Nameexact_genome_1542692703_169_6394_3
Workunit4100842
Created27 Nov 2018, 21:42:00 UTC
Sent27 Nov 2018, 21:42:22 UTC
Report deadline23 Dec 2018, 2:53:37 UTC
Received28 Nov 2018, 6:50:24 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID73073
Run time6 hours 35 min 46 sec
CPU time6 hours 8 min 57 sec
Validate stateValid
Credit6,304.04
Device peak FLOPS4.61 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size526.78 MB
Peak swap size546.62 MB
Peak disk usage12.01 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_1542692703_169_6394.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6394_3_r1652831466_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_169_6394.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: 6394
read normal distribution: '0 -1.55724191665649 -0.40182688832283'
generator_str: '1160051804'
read generator: 1160051804
read generated_by_map:
1 merge_node 1
reading 102 nodes.
reading 400 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: 2134122362
post shuffle 1: 172905718
epoch time: 863.299377441406s, input_fired_time: 6.65187549591064, output_fired_time: 6.28673553466797, propagate_forward_time: 315.624664306641, propagate_backward_time: 525.100708007813, weight_update_time: 0.934093296527863, other_time: 9.6353759765625
epoch time: 66.8794021606445s, input_fired_time: 0.753817915916443, output_fired_time: 0, propagate_forward_time: 64.3775405883789, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.748046875
validation[          , genome  6394] predictions:    5227/  10000 (52.27%), best:    5227/10000 (52.27%), error:     16537.78125, best error:     16537.78125 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 878.9068603516s, input_fired_time: 6.6665587425, output_fired_time: 7.3983330727, propagate_forward_time: 323.3136291504, propagate_backward_time: 531.5657348633, weight_update_time: 0.9604584575, other_time: 9.9625854492
epoch time: 67.4785614014s, input_fired_time: 0.7815191746, output_fired_time: 0.0000000000, propagate_forward_time: 64.9316787720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7653656006
validation[          , genome  6394] predictions:    4797/  10000 (47.97%), best:    5227/10000 (52.27%), error:     17782.05664, best error:     16537.78125 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 882.5452270508s, input_fired_time: 6.5394973755, output_fired_time: 5.4403438568, propagate_forward_time: 324.5953369141, propagate_backward_time: 535.0260620117, weight_update_time: 0.9359959960, other_time: 10.9439697266
epoch time: 67.4604568481s, input_fired_time: 0.7506425381, output_fired_time: 0.0000000000, propagate_forward_time: 64.9674377441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7423782349
validation[          , genome  6394] predictions:    5161/  10000 (51.61%), best:    5161/10000 (51.61%), error:     16256.09961, best error:     16256.09961 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 882.8405151367s, input_fired_time: 6.7291927338, output_fired_time: 5.5639619827, propagate_forward_time: 325.4335632324, propagate_backward_time: 535.2180786133, weight_update_time: 0.9514449239, other_time: 9.8956909180
epoch time: 68.6103439331s, input_fired_time: 0.7977360487, output_fired_time: 0.0000000000, propagate_forward_time: 66.0961227417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7164840698
validation[          , genome  6394] predictions:    5095/  10000 (50.95%), best:    5095/10000 (50.95%), error:     16006.37793, best error:     16006.37793 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 885.2216796875s, input_fired_time: 7.4820818901, output_fired_time: 5.4147462845, propagate_forward_time: 335.5100708008, propagate_backward_time: 526.8405761719, weight_update_time: 0.9838972092, other_time: 9.9742431641
epoch time: 66.7130203247s, input_fired_time: 0.7242318392, output_fired_time: 0.0000000000, propagate_forward_time: 64.2388916016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7498931885
validation[          , genome  6394] predictions:    5310/  10000 (53.10%), best:    5310/10000 (53.10%), error:     15565.32910, best error:     15565.32910 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 877.1964721680s, input_fired_time: 6.5539917946, output_fired_time: 5.4211630821, propagate_forward_time: 324.1383361816, propagate_backward_time: 530.1939697266, weight_update_time: 0.9287608862, other_time: 10.8890380859
epoch time: 67.7171173096s, input_fired_time: 1.7478060722, output_fired_time: 0.0000000000, propagate_forward_time: 64.2205276489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7487869263
validation[          , genome  6394] predictions:    5309/  10000 (53.09%), best:    5309/10000 (53.09%), error:     15338.38574, best error:     15338.38574 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 878.3994140625s, input_fired_time: 6.4889998436, output_fired_time: 5.3517656326, propagate_forward_time: 322.4486389160, propagate_backward_time: 534.1062622070, weight_update_time: 0.9805514812, other_time: 10.0037231445
epoch time: 67.2116546631s, input_fired_time: 0.7146033645, output_fired_time: 0.0000000000, propagate_forward_time: 64.7261886597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7708663940
validation[          , genome  6394] predictions:    5200/  10000 (52.00%), best:    5309/10000 (53.09%), error:     15486.30566, best error:     15338.38574 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 880.2615966797s, input_fired_time: 7.5041480064, output_fired_time: 8.4115257263, propagate_forward_time: 324.8814086914, propagate_backward_time: 529.5141601563, weight_update_time: 0.9439062476, other_time: 9.9503784180
epoch time: 66.9200744629s, input_fired_time: 0.7150851488, output_fired_time: 0.0000000000, propagate_forward_time: 64.4669876099, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7379989624
validation[          , genome  6394] predictions:    5435/  10000 (54.35%), best:    5435/10000 (54.35%), error:     14395.35352, best error:     14395.35352 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 875.8386230469s, input_fired_time: 6.5350017548, output_fired_time: 5.3966498375, propagate_forward_time: 321.8509216309, propagate_backward_time: 532.2623291016, weight_update_time: 0.9497968554, other_time: 9.7937011719
epoch time: 68.5643844604s, input_fired_time: 0.7472460270, output_fired_time: 0.0000000000, propagate_forward_time: 66.0928573608, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7242813110
validation[          , genome  6394] predictions:    5048/  10000 (50.48%), best:    5435/10000 (54.35%), error:     15973.52441, best error:     14395.35352 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 884.7446289063s, input_fired_time: 6.6187105179, output_fired_time: 6.4061903954, propagate_forward_time: 327.6398925781, propagate_backward_time: 533.0855102539, weight_update_time: 0.9210862517, other_time: 10.9943237305
epoch time: 67.7825927734s, input_fired_time: 0.7344254255, output_fired_time: 0.0000000000, propagate_forward_time: 64.2538299561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7943344116
validation[          , genome  6394] predictions:    5108/  10000 (51.08%), best:    5435/10000 (54.35%), error:     15143.45898, best error:     14395.35352 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 879.4160766602s, input_fired_time: 6.5157499313, output_fired_time: 6.4570665359, propagate_forward_time: 319.9829101563, propagate_backward_time: 536.4481811523, weight_update_time: 1.0191583633, other_time: 10.0121459961
epoch time: 67.7506103516s, input_fired_time: 0.7358990908, output_fired_time: 0.0000000000, propagate_forward_time: 64.2209854126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7937240601
validation[          , genome  6394] predictions:    5365/  10000 (53.65%), best:    5435/10000 (54.35%), error:     14898.57227, best error:     14395.35352 on epoch:     7, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 876.7287597656s, input_fired_time: 6.5419845581, output_fired_time: 6.3734817505, propagate_forward_time: 319.2284545898, propagate_backward_time: 534.8230590820, weight_update_time: 0.9502353072, other_time: 9.7617797852
epoch time: 68.1696243286s, input_fired_time: 0.7428526878, output_fired_time: 0.0000000000, propagate_forward_time: 65.7530975342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6736755371
validation[          , genome  6394] predictions:    5399/  10000 (53.99%), best:    5399/10000 (53.99%), error:     14383.88477, best error:     14383.88477 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 877.6284790039s, input_fired_time: 6.5125017166, output_fired_time: 6.3826184273, propagate_forward_time: 319.2790832520, propagate_backward_time: 534.6618652344, weight_update_time: 0.9137902856, other_time: 10.7923583984
epoch time: 67.2970733643s, input_fired_time: 0.7327792048, output_fired_time: 0.0000000000, propagate_forward_time: 64.8318710327, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7324218750
validation[          , genome  6394] predictions:    5377/  10000 (53.77%), best:    5377/10000 (53.77%), error:     14320.63965, best error:     14320.63965 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 882.0417480469s, input_fired_time: 7.5505142212, output_fired_time: 5.4372978210, propagate_forward_time: 318.5154724121, propagate_backward_time: 539.6961669922, weight_update_time: 0.9341054559, other_time: 10.8422851563
epoch time: 67.1240310669s, input_fired_time: 0.7674661875, output_fired_time: 0.0000000000, propagate_forward_time: 64.6675567627, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6890106201
validation[          , genome  6394] predictions:    5154/  10000 (51.54%), best:    5377/10000 (53.77%), error:     15675.62793, best error:     14320.63965 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 879.1172485352s, input_fired_time: 6.4838557243, output_fired_time: 5.4276947975, propagate_forward_time: 321.3793945313, propagate_backward_time: 535.0675659180, weight_update_time: 0.9326220155, other_time: 10.7587890625
epoch time: 66.2694396973s, input_fired_time: 0.7060985565, output_fired_time: 0.0000000000, propagate_forward_time: 63.8587570190, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7045822144
validation[          , genome  6394] predictions:    5262/  10000 (52.62%), best:    5377/10000 (53.77%), error:     14619.50879, best error:     14320.63965 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 877.0855712891s, input_fired_time: 6.5125036240, output_fired_time: 5.2894706726, propagate_forward_time: 323.1476745605, propagate_backward_time: 531.5051879883, weight_update_time: 0.9456461072, other_time: 10.6306762695
epoch time: 67.5462493896s, input_fired_time: 0.7931824923, output_fired_time: 0.0000000000, propagate_forward_time: 64.9755706787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7774963379
validation[          , genome  6394] predictions:    5354/  10000 (53.54%), best:    5377/10000 (53.77%), error:     14673.16016, best error:     14320.63965 on epoch:    12, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 897.0790405273s, input_fired_time: 6.7533288002, output_fired_time: 6.4742479324, propagate_forward_time: 323.6651611328, propagate_backward_time: 550.4586181641, weight_update_time: 0.9618644714, other_time: 9.7276611328
epoch time: 66.2727890015s, input_fired_time: 0.7248146534, output_fired_time: 0.0000000000, propagate_forward_time: 63.8300857544, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7178878784
validation[          , genome  6394] predictions:    5472/  10000 (54.72%), best:    5472/10000 (54.72%), error:     13702.15820, best error:     13702.15820 on epoch:    16, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 939.9450683594s, input_fired_time: 8.2203636169, output_fired_time: 5.8076438904, propagate_forward_time: 349.5868530273, propagate_backward_time: 564.9733886719, weight_update_time: 1.0045299530, other_time: 11.3568725586
epoch time: 70.8066101074s, input_fired_time: 0.8100957870, output_fired_time: 0.0000000000, propagate_forward_time: 68.2532501221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7432632446
validation[          , genome  6394] predictions:    5331/  10000 (53.31%), best:    5472/10000 (54.72%), error:     15087.58594, best error:     13702.15820 on epoch:    16, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 861.3671875000s, input_fired_time: 8.4762449265, output_fired_time: 6.2069058418, propagate_forward_time: 315.7186584473, propagate_backward_time: 521.5339965820, weight_update_time: 0.9104004502, other_time: 9.4313354492
epoch time: 62.8786430359s, input_fired_time: 0.7147520781, output_fired_time: 0.0000000000, propagate_forward_time: 60.5710868835, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5928039551
validation[          , genome  6394] predictions:    5643/  10000 (56.43%), best:    5643/10000 (56.43%), error:     13160.72656, best error:     13160.72656 on epoch:    18, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 829.4281616211s, input_fired_time: 6.1893877983, output_fired_time: 5.0252547264, propagate_forward_time: 302.9864196777, propagate_backward_time: 506.1296691895, weight_update_time: 0.8823686242, other_time: 9.0973815918
epoch time: 62.9842147827s, input_fired_time: 0.7285034060, output_fired_time: 0.0000000000, propagate_forward_time: 60.6632652283, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5924453735
validation[          , genome  6394] predictions:    5768/  10000 (57.68%), best:    5768/10000 (57.68%), error:     13105.20410, best error:     13105.20410 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 825.7325439453s, input_fired_time: 8.1799192429, output_fired_time: 4.9781355858, propagate_forward_time: 304.2856445313, propagate_backward_time: 498.3348693848, weight_update_time: 0.8776121736, other_time: 9.9539489746
epoch time: 62.8445892334s, input_fired_time: 0.7024142742, output_fired_time: 0.0000000000, propagate_forward_time: 60.5386734009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6035003662
validation[          , genome  6394] predictions:    5738/  10000 (57.38%), best:    5768/10000 (57.68%), error:     13107.58789, best error:     13105.20410 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 854.5805053711s, input_fired_time: 6.3562150002, output_fired_time: 6.1366810799, propagate_forward_time: 310.9050292969, propagate_backward_time: 520.8248901367, weight_update_time: 0.9665102363, other_time: 10.3577270508
epoch time: 67.5514755249s, input_fired_time: 0.7581657171, output_fired_time: 0.0000000000, propagate_forward_time: 63.9903717041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8029403687
validation[          , genome  6394] predictions:    5593/  10000 (55.93%), best:    5768/10000 (57.68%), error:     14101.88867, best error:     13105.20410 on epoch:    19, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 900.5451660156s, input_fired_time: 6.7304091454, output_fired_time: 5.5012025833, propagate_forward_time: 335.4175109863, propagate_backward_time: 541.9456176758, weight_update_time: 0.9260171652, other_time: 10.9503784180
epoch time: 68.7023162842s, input_fired_time: 0.7664529085, output_fired_time: 0.0000000000, propagate_forward_time: 66.2589721680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6768875122
validation[          , genome  6394] predictions:    5817/  10000 (58.17%), best:    5817/10000 (58.17%), error:     12639.98926, best error:     12639.98926 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 884.4436645508s, input_fired_time: 6.6949734688, output_fired_time: 6.3968653679, propagate_forward_time: 323.2193298340, propagate_backward_time: 538.6051025391, weight_update_time: 0.9135326147, other_time: 9.5274658203
epoch time: 68.0123977661s, input_fired_time: 0.7626878619, output_fired_time: 0.0000000000, propagate_forward_time: 65.5694656372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6802444458
validation[          , genome  6394] predictions:    5854/  10000 (58.54%), best:    5854/10000 (58.54%), error:     12615.40723, best error:     12615.40723 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 887.1690673828s, input_fired_time: 7.6151628494, output_fired_time: 5.3840012550, propagate_forward_time: 325.8500671387, propagate_backward_time: 537.7092895508, weight_update_time: 0.9341725111, other_time: 10.6105346680
epoch time: 67.3368377686s, input_fired_time: 0.7301762700, output_fired_time: 0.0000000000, propagate_forward_time: 64.8501663208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7564926147
validation[          , genome  6394] predictions:    5835/  10000 (58.35%), best:    5854/10000 (58.54%), error:     13080.71973, best error:     12615.40723 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 884.5961303711s, input_fired_time: 7.6448616982, output_fired_time: 5.3527493477, propagate_forward_time: 325.5689392090, propagate_backward_time: 536.3865966797, weight_update_time: 0.9522851110, other_time: 9.6430664063
epoch time: 71.4839324951s, input_fired_time: 0.8487861156, output_fired_time: 0.0000000000, propagate_forward_time: 68.7443161011, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8908309937
validation[          , genome  6394] predictions:    5704/  10000 (57.04%), best:    5854/10000 (58.54%), error:     13205.26758, best error:     12615.40723 on epoch:    23, 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: 337.8618469238s, input_fired_time: 4.2054672241, output_fired_time: 0.0000000000, propagate_forward_time: 325.1245117188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.5318603516
best training[          , genome  6394] predictions:   32988/  50000 (65.98%), best:    5854/10000 (58.54%), error:     49751.90625, best error:     12615.40723 on epoch:    23, 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: 65.7629547119s, input_fired_time: 0.7648825645, output_fired_time: 0.0000000000, propagate_forward_time: 62.9183387756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0797309875
   testing[          , genome  6394] predictions:    5854/  10000 (58.54%), best:    5854/10000 (58.54%), error:     12615.40723, best error:     12615.40723 on epoch:    23, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
06:49:17 (13072): called boinc_finish(0)

</stderr_txt>
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