Nameexact_genome_1542649503_174_6349_0
Workunit4099678
Created20 Nov 2018, 3:19:29 UTC
Sent20 Nov 2018, 3:30:00 UTC
Report deadline6 Jan 2019, 12:24:03 UTC
Received26 Nov 2018, 17:48:36 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88000
Run time23 hours 48 min 45 sec
CPU time23 hours 47 min 52 sec
Validate stateValid
Credit11,842.72
Device peak FLOPS3.82 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.10 MB
Peak swap size521.50 MB
Peak disk usage10.16 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_1542649503_174_6349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6349_0_r614335369_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6349.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: 50
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: 6349
read normal distribution: '1 0 0'
generator_str: '1683410363'
read generator: 1683410363
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 351 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: 2128405363
post shuffle 1: 526186008
epoch time: 1542.78759765625s, input_fired_time: 13.2736387252808, output_fired_time: 12.4954252243042, propagate_forward_time: 617.109680175781, propagate_backward_time: 884.640380859375, weight_update_time: 1.60989320278168, other_time: 15.2683715820313
epoch time: 132.12841796875s, input_fired_time: 1.66013956069946, output_fired_time: 0, propagate_forward_time: 127.831504821777, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.63677215576172
validation[          , genome  6349] predictions:    4647/  10000 (46.47%), best:    4647/10000 (46.47%), error:     18541.38672, best error:     18541.38672 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1557.2142333984s, input_fired_time: 13.4552469254, output_fired_time: 12.6369066238, propagate_forward_time: 624.5050048828, propagate_backward_time: 890.9984130859, weight_update_time: 1.6299688816, other_time: 15.6186523438
epoch time: 130.0353240967s, input_fired_time: 1.7000285387, output_fired_time: 0.0000000000, propagate_forward_time: 125.6317291260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7035675049
validation[          , genome  6349] predictions:    4899/  10000 (48.99%), best:    4899/10000 (48.99%), error:     17081.66602, best error:     17081.66602 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1564.3145751953s, input_fired_time: 13.3796825409, output_fired_time: 12.6681661606, propagate_forward_time: 628.5554199219, propagate_backward_time: 894.2020263672, weight_update_time: 1.6254749298, other_time: 15.5092773438
epoch time: 126.3314514160s, input_fired_time: 1.6208183765, output_fired_time: 0.0000000000, propagate_forward_time: 122.1662368774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5443954468
validation[          , genome  6349] predictions:    4789/  10000 (47.89%), best:    4899/10000 (48.99%), error:     19359.81445, best error:     17081.66602 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1538.7341308594s, input_fired_time: 13.2282161713, output_fired_time: 12.4650135040, propagate_forward_time: 615.2171630859, propagate_backward_time: 882.4537353516, weight_update_time: 1.6141237020, other_time: 15.3699951172
epoch time: 126.4156951904s, input_fired_time: 1.7014490366, output_fired_time: 0.0000000000, propagate_forward_time: 121.9953536987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7188949585
validation[          , genome  6349] predictions:    4809/  10000 (48.09%), best:    4899/10000 (48.99%), error:     18421.67188, best error:     17081.66602 on epoch:     1, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1539.4241943359s, input_fired_time: 13.0450248718, output_fired_time: 12.4346885681, propagate_forward_time: 615.4188842773, propagate_backward_time: 883.3598632813, weight_update_time: 1.6062061787, other_time: 15.1657104492
epoch time: 127.3429412842s, input_fired_time: 1.7267073393, output_fired_time: 0.0000000000, propagate_forward_time: 122.9245147705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6917190552
validation[          , genome  6349] predictions:    5095/  10000 (50.95%), best:    5095/10000 (50.95%), error:     16065.62500, best error:     16065.62500 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1535.8277587891s, input_fired_time: 13.0641956329, output_fired_time: 12.4007081985, propagate_forward_time: 613.7330932617, propagate_backward_time: 881.5051879883, weight_update_time: 1.6042803526, other_time: 15.1245117188
epoch time: 127.0234527588s, input_fired_time: 1.7074313164, output_fired_time: 0.0000000000, propagate_forward_time: 122.6195373535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6964874268
validation[          , genome  6349] predictions:    5313/  10000 (53.13%), best:    5313/10000 (53.13%), error:     14773.88379, best error:     14773.88379 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1536.4509277344s, input_fired_time: 13.3099031448, output_fired_time: 12.4244298935, propagate_forward_time: 613.7313232422, propagate_backward_time: 881.4594116211, weight_update_time: 1.6213113070, other_time: 15.5258178711
epoch time: 127.0850067139s, input_fired_time: 1.6294132471, output_fired_time: 0.0000000000, propagate_forward_time: 122.9255981445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5299987793
validation[          , genome  6349] predictions:    4913/  10000 (49.13%), best:    5313/10000 (53.13%), error:     15990.47852, best error:     14773.88379 on epoch:     5, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1538.1892089844s, input_fired_time: 13.0362634659, output_fired_time: 12.3781147003, propagate_forward_time: 614.6535644531, propagate_backward_time: 883.0198974609, weight_update_time: 1.6031051874, other_time: 15.1013183594
epoch time: 127.4240722656s, input_fired_time: 1.6919913292, output_fired_time: 0.0000000000, propagate_forward_time: 123.0522994995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6797790527
validation[          , genome  6349] predictions:    5269/  10000 (52.69%), best:    5269/10000 (52.69%), error:     14574.54883, best error:     14574.54883 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1535.1142578125s, input_fired_time: 13.0771961212, output_fired_time: 12.3903732300, propagate_forward_time: 613.4318847656, propagate_backward_time: 881.0432739258, weight_update_time: 1.6048008204, other_time: 15.1715698242
epoch time: 126.1457138062s, input_fired_time: 1.6807063818, output_fired_time: 0.0000000000, propagate_forward_time: 121.7816772461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6833267212
validation[          , genome  6349] predictions:    5265/  10000 (52.65%), best:    5269/10000 (52.69%), error:     14782.82031, best error:     14574.54883 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1537.4750976563s, input_fired_time: 12.9473438263, output_fired_time: 12.3987131119, propagate_forward_time: 614.9970703125, propagate_backward_time: 882.2590332031, weight_update_time: 1.5972548723, other_time: 14.8729248047
epoch time: 126.6212234497s, input_fired_time: 1.6296062469, output_fired_time: 0.0000000000, propagate_forward_time: 122.4433517456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5482635498
validation[          , genome  6349] predictions:    5318/  10000 (53.18%), best:    5269/10000 (52.69%), error:     14595.62500, best error:     14574.54883 on epoch:     7, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1534.3093261719s, input_fired_time: 13.0354404449, output_fired_time: 12.3850555420, propagate_forward_time: 613.1587524414, propagate_backward_time: 880.6989746094, weight_update_time: 1.6013597250, other_time: 15.0311889648
epoch time: 127.0616531372s, input_fired_time: 1.6458022594, output_fired_time: 0.0000000000, propagate_forward_time: 122.8547286987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5611190796
validation[          , genome  6349] predictions:    5231/  10000 (52.31%), best:    5269/10000 (52.69%), error:     15469.94141, best error:     14574.54883 on epoch:     7, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1538.9752197266s, input_fired_time: 13.3427743912, output_fired_time: 12.4291076660, propagate_forward_time: 614.8269042969, propagate_backward_time: 882.8398437500, weight_update_time: 1.6219284534, other_time: 15.5366210938
epoch time: 128.1608734131s, input_fired_time: 1.7065963745, output_fired_time: 0.0000000000, propagate_forward_time: 123.7685928345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6856842041
validation[          , genome  6349] predictions:    5162/  10000 (51.62%), best:    5269/10000 (52.69%), error:     15663.63477, best error:     14574.54883 on epoch:     7, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1529.0588378906s, input_fired_time: 12.9024429321, output_fired_time: 12.3577375412, propagate_forward_time: 610.7410278320, propagate_backward_time: 878.2551879883, weight_update_time: 1.5903828144, other_time: 14.8023681641
epoch time: 126.3512191772s, input_fired_time: 1.6856807470, output_fired_time: 0.0000000000, propagate_forward_time: 121.9996795654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6658554077
validation[          , genome  6349] predictions:    5382/  10000 (53.82%), best:    5382/10000 (53.82%), error:     14258.85449, best error:     14258.85449 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1538.2967529297s, input_fired_time: 13.1303215027, output_fired_time: 12.4223775864, propagate_forward_time: 615.2662353516, propagate_backward_time: 882.3279418945, weight_update_time: 1.6071342230, other_time: 15.1498413086
epoch time: 126.1596450806s, input_fired_time: 1.6527296305, output_fired_time: 0.0000000000, propagate_forward_time: 121.9453353882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5615768433
validation[          , genome  6349] predictions:    5284/  10000 (52.84%), best:    5382/10000 (53.82%), error:     15116.86035, best error:     14258.85449 on epoch:    12, epoch:   13/50, 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_174_6349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6349_0_r614335369_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: 50
read reset_weights: 0
read padding: 2
read best_epoch: 12
read number_validation_images: 10000
read best_validation_predictions: 5382
read best_validation_error: 14258.9
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: 6349
read normal distribution: '1 0 0'
generator_str: '1766175753'
read generator: 1766175753
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 351 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: 1541.34790039063s, input_fired_time: 13.1230335235596, output_fired_time: 12.4657735824585, propagate_forward_time: 616.84619140625, propagate_backward_time: 883.722351074219, weight_update_time: 1.60722517967224, other_time: 15.1904907226563
epoch time: 127.759887695313s, input_fired_time: 1.62212193012238, output_fired_time: 0, propagate_forward_time: 123.58430480957, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.55345916748047
validation[          , genome  6349] predictions:    5398/  10000 (53.98%), best:    5398/10000 (53.98%), error:     14188.13184, best error:     14188.13184 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1539.1832275391s, input_fired_time: 13.0865497589, output_fired_time: 12.4214401245, propagate_forward_time: 615.9617919922, propagate_backward_time: 882.7260742188, weight_update_time: 1.6004840136, other_time: 14.9874267578
epoch time: 126.2510910034s, input_fired_time: 1.6528234482, output_fired_time: 0.0000000000, propagate_forward_time: 122.0368194580, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5614471436
validation[          , genome  6349] predictions:    5448/  10000 (54.48%), best:    5448/10000 (54.48%), error:     13570.88281, best error:     13570.88281 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1534.5899658203s, input_fired_time: 13.3725690842, output_fired_time: 12.4293403625, propagate_forward_time: 613.0818481445, propagate_backward_time: 880.2499389648, weight_update_time: 1.6166728735, other_time: 15.4562988281
epoch time: 127.5821228027s, input_fired_time: 1.7004662752, output_fired_time: 0.0000000000, propagate_forward_time: 123.2361602783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6454925537
validation[          , genome  6349] predictions:    5564/  10000 (55.64%), best:    5448/10000 (54.48%), error:     13591.86523, best error:     13570.88281 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1533.0797119141s, input_fired_time: 13.2567710876, output_fired_time: 12.4056119919, propagate_forward_time: 612.1152343750, propagate_backward_time: 879.9772338867, weight_update_time: 1.6101444960, other_time: 15.3248901367
epoch time: 126.7432861328s, input_fired_time: 1.7143313885, output_fired_time: 0.0000000000, propagate_forward_time: 122.3812103271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6477432251
validation[          , genome  6349] predictions:    5083/  10000 (50.83%), best:    5448/10000 (54.48%), error:     15883.92773, best error:     13570.88281 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1534.2858886719s, input_fired_time: 13.1748609543, output_fired_time: 12.4065971375, propagate_forward_time: 613.1335449219, propagate_backward_time: 880.4645996094, weight_update_time: 1.6036168337, other_time: 15.1063232422
epoch time: 126.9903411865s, input_fired_time: 1.6416090727, output_fired_time: 0.0000000000, propagate_forward_time: 122.8151168823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5336151123
validation[          , genome  6349] predictions:    5520/  10000 (55.20%), best:    5448/10000 (54.48%), error:     13771.95898, best error:     13570.88281 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

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_174_6349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6349_0_r614335369_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: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
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: 19
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 15
read number_validation_images: 10000
read best_validation_predictions: 5448
read best_validation_error: 13570.9
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: 6349
read normal distribution: '1 0 0'
generator_str: '276039948'
read generator: 276039948
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 351 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: 1534.58996582031s, input_fired_time: 13.305703163147, output_fired_time: 12.4379510879517, propagate_forward_time: 612.894592285156, propagate_backward_time: 880.603942871094, weight_update_time: 1.61328840255737, other_time: 15.3477783203125
epoch time: 127.775833129883s, input_fired_time: 1.64324104785919, output_fired_time: 0, propagate_forward_time: 123.601524353027, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.53106689453125
validation[          , genome  6349] predictions:    5311/  10000 (53.11%), best:    5448/10000 (54.48%), error:     14413.66309, best error:     13570.88281 on epoch:    15, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1531.5592041016s, input_fired_time: 13.0463132858, output_fired_time: 12.3902082443, propagate_forward_time: 611.3406372070, propagate_backward_time: 879.9027709961, weight_update_time: 1.5909905434, other_time: 14.8792724609
epoch time: 126.7983703613s, input_fired_time: 1.7358651161, output_fired_time: 0.0000000000, propagate_forward_time: 122.3949737549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6675338745
validation[          , genome  6349] predictions:    5546/  10000 (55.46%), best:    5448/10000 (54.48%), error:     14202.19629, best error:     13570.88281 on epoch:    15, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1534.6967773438s, input_fired_time: 13.3952770233, output_fired_time: 12.4175243378, propagate_forward_time: 612.8854980469, propagate_backward_time: 880.6047973633, weight_update_time: 1.6140097380, other_time: 15.3937377930
epoch time: 127.6737670898s, input_fired_time: 1.7131712437, output_fired_time: 0.0000000000, propagate_forward_time: 123.3136978149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6468963623
validation[          , genome  6349] predictions:    5856/  10000 (58.56%), best:    5856/10000 (58.56%), error:     12977.48438, best error:     12977.48438 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1533.0760498047s, input_fired_time: 13.0015611649, output_fired_time: 12.3759365082, propagate_forward_time: 612.7035522461, propagate_backward_time: 880.2052612305, weight_update_time: 1.5910167694, other_time: 14.7896728516
epoch time: 126.4752731323s, input_fired_time: 1.6681497097, output_fired_time: 0.0000000000, propagate_forward_time: 122.2669219971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5401992798
validation[          , genome  6349] predictions:    5561/  10000 (55.61%), best:    5856/10000 (58.56%), error:     13757.64551, best error:     12977.48438 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1532.7893066406s, input_fired_time: 13.2121267319, output_fired_time: 12.4015407562, propagate_forward_time: 612.1358032227, propagate_backward_time: 879.9562377930, weight_update_time: 1.6029173136, other_time: 15.0836181641
epoch time: 126.0423355103s, input_fired_time: 1.6392667294, output_fired_time: 0.0000000000, propagate_forward_time: 121.8491592407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5539093018
validation[          , genome  6349] predictions:    5536/  10000 (55.36%), best:    5856/10000 (58.56%), error:     13739.03613, best error:     12977.48438 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1540.3922119141s, input_fired_time: 13.3763446808, output_fired_time: 12.4392738342, propagate_forward_time: 615.9859008789, propagate_backward_time: 883.2928466797, weight_update_time: 1.6130588055, other_time: 15.2977905273
epoch time: 125.8614196777s, input_fired_time: 1.6567368507, output_fired_time: 0.0000000000, propagate_forward_time: 121.6682510376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5364303589
validation[          , genome  6349] predictions:    5642/  10000 (56.42%), best:    5856/10000 (58.56%), error:     13150.70313, best error:     12977.48438 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1533.6945800781s, input_fired_time: 13.2455244064, output_fired_time: 12.4023313522, propagate_forward_time: 612.5826416016, propagate_backward_time: 880.3411254883, weight_update_time: 1.6033363342, other_time: 15.1229858398
epoch time: 126.6692810059s, input_fired_time: 1.6503016949, output_fired_time: 0.0000000000, propagate_forward_time: 122.4873199463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5316619873
validation[          , genome  6349] predictions:    5591/  10000 (55.91%), best:    5856/10000 (58.56%), error:     14045.92285, best error:     12977.48438 on epoch:    21, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1534.5931396484s, input_fired_time: 13.1947278976, output_fired_time: 12.4016962051, propagate_forward_time: 613.0355224609, propagate_backward_time: 880.9999389648, weight_update_time: 1.5981520414, other_time: 14.9612426758
epoch time: 126.4341506958s, input_fired_time: 1.6623485088, output_fired_time: 0.0000000000, propagate_forward_time: 122.2386856079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5331192017
validation[          , genome  6349] predictions:    5748/  10000 (57.48%), best:    5748/10000 (57.48%), error:     12934.42578, best error:     12934.42578 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1535.0072021484s, input_fired_time: 13.3510169983, output_fired_time: 12.4088726044, propagate_forward_time: 613.0980224609, propagate_backward_time: 880.9149780273, weight_update_time: 1.6080805063, other_time: 15.2343139648
epoch time: 126.4218673706s, input_fired_time: 1.6929926872, output_fired_time: 0.0000000000, propagate_forward_time: 122.1251907349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6036834717
validation[          , genome  6349] predictions:    5816/  10000 (58.16%), best:    5816/10000 (58.16%), error:     12607.05078, best error:     12607.05078 on epoch:    27, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1533.8820800781s, input_fired_time: 13.3779344559, output_fired_time: 12.4266462326, propagate_forward_time: 612.7082519531, propagate_backward_time: 880.0863037109, weight_update_time: 1.6096709967, other_time: 15.2829589844
epoch time: 127.5233001709s, input_fired_time: 1.7013447285, output_fired_time: 0.0000000000, propagate_forward_time: 123.2416992188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5802536011
validation[          , genome  6349] predictions:    5693/  10000 (56.93%), best:    5816/10000 (58.16%), error:     13161.50293, best error:     12607.05078 on epoch:    27, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1534.6430664063s, input_fired_time: 13.4936475754, output_fired_time: 12.4231872559, propagate_forward_time: 612.7910766602, propagate_backward_time: 880.5294189453, weight_update_time: 1.6152262688, other_time: 15.4057006836
epoch time: 127.2452621460s, input_fired_time: 1.6794297695, output_fired_time: 0.0000000000, propagate_forward_time: 123.0352325439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5306015015
validation[          , genome  6349] predictions:    5798/  10000 (57.98%), best:    5816/10000 (58.16%), error:     12822.12988, best error:     12607.05078 on epoch:    27, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1536.4631347656s, input_fired_time: 13.1954765320, output_fired_time: 12.4020690918, propagate_forward_time: 614.2744140625, propagate_backward_time: 881.6635131836, weight_update_time: 1.5981608629, other_time: 14.9276733398
epoch time: 127.8751754761s, input_fired_time: 1.7654398680, output_fired_time: 0.0000000000, propagate_forward_time: 123.4265060425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6832275391
validation[          , genome  6349] predictions:    5719/  10000 (57.19%), best:    5816/10000 (58.16%), error:     12896.83984, best error:     12607.05078 on epoch:    27, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1535.0314941406s, input_fired_time: 13.5032119751, output_fired_time: 12.4320812225, propagate_forward_time: 612.9680786133, propagate_backward_time: 880.6964721680, weight_update_time: 1.6166189909, other_time: 15.4316406250
epoch time: 126.4037322998s, input_fired_time: 1.6766263247, output_fired_time: 0.0000000000, propagate_forward_time: 122.1898574829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5372467041
validation[          , genome  6349] predictions:    5916/  10000 (59.16%), best:    5916/10000 (59.16%), error:     12492.60840, best error:     12492.60840 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1537.6439208984s, input_fired_time: 13.1380834579, output_fired_time: 12.4182281494, propagate_forward_time: 615.3504028320, propagate_backward_time: 881.9591064453, weight_update_time: 1.5939530134, other_time: 14.7781372070
epoch time: 126.1794357300s, input_fired_time: 1.7433838844, output_fired_time: 0.0000000000, propagate_forward_time: 121.7462921143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6897583008
validation[          , genome  6349] predictions:    5874/  10000 (58.74%), best:    5916/10000 (59.16%), error:     13031.86133, best error:     12492.60840 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1532.3072509766s, input_fired_time: 13.2866754532, output_fired_time: 12.3860168457, propagate_forward_time: 612.2047729492, propagate_backward_time: 879.4033203125, weight_update_time: 1.6007336378, other_time: 15.0265502930
epoch time: 127.0735168457s, input_fired_time: 1.6988438368, output_fired_time: 0.0000000000, propagate_forward_time: 122.8486785889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5259933472
validation[          , genome  6349] predictions:    5841/  10000 (58.41%), best:    5916/10000 (59.16%), error:     12890.82324, best error:     12492.60840 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1536.3756103516s, input_fired_time: 13.4039916992, output_fired_time: 12.4175958633, propagate_forward_time: 613.4951782227, propagate_backward_time: 881.5776977539, weight_update_time: 1.6088613272, other_time: 15.4812011719
epoch time: 126.5515594482s, input_fired_time: 1.6871197224, output_fired_time: 0.0000000000, propagate_forward_time: 122.2329788208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6314620972
validation[          , genome  6349] predictions:    5888/  10000 (58.88%), best:    5916/10000 (59.16%), error:     12887.17969, best error:     12492.60840 on epoch:    31, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1532.5921630859s, input_fired_time: 13.3317680359, output_fired_time: 12.3927354813, propagate_forward_time: 611.7893066406, propagate_backward_time: 879.6668090820, weight_update_time: 1.6018440723, other_time: 15.4115600586
epoch time: 126.1548767090s, input_fired_time: 1.6773409843, output_fired_time: 0.0000000000, propagate_forward_time: 121.9423217773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5352172852
validation[          , genome  6349] predictions:    5873/  10000 (58.73%), best:    5916/10000 (59.16%), error:     12527.86621, best error:     12492.60840 on epoch:    31, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1535.9371337891s, input_fired_time: 13.4350547791, output_fired_time: 12.4342002869, propagate_forward_time: 613.8863525391, propagate_backward_time: 880.8384399414, weight_update_time: 1.6110440493, other_time: 15.3430786133
epoch time: 125.9644470215s, input_fired_time: 1.6747066975, output_fired_time: 0.0000000000, propagate_forward_time: 121.7578887939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5318527222
validation[          , genome  6349] predictions:    5917/  10000 (59.17%), best:    5917/10000 (59.17%), error:     12399.20898, best error:     12399.20898 on epoch:    36, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

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_174_6349.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542649503_174_6349_0_r614335369_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: 0.916554
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00187363
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.49451e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 37
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 36
read number_validation_images: 10000
read best_validation_predictions: 5917
read best_validation_error: 12399.2
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: 6349
read normal distribution: '1 0 0'
generator_str: '1008406219'
read generator: 1008406219
read generated_by_map:
1 crossover 1
reading 101 nodes.
reading 351 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: 1541.7763671875s, input_fired_time: 13.4345664978027, output_fired_time: 12.4591131210327, propagate_forward_time: 616.931335449219, propagate_backward_time: 883.682250976563, weight_update_time: 1.60978496074677, other_time: 15.2691040039063
epoch time: 126.870544433594s, input_fired_time: 1.73931360244751, output_fired_time: 0, propagate_forward_time: 122.472091674805, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.65914154052734
validation[          , genome  6349] predictions:    5823/  10000 (58.23%), best:    5917/10000 (59.17%), error:     12843.25781, best error:     12399.20898 on epoch:    36, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1540.0283203125s, input_fired_time: 13.2758378983, output_fired_time: 12.4538307190, propagate_forward_time: 615.6949462891, propagate_backward_time: 883.4987182617, weight_update_time: 1.6018241644, other_time: 15.1049194336
epoch time: 127.7596130371s, input_fired_time: 1.7582865953, output_fired_time: 0.0000000000, propagate_forward_time: 123.3096389771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6916885376
validation[          , genome  6349] predictions:    5768/  10000 (57.68%), best:    5917/10000 (59.17%), error:     13051.02344, best error:     12399.20898 on epoch:    36, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1542.0849609375s, input_fired_time: 13.2887086868, output_fired_time: 12.4637374878, propagate_forward_time: 617.2837524414, propagate_backward_time: 884.0225830078, weight_update_time: 1.5989865065, other_time: 15.0261840820
epoch time: 126.8591079712s, input_fired_time: 1.6907147169, output_fired_time: 0.0000000000, propagate_forward_time: 122.6292572021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5391387939
validation[          , genome  6349] predictions:    5970/  10000 (59.70%), best:    5970/10000 (59.70%), error:     12280.38086, best error:     12280.38086 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1542.0151367188s, input_fired_time: 13.4766845703, output_fired_time: 12.5081720352, propagate_forward_time: 616.1455688477, propagate_backward_time: 884.2756347656, weight_update_time: 1.6134594679, other_time: 15.6090698242
epoch time: 126.9737701416s, input_fired_time: 1.7180105448, output_fired_time: 0.0000000000, propagate_forward_time: 122.6645431519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5912170410
validation[          , genome  6349] predictions:    5798/  10000 (57.98%), best:    5970/10000 (59.70%), error:     13153.40820, best error:     12280.38086 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1531.6879882813s, input_fired_time: 13.3232364655, output_fired_time: 12.4210443497, propagate_forward_time: 610.1406250000, propagate_backward_time: 879.0338745117, weight_update_time: 1.6036604643, other_time: 16.7692260742
epoch time: 127.5599899292s, input_fired_time: 1.6837114096, output_fired_time: 0.0000000000, propagate_forward_time: 123.2641601563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6121215820
validation[          , genome  6349] predictions:    5905/  10000 (59.05%), best:    5970/10000 (59.70%), error:     12720.70898, best error:     12280.38086 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1538.5363769531s, input_fired_time: 13.6348066330, output_fired_time: 12.4440851212, propagate_forward_time: 614.1235961914, propagate_backward_time: 881.9883422852, weight_update_time: 1.6183162928, other_time: 16.3455810547
epoch time: 126.8128204346s, input_fired_time: 1.6927361488, output_fired_time: 0.0000000000, propagate_forward_time: 122.2968673706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8232192993
validation[          , genome  6349] predictions:    5977/  10000 (59.77%), best:    5977/10000 (59.77%), error:     12213.62402, best error:     12213.62402 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1537.7038574219s, input_fired_time: 13.4931583405, output_fired_time: 12.4635143280, propagate_forward_time: 614.0520019531, propagate_backward_time: 881.4171142578, weight_update_time: 1.6138817072, other_time: 16.2780761719
epoch time: 123.4069061279s, input_fired_time: 1.6302473545, output_fired_time: 0.0000000000, propagate_forward_time: 118.1124420166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6642150879
validation[          , genome  6349] predictions:    5963/  10000 (59.63%), best:    5977/10000 (59.77%), error:     12358.34863, best error:     12213.62402 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1533.5017089844s, input_fired_time: 13.4419593811, output_fired_time: 12.4127597809, propagate_forward_time: 611.4127807617, propagate_backward_time: 879.7886352539, weight_update_time: 1.6063740253, other_time: 16.4455566406
epoch time: 126.2848892212s, input_fired_time: 1.7693496943, output_fired_time: 0.0000000000, propagate_forward_time: 121.8247451782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6907958984
validation[          , genome  6349] predictions:    5915/  10000 (59.15%), best:    5977/10000 (59.77%), error:     12484.14844, best error:     12213.62402 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1539.2270507813s, input_fired_time: 13.3325920105, output_fired_time: 12.4333267212, propagate_forward_time: 614.9860839844, propagate_backward_time: 883.1327514648, weight_update_time: 1.5998005867, other_time: 15.3422241211
epoch time: 127.1518630981s, input_fired_time: 1.7314624786, output_fired_time: 0.0000000000, propagate_forward_time: 122.8274383545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5929641724
validation[          , genome  6349] predictions:    6029/  10000 (60.29%), best:    5977/10000 (59.77%), error:     12267.42773, best error:     12213.62402 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1535.7785644531s, input_fired_time: 13.3362998962, output_fired_time: 12.4167385101, propagate_forward_time: 613.7067871094, propagate_backward_time: 881.1737060547, weight_update_time: 1.5985108614, other_time: 15.1450195313
epoch time: 127.5345764160s, input_fired_time: 1.7241591215, output_fired_time: 0.0000000000, propagate_forward_time: 123.1539993286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6564178467
validation[          , genome  6349] predictions:    5855/  10000 (58.55%), best:    5977/10000 (59.77%), error:     12715.85645, best error:     12213.62402 on epoch:    42, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1534.4062500000s, input_fired_time: 13.4043273926, output_fired_time: 12.4284124374, propagate_forward_time: 611.9181518555, propagate_backward_time: 880.5122070313, weight_update_time: 1.6057052612, other_time: 16.1431274414
epoch time: 127.7456741333s, input_fired_time: 1.7812914848, output_fired_time: 0.0000000000, propagate_forward_time: 123.2461624146, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7182235718
validation[          , genome  6349] predictions:    6057/  10000 (60.57%), best:    6057/10000 (60.57%), error:     12078.84570, best error:     12078.84570 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1532.1267089844s, input_fired_time: 13.3628520966, output_fired_time: 12.4394540787, propagate_forward_time: 610.2849731445, propagate_backward_time: 879.2477416992, weight_update_time: 1.6040980816, other_time: 16.7917480469
epoch time: 127.5497436523s, input_fired_time: 1.7747970819, output_fired_time: 0.0000000000, propagate_forward_time: 123.0829010010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6920471191
validation[          , genome  6349] predictions:    5993/  10000 (59.93%), best:    6057/10000 (60.57%), error:     12318.10254, best error:     12078.84570 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1551.0705566406s, input_fired_time: 13.5919094086, output_fired_time: 12.5257196426, propagate_forward_time: 619.8245849609, propagate_backward_time: 889.1909790039, weight_update_time: 1.6188179255, other_time: 15.9373168945
epoch time: 126.9822311401s, input_fired_time: 1.7654968500, output_fired_time: 0.0000000000, propagate_forward_time: 122.4267578125, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7899780273
validation[          , genome  6349] predictions:    5907/  10000 (59.07%), best:    6057/10000 (60.57%), error:     12616.54297, best error:     12078.84570 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1540.2424316406s, input_fired_time: 13.4009857178, output_fired_time: 12.4528532028, propagate_forward_time: 614.5655517578, propagate_backward_time: 884.1437377930, weight_update_time: 1.6035503149, other_time: 15.6792602539
epoch time: 126.8663787842s, input_fired_time: 1.7671213150, output_fired_time: 0.0000000000, propagate_forward_time: 122.4484405518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6508178711
validation[          , genome  6349] predictions:    5929/  10000 (59.29%), best:    6057/10000 (60.57%), error:     12582.78418, best error:     12078.84570 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 632.3849487305s, input_fired_time: 8.5054159164, output_fired_time: 0.0000000000, propagate_forward_time: 610.9898071289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.8897094727
best training[          , genome  6349] predictions:   36070/  50000 (72.14%), best:    6057/10000 (60.57%), error:     39555.58203, best error:     12078.84570 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 127.5701293945s, input_fired_time: 1.7354723215, output_fired_time: 0.0000000000, propagate_forward_time: 123.2059020996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6287536621
   testing[          , genome  6349] predictions:    6057/  10000 (60.57%), best:    6057/10000 (60.57%), error:     12078.84570, best error:     12078.84570 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
17:47:16 (8716): called boinc_finish(0)

</stderr_txt>
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