Nameexact_genome_1512568488_43_6777_1
Workunit2605163
Created7 Dec 2017, 21:50:58 UTC
Sent7 Dec 2017, 21:59:27 UTC
Report deadline20 Dec 2017, 3:21:16 UTC
Received9 Dec 2017, 7:51:36 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID67876
Run time5 hours 13 min 57 sec
CPU time4 hours 57 min 51 sec
Validate stateValid
Credit3,055.87
Device peak FLOPS3.04 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>
02190232, other_time: 2.4601745605
epoch time: 32.6701545715s, input_fired_time: 0.1782598048, output_fired_time: 0.0000000000, propagate_forward_time: 32.0540008545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4378929138
validation[          , genome  6777] predictions:    9792/  10000 (97.92%), best:    9792/10000 (97.92%), error:       728.40692, best error:       728.40692 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 395.8523254395s, input_fired_time: 2.4652299881, output_fired_time: 3.3586146832, propagate_forward_time: 146.6373596191, propagate_backward_time: 236.8775177002, weight_update_time: 0.1523148566, other_time: 6.5135955811
epoch time: 33.5439987183s, input_fired_time: 0.2115218490, output_fired_time: 0.0000000000, propagate_forward_time: 32.7853698730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5471076965
validation[          , genome  6777] predictions:    9742/  10000 (97.42%), best:    9792/10000 (97.92%), error:       848.08276, best error:       728.40692 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 410.3017272949s, input_fired_time: 6.5169901848, output_fired_time: 2.4331705570, propagate_forward_time: 149.4494476318, propagate_backward_time: 243.2660827637, weight_update_time: 0.1582118124, other_time: 8.6360321045
epoch time: 30.5028915405s, input_fired_time: 1.1791713238, output_fired_time: 0.0000000000, propagate_forward_time: 28.8890018463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4347190857
validation[          , genome  6777] predictions:    9791/  10000 (97.91%), best:    9792/10000 (97.92%), error:       735.04742, best error:       728.40692 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 402.5922546387s, input_fired_time: 4.4953217506, output_fired_time: 1.3671606779, propagate_forward_time: 148.3670654297, propagate_backward_time: 244.8199157715, weight_update_time: 1.1603149176, other_time: 3.5427856445
epoch time: 34.1528472900s, input_fired_time: 1.2075544596, output_fired_time: 0.0000000000, propagate_forward_time: 30.4595985413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4856948853
validation[          , genome  6777] predictions:    9768/  10000 (97.68%), best:    9792/10000 (97.92%), error:       754.58466, best error:       728.40692 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 401.1692810059s, input_fired_time: 1.4850478172, output_fired_time: 1.3670294285, propagate_forward_time: 147.7399749756, propagate_backward_time: 242.9764099121, weight_update_time: 2.1643555164, other_time: 7.6008148193
epoch time: 32.7746963501s, input_fired_time: 0.2013693452, output_fired_time: 0.0000000000, propagate_forward_time: 32.0972595215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4760665894
validation[          , genome  6777] predictions:    9757/  10000 (97.57%), best:    9792/10000 (97.92%), error:       821.53986, best error:       728.40692 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 464.7885437012s, input_fired_time: 3.8129019737, output_fired_time: 2.6369047165, propagate_forward_time: 166.4482574463, propagate_backward_time: 281.6560974121, weight_update_time: 1.1962504387, other_time: 10.2344055176
epoch time: 36.5730934143s, input_fired_time: 0.2205050290, output_fired_time: 0.0000000000, propagate_forward_time: 35.7842254639, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5683631897
validation[          , genome  6777] predictions:    9760/  10000 (97.60%), best:    9792/10000 (97.92%), error:       837.33362, best error:       728.40692 on epoch:    27, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 467.3090515137s, input_fired_time: 5.8334059715, output_fired_time: 7.6616525650, propagate_forward_time: 167.6664276123, propagate_backward_time: 278.8942565918, weight_update_time: 0.1937449574, other_time: 7.2533264160
epoch time: 38.0365142822s, input_fired_time: 0.2343943864, output_fired_time: 0.0000000000, propagate_forward_time: 36.2125282288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5895919800
validation[          , genome  6777] predictions:    9759/  10000 (97.59%), best:    9792/10000 (97.92%), error:       793.79419, best error:       728.40692 on epoch:    27, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 448.0887756348s, input_fired_time: 7.6942224503, output_fired_time: 4.5317134857, propagate_forward_time: 175.8155517578, propagate_backward_time: 254.1678314209, weight_update_time: 0.1783863753, other_time: 5.8794708252
epoch time: 35.1020698547s, input_fired_time: 0.2010169923, output_fired_time: 0.0000000000, propagate_forward_time: 34.3978500366, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5032043457
validation[          , genome  6777] predictions:    9701/  10000 (97.01%), best:    9792/10000 (97.92%), error:       951.24805, best error:       728.40692 on epoch:    27, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 427.8439331055s, input_fired_time: 3.5819473267, output_fired_time: 1.4604812860, propagate_forward_time: 171.0105743408, propagate_backward_time: 242.0106964111, weight_update_time: 0.1663968563, other_time: 9.7802429199
epoch time: 31.6834526062s, input_fired_time: 0.1822985858, output_fired_time: 0.0000000000, propagate_forward_time: 27.0413970947, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4597568512
validation[          , genome  6777] predictions:    9741/  10000 (97.41%), best:    9792/10000 (97.92%), error:       857.05542, best error:       728.40692 on epoch:    27, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 412.6613159180s, input_fired_time: 5.5625576973, output_fired_time: 2.4455757141, propagate_forward_time: 189.0843200684, propagate_backward_time: 209.8525238037, weight_update_time: 0.1620334685, other_time: 5.7163238525
epoch time: 34.2759552002s, input_fired_time: 0.1891106069, output_fired_time: 0.0000000000, propagate_forward_time: 32.7183532715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3684921265
validation[          , genome  6777] predictions:    9758/  10000 (97.58%), best:    9792/10000 (97.92%), error:       792.28748, best error:       728.40692 on epoch:    27, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 409.8804016113s, input_fired_time: 3.5092620850, output_fired_time: 2.3978557587, propagate_forward_time: 160.5381469727, propagate_backward_time: 239.8287658691, weight_update_time: 0.1598245949, other_time: 3.6063842773
epoch time: 34.7137985229s, input_fired_time: 0.1902093291, output_fired_time: 0.0000000000, propagate_forward_time: 34.0533676147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4702224731
validation[          , genome  6777] predictions:    9783/  10000 (97.83%), best:    9792/10000 (97.92%), error:       736.80109, best error:       728.40692 on epoch:    27, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 420.4564514160s, input_fired_time: 2.5474951267, output_fired_time: 4.4360780716, propagate_forward_time: 182.8021697998, propagate_backward_time: 225.9805145264, weight_update_time: 0.1669761837, other_time: 4.6902160645
epoch time: 36.8761329651s, input_fired_time: 0.2109444439, output_fired_time: 0.0000000000, propagate_forward_time: 36.1491394043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5160484314
validation[          , genome  6777] predictions:    9761/  10000 (97.61%), best:    9792/10000 (97.92%), error:       773.52802, best error:       728.40692 on epoch:    27, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 412.1863403320s, input_fired_time: 3.5327754021, output_fired_time: 1.4172617197, propagate_forward_time: 181.5863800049, propagate_backward_time: 220.9941406250, weight_update_time: 0.1627921760, other_time: 4.6557769775
epoch time: 32.0818252563s, input_fired_time: 0.1882895827, output_fired_time: 0.0000000000, propagate_forward_time: 29.4133205414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4802150726
validation[          , genome  6777] predictions:    9774/  10000 (97.74%), best:    9792/10000 (97.92%), error:       752.33118, best error:       728.40692 on epoch:    27, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 469.3410034180s, input_fired_time: 5.7962007523, output_fired_time: 1.6302928925, propagate_forward_time: 176.4744873047, propagate_backward_time: 276.1614685059, weight_update_time: 0.1900199801, other_time: 9.2785644531
epoch time: 39.1742248535s, input_fired_time: 0.2302718163, output_fired_time: 0.0000000000, propagate_forward_time: 38.3452949524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5986595154
validation[          , genome  6777] predictions:    9759/  10000 (97.59%), best:    9792/10000 (97.92%), error:       816.50769, best error:       728.40692 on epoch:    27, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 468.5491027832s, input_fired_time: 8.8533926010, output_fired_time: 3.6584293842, propagate_forward_time: 179.3421173096, propagate_backward_time: 267.4008483887, weight_update_time: 0.1963056475, other_time: 9.2943420410
epoch time: 38.5211791992s, input_fired_time: 0.2450040728, output_fired_time: 0.0000000000, propagate_forward_time: 35.6523475647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6238288879
validation[          , genome  6777] predictions:    9791/  10000 (97.91%), best:    9792/10000 (97.92%), error:       732.99133, best error:       728.40692 on epoch:    27, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 454.6979370117s, input_fired_time: 5.7987418175, output_fired_time: 4.6213793755, propagate_forward_time: 170.4660491943, propagate_backward_time: 270.6200256348, weight_update_time: 0.1924383938, other_time: 3.1917419434
epoch time: 37.0712699890s, input_fired_time: 0.2300028503, output_fired_time: 0.0000000000, propagate_forward_time: 36.2496719360, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5915946960
validation[          , genome  6777] predictions:    9761/  10000 (97.61%), best:    9792/10000 (97.92%), error:       787.53619, best error:       728.40692 on epoch:    27, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 460.7098693848s, input_fired_time: 1.8210681677, output_fired_time: 3.6205618382, propagate_forward_time: 172.4779357910, propagate_backward_time: 276.5570373535, weight_update_time: 0.1940973103, other_time: 6.2332458496
epoch time: 35.4821205139s, input_fired_time: 1.2243677378, output_fired_time: 0.0000000000, propagate_forward_time: 31.6954326630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5623188019
validation[          , genome  6777] predictions:    9750/  10000 (97.50%), best:    9792/10000 (97.92%), error:       860.76807, best error:       728.40692 on epoch:    27, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6777.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6777_1_r1468752543_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.93871
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00130842
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.23369e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 44
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 27
read number_validation_images: 10000
read best_validation_predictions: 9792
read best_validation_error: 728.407
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: 6777
read normal distribution: '0 -0.237670868635178 0.550411641597748'
generator_str: '871742920'
read generator: 871742920
read generated_by_map:
1 crossover 1
reading 26 nodes.
reading 64 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 365.115631103516s, input_fired_time: 1.34994268417358, output_fired_time: 3.26044225692749, propagate_forward_time: 128.71760559082, propagate_backward_time: 226.43684387207, weight_update_time: 0.141081348061562, other_time: 5.35079956054688
epoch time: 29.6372337341309s, input_fired_time: 0.168027818202972, output_fired_time: 0, propagate_forward_time: 28.0508899688721, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.41831588745117
validation[          , genome  6777] predictions:    9703/  10000 (97.03%), best:    9792/10000 (97.92%), error:       951.65344, best error:       728.40692 on epoch:    27, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 355.6273803711s, input_fired_time: 3.3300604820, output_fired_time: 1.2322934866, propagate_forward_time: 142.4103088379, propagate_backward_time: 200.4297332764, weight_update_time: 0.1394215822, other_time: 8.2249908447
epoch time: 27.2181262970s, input_fired_time: 0.1622369736, output_fired_time: 0.0000000000, propagate_forward_time: 24.6412181854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4146709442
validation[          , genome  6777] predictions:    9787/  10000 (97.87%), best:    9792/10000 (97.92%), error:       761.94507, best error:       728.40692 on epoch:    27, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 361.0711975098s, input_fired_time: 5.2541241646, output_fired_time: 3.2453646660, propagate_forward_time: 133.5092010498, propagate_backward_time: 211.6827087402, weight_update_time: 0.1412518919, other_time: 7.3798065186
epoch time: 29.8724498749s, input_fired_time: 2.1785690784, output_fired_time: 0.0000000000, propagate_forward_time: 27.2678050995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4260749817
validation[          , genome  6777] predictions:    9774/  10000 (97.74%), best:    9792/10000 (97.92%), error:       729.80115, best error:       728.40692 on epoch:    27, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 359.4459838867s, input_fired_time: 3.3406038284, output_fired_time: 1.2330288887, propagate_forward_time: 157.6418914795, propagate_backward_time: 192.9089355469, weight_update_time: 0.1400596052, other_time: 4.3215179443
epoch time: 29.6854705811s, input_fired_time: 0.1688770652, output_fired_time: 0.0000000000, propagate_forward_time: 29.0985183716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4180755615
validation[          , genome  6777] predictions:    9774/  10000 (97.74%), best:    9792/10000 (97.92%), error:       785.88171, best error:       728.40692 on epoch:    27, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 353.8072509766s, input_fired_time: 1.3403688669, output_fired_time: 4.2429757118, propagate_forward_time: 127.6868209839, propagate_backward_time: 213.1913757324, weight_update_time: 0.1404613853, other_time: 7.3457031250
epoch time: 29.3479690552s, input_fired_time: 0.1649312079, output_fired_time: 0.0000000000, propagate_forward_time: 26.7647972107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4182415009
validation[          , genome  6777] predictions:    9769/  10000 (97.69%), best:    9792/10000 (97.92%), error:       771.71161, best error:       728.40692 on epoch:    27, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 375.3336486816s, input_fired_time: 2.4071147442, output_fired_time: 2.2903571129, propagate_forward_time: 137.3075256348, propagate_backward_time: 227.8773803711, weight_update_time: 0.1463028789, other_time: 5.4512939453
epoch time: 32.7545738220s, input_fired_time: 0.1880265474, output_fired_time: 0.0000000000, propagate_forward_time: 30.0896873474, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4768600464
validation[          , genome  6777] predictions:    9780/  10000 (97.80%), best:    9780/10000 (97.80%), error:       717.47015, best error:       717.47015 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 413.4299926758s, input_fired_time: 3.5662133694, output_fired_time: 5.4471030235, propagate_forward_time: 157.9629058838, propagate_backward_time: 238.7261657715, weight_update_time: 0.1609004289, other_time: 7.7275848389
epoch time: 33.0960998535s, input_fired_time: 1.1923460960, output_fired_time: 0.0000000000, propagate_forward_time: 31.4310302734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4727230072
validation[          , genome  6777] predictions:    9765/  10000 (97.65%), best:    9780/10000 (97.80%), error:       740.03326, best error:       717.47015 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 421.7844238281s, input_fired_time: 2.6517424583, output_fired_time: 4.5360326767, propagate_forward_time: 171.8549957275, propagate_backward_time: 236.8335876465, weight_update_time: 0.1724151671, other_time: 5.9080657959
epoch time: 39.2130508423s, input_fired_time: 0.2360669374, output_fired_time: 0.0000000000, propagate_forward_time: 38.3824081421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5945739746
validation[          , genome  6777] predictions:    9795/  10000 (97.95%), best:    9795/10000 (97.95%), error:       692.29163, best error:       692.29163 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 455.2313842773s, input_fired_time: 4.8261380196, output_fired_time: 6.6498880386, propagate_forward_time: 181.0637359619, propagate_backward_time: 251.4248199463, weight_update_time: 0.1958857924, other_time: 11.2667694092
epoch time: 34.7072715759s, input_fired_time: 0.2159985304, output_fired_time: 0.0000000000, propagate_forward_time: 33.9389648438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5523071289
validation[          , genome  6777] predictions:    9757/  10000 (97.57%), best:    9795/10000 (97.95%), error:       760.72778, best error:       692.29163 on epoch:    51, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 433.1437072754s, input_fired_time: 4.7612257004, output_fired_time: 3.5625708103, propagate_forward_time: 159.9379577637, propagate_backward_time: 257.8075866699, weight_update_time: 1.1883090734, other_time: 7.0743713379
epoch time: 35.0704727173s, input_fired_time: 0.2249274701, output_fired_time: 0.0000000000, propagate_forward_time: 33.2923812866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5531654358
validation[          , genome  6777] predictions:    9778/  10000 (97.78%), best:    9795/10000 (97.95%), error:       736.82184, best error:       692.29163 on epoch:    51, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 446.1925354004s, input_fired_time: 3.8188965321, output_fired_time: 4.5941033363, propagate_forward_time: 179.8681640625, propagate_backward_time: 251.7207489014, weight_update_time: 0.1933753788, other_time: 6.1905975342
epoch time: 34.9405708313s, input_fired_time: 2.2275042534, output_fired_time: 0.0000000000, propagate_forward_time: 32.1637115479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5493545532
validation[          , genome  6777] predictions:    9779/  10000 (97.79%), best:    9795/10000 (97.95%), error:       765.37299, best error:       692.29163 on epoch:    51, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 436.3378295898s, input_fired_time: 9.7078752518, output_fired_time: 2.5590450764, propagate_forward_time: 171.1239624023, propagate_backward_time: 243.0041198730, weight_update_time: 0.1751761436, other_time: 9.9428100586
epoch time: 34.5691146851s, input_fired_time: 1.2023161650, output_fired_time: 0.0000000000, propagate_forward_time: 32.8808593750, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4859390259
validation[          , genome  6777] predictions:    9796/  10000 (97.96%), best:    9795/10000 (97.95%), error:       706.44806, best error:       692.29163 on epoch:    51, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 430.7861633301s, input_fired_time: 6.7072019577, output_fired_time: 4.5514864922, propagate_forward_time: 177.3578033447, propagate_backward_time: 235.1766510010, weight_update_time: 1.1794661283, other_time: 6.9930114746
epoch time: 37.7469940186s, input_fired_time: 0.2735700011, output_fired_time: 0.0000000000, propagate_forward_time: 36.8991317749, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5742912292
validation[          , genome  6777] predictions:    9789/  10000 (97.89%), best:    9795/10000 (97.95%), error:       719.78809, best error:       692.29163 on epoch:    51, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 440.6523437500s, input_fired_time: 1.7978159189, output_fired_time: 3.6356227398, propagate_forward_time: 162.5684967041, propagate_backward_time: 268.4417419434, weight_update_time: 1.1925598383, other_time: 4.2086486816
epoch time: 34.7418060303s, input_fired_time: 0.2218718678, output_fired_time: 0.0000000000, propagate_forward_time: 33.9888877869, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5310478210
validation[          , genome  6777] predictions:    9796/  10000 (97.96%), best:    9796/10000 (97.96%), error:       666.11945, best error:       666.11945 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 444.0004882813s, input_fired_time: 6.7316846848, output_fired_time: 1.6428866386, propagate_forward_time: 168.2832641602, propagate_backward_time: 257.1612854004, weight_update_time: 0.1887737066, other_time: 10.1813659668
epoch time: 36.4570350647s, input_fired_time: 0.2298065722, output_fired_time: 0.0000000000, propagate_forward_time: 35.6464729309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5807571411
validation[          , genome  6777] predictions:    9804/  10000 (98.04%), best:    9796/10000 (97.96%), error:       701.08044, best error:       666.11945 on epoch:    57, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 472.8249206543s, input_fired_time: 6.9145050049, output_fired_time: 4.7640209198, propagate_forward_time: 185.9666595459, propagate_backward_time: 267.7668762207, weight_update_time: 0.1983292997, other_time: 7.4128723145
epoch time: 43.9413719177s, input_fired_time: 0.2830604613, output_fired_time: 0.0000000000, propagate_forward_time: 41.9503631592, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7079467773
validation[          , genome  6777] predictions:    9795/  10000 (97.95%), best:    9796/10000 (97.96%), error:       683.54120, best error:       666.11945 on epoch:    57, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 523.4988403320s, input_fired_time: 6.0888600349, output_fired_time: 9.9198436737, propagate_forward_time: 193.9627380371, propagate_backward_time: 306.8126220703, weight_update_time: 0.2180628330, other_time: 6.7147827148
epoch time: 33.7647972107s, input_fired_time: 2.2015511990, output_fired_time: 0.0000000000, propagate_forward_time: 29.0568313599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5064144135
validation[          , genome  6777] predictions:    9759/  10000 (97.59%), best:    9796/10000 (97.96%), error:       866.80829, best error:       666.11945 on epoch:    57, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 427.3667297363s, input_fired_time: 3.6037008762, output_fired_time: 3.4628388882, propagate_forward_time: 152.1613922119, propagate_backward_time: 258.3200378418, weight_update_time: 0.1668829173, other_time: 9.8187561035
epoch time: 37.7827453613s, input_fired_time: 0.2283794284, output_fired_time: 0.0000000000, propagate_forward_time: 34.9995269775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5548400879
validation[          , genome  6777] predictions:    9786/  10000 (97.86%), best:    9796/10000 (97.96%), error:       722.11743, best error:       666.11945 on epoch:    57, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 445.4275512695s, input_fired_time: 3.7445521355, output_fired_time: 4.5973072052, propagate_forward_time: 170.4271087646, propagate_backward_time: 260.6203918457, weight_update_time: 0.1820543110, other_time: 6.0381774902
epoch time: 34.3208351135s, input_fired_time: 0.2013659179, output_fired_time: 0.0000000000, propagate_forward_time: 30.6194190979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5000495911
validation[          , genome  6777] predictions:    9795/  10000 (97.95%), best:    9796/10000 (97.96%), error:       689.97021, best error:       666.11945 on epoch:    57, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 433.7035827637s, input_fired_time: 4.6808104515, output_fired_time: 3.5422179699, propagate_forward_time: 162.8413543701, propagate_backward_time: 252.7011108398, weight_update_time: 1.1752320528, other_time: 9.9381103516
epoch time: 37.0641670227s, input_fired_time: 0.2274557501, output_fired_time: 0.0000000000, propagate_forward_time: 34.2306823730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6060295105
validation[          , genome  6777] predictions:    9809/  10000 (98.09%), best:    9796/10000 (97.96%), error:       701.18475, best error:       666.11945 on epoch:    57, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 451.2920837402s, input_fired_time: 2.8101367950, output_fired_time: 3.6381771564, propagate_forward_time: 164.6029510498, propagate_backward_time: 273.1584777832, weight_update_time: 0.1898379624, other_time: 7.0823059082
epoch time: 36.2997055054s, input_fired_time: 0.2255509645, output_fired_time: 0.0000000000, propagate_forward_time: 35.5095863342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5645675659
validation[          , genome  6777] predictions:    9802/  10000 (98.02%), best:    9796/10000 (97.96%), error:       681.82654, best error:       666.11945 on epoch:    57, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 444.9390563965s, input_fired_time: 4.6904916763, output_fired_time: 3.5653002262, propagate_forward_time: 174.4864044189, propagate_backward_time: 251.2659149170, weight_update_time: 0.1762117445, other_time: 10.9309234619
epoch time: 30.1064071655s, input_fired_time: 0.1929305047, output_fired_time: 0.0000000000, propagate_forward_time: 29.4331359863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4803409576
validation[          , genome  6777] predictions:    9795/  10000 (97.95%), best:    9796/10000 (97.96%), error:       710.40369, best error:       666.11945 on epoch:    57, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 431.2619934082s, input_fired_time: 3.6272916794, output_fired_time: 3.3833134174, propagate_forward_time: 179.0271301270, propagate_backward_time: 237.3898010254, weight_update_time: 0.1700522304, other_time: 7.8344726563
epoch time: 35.1522750854s, input_fired_time: 1.2061697245, output_fired_time: 0.0000000000, propagate_forward_time: 33.4468231201, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4992828369
validation[          , genome  6777] predictions:    9794/  10000 (97.94%), best:    9796/10000 (97.96%), error:       750.45569, best error:       666.11945 on epoch:    57, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6777.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6777_1_r1468752543_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 57
read number_validation_images: 10000
read best_validation_predictions: 9796
read best_validation_error: 666.119
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: 6777
read normal distribution: '0 -0.237670868635178 0.550411641597748'
generator_str: '1465206954'
read generator: 1465206954
read generated_by_map:
1 crossover 1
reading 26 nodes.
reading 64 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 391.090911865234s, input_fired_time: 1.60999965667725, output_fired_time: 1.47831296920776, propagate_forward_time: 162.23567199707, propagate_backward_time: 221.858108520508, weight_update_time: 0.20226888358593, other_time: 3.90884399414063
epoch time: 32.4045028686523s, input_fired_time: 0.203248411417007, output_fired_time: 0, propagate_forward_time: 27.6721153259277, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.52914047241211
validation[          , genome  6777] predictions:    9801/  10000 (98.01%), best:    9796/10000 (97.96%), error:       687.25641, best error:       666.11945 on epoch:    57, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 393.9815368652s, input_fired_time: 2.6127719879, output_fired_time: 2.4586455822, propagate_forward_time: 156.5775451660, propagate_backward_time: 225.5054779053, weight_update_time: 0.1696563810, other_time: 6.8271026611
epoch time: 30.7505760193s, input_fired_time: 0.1925459653, output_fired_time: 0.0000000000, propagate_forward_time: 28.0936069489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4644222260
validation[          , genome  6777] predictions:    9737/  10000 (97.37%), best:    9796/10000 (97.96%), error:       853.17041, best error:       666.11945 on epoch:    57, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 407.5832519531s, input_fired_time: 3.5951766968, output_fired_time: 4.4157915115, propagate_forward_time: 149.3111267090, propagate_backward_time: 242.4457397461, weight_update_time: 0.1679619402, other_time: 7.8153991699
epoch time: 31.8826770782s, input_fired_time: 0.1894660294, output_fired_time: 0.0000000000, propagate_forward_time: 28.2154655457, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4777450562
validation[          , genome  6777] predictions:    9787/  10000 (97.87%), best:    9796/10000 (97.96%), error:       695.68878, best error:       666.11945 on epoch:    57, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 425.9017944336s, input_fired_time: 5.6176443100, output_fired_time: 7.4870257378, propagate_forward_time: 151.0336303711, propagate_backward_time: 255.9630889893, weight_update_time: 0.1689223498, other_time: 5.8003997803
epoch time: 30.8473281860s, input_fired_time: 0.2002650797, output_fired_time: 0.0000000000, propagate_forward_time: 30.1635990143, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4834632874
validation[          , genome  6777] predictions:    9794/  10000 (97.94%), best:    9796/10000 (97.96%), error:       712.82660, best error:       666.11945 on epoch:    57, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 393.0211791992s, input_fired_time: 3.4941222668, output_fired_time: 1.3686655760, propagate_forward_time: 149.0158843994, propagate_backward_time: 235.5386962891, weight_update_time: 0.1583007276, other_time: 3.6038360596
epoch time: 32.1809539795s, input_fired_time: 0.1995919794, output_fired_time: 0.0000000000, propagate_forward_time: 31.4981613159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4832000732
validation[          , genome  6777] predictions:    9740/  10000 (97.40%), best:    9796/10000 (97.96%), error:       878.71027, best error:       666.11945 on epoch:    57, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 412.6286621094s, input_fired_time: 4.5997791290, output_fired_time: 1.4624927044, propagate_forward_time: 145.1603088379, propagate_backward_time: 251.6463775635, weight_update_time: 0.1635395586, other_time: 9.7596893311
epoch time: 32.7430915833s, input_fired_time: 1.1994326115, output_fired_time: 0.0000000000, propagate_forward_time: 29.0676860809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4759731293
validation[          , genome  6777] predictions:    9776/  10000 (97.76%), best:    9796/10000 (97.96%), error:       758.39246, best error:       666.11945 on epoch:    57, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 395.0355834961s, input_fired_time: 4.5221228600, output_fired_time: 3.3987886906, propagate_forward_time: 144.8346252441, propagate_backward_time: 236.6255645752, weight_update_time: 0.1595294178, other_time: 5.6544647217
epoch time: 32.2611656189s, input_fired_time: 0.1959262192, output_fired_time: 0.0000000000, propagate_forward_time: 31.5864772797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4787616730
validation[          , genome  6777] predictions:    9798/  10000 (97.98%), best:    9796/10000 (97.96%), error:       687.11700, best error:       666.11945 on epoch:    57, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 505.5032348633s, input_fired_time: 3.9271488190, output_fired_time: 2.8381290436, propagate_forward_time: 174.7834930420, propagate_backward_time: 320.5274963379, weight_update_time: 0.1958954185, other_time: 3.4269714355
epoch time: 48.5956573486s, input_fired_time: 0.3603878915, output_fired_time: 0.0000000000, propagate_forward_time: 44.3849678040, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8502998352
validation[          , genome  6777] predictions:    9777/  10000 (97.77%), best:    9796/10000 (97.96%), error:       753.08539, best error:       666.11945 on epoch:    57, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 483.3142700195s, input_fired_time: 8.9199047089, output_fired_time: 6.8074555397, propagate_forward_time: 187.9146881104, propagate_backward_time: 272.3921203613, weight_update_time: 0.2005591244, other_time: 7.2801208496
epoch time: 40.3206672668s, input_fired_time: 0.2776604593, output_fired_time: 0.0000000000, propagate_forward_time: 37.3832550049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6597518921
validation[          , genome  6777] predictions:    9805/  10000 (98.05%), best:    9805/10000 (98.05%), error:       657.11749, best error:       657.11749 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 388.7173156738s, input_fired_time: 1.4995313883, output_fired_time: 3.4090967178, propagate_forward_time: 148.8086853027, propagate_backward_time: 226.3947753906, weight_update_time: 2.1661541462, other_time: 8.6052246094
epoch time: 34.8448638916s, input_fired_time: 2.2001564503, output_fired_time: 0.0000000000, propagate_forward_time: 28.1624298096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4822769165
validation[          , genome  6777] predictions:    9793/  10000 (97.93%), best:    9805/10000 (98.05%), error:       679.66846, best error:       657.11749 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 385.7280578613s, input_fired_time: 4.4484343529, output_fired_time: 3.3309915066, propagate_forward_time: 146.3316040039, propagate_backward_time: 229.1396026611, weight_update_time: 0.1503088325, other_time: 2.4774322510
epoch time: 30.2343921661s, input_fired_time: 0.1774259210, output_fired_time: 0.0000000000, propagate_forward_time: 28.6160697937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4408969879
validation[          , genome  6777] predictions:    9796/  10000 (97.96%), best:    9805/10000 (98.05%), error:       725.05463, best error:       657.11749 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 388.6793823242s, input_fired_time: 4.4680428505, output_fired_time: 4.3485617638, propagate_forward_time: 147.3150024414, propagate_backward_time: 229.0247192383, weight_update_time: 0.1535957307, other_time: 3.5230407715
epoch time: 31.5216140747s, input_fired_time: 2.1899993420, output_fired_time: 0.0000000000, propagate_forward_time: 26.8805522919, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4510631561
validation[          , genome  6777] predictions:    9803/  10000 (98.03%), best:    9805/10000 (98.05%), error:       680.23480, best error:       657.11749 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 382.7785339355s, input_fired_time: 3.4399302006, output_fired_time: 1.3416366577, propagate_forward_time: 146.7148742676, propagate_backward_time: 224.8131256104, weight_update_time: 0.1506510377, other_time: 6.4689483643
epoch time: 30.2314777374s, input_fired_time: 0.1802184582, output_fired_time: 0.0000000000, propagate_forward_time: 28.6136283875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4376316071
validation[          , genome  6777] predictions:    9799/  10000 (97.99%), best:    9805/10000 (98.05%), error:       701.71942, best error:       657.11749 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 381.8644409180s, input_fired_time: 5.4468555450, output_fired_time: 1.3075449467, propagate_forward_time: 161.3104095459, propagate_backward_time: 207.3440856934, weight_update_time: 0.1492820084, other_time: 6.4555206299
epoch time: 30.5713462830s, input_fired_time: 0.1825414598, output_fired_time: 0.0000000000, propagate_forward_time: 28.9431343079, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4456710815
validation[          , genome  6777] predictions:    9796/  10000 (97.96%), best:    9805/10000 (98.05%), error:       701.43604, best error:       657.11749 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 380.7274475098s, input_fired_time: 2.4223084450, output_fired_time: 5.2317037582, propagate_forward_time: 165.2697448730, propagate_backward_time: 205.3772735596, weight_update_time: 0.1506060660, other_time: 2.4264373779
epoch time: 32.1823921204s, input_fired_time: 1.1799160242, output_fired_time: 0.0000000000, propagate_forward_time: 30.5697746277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4327011108
validation[          , genome  6777] predictions:    9767/  10000 (97.67%), best:    9805/10000 (98.05%), error:       796.54962, best error:       657.11749 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 377.4698486328s, input_fired_time: 2.4201018810, output_fired_time: 4.1957335472, propagate_forward_time: 144.8009338379, propagate_backward_time: 215.5454711914, weight_update_time: 0.1469881535, other_time: 10.5075988770
epoch time: 34.1854476929s, input_fired_time: 0.1895255297, output_fired_time: 0.0000000000, propagate_forward_time: 32.5344772339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4614448547
validation[          , genome  6777] predictions:    9802/  10000 (98.02%), best:    9805/10000 (98.05%), error:       686.90753, best error:       657.11749 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 386.1555480957s, input_fired_time: 2.4359803200, output_fired_time: 2.3162767887, propagate_forward_time: 152.2992095947, propagate_backward_time: 223.6245269775, weight_update_time: 0.1508626044, other_time: 5.4795532227
epoch time: 30.3887805939s, input_fired_time: 1.1829919815, output_fired_time: 0.0000000000, propagate_forward_time: 28.7706737518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4351139069
validation[          , genome  6777] predictions:    9789/  10000 (97.89%), best:    9805/10000 (98.05%), error:       685.58624, best error:       657.11749 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 377.8671875000s, input_fired_time: 2.4175496101, output_fired_time: 2.2975931168, propagate_forward_time: 149.6045227051, propagate_backward_time: 221.1273345947, weight_update_time: 0.1476385891, other_time: 2.4201812744
epoch time: 32.8639411926s, input_fired_time: 0.1835053861, output_fired_time: 0.0000000000, propagate_forward_time: 31.2373199463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4431152344
validation[          , genome  6777] predictions:    9769/  10000 (97.69%), best:    9805/10000 (98.05%), error:       757.71979, best error:       657.11749 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 385.2742919922s, input_fired_time: 1.4635009766, output_fired_time: 5.2547535896, propagate_forward_time: 139.8186798096, propagate_backward_time: 230.2309265137, weight_update_time: 0.1510696262, other_time: 8.5064239502
epoch time: 35.0414505005s, input_fired_time: 0.2332901806, output_fired_time: 0.0000000000, propagate_forward_time: 33.2448921204, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5632667542
validation[          , genome  6777] predictions:    9762/  10000 (97.62%), best:    9805/10000 (98.05%), error:       795.07007, best error:       657.11749 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 445.4255981445s, input_fired_time: 3.8631317616, output_fired_time: 3.6585183144, propagate_forward_time: 162.3133544922, propagate_backward_time: 269.3511657715, weight_update_time: 0.1970210969, other_time: 6.2394409180
epoch time: 32.0424194336s, input_fired_time: 0.1968401521, output_fired_time: 0.0000000000, propagate_forward_time: 29.3861465454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4594326019
validation[          , genome  6777] predictions:    9786/  10000 (97.86%), best:    9805/10000 (98.05%), error:       732.70728, best error:       657.11749 on epoch:    75, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 410.7940979004s, input_fired_time: 1.5444517136, output_fired_time: 1.4478355646, propagate_forward_time: 165.9507598877, propagate_backward_time: 229.1988830566, weight_update_time: 0.1610230654, other_time: 12.6521453857
epoch time: 35.1128883362s, input_fired_time: 0.2034853399, output_fired_time: 0.0000000000, propagate_forward_time: 34.4178924561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4915122986
validation[          , genome  6777] predictions:    9791/  10000 (97.91%), best:    9805/10000 (98.05%), error:       710.40912, best error:       657.11749 on epoch:    75, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 433.3385620117s, input_fired_time: 3.6111114025, output_fired_time: 2.4892542362, propagate_forward_time: 163.2085418701, propagate_backward_time: 258.2427673340, weight_update_time: 0.1697224826, other_time: 5.7868957520
epoch time: 34.6187438965s, input_fired_time: 0.1978779584, output_fired_time: 0.0000000000, propagate_forward_time: 33.9383735657, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4824905396
validation[          , genome  6777] predictions:    9796/  10000 (97.96%), best:    9805/10000 (98.05%), error:       703.20490, best error:       657.11749 on epoch:    75, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 370.5557556152s, input_fired_time: 5.4150347710, output_fired_time: 1.2923120260, propagate_forward_time: 156.5379180908, propagate_backward_time: 200.9086456299, weight_update_time: 0.1464425325, other_time: 6.4018554688
epoch time: 27.8712387085s, input_fired_time: 2.1811954975, output_fired_time: 0.0000000000, propagate_forward_time: 25.2625293732, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4275131226
validation[          , genome  6777] predictions:    9784/  10000 (97.84%), best:    9805/10000 (98.05%), error:       709.26471, best error:       657.11749 on epoch:    75, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 368.9421081543s, input_fired_time: 2.4076285362, output_fired_time: 2.2722332478, propagate_forward_time: 152.8744201660, propagate_backward_time: 205.9926605225, weight_update_time: 0.1467506140, other_time: 5.3951568604
epoch time: 29.5297527313s, input_fired_time: 0.1729304492, output_fired_time: 0.0000000000, propagate_forward_time: 28.9461784363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4106445313
validation[          , genome  6777] predictions:    9774/  10000 (97.74%), best:    9805/10000 (98.05%), error:       753.32684, best error:       657.11749 on epoch:    75, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 373.4547119141s, input_fired_time: 3.4149878025, output_fired_time: 3.2878785133, propagate_forward_time: 144.1103515625, propagate_backward_time: 214.2459869385, weight_update_time: 0.1452304274, other_time: 8.3955230713
epoch time: 32.7492179871s, input_fired_time: 0.1864326745, output_fired_time: 0.0000000000, propagate_forward_time: 32.1078872681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4548988342
validation[          , genome  6777] predictions:    9768/  10000 (97.68%), best:    9805/10000 (98.05%), error:       716.40411, best error:       657.11749 on epoch:    75, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 370.1168212891s, input_fired_time: 1.4075450897, output_fired_time: 3.2721569538, propagate_forward_time: 141.6979217529, propagate_backward_time: 220.3658905029, weight_update_time: 0.1445603669, other_time: 3.3733215332
epoch time: 29.4111423492s, input_fired_time: 0.1723958552, output_fired_time: 0.0000000000, propagate_forward_time: 25.8156452179, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4231014252
validation[          , genome  6777] predictions:    9785/  10000 (97.85%), best:    9805/10000 (98.05%), error:       698.62274, best error:       657.11749 on epoch:    75, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 365.3110656738s, input_fired_time: 4.3885922432, output_fired_time: 3.2618846893, propagate_forward_time: 155.5670928955, propagate_backward_time: 195.7332611084, weight_update_time: 0.1433251798, other_time: 6.3602600098
epoch time: 29.7079372406s, input_fired_time: 0.1753256917, output_fired_time: 0.0000000000, propagate_forward_time: 25.1005268097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4320850372
validation[          , genome  6777] predictions:    9799/  10000 (97.99%), best:    9805/10000 (98.05%), error:       674.03406, best error:       657.11749 on epoch:    75, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 368.2756958008s, input_fired_time: 1.4211939573, output_fired_time: 3.2761294842, propagate_forward_time: 148.2038421631, propagate_backward_time: 212.9827423096, weight_update_time: 0.1473828852, other_time: 2.3917846680
epoch time: 29.6072711945s, input_fired_time: 0.1760232151, output_fired_time: 0.0000000000, propagate_forward_time: 28.9973258972, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4339218140
validation[          , genome  6777] predictions:    9766/  10000 (97.66%), best:    9805/10000 (98.05%), error:       768.61182, best error:       657.11749 on epoch:    75, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 359.3034057617s, input_fired_time: 1.3693382740, output_fired_time: 1.2363994122, propagate_forward_time: 142.9241027832, propagate_backward_time: 206.4337158203, weight_update_time: 0.1415159255, other_time: 7.3398742676
epoch time: 28.6224460602s, input_fired_time: 0.1736061573, output_fired_time: 0.0000000000, propagate_forward_time: 28.0263137817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4225254059
validation[          , genome  6777] predictions:    9797/  10000 (97.97%), best:    9805/10000 (98.05%), error:       688.82336, best error:       657.11749 on epoch:    75, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 362.3208618164s, input_fired_time: 1.3806664944, output_fired_time: 1.2398957014, propagate_forward_time: 134.7441253662, propagate_backward_time: 220.6166839600, weight_update_time: 1.1461627483, other_time: 4.3394775391
epoch time: 28.1024341583s, input_fired_time: 0.1686839163, output_fired_time: 0.0000000000, propagate_forward_time: 27.5357189178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3980312347
validation[          , genome  6777] predictions:    9795/  10000 (97.95%), best:    9805/10000 (98.05%), error:       679.37311, best error:       657.11749 on epoch:    75, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 360.6663513184s, input_fired_time: 1.3724216223, output_fired_time: 2.2388193607, propagate_forward_time: 140.2055053711, propagate_backward_time: 209.5058135986, weight_update_time: 0.1426385045, other_time: 7.3437652588
epoch time: 29.7793521881s, input_fired_time: 0.1746483147, output_fired_time: 0.0000000000, propagate_forward_time: 27.1794204712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4252834320
validation[          , genome  6777] predictions:    9789/  10000 (97.89%), best:    9805/10000 (98.05%), error:       694.61591, best error:       657.11749 on epoch:    75, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 364.7843627930s, input_fired_time: 1.3854180574, output_fired_time: 1.2482991219, propagate_forward_time: 121.8160018921, propagate_backward_time: 231.9603576660, weight_update_time: 0.1444375515, other_time: 8.3742980957
epoch time: 28.3097915649s, input_fired_time: 0.1701781154, output_fired_time: 0.0000000000, propagate_forward_time: 27.7314147949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4081993103
validation[          , genome  6777] predictions:    9781/  10000 (97.81%), best:    9805/10000 (98.05%), error:       738.09253, best error:       657.11749 on epoch:    75, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 360.3380737305s, input_fired_time: 1.3771030903, output_fired_time: 2.2323570251, propagate_forward_time: 131.2595672607, propagate_backward_time: 220.1331939697, weight_update_time: 0.1422287971, other_time: 5.3358459473
epoch time: 29.5889015198s, input_fired_time: 0.1757085174, output_fired_time: 0.0000000000, propagate_forward_time: 28.9969367981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4162559509
validation[          , genome  6777] predictions:    9777/  10000 (97.77%), best:    9805/10000 (98.05%), error:       757.17078, best error:       657.11749 on epoch:    75, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 370.4399414063s, input_fired_time: 4.4041113853, output_fired_time: 4.2869472504, propagate_forward_time: 129.5445404053, propagate_backward_time: 224.8021392822, weight_update_time: 0.1443271190, other_time: 7.4021911621
epoch time: 28.5951442719s, input_fired_time: 0.1723937392, output_fired_time: 0.0000000000, propagate_forward_time: 28.0080718994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4146785736
validation[          , genome  6777] predictions:    9799/  10000 (97.99%), best:    9805/10000 (98.05%), error:       695.91711, best error:       657.11749 on epoch:    75, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 146.5043945313s, input_fired_time: 1.8627904654, output_fired_time: 0.0000000000, propagate_forward_time: 138.5827178955, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0588836670
best training[          , genome  6777] predictions:   49802/  50000 (99.60%), best:    9805/10000 (98.05%), error:       962.04211, best error:       657.11749 on epoch:    75, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 28.8394718170s, input_fired_time: 1.1735265255, output_fired_time: 0.0000000000, propagate_forward_time: 27.2062625885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4596824646
   testing[          , genome  6777] predictions:    9827/  10000 (98.27%), best:    9805/10000 (98.05%), error:       578.82446, best error:       657.11749 on epoch:    75, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
16:18:49 (8808): called boinc_finish(0)

</stderr_txt>
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