading 426 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: 2129.42309570313s, input_fired_time: 16.584981918335, output_fired_time: 14.0372180938721, propagate_forward_time: 796.651245117188, propagate_backward_time: 1277.79479980469, weight_update_time: 2.06284785270691, other_time: 24.35498046875
epoch time: 156.82096862793s, input_fired_time: 2.04091691970825, output_fired_time: 0, propagate_forward_time: 150.6455078125, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.13453674316406
validation[          , genome  6337] predictions:    5475/  10000 (54.75%), best:    5858/10000 (58.58%), error:     14213.52148, best error:     12878.12988 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2176.1579589844s, input_fired_time: 17.0414409637, output_fired_time: 14.4694032669, propagate_forward_time: 814.2365722656, propagate_backward_time: 1305.2861328125, weight_update_time: 2.0977551937, other_time: 25.1242675781
epoch time: 146.2933349609s, input_fired_time: 1.7854508162, output_fired_time: 0.0000000000, propagate_forward_time: 140.7423706055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7655181885
validation[          , genome  6337] predictions:    5877/  10000 (58.77%), best:    5858/10000 (58.58%), error:     12950.54004, best error:     12878.12988 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1956.3719482422s, input_fired_time: 15.6974906921, output_fired_time: 13.0922613144, propagate_forward_time: 722.9307861328, propagate_backward_time: 1182.2745361328, weight_update_time: 1.9535535574, other_time: 22.3768310547
epoch time: 145.3621978760s, input_fired_time: 1.7637536526, output_fired_time: 0.0000000000, propagate_forward_time: 139.8947296143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7037200928
validation[          , genome  6337] predictions:    5860/  10000 (58.60%), best:    5858/10000 (58.58%), error:     12912.97754, best error:     12878.12988 on epoch:    22, 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: 746.0142211914s, input_fired_time: 8.9810276031, output_fired_time: 0.0000000000, propagate_forward_time: 718.3393554688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.6938476563
best training[          , genome  6337] predictions:   33031/  50000 (66.06%), best:    5858/10000 (58.58%), error:     50048.03906, best error:     12878.12988 on epoch:    22, 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: 152.2259674072s, input_fired_time: 1.7989562750, output_fired_time: 0.0000000000, propagate_forward_time: 146.6288299561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7981872559
   testing[          , genome  6337] predictions:    5858/  10000 (58.58%), best:    5858/10000 (58.58%), error:     12878.12988, best error:     12878.12988 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
14:23:03 (7992): called boinc_finish(0)

</stderr_txt>
]]>