Nameexact_genome_1542414603_169_6118_0
Workunit4094218
Created17 Nov 2018, 1:02:49 UTC
Sent17 Nov 2018, 1:35:56 UTC
Report deadline10 Dec 2018, 20:14:34 UTC
Received19 Nov 2018, 6:57:24 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID80138
Run time6 hours 15 min 49 sec
CPU time6 hours 13 min 42 sec
Validate stateValid
Credit5,944.21
Device peak FLOPS4.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size525.64 MB
Peak swap size545.86 MB
Peak disk usage11.52 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_1542414603_169_6118.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118_0_r1401759996_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542414603_169_6118.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: 6118
read normal distribution: '1 0 0'
generator_str: '32525069'
read generator: 32525069
read generated_by_map:
1 enable_edge 1
reading 98 nodes.
reading 369 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: 1187988345
post shuffle 1: 2026626225
epoch time: 805.357177734375s, input_fired_time: 6.44522333145142, output_fired_time: 4.46993350982666, propagate_forward_time: 232.510803222656, propagate_backward_time: 554.795227050781, weight_update_time: 0.793692529201508, other_time: 7.135986328125
epoch time: 48.1741561889648s, input_fired_time: 0.65711385011673, output_fired_time: 0, propagate_forward_time: 46.3712959289551, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.14574813842773
validation[          , genome  6118] predictions:    4876/  10000 (48.76%), best:    4876/10000 (48.76%), error:     18997.31836, best error:     18997.31836 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 804.6462402344s, input_fired_time: 6.4011464119, output_fired_time: 4.4624447823, propagate_forward_time: 232.6179199219, propagate_backward_time: 553.9386596680, weight_update_time: 0.7935176492, other_time: 7.2260742188
epoch time: 48.1232986450s, input_fired_time: 0.6510498524, output_fired_time: 0.0000000000, propagate_forward_time: 46.3226470947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1496009827
validation[          , genome  6118] predictions:    5037/  10000 (50.37%), best:    5037/10000 (50.37%), error:     17520.69336, best error:     17520.69336 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 804.6743164063s, input_fired_time: 6.3709864616, output_fired_time: 4.4574718475, propagate_forward_time: 232.4086303711, propagate_backward_time: 554.2445678711, weight_update_time: 0.7895815969, other_time: 7.1926879883
epoch time: 48.0996513367s, input_fired_time: 0.6424688101, output_fired_time: 0.0000000000, propagate_forward_time: 46.3067398071, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1504440308
validation[          , genome  6118] predictions:    5226/  10000 (52.26%), best:    5226/10000 (52.26%), error:     15816.72070, best error:     15816.72070 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 805.7397460938s, input_fired_time: 6.3677959442, output_fired_time: 4.4671406746, propagate_forward_time: 232.9451751709, propagate_backward_time: 554.6694946289, weight_update_time: 0.7950531244, other_time: 7.2901000977
epoch time: 48.1849899292s, input_fired_time: 0.6384909749, output_fired_time: 0.0000000000, propagate_forward_time: 46.3778762817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1686210632
validation[          , genome  6118] predictions:    5468/  10000 (54.68%), best:    5468/10000 (54.68%), error:     14296.54199, best error:     14296.54199 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 804.6752929688s, input_fired_time: 6.3460392952, output_fired_time: 4.4682865143, propagate_forward_time: 232.4430999756, propagate_backward_time: 554.1204833984, weight_update_time: 0.7925661802, other_time: 7.2973632813
epoch time: 53.5994834900s, input_fired_time: 0.7065243721, output_fired_time: 0.0000000000, propagate_forward_time: 51.2619094849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6310501099
validation[          , genome  6118] predictions:    5315/  10000 (53.15%), best:    5468/10000 (54.68%), error:     14703.69336, best error:     14296.54199 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 819.5478515625s, input_fired_time: 6.4333391190, output_fired_time: 4.5174889565, propagate_forward_time: 236.1742095947, propagate_backward_time: 564.3818359375, weight_update_time: 0.8164854050, other_time: 8.0409545898
epoch time: 48.1628990173s, input_fired_time: 0.6390810013, output_fired_time: 0.0000000000, propagate_forward_time: 46.3723983765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1514205933
validation[          , genome  6118] predictions:    4956/  10000 (49.56%), best:    5468/10000 (54.68%), error:     16390.60742, best error:     14296.54199 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 805.8972167969s, input_fired_time: 6.3586745262, output_fired_time: 4.5093030930, propagate_forward_time: 232.9513397217, propagate_backward_time: 554.7395629883, weight_update_time: 0.7925404906, other_time: 7.3383178711
epoch time: 48.1554641724s, input_fired_time: 0.6296398044, output_fired_time: 0.0000000000, propagate_forward_time: 46.3758773804, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1499481201
validation[          , genome  6118] predictions:    5134/  10000 (51.34%), best:    5468/10000 (54.68%), error:     16458.25977, best error:     14296.54199 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 805.5387573242s, input_fired_time: 6.3439288139, output_fired_time: 4.4642901421, propagate_forward_time: 232.4808959961, propagate_backward_time: 554.9285278320, weight_update_time: 0.7918612361, other_time: 7.3211059570
epoch time: 48.3925285339s, input_fired_time: 0.6540030241, output_fired_time: 0.0000000000, propagate_forward_time: 46.5781822205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1603431702
validation[          , genome  6118] predictions:    5390/  10000 (53.90%), best:    5468/10000 (54.68%), error:     15013.77344, best error:     14296.54199 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 804.9946899414s, input_fired_time: 6.3433394432, output_fired_time: 4.4743571281, propagate_forward_time: 232.1652679443, propagate_backward_time: 554.6488037109, weight_update_time: 0.7917792201, other_time: 7.3629150391
epoch time: 48.2025070190s, input_fired_time: 0.6508674622, output_fired_time: 0.0000000000, propagate_forward_time: 46.4064674377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1451721191
validation[          , genome  6118] predictions:    5464/  10000 (54.64%), best:    5464/10000 (54.64%), error:     14051.97852, best error:     14051.97852 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 807.6990356445s, input_fired_time: 6.3571872711, output_fired_time: 4.4726076126, propagate_forward_time: 233.2061767578, propagate_backward_time: 556.2586669922, weight_update_time: 0.7952930331, other_time: 7.4044189453
epoch time: 48.3058662415s, input_fired_time: 0.6491041183, output_fired_time: 0.0000000000, propagate_forward_time: 46.5042800903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1524810791
validation[          , genome  6118] predictions:    5508/  10000 (55.08%), best:    5508/10000 (55.08%), error:     13917.95020, best error:     13917.95020 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 805.4471435547s, input_fired_time: 6.3485546112, output_fired_time: 4.4624280930, propagate_forward_time: 232.8763732910, propagate_backward_time: 554.2871704102, weight_update_time: 0.7932358384, other_time: 7.4725952148
epoch time: 48.2770690918s, input_fired_time: 0.6432598233, output_fired_time: 0.0000000000, propagate_forward_time: 46.4716033936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1622047424
validation[          , genome  6118] predictions:    5508/  10000 (55.08%), best:    5508/10000 (55.08%), error:     14366.65332, best error:     13917.95020 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 805.0233154297s, input_fired_time: 6.3550844193, output_fired_time: 4.4637913704, propagate_forward_time: 232.4787292480, propagate_backward_time: 554.4531250000, weight_update_time: 0.7940683365, other_time: 7.2725830078
epoch time: 48.1826171875s, input_fired_time: 0.6401319504, output_fired_time: 0.0000000000, propagate_forward_time: 46.3910636902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1514205933
validation[          , genome  6118] predictions:    5261/  10000 (52.61%), best:    5508/10000 (55.08%), error:     14855.00488, best error:     13917.95020 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 805.3616333008s, input_fired_time: 6.3725476265, output_fired_time: 4.4633564949, propagate_forward_time: 232.5506744385, propagate_backward_time: 554.5534667969, weight_update_time: 0.7906067967, other_time: 7.4215698242
epoch time: 48.2015838623s, input_fired_time: 0.6477572918, output_fired_time: 0.0000000000, propagate_forward_time: 46.4037590027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1500663757
validation[          , genome  6118] predictions:    5441/  10000 (54.41%), best:    5508/10000 (55.08%), error:     14543.74902, best error:     13917.95020 on epoch:     9, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 805.3095092773s, input_fired_time: 6.3591032028, output_fired_time: 4.4629664421, propagate_forward_time: 232.4743194580, propagate_backward_time: 554.7353515625, weight_update_time: 0.7909851670, other_time: 7.2777709961
epoch time: 48.2103538513s, input_fired_time: 0.6413655281, output_fired_time: 0.0000000000, propagate_forward_time: 46.4159851074, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1530036926
validation[          , genome  6118] predictions:    5533/  10000 (55.33%), best:    5508/10000 (55.08%), error:     14074.62598, best error:     13917.95020 on epoch:     9, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 805.6112060547s, input_fired_time: 6.3712043762, output_fired_time: 4.4608769417, propagate_forward_time: 232.7173309326, propagate_backward_time: 554.6934814453, weight_update_time: 0.7917272449, other_time: 7.3682861328
epoch time: 48.2250213623s, input_fired_time: 0.6471536160, output_fired_time: 0.0000000000, propagate_forward_time: 46.4198303223, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1580390930
validation[          , genome  6118] predictions:    5598/  10000 (55.98%), best:    5598/10000 (55.98%), error:     13432.66699, best error:     13432.66699 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 807.4799804688s, input_fired_time: 6.3899097443, output_fired_time: 4.4908213615, propagate_forward_time: 233.2062225342, propagate_backward_time: 555.9995727539, weight_update_time: 0.7963488698, other_time: 7.3934326172
epoch time: 48.2168426514s, input_fired_time: 0.6349685788, output_fired_time: 0.0000000000, propagate_forward_time: 46.4226417542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1592330933
validation[          , genome  6118] predictions:    5346/  10000 (53.46%), best:    5598/10000 (55.98%), error:     14593.93359, best error:     13432.66699 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 804.7614135742s, input_fired_time: 6.3694095612, output_fired_time: 4.4559617043, propagate_forward_time: 232.4676513672, propagate_backward_time: 554.2065429688, weight_update_time: 0.7921473980, other_time: 7.2619018555
epoch time: 48.1710014343s, input_fired_time: 0.6479423642, output_fired_time: 0.0000000000, propagate_forward_time: 46.3710060120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1520538330
validation[          , genome  6118] predictions:    5542/  10000 (55.42%), best:    5598/10000 (55.98%), error:     14001.71387, best error:     13432.66699 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 804.1168823242s, input_fired_time: 6.3712859154, output_fired_time: 4.4526443481, propagate_forward_time: 232.0472869873, propagate_backward_time: 554.0806884766, weight_update_time: 0.7931191921, other_time: 7.1649780273
epoch time: 48.1535377502s, input_fired_time: 0.6465747356, output_fired_time: 0.0000000000, propagate_forward_time: 46.3455581665, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1614036560
validation[          , genome  6118] predictions:    5561/  10000 (55.61%), best:    5598/10000 (55.98%), error:     13871.30176, best error:     13432.66699 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 804.9895629883s, input_fired_time: 6.3929834366, output_fired_time: 4.4663496017, propagate_forward_time: 232.3156127930, propagate_backward_time: 554.4530639648, weight_update_time: 0.7907122374, other_time: 7.3615112305
epoch time: 48.1957092285s, input_fired_time: 0.6418058872, output_fired_time: 0.0000000000, propagate_forward_time: 46.4020957947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1518058777
validation[          , genome  6118] predictions:    5677/  10000 (56.77%), best:    5677/10000 (56.77%), error:     13186.70117, best error:     13186.70117 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 804.2345581055s, input_fired_time: 6.3990397453, output_fired_time: 4.4538092613, propagate_forward_time: 232.4018859863, propagate_backward_time: 553.8397827148, weight_update_time: 0.7921141386, other_time: 7.1400756836
epoch time: 48.3427848816s, input_fired_time: 0.6598266959, output_fired_time: 0.0000000000, propagate_forward_time: 46.5298652649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1530914307
validation[          , genome  6118] predictions:    5615/  10000 (56.15%), best:    5677/10000 (56.77%), error:     13782.27246, best error:     13186.70117 on epoch:    18, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 803.4633789063s, input_fired_time: 6.3969507217, output_fired_time: 4.4594354630, propagate_forward_time: 231.9596710205, propagate_backward_time: 553.5861206055, weight_update_time: 0.7910774946, other_time: 7.0612182617
epoch time: 48.6571693420s, input_fired_time: 0.6584574580, output_fired_time: 0.0000000000, propagate_forward_time: 46.6700592041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3286514282
validation[          , genome  6118] predictions:    5668/  10000 (56.68%), best:    5677/10000 (56.77%), error:     13968.51660, best error:     13186.70117 on epoch:    18, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 803.4901123047s, input_fired_time: 6.3891077042, output_fired_time: 4.4549269676, propagate_forward_time: 232.0469818115, propagate_backward_time: 553.2789916992, weight_update_time: 0.7931203246, other_time: 7.3200683594
epoch time: 48.0914268494s, input_fired_time: 0.6501398087, output_fired_time: 0.0000000000, propagate_forward_time: 46.2910308838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1502571106
validation[          , genome  6118] predictions:    5666/  10000 (56.66%), best:    5677/10000 (56.77%), error:     13429.00977, best error:     13186.70117 on epoch:    18, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 803.2262573242s, input_fired_time: 6.4078230858, output_fired_time: 4.4557385445, propagate_forward_time: 231.7699584961, propagate_backward_time: 553.3703613281, weight_update_time: 0.7890542150, other_time: 7.2223510742
epoch time: 48.1412773132s, input_fired_time: 0.6563777924, output_fired_time: 0.0000000000, propagate_forward_time: 46.3384284973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1464729309
validation[          , genome  6118] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13058.46973, best error:     13058.46973 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 805.2254638672s, input_fired_time: 6.4361715317, output_fired_time: 4.4623227119, propagate_forward_time: 232.6013946533, propagate_backward_time: 554.4066772461, weight_update_time: 0.7918571830, other_time: 7.3189086914
epoch time: 48.1791725159s, input_fired_time: 0.6538020968, output_fired_time: 0.0000000000, propagate_forward_time: 46.3804512024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1449203491
validation[          , genome  6118] predictions:    5636/  10000 (56.36%), best:    5657/10000 (56.57%), error:     14033.22559, best error:     13058.46973 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 804.1308593750s, input_fired_time: 6.4118080139, output_fired_time: 4.4542984962, propagate_forward_time: 231.9115753174, propagate_backward_time: 554.1232910156, weight_update_time: 0.7917295694, other_time: 7.2299194336
epoch time: 48.1894683838s, input_fired_time: 0.6600925922, output_fired_time: 0.0000000000, propagate_forward_time: 46.3705825806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1587944031
validation[          , genome  6118] predictions:    5802/  10000 (58.02%), best:    5657/10000 (56.57%), error:     13061.54102, best error:     13058.46973 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 803.9191894531s, input_fired_time: 6.4258408546, output_fired_time: 4.4612741470, propagate_forward_time: 232.0538635254, propagate_backward_time: 553.7114257813, weight_update_time: 0.7894777656, other_time: 7.2667236328
epoch time: 48.1904106140s, input_fired_time: 0.6635264754, output_fired_time: 0.0000000000, propagate_forward_time: 46.3717041016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1551818848
validation[          , genome  6118] predictions:    5690/  10000 (56.90%), best:    5657/10000 (56.57%), error:     13582.17773, best error:     13058.46973 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: 240.9573059082s, input_fired_time: 3.2915427685, output_fired_time: 0.0000000000, propagate_forward_time: 232.0076293945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6581268311
best training[          , genome  6118] predictions:   32271/  50000 (64.54%), best:    5657/10000 (56.57%), error:     51034.25000, best error:     13058.46973 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: 49.6746025085s, input_fired_time: 0.6567866206, output_fired_time: 0.0000000000, propagate_forward_time: 46.3840713501, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6337432861
   testing[          , genome  6118] predictions:    5657/  10000 (56.57%), best:    5657/10000 (56.57%), error:     13058.46973, best error:     13058.46973 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
19:11:40 (12592): called boinc_finish(0)

</stderr_txt>
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