Nameexact_genome_1542605141_175_6287_1
Workunit4098277
Created19 Nov 2018, 5:59:11 UTC
Sent19 Nov 2018, 6:09:57 UTC
Report deadline22 Jan 2019, 8:16:49 UTC
Received21 Nov 2018, 7:39:40 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID71624
Run time17 hours 48 min 37 sec
CPU time17 hours 25 min 34 sec
Validate stateValid
Credit16,022.03
Device peak FLOPS3.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</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_1542605141_175_6287.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_175_6287_1_r928935214_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_175_6287.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: 6287
read normal distribution: '0 -0.460662454366684 1.65600967407227'
generator_str: '629602260'
read generator: 629602260
read generated_by_map:
1 crossover 1
reading 105 nodes.
reading 419 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: 1073255051
post shuffle 1: 1731877475
epoch time: 2838.49267578125s, input_fired_time: 22.2436504364014, output_fired_time: 13.4981327056885, propagate_forward_time: 819.803588867188, propagate_backward_time: 1959.01110839844, weight_update_time: 0.875564396381378, other_time: 23.936279296875
epoch time: 167.014663696289s, input_fired_time: 2.14436936378479, output_fired_time: 0, propagate_forward_time: 156.907852172852, propagate_backward_time: 0, weight_update_time: 0, other_time: 7.96244812011719
validation[          , genome  6287] predictions:    5089/  10000 (50.89%), best:    5089/10000 (50.89%), error:     17521.78125, best error:     17521.78125 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2828.7880859375s, input_fired_time: 27.0843391418, output_fired_time: 18.5502414703, propagate_forward_time: 792.1815795898, propagate_backward_time: 1974.1545410156, weight_update_time: 2.8784656525, other_time: 16.8173828125
epoch time: 168.1111755371s, input_fired_time: 4.1515870094, output_fired_time: 0.0000000000, propagate_forward_time: 161.9352722168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0243225098
validation[          , genome  6287] predictions:    5286/  10000 (52.86%), best:    5286/10000 (52.86%), error:     15956.12012, best error:     15956.12012 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2835.1730957031s, input_fired_time: 29.9270210266, output_fired_time: 12.5544443130, propagate_forward_time: 806.6048583984, propagate_backward_time: 1961.2105712891, weight_update_time: 1.8687341213, other_time: 24.8762207031
epoch time: 168.1082305908s, input_fired_time: 2.1336028576, output_fired_time: 0.0000000000, propagate_forward_time: 157.9893341064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9852905273
validation[          , genome  6287] predictions:    5246/  10000 (52.46%), best:    5246/10000 (52.46%), error:     15880.55859, best error:     15880.55859 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2853.6767578125s, input_fired_time: 23.9071731567, output_fired_time: 15.6063632965, propagate_forward_time: 811.8933715820, propagate_backward_time: 1974.2061767578, weight_update_time: 1.8763706684, other_time: 28.0635986328
epoch time: 167.1285400391s, input_fired_time: 2.1098859310, output_fired_time: 0.0000000000, propagate_forward_time: 157.9751892090, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0434722900
validation[          , genome  6287] predictions:    5368/  10000 (53.68%), best:    5368/10000 (53.68%), error:     14868.48047, best error:     14868.48047 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2852.2500000000s, input_fired_time: 28.8036708832, output_fired_time: 19.7479286194, propagate_forward_time: 802.4285888672, propagate_backward_time: 1969.5701904297, weight_update_time: 0.8690482378, other_time: 31.6994628906
epoch time: 176.8080749512s, input_fired_time: 5.2261714935, output_fired_time: 0.0000000000, propagate_forward_time: 165.3858642578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1960449219
validation[          , genome  6287] predictions:    5398/  10000 (53.98%), best:    5398/10000 (53.98%), error:     14607.40527, best error:     14607.40527 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2833.6818847656s, input_fired_time: 19.7428588867, output_fired_time: 31.6580886841, propagate_forward_time: 809.3245239258, propagate_backward_time: 1942.9094238281, weight_update_time: 1.8704626560, other_time: 30.0468750000
epoch time: 167.2093353271s, input_fired_time: 3.0961551666, output_fired_time: 0.0000000000, propagate_forward_time: 161.2152557373, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8979187012
validation[          , genome  6287] predictions:    3902/  10000 (39.02%), best:    5398/10000 (53.98%), error:     42714.63281, best error:     14607.40527 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

resetting weights to those on epoch: 4
epoch time: 2841.1845703125s, input_fired_time: 29.7487106323, output_fired_time: 26.6868724823, propagate_forward_time: 803.9196166992, propagate_backward_time: 1948.9980468750, weight_update_time: 0.8701581359, other_time: 31.8312988281
epoch time: 167.0767211914s, input_fired_time: 1.0964508057, output_fired_time: 0.0000000000, propagate_forward_time: 157.9679718018, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0122985840
validation[          , genome  6287] predictions:    5443/  10000 (54.43%), best:    5398/10000 (53.98%), error:     14677.09277, best error:     14607.40527 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2853.9516601563s, input_fired_time: 24.0024757385, output_fired_time: 10.6095285416, propagate_forward_time: 783.7033081055, propagate_backward_time: 2001.4350585938, weight_update_time: 0.8750727773, other_time: 34.2011718750
epoch time: 168.0688323975s, input_fired_time: 7.1416769028, output_fired_time: 0.0000000000, propagate_forward_time: 157.0406188965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8865356445
validation[          , genome  6287] predictions:    5432/  10000 (54.32%), best:    5398/10000 (53.98%), error:     14626.72461, best error:     14607.40527 on epoch:     4, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2840.9184570313s, input_fired_time: 21.9948329926, output_fired_time: 14.6047515869, propagate_forward_time: 801.5275878906, propagate_backward_time: 1971.7908935547, weight_update_time: 2.8735568523, other_time: 31.0003662109
epoch time: 167.5741271973s, input_fired_time: 4.1147336960, output_fired_time: 0.0000000000, propagate_forward_time: 157.4955902100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9638061523
validation[          , genome  6287] predictions:    5466/  10000 (54.66%), best:    5466/10000 (54.66%), error:     14060.31445, best error:     14060.31445 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2846.4172363281s, input_fired_time: 28.8906574249, output_fired_time: 23.5860137939, propagate_forward_time: 803.9972534180, propagate_backward_time: 1969.0595703125, weight_update_time: 0.8775766492, other_time: 20.8837890625
epoch time: 169.7475128174s, input_fired_time: 3.1284694672, output_fired_time: 0.0000000000, propagate_forward_time: 164.6114349365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0076141357
validation[          , genome  6287] predictions:    5500/  10000 (55.00%), best:    5500/10000 (55.00%), error:     13538.81445, best error:     13538.81445 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2848.3688964844s, input_fired_time: 27.0060214996, output_fired_time: 20.6467018127, propagate_forward_time: 801.0164184570, propagate_backward_time: 1976.7780761719, weight_update_time: 1.8916875124, other_time: 22.9216308594
epoch time: 167.6500396729s, input_fired_time: 3.1411662102, output_fired_time: 0.0000000000, propagate_forward_time: 156.4786224365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0302581787
validation[          , genome  6287] predictions:    5626/  10000 (56.26%), best:    5500/10000 (55.00%), error:     13695.33301, best error:     13538.81445 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2866.7011718750s, input_fired_time: 24.9274616241, output_fired_time: 16.6356754303, propagate_forward_time: 816.1680908203, propagate_backward_time: 1984.8566894531, weight_update_time: 1.8794431686, other_time: 24.1131591797
epoch time: 167.4357757568s, input_fired_time: 3.1346800327, output_fired_time: 0.0000000000, propagate_forward_time: 158.3112335205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9898681641
validation[          , genome  6287] predictions:    5504/  10000 (55.04%), best:    5500/10000 (55.00%), error:     14183.52637, best error:     13538.81445 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2843.1203613281s, input_fired_time: 25.8953113556, output_fired_time: 11.5745792389, propagate_forward_time: 808.4473266602, propagate_backward_time: 1964.1386718750, weight_update_time: 2.8786003590, other_time: 33.0646972656
epoch time: 168.0632171631s, input_fired_time: 3.1368801594, output_fired_time: 0.0000000000, propagate_forward_time: 158.9487457275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9775848389
validation[          , genome  6287] predictions:    5664/  10000 (56.64%), best:    5664/10000 (56.64%), error:     13315.39453, best error:     13315.39453 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2841.4863281250s, input_fired_time: 23.8628196716, output_fired_time: 26.5516319275, propagate_forward_time: 795.4546508789, propagate_backward_time: 1972.8651123047, weight_update_time: 0.8640872836, other_time: 22.7523193359
epoch time: 167.0043182373s, input_fired_time: 3.1059684753, output_fired_time: 0.0000000000, propagate_forward_time: 155.9001159668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9982299805
validation[          , genome  6287] predictions:    5755/  10000 (57.55%), best:    5755/10000 (57.55%), error:     12931.46582, best error:     12931.46582 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2856.1723632813s, input_fired_time: 27.0154113770, output_fired_time: 11.5698280334, propagate_forward_time: 796.5995483398, propagate_backward_time: 1996.8459472656, weight_update_time: 0.8742539287, other_time: 24.1416015625
epoch time: 167.8755340576s, input_fired_time: 3.9334034920, output_fired_time: 0.0000000000, propagate_forward_time: 161.0274658203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9146575928
validation[          , genome  6287] predictions:    5742/  10000 (57.42%), best:    5755/10000 (57.55%), error:     13488.79492, best error:     12931.46582 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2850.8337402344s, input_fired_time: 32.9415512085, output_fired_time: 19.5465564728, propagate_forward_time: 786.1798706055, propagate_backward_time: 1984.0722656250, weight_update_time: 0.8615488410, other_time: 28.0932617188
epoch time: 165.8226623535s, input_fired_time: 3.0997631550, output_fired_time: 0.0000000000, propagate_forward_time: 154.7301788330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9927215576
validation[          , genome  6287] predictions:    5398/  10000 (53.98%), best:    5755/10000 (57.55%), error:     14274.64746, best error:     12931.46582 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2848.6091308594s, input_fired_time: 30.0987777710, output_fired_time: 14.6066856384, propagate_forward_time: 792.1390380859, propagate_backward_time: 1985.7313232422, weight_update_time: 2.8764257431, other_time: 26.0332031250
epoch time: 166.6679534912s, input_fired_time: 1.1166248322, output_fired_time: 0.0000000000, propagate_forward_time: 162.6002044678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9511260986
validation[          , genome  6287] predictions:    5824/  10000 (58.24%), best:    5755/10000 (57.55%), error:     12938.08887, best error:     12931.46582 on epoch:    13, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2851.5209960938s, input_fired_time: 27.6768321991, output_fired_time: 17.5811748505, propagate_forward_time: 813.4440917969, propagate_backward_time: 1966.7186279297, weight_update_time: 1.8793232441, other_time: 26.1004638672
epoch time: 169.7518768311s, input_fired_time: 4.1317739487, output_fired_time: 0.0000000000, propagate_forward_time: 161.6616668701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9584350586
validation[          , genome  6287] predictions:    5600/  10000 (56.00%), best:    5755/10000 (57.55%), error:     13626.13379, best error:     12931.46582 on epoch:    13, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2856.8300781250s, input_fired_time: 16.0477466583, output_fired_time: 20.6717586517, propagate_forward_time: 807.2275390625, propagate_backward_time: 1990.7015380859, weight_update_time: 0.9093004465, other_time: 22.1812744141
epoch time: 167.1174926758s, input_fired_time: 1.1373413801, output_fired_time: 0.0000000000, propagate_forward_time: 162.0223846436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9577636719
validation[          , genome  6287] predictions:    5997/  10000 (59.97%), best:    5997/10000 (59.97%), error:     12407.56641, best error:     12407.56641 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2839.9472656250s, input_fired_time: 23.0478420258, output_fired_time: 17.4755744934, propagate_forward_time: 826.2827758789, propagate_backward_time: 1948.1264648438, weight_update_time: 0.8647765517, other_time: 25.0146484375
epoch time: 166.0943298340s, input_fired_time: 2.0481402874, output_fired_time: 0.0000000000, propagate_forward_time: 162.0618133545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9843750000
validation[          , genome  6287] predictions:    5850/  10000 (58.50%), best:    5997/10000 (59.97%), error:     13164.30762, best error:     12407.56641 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2839.0009765625s, input_fired_time: 30.0040626526, output_fired_time: 17.5857105255, propagate_forward_time: 800.1359863281, propagate_backward_time: 1964.4239501953, weight_update_time: 0.8766423464, other_time: 26.8511962891
epoch time: 166.8701324463s, input_fired_time: 5.0311636925, output_fired_time: 0.0000000000, propagate_forward_time: 145.8002624512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.0387115479
validation[          , genome  6287] predictions:    5516/  10000 (55.16%), best:    5997/10000 (59.97%), error:     14389.11914, best error:     12407.56641 on epoch:    18, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 2856.5686035156s, input_fired_time: 28.0580844879, output_fired_time: 17.5624980927, propagate_forward_time: 808.3829345703, propagate_backward_time: 1982.5389404297, weight_update_time: 1.8753213882, other_time: 20.0261230469
epoch time: 167.4883880615s, input_fired_time: 4.1544060707, output_fired_time: 0.0000000000, propagate_forward_time: 161.4198760986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9141082764
validation[          , genome  6287] predictions:    5956/  10000 (59.56%), best:    5997/10000 (59.97%), error:     12584.26367, best error:     12407.56641 on epoch:    18, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2841.6726074219s, input_fired_time: 29.0676498413, output_fired_time: 15.5276203156, propagate_forward_time: 771.4097900391, propagate_backward_time: 1997.6292724609, weight_update_time: 0.8729125261, other_time: 28.0383300781
epoch time: 167.0090942383s, input_fired_time: 7.0900664330, output_fired_time: 0.0000000000, propagate_forward_time: 157.9817962646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9372253418
validation[          , genome  6287] predictions:    5977/  10000 (59.77%), best:    5997/10000 (59.97%), error:     12546.70313, best error:     12407.56641 on epoch:    18, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 2846.5805664063s, input_fired_time: 27.1957283020, output_fired_time: 23.4425582886, propagate_forward_time: 775.1099853516, propagate_backward_time: 1998.7801513672, weight_update_time: 2.8897852898, other_time: 22.0520019531
epoch time: 166.7838592529s, input_fired_time: 1.1322469711, output_fired_time: 0.0000000000, propagate_forward_time: 159.6703796387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9812316895
validation[          , genome  6287] predictions:    5917/  10000 (59.17%), best:    5997/10000 (59.97%), error:     12809.69434, best error:     12407.56641 on epoch:    18, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2848.7519531250s, input_fired_time: 35.2462577820, output_fired_time: 16.6513957977, propagate_forward_time: 771.2972412109, propagate_backward_time: 1998.4993896484, weight_update_time: 0.8645809889, other_time: 27.0576171875
epoch time: 168.8324584961s, input_fired_time: 3.1558012962, output_fired_time: 0.0000000000, propagate_forward_time: 159.6432037354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0334472656
validation[          , genome  6287] predictions:    5791/  10000 (57.91%), best:    5997/10000 (59.97%), error:     13067.99609, best error:     12407.56641 on epoch:    18, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2843.8554687500s, input_fired_time: 32.2687988281, output_fired_time: 22.3105773926, propagate_forward_time: 788.7433471680, propagate_backward_time: 1977.4324951172, weight_update_time: 0.8994142413, other_time: 23.1002197266
epoch time: 166.9481506348s, input_fired_time: 1.1225725412, output_fired_time: 0.0000000000, propagate_forward_time: 163.9053802490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9201965332
validation[          , genome  6287] predictions:    5955/  10000 (59.55%), best:    5997/10000 (59.97%), error:     12525.94531, best error:     12407.56641 on epoch:    18, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 2833.8549804688s, input_fired_time: 29.0997600555, output_fired_time: 25.5267715454, propagate_forward_time: 789.7355346680, propagate_backward_time: 1964.6707763672, weight_update_time: 0.8750001192, other_time: 24.8218994141
epoch time: 170.3283233643s, input_fired_time: 7.0667009354, output_fired_time: 0.0000000000, propagate_forward_time: 153.2513427734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.0102844238
validation[          , genome  6287] predictions:    5863/  10000 (58.63%), best:    5997/10000 (59.97%), error:     12976.85645, best error:     12407.56641 on epoch:    18, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 3326.0266113281s, input_fired_time: 32.5703773499, output_fired_time: 18.5315227509, propagate_forward_time: 897.1965942383, propagate_backward_time: 2348.4262695313, weight_update_time: 0.9638172984, other_time: 29.3020019531
epoch time: 180.8390808105s, input_fired_time: 3.2457566261, output_fired_time: 0.0000000000, propagate_forward_time: 170.2570037842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.3363189697
validation[          , genome  6287] predictions:    5916/  10000 (59.16%), best:    5997/10000 (59.97%), error:     12859.02246, best error:     12407.56641 on epoch:    18, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 3052.2160644531s, input_fired_time: 35.9626693726, output_fired_time: 16.1523609161, propagate_forward_time: 853.3875732422, propagate_backward_time: 2115.4284667969, weight_update_time: 0.9353123903, other_time: 31.2849121094
epoch time: 179.8805084229s, input_fired_time: 1.2225184441, output_fired_time: 0.0000000000, propagate_forward_time: 168.4460296631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2119598389
validation[          , genome  6287] predictions:    5768/  10000 (57.68%), best:    5997/10000 (59.97%), error:     13572.49902, best error:     12407.56641 on epoch:    18, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 3053.5717773438s, input_fired_time: 27.9592170715, output_fired_time: 19.2206516266, propagate_forward_time: 872.9559326172, propagate_backward_time: 2105.0834960938, weight_update_time: 1.9656682014, other_time: 28.3525390625
epoch time: 179.8268737793s, input_fired_time: 1.2446696758, output_fired_time: 0.0000000000, propagate_forward_time: 174.4883728027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0938262939
validation[          , genome  6287] predictions:    5897/  10000 (58.97%), best:    5997/10000 (59.97%), error:     13105.13672, best error:     12407.56641 on epoch:    18, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 3056.0537109375s, input_fired_time: 36.0318565369, output_fired_time: 20.2526931763, propagate_forward_time: 854.4860839844, propagate_backward_time: 2110.9440917969, weight_update_time: 4.9757409096, other_time: 34.3391113281
epoch time: 178.4745178223s, input_fired_time: 3.2515242100, output_fired_time: 0.0000000000, propagate_forward_time: 171.1000061035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1229858398
validation[          , genome  6287] predictions:    5963/  10000 (59.63%), best:    5997/10000 (59.97%), error:     12689.59277, best error:     12407.56641 on epoch:    18, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 3063.8586425781s, input_fired_time: 34.9500465393, output_fired_time: 19.0823650360, propagate_forward_time: 854.6614990234, propagate_backward_time: 2127.0229492188, weight_update_time: 0.9717781544, other_time: 28.1420898438
epoch time: 180.7148437500s, input_fired_time: 2.2336225510, output_fired_time: 0.0000000000, propagate_forward_time: 174.3376922607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1435241699
validation[          , genome  6287] predictions:    5945/  10000 (59.45%), best:    5997/10000 (59.97%), error:     12710.13379, best error:     12407.56641 on epoch:    18, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 3057.0371093750s, input_fired_time: 33.7545433044, output_fired_time: 18.1942749023, propagate_forward_time: 842.0361328125, propagate_backward_time: 2132.8657226563, weight_update_time: 2.8821070194, other_time: 30.1862792969
epoch time: 179.2424926758s, input_fired_time: 3.2526352406, output_fired_time: 0.0000000000, propagate_forward_time: 172.8061218262, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1837310791
validation[          , genome  6287] predictions:    6020/  10000 (60.20%), best:    6020/10000 (60.20%), error:     12353.92969, best error:     12353.92969 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 3052.1081542969s, input_fired_time: 28.0454654694, output_fired_time: 21.2831459045, propagate_forward_time: 842.1672973633, propagate_backward_time: 2129.5312500000, weight_update_time: 0.9206212759, other_time: 31.0810546875
epoch time: 180.0456542969s, input_fired_time: 2.2488832474, output_fired_time: 0.0000000000, propagate_forward_time: 172.6088256836, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1879425049
validation[          , genome  6287] predictions:    5966/  10000 (59.66%), best:    6020/10000 (60.20%), error:     12540.27441, best error:     12353.92969 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 3058.3105468750s, input_fired_time: 35.1126136780, output_fired_time: 18.1617412567, propagate_forward_time: 847.0402221680, propagate_backward_time: 2127.8569335938, weight_update_time: 1.9416714907, other_time: 30.1391601563
epoch time: 180.1571502686s, input_fired_time: 1.2304692268, output_fired_time: 0.0000000000, propagate_forward_time: 175.7562408447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1704406738
validation[          , genome  6287] predictions:    5961/  10000 (59.61%), best:    6020/10000 (60.20%), error:     12814.99414, best error:     12353.92969 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 3064.0944824219s, input_fired_time: 30.0808315277, output_fired_time: 18.3209972382, propagate_forward_time: 858.1707763672, propagate_backward_time: 2130.4042968750, weight_update_time: 0.9418894053, other_time: 27.1176757813
epoch time: 181.5245666504s, input_fired_time: 4.2960109711, output_fired_time: 0.0000000000, propagate_forward_time: 167.0666809082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.1618804932
validation[          , genome  6287] predictions:    6140/  10000 (61.40%), best:    6140/10000 (61.40%), error:     12270.68945, best error:     12270.68945 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 3051.9743652344s, input_fired_time: 38.0728073120, output_fired_time: 16.1525440216, propagate_forward_time: 833.6383666992, propagate_backward_time: 2119.9343261719, weight_update_time: 0.9140468836, other_time: 44.1762695313
epoch time: 180.0119628906s, input_fired_time: 1.2434633970, output_fired_time: 0.0000000000, propagate_forward_time: 171.5876007080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.1808929443
validation[          , genome  6287] predictions:    6056/  10000 (60.56%), best:    6140/10000 (61.40%), error:     12768.03320, best error:     12270.68945 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 3060.8244628906s, input_fired_time: 39.1991233826, output_fired_time: 22.0588932037, propagate_forward_time: 858.6959228516, propagate_backward_time: 2110.8361816406, weight_update_time: 1.9420256615, other_time: 30.0344238281
epoch time: 180.4767303467s, input_fired_time: 1.2801496983, output_fired_time: 0.0000000000, propagate_forward_time: 176.0531768799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1434020996
validation[          , genome  6287] predictions:    6210/  10000 (62.10%), best:    6210/10000 (62.10%), error:     12138.00293, best error:     12138.00293 on epoch:    37, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 3051.6586914063s, input_fired_time: 23.1534805298, output_fired_time: 20.2047939301, propagate_forward_time: 858.1345214844, propagate_backward_time: 2120.8840332031, weight_update_time: 1.9424104691, other_time: 29.2817382813
epoch time: 182.3323822021s, input_fired_time: 1.2777714729, output_fired_time: 0.0000000000, propagate_forward_time: 177.9129028320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1417083740
validation[          , genome  6287] predictions:    6107/  10000 (61.07%), best:    6210/10000 (62.10%), error:     12337.60254, best error:     12138.00293 on epoch:    37, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 3046.3024902344s, input_fired_time: 28.9832344055, output_fired_time: 17.2499485016, propagate_forward_time: 852.1756591797, propagate_backward_time: 2118.7194824219, weight_update_time: 0.9177871346, other_time: 29.1740722656
epoch time: 180.3408966064s, input_fired_time: 5.2883343697, output_fired_time: 0.0000000000, propagate_forward_time: 167.8387908936, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2137756348
validation[          , genome  6287] predictions:    6107/  10000 (61.07%), best:    6107/10000 (61.07%), error:     12011.44531, best error:     12011.44531 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 3054.5073242188s, input_fired_time: 27.1018695831, output_fired_time: 20.1793670654, propagate_forward_time: 864.1039428711, propagate_backward_time: 2124.8999023438, weight_update_time: 1.9632176161, other_time: 18.2221679688
epoch time: 177.6017456055s, input_fired_time: 1.2532403469, output_fired_time: 0.0000000000, propagate_forward_time: 174.1783905029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1701202393
validation[          , genome  6287] predictions:    6184/  10000 (61.84%), best:    6184/10000 (61.84%), error:     11922.87500, best error:     11922.87500 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 3063.9594726563s, input_fired_time: 28.2811756134, output_fired_time: 28.3969039917, propagate_forward_time: 858.0898437500, propagate_backward_time: 2120.0356445313, weight_update_time: 0.9262474179, other_time: 29.1557617188
epoch time: 181.8730163574s, input_fired_time: 6.2429418564, output_fired_time: 0.0000000000, propagate_forward_time: 171.4927520752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1373291016
validation[          , genome  6287] predictions:    6003/  10000 (60.03%), best:    6184/10000 (61.84%), error:     12780.43066, best error:     11922.87500 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 3052.1848144531s, input_fired_time: 26.1246623993, output_fired_time: 22.2259006500, propagate_forward_time: 857.0590209961, propagate_backward_time: 2112.5898437500, weight_update_time: 3.9488813877, other_time: 34.1853027344
epoch time: 181.9574279785s, input_fired_time: 4.3424510956, output_fired_time: 0.0000000000, propagate_forward_time: 172.5556182861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0593566895
validation[          , genome  6287] predictions:    6141/  10000 (61.41%), best:    6184/10000 (61.84%), error:     12242.23145, best error:     11922.87500 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 3050.9965820313s, input_fired_time: 37.9126434326, output_fired_time: 17.1886787415, propagate_forward_time: 868.5230712891, propagate_backward_time: 2100.2451171875, weight_update_time: 0.9297488332, other_time: 27.1269531250
epoch time: 180.2937164307s, input_fired_time: 2.3531708717, output_fired_time: 0.0000000000, propagate_forward_time: 173.7758178711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1647338867
validation[          , genome  6287] predictions:    6095/  10000 (60.95%), best:    6184/10000 (61.84%), error:     12310.33691, best error:     11922.87500 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 3054.4201660156s, input_fired_time: 36.2982177734, output_fired_time: 29.0662345886, propagate_forward_time: 861.6272583008, propagate_backward_time: 2099.4394531250, weight_update_time: 1.9608693123, other_time: 27.9892578125
epoch time: 179.8450164795s, input_fired_time: 3.3257050514, output_fired_time: 0.0000000000, propagate_forward_time: 168.3730316162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1462860107
validation[          , genome  6287] predictions:    6238/  10000 (62.38%), best:    6238/10000 (62.38%), error:     11652.87012, best error:     11652.87012 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 3053.3278808594s, input_fired_time: 21.0641708374, output_fired_time: 22.2951679230, propagate_forward_time: 878.0399169922, propagate_backward_time: 2096.7004394531, weight_update_time: 3.9557702541, other_time: 35.2282714844
epoch time: 180.4550628662s, input_fired_time: 2.2617409229, output_fired_time: 0.0000000000, propagate_forward_time: 172.0518035889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1415252686
validation[          , genome  6287] predictions:    6184/  10000 (61.84%), best:    6238/10000 (62.38%), error:     11994.71191, best error:     11652.87012 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 3039.0495605469s, input_fired_time: 38.3606414795, output_fired_time: 31.2444915771, propagate_forward_time: 839.0250244141, propagate_backward_time: 2100.1958007813, weight_update_time: 2.8375394344, other_time: 30.2236328125
epoch time: 182.0835113525s, input_fired_time: 5.3157753944, output_fired_time: 0.0000000000, propagate_forward_time: 171.5778350830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1898956299
validation[          , genome  6287] predictions:    6212/  10000 (62.12%), best:    6238/10000 (62.38%), error:     12285.40039, best error:     11652.87012 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 3051.3056640625s, input_fired_time: 32.0171623230, output_fired_time: 12.2275505066, propagate_forward_time: 863.3323364258, propagate_backward_time: 2118.6008300781, weight_update_time: 2.9694056511, other_time: 25.1279296875
epoch time: 177.8024291992s, input_fired_time: 1.2595562935, output_fired_time: 0.0000000000, propagate_forward_time: 170.3291625977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2137145996
validation[          , genome  6287] predictions:    6157/  10000 (61.57%), best:    6238/10000 (62.38%), error:     12354.96875, best error:     11652.87012 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 3044.4985351563s, input_fired_time: 29.2822875977, output_fired_time: 17.2300930023, propagate_forward_time: 857.6569213867, propagate_backward_time: 2099.0791015625, weight_update_time: 3.9646749496, other_time: 41.2502441406
epoch time: 179.7010040283s, input_fired_time: 1.2854577303, output_fired_time: 0.0000000000, propagate_forward_time: 175.3272857666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0882568359
validation[          , genome  6287] predictions:    6281/  10000 (62.81%), best:    6238/10000 (62.38%), error:     11694.39063, best error:     11652.87012 on epoch:    44, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 3050.3395996094s, input_fired_time: 31.3019924164, output_fired_time: 20.2310066223, propagate_forward_time: 867.4276123047, propagate_backward_time: 2100.2312011719, weight_update_time: 2.9498279095, other_time: 31.1477050781
epoch time: 178.4658660889s, input_fired_time: 3.3083758354, output_fired_time: 0.0000000000, propagate_forward_time: 172.1449127197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0125732422
validation[          , genome  6287] predictions:    6168/  10000 (61.68%), best:    6238/10000 (62.38%), error:     12349.65332, best error:     11652.87012 on epoch:    44, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 3053.9775390625s, input_fired_time: 25.3376388550, output_fired_time: 27.2540359497, propagate_forward_time: 876.5260009766, propagate_backward_time: 2101.1062011719, weight_update_time: 1.9370534420, other_time: 23.7536621094
epoch time: 180.1756744385s, input_fired_time: 1.2872699499, output_fired_time: 0.0000000000, propagate_forward_time: 171.8135223389, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0748748779
validation[          , genome  6287] predictions:    6123/  10000 (61.23%), best:    6238/10000 (62.38%), error:     12703.58984, best error:     11652.87012 on epoch:    44, 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: 901.4999389648s, input_fired_time: 16.4632854462, output_fired_time: 0.0000000000, propagate_forward_time: 859.2546386719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 25.7820434570
best training[          , genome  6287] predictions:   38542/  50000 (77.08%), best:    6238/10000 (62.38%), error:     32969.32031, best error:     11652.87012 on epoch:    44, 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: 183.2021179199s, input_fired_time: 2.3014683723, output_fired_time: 0.0000000000, propagate_forward_time: 168.3952331543, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.5054168701
   testing[          , genome  6287] predictions:    6238/  10000 (62.38%), best:    6238/10000 (62.38%), error:     11652.87012, best error:     11652.87012 on epoch:    44, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
08:39:06 (17004): called boinc_finish(0)

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