Nameexact_genome_1542127803_169_5824_1
Workunit4087220
Created13 Nov 2018, 20:44:12 UTC
Sent13 Nov 2018, 21:25:50 UTC
Report deadline4 Dec 2018, 19:52:50 UTC
Received14 Nov 2018, 11:16:57 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID44167
Run time6 hours 25 min 19 sec
CPU time6 hours 18 min 30 sec
Validate stateValid
Credit5,233.85
Device peak FLOPS3.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.18 MB
Peak swap size542.10 MB
Peak disk usage10.42 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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_1_r1836680929_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824.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: 5824
read normal distribution: '1 0 0'
generator_str: '1550759362'
read generator: 1550759362
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 1751057142
post shuffle 1: 1244159519
epoch time: 795.978393554688s, input_fired_time: 10.9135322570801, output_fired_time: 8.50629901885986, propagate_forward_time: 283.006225585938, propagate_backward_time: 473.628662109375, weight_update_time: 1.49680018424988, other_time: 19.9237060546875
epoch time: 61.1580543518066s, input_fired_time: 1.38715016841888, output_fired_time: 0, propagate_forward_time: 56.1658058166504, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.60509872436523
validation[          , genome  5824] predictions:    5277/  10000 (52.77%), best:    5277/10000 (52.77%), error:     16339.49219, best error:     16339.49219 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 804.6959838867s, input_fired_time: 11.2758073807, output_fired_time: 8.9279804230, propagate_forward_time: 286.2000427246, propagate_backward_time: 478.3938903809, weight_update_time: 1.4910105467, other_time: 19.8982543945
epoch time: 62.2108154297s, input_fired_time: 1.4094188213, output_fired_time: 0.0000000000, propagate_forward_time: 57.3939781189, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4074172974
validation[          , genome  5824] predictions:    5156/  10000 (51.56%), best:    5156/10000 (51.56%), error:     16036.21973, best error:     16036.21973 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 812.4543457031s, input_fired_time: 11.4779367447, output_fired_time: 9.0979595184, propagate_forward_time: 289.8679809570, propagate_backward_time: 482.0329589844, weight_update_time: 1.4951905012, other_time: 19.9774780273
epoch time: 63.6115989685s, input_fired_time: 1.4431271553, output_fired_time: 0.0000000000, propagate_forward_time: 58.5302124023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6382598877
validation[          , genome  5824] predictions:    5269/  10000 (52.69%), best:    5269/10000 (52.69%), error:     15183.75977, best error:     15183.75977 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 810.1297607422s, input_fired_time: 11.1394462585, output_fired_time: 8.8914556503, propagate_forward_time: 288.8052062988, propagate_backward_time: 481.2187500000, weight_update_time: 1.4625279903, other_time: 20.0748596191
epoch time: 63.0916519165s, input_fired_time: 1.5560874939, output_fired_time: 0.0000000000, propagate_forward_time: 57.6489524841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8866119385
validation[          , genome  5824] predictions:    5182/  10000 (51.82%), best:    5269/10000 (52.69%), error:     15386.66895, best error:     15183.75977 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 812.9266357422s, input_fired_time: 11.0629749298, output_fired_time: 8.8212032318, propagate_forward_time: 288.4347534180, propagate_backward_time: 484.4520263672, weight_update_time: 1.4787641764, other_time: 20.1556396484
epoch time: 64.3570327759s, input_fired_time: 1.5372177362, output_fired_time: 0.0000000000, propagate_forward_time: 59.1380882263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6817283630
validation[          , genome  5824] predictions:    5050/  10000 (50.50%), best:    5269/10000 (52.69%), error:     15704.84375, best error:     15183.75977 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 840.2121582031s, input_fired_time: 11.8349494934, output_fired_time: 9.7120409012, propagate_forward_time: 295.7246704102, propagate_backward_time: 502.7040710449, weight_update_time: 1.4830726385, other_time: 20.2364196777
epoch time: 64.4423217773s, input_fired_time: 1.5734655857, output_fired_time: 0.0000000000, propagate_forward_time: 59.2191314697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6497230530
validation[          , genome  5824] predictions:    5238/  10000 (52.38%), best:    5269/10000 (52.69%), error:     15222.36230, best error:     15183.75977 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 805.7825927734s, input_fired_time: 10.9664993286, output_fired_time: 8.5641441345, propagate_forward_time: 285.8732299805, propagate_backward_time: 480.5337524414, weight_update_time: 1.4605437517, other_time: 19.8449707031
epoch time: 61.8776588440s, input_fired_time: 1.3965611458, output_fired_time: 0.0000000000, propagate_forward_time: 56.8227462769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6583518982
validation[          , genome  5824] predictions:    5174/  10000 (51.74%), best:    5174/10000 (51.74%), error:     15112.18359, best error:     15112.18359 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 802.8975830078s, input_fired_time: 10.9425973892, output_fired_time: 8.6351728439, propagate_forward_time: 285.1095581055, propagate_backward_time: 478.2618103027, weight_update_time: 1.4710056782, other_time: 19.9483947754
epoch time: 61.9238548279s, input_fired_time: 1.3725875616, output_fired_time: 0.0000000000, propagate_forward_time: 57.0196876526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5315780640
validation[          , genome  5824] predictions:    4923/  10000 (49.23%), best:    5174/10000 (51.74%), error:     16282.80176, best error:     15112.18359 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 830.7445068359s, input_fired_time: 11.4812202454, output_fired_time: 9.4231071472, propagate_forward_time: 293.0925292969, propagate_backward_time: 496.6719055176, weight_update_time: 1.4993424416, other_time: 20.0757751465
epoch time: 64.7195434570s, input_fired_time: 1.5590493679, output_fired_time: 0.0000000000, propagate_forward_time: 59.4514770508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7090187073
validation[          , genome  5824] predictions:    5287/  10000 (52.87%), best:    5287/10000 (52.87%), error:     14484.30176, best error:     14484.30176 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 826.9394531250s, input_fired_time: 11.3063211441, output_fired_time: 9.3539314270, propagate_forward_time: 292.5250244141, propagate_backward_time: 493.6536254883, weight_update_time: 1.4926770926, other_time: 20.1005249023
epoch time: 61.8252067566s, input_fired_time: 1.3729193211, output_fired_time: 0.0000000000, propagate_forward_time: 56.9075851440, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5447006226
validation[          , genome  5824] predictions:    5282/  10000 (52.82%), best:    5287/10000 (52.87%), error:     14490.42871, best error:     14484.30176 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 794.9170532227s, input_fired_time: 10.7638235092, output_fired_time: 8.4577198029, propagate_forward_time: 283.2836608887, propagate_backward_time: 472.3047790527, weight_update_time: 1.4758828878, other_time: 20.1071166992
epoch time: 61.3282852173s, input_fired_time: 1.3422577381, output_fired_time: 0.0000000000, propagate_forward_time: 56.5047721863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4812545776
validation[          , genome  5824] predictions:    5288/  10000 (52.88%), best:    5287/10000 (52.87%), error:     14813.23438, best error:     14484.30176 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 792.0031738281s, input_fired_time: 10.8737506866, output_fired_time: 8.5367155075, propagate_forward_time: 281.8957214355, propagate_backward_time: 470.7734985352, weight_update_time: 1.4606907368, other_time: 19.9234313965
epoch time: 60.6140441895s, input_fired_time: 1.3868111372, output_fired_time: 0.0000000000, propagate_forward_time: 55.7688179016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4584159851
validation[          , genome  5824] predictions:    5464/  10000 (54.64%), best:    5464/10000 (54.64%), error:     14058.14746, best error:     14058.14746 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 787.2076416016s, input_fired_time: 10.9351806641, output_fired_time: 8.6320981979, propagate_forward_time: 279.9072265625, propagate_backward_time: 468.1918945313, weight_update_time: 1.4386925697, other_time: 19.5412597656
epoch time: 60.6636390686s, input_fired_time: 1.4000134468, output_fired_time: 0.0000000000, propagate_forward_time: 55.8135757446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4500503540
validation[          , genome  5824] predictions:    5308/  10000 (53.08%), best:    5464/10000 (54.64%), error:     14865.45898, best error:     14058.14746 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 803.4127197266s, input_fired_time: 10.8930664063, output_fired_time: 8.6114187241, propagate_forward_time: 286.1558532715, propagate_backward_time: 477.6817626953, weight_update_time: 1.4638350010, other_time: 20.0706481934
epoch time: 61.2475852966s, input_fired_time: 1.3333226442, output_fired_time: 0.0000000000, propagate_forward_time: 56.3485336304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5657272339
validation[          , genome  5824] predictions:    5361/  10000 (53.61%), best:    5464/10000 (54.64%), error:     14544.96289, best error:     14058.14746 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 794.0819091797s, input_fired_time: 10.7373828888, output_fired_time: 8.5001220703, propagate_forward_time: 282.1732177734, propagate_backward_time: 472.6053771973, weight_update_time: 1.4737544060, other_time: 20.0658264160
epoch time: 61.9519081116s, input_fired_time: 1.5059462786, output_fired_time: 0.0000000000, propagate_forward_time: 56.7041473389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7418136597
validation[          , genome  5824] predictions:    5580/  10000 (55.80%), best:    5580/10000 (55.80%), error:     13386.09082, best error:     13386.09082 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 802.3382568359s, input_fired_time: 11.0362215042, output_fired_time: 8.9152650833, propagate_forward_time: 284.8490905762, propagate_backward_time: 477.5585327148, weight_update_time: 1.4616656303, other_time: 19.9791564941
epoch time: 62.1897506714s, input_fired_time: 1.4214731455, output_fired_time: 0.0000000000, propagate_forward_time: 57.1790161133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5892601013
validation[          , genome  5824] predictions:    5349/  10000 (53.49%), best:    5580/10000 (55.80%), error:     14389.60938, best error:     13386.09082 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 809.3350830078s, input_fired_time: 11.0863914490, output_fired_time: 9.0663127899, propagate_forward_time: 286.5616760254, propagate_backward_time: 482.4940490723, weight_update_time: 1.4634010792, other_time: 20.1267089844
epoch time: 61.5715484619s, input_fired_time: 1.3546731472, output_fired_time: 0.0000000000, propagate_forward_time: 56.7198982239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4969787598
validation[          , genome  5824] predictions:    5433/  10000 (54.33%), best:    5580/10000 (55.80%), error:     14441.33594, best error:     13386.09082 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 805.1437988281s, input_fired_time: 10.9541130066, output_fired_time: 8.7971935272, propagate_forward_time: 285.5527648926, propagate_backward_time: 479.6327819824, weight_update_time: 1.4693531990, other_time: 20.2069702148
epoch time: 62.5290145874s, input_fired_time: 1.4288154840, output_fired_time: 0.0000000000, propagate_forward_time: 57.3838195801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7163810730
validation[          , genome  5824] predictions:    5465/  10000 (54.65%), best:    5580/10000 (55.80%), error:     13992.82227, best error:     13386.09082 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 803.0337524414s, input_fired_time: 10.8786935806, output_fired_time: 8.5848360062, propagate_forward_time: 284.8693237305, propagate_backward_time: 478.5836486816, weight_update_time: 1.4764462709, other_time: 20.1172180176
epoch time: 61.7725448608s, input_fired_time: 1.3732414246, output_fired_time: 0.0000000000, propagate_forward_time: 56.8600196838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5392837524
validation[          , genome  5824] predictions:    5399/  10000 (53.99%), best:    5580/10000 (55.80%), error:     14125.59766, best error:     13386.09082 on epoch:    14, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 851.2579956055s, input_fired_time: 11.8015718460, output_fired_time: 9.6792936325, propagate_forward_time: 299.6797485352, propagate_backward_time: 509.5609130859, weight_update_time: 1.5102924109, other_time: 20.5364379883
epoch time: 66.5312194824s, input_fired_time: 1.5906298161, output_fired_time: 0.0000000000, propagate_forward_time: 61.0715255737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8690643311
validation[          , genome  5824] predictions:    5649/  10000 (56.49%), best:    5580/10000 (55.80%), error:     13464.83203, best error:     13386.09082 on epoch:    14, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 810.4801025391s, input_fired_time: 11.0229597092, output_fired_time: 8.8046636581, propagate_forward_time: 287.6736755371, propagate_backward_time: 482.8174438477, weight_update_time: 1.4550580978, other_time: 20.1613464355
epoch time: 61.9919586182s, input_fired_time: 1.5086247921, output_fired_time: 0.0000000000, propagate_forward_time: 56.6705589294, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8127746582
validation[          , genome  5824] predictions:    5523/  10000 (55.23%), best:    5580/10000 (55.80%), error:     13812.75391, best error:     13386.09082 on epoch:    14, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 800.3386840820s, input_fired_time: 10.8824148178, output_fired_time: 8.4360637665, propagate_forward_time: 284.3300781250, propagate_backward_time: 476.5731811523, weight_update_time: 1.4666826725, other_time: 20.1170043945
epoch time: 61.6492614746s, input_fired_time: 1.3918832541, output_fired_time: 0.0000000000, propagate_forward_time: 56.7169532776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5404243469
validation[          , genome  5824] predictions:    5580/  10000 (55.80%), best:    5580/10000 (55.80%), error:     14071.49023, best error:     13386.09082 on epoch:    14, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 804.4494628906s, input_fired_time: 11.1011619568, output_fired_time: 8.8436965942, propagate_forward_time: 284.7508239746, propagate_backward_time: 479.8108215332, weight_update_time: 1.4697747231, other_time: 19.9429931641
epoch time: 62.2061157227s, input_fired_time: 1.4307298660, output_fired_time: 0.0000000000, propagate_forward_time: 57.2688217163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5065650940
validation[          , genome  5824] predictions:    5480/  10000 (54.80%), best:    5580/10000 (55.80%), error:     14118.02734, best error:     13386.09082 on epoch:    14, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 819.1787109375s, input_fired_time: 11.2897977829, output_fired_time: 8.9874067307, propagate_forward_time: 288.8698730469, propagate_backward_time: 489.8962402344, weight_update_time: 1.4795477390, other_time: 20.1353759766
epoch time: 63.5545883179s, input_fired_time: 1.4829193354, output_fired_time: 0.0000000000, propagate_forward_time: 58.4590797424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6125907898
validation[          , genome  5824] predictions:    5628/  10000 (56.28%), best:    5628/10000 (56.28%), error:     13334.12500, best error:     13334.12500 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 824.1160278320s, input_fired_time: 11.3599224091, output_fired_time: 8.9993247986, propagate_forward_time: 292.4651184082, propagate_backward_time: 490.8315124512, weight_update_time: 1.4881759882, other_time: 20.4601440430
epoch time: 63.8489112854s, input_fired_time: 1.4760260582, output_fired_time: 0.0000000000, propagate_forward_time: 58.6910743713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6818122864
validation[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5628/10000 (56.28%), error:     13626.90918, best error:     13334.12500 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 821.8211669922s, input_fired_time: 11.3324050903, output_fired_time: 9.0012893677, propagate_forward_time: 291.6093444824, propagate_backward_time: 489.6560668945, weight_update_time: 1.4795843363, other_time: 20.2220764160
epoch time: 63.2135848999s, input_fired_time: 1.4204338789, output_fired_time: 0.0000000000, propagate_forward_time: 58.2202301025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5729217529
validation[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5679/10000 (56.79%), error:     13072.01953, best error:     13072.01953 on epoch:    25, 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: 333.7316589355s, input_fired_time: 8.0397224426, output_fired_time: 0.0000000000, propagate_forward_time: 306.9233093262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.7686157227
best training[          , genome  5824] predictions:   32100/  50000 (64.20%), best:    5679/10000 (56.79%), error:     52586.64063, best error:     13072.01953 on epoch:    25, 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: 66.9130630493s, input_fired_time: 1.6300339699, output_fired_time: 0.0000000000, propagate_forward_time: 61.4470977783, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8359298706
   testing[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5679/10000 (56.79%), error:     13072.01953, best error:     13072.01953 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
07:15:12 (2032): called boinc_finish(0)

</stderr_txt>
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