Nameexact_genome_1512568488_43_2228_1
Workunit2582454
Created6 Dec 2017, 22:45:36 UTC
Sent6 Dec 2017, 22:49:47 UTC
Report deadline11 Dec 2017, 15:02:25 UTC
Received7 Dec 2017, 1:42:36 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID52322
Run time2 hours 37 min 24 sec
CPU time2 hours 27 min 46 sec
Validate stateValid
Credit1,168.86
Device peak FLOPS2.94 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.07 MB
Peak swap size152.51 MB
Peak disk usage1.56 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
lass    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: 81.1340866088867s, input_fired_time: 0.948005139827728, output_fired_time: 0.946008920669556, propagate_forward_time: 29.5412330627441, propagate_backward_time: 47.0241889953613, weight_update_time: 0.151433184742928, other_time: 2.67465209960938
epoch time: 6.55052947998047s, input_fired_time: 0.122461758553982, output_fired_time: 0, propagate_forward_time: 5.94198942184448, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.486078262329102
validation[          , genome  2228] predictions:    9553/  10000 (95.53%), best:    9553/10000 (95.53%), error:      1487.58655, best error:      1487.58655 on epoch:    23, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 81.3208389282s, input_fired_time: 0.9507629275, output_fired_time: 0.9407556057, propagate_forward_time: 29.7141799927, propagate_backward_time: 47.0411682129, weight_update_time: 0.1517426819, other_time: 2.6739730835
epoch time: 6.6593074799s, input_fired_time: 0.1183919236, output_fired_time: 0.0000000000, propagate_forward_time: 6.0613856316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4795298576
validation[          , genome  2228] predictions:    9537/  10000 (95.37%), best:    9553/10000 (95.53%), error:      1639.54395, best error:      1487.58655 on epoch:    23, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 80.9227523804s, input_fired_time: 0.9484416246, output_fired_time: 0.9394679666, propagate_forward_time: 29.6416969299, propagate_backward_time: 46.7304725647, weight_update_time: 0.1510151923, other_time: 2.6626739502
epoch time: 6.3207468987s, input_fired_time: 0.1182770431, output_fired_time: 0.0000000000, propagate_forward_time: 5.7297234535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4727463722
validation[          , genome  2228] predictions:    9570/  10000 (95.70%), best:    9553/10000 (95.53%), error:      1521.21033, best error:      1487.58655 on epoch:    23, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 81.7632675171s, input_fired_time: 0.9500632286, output_fired_time: 0.9477466941, propagate_forward_time: 29.8643512726, propagate_backward_time: 47.3418235779, weight_update_time: 0.1524091512, other_time: 2.6592826843
epoch time: 6.7928552628s, input_fired_time: 0.1214863658, output_fired_time: 0.0000000000, propagate_forward_time: 6.1903862953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4809827805
validation[          , genome  2228] predictions:    9551/  10000 (95.51%), best:    9553/10000 (95.53%), error:      1555.44885, best error:      1487.58655 on epoch:    23, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 81.0913314819s, input_fired_time: 0.9429515600, output_fired_time: 0.9351503253, propagate_forward_time: 29.6706790924, propagate_backward_time: 46.8778114319, weight_update_time: 0.1524056196, other_time: 2.6647377014
epoch time: 6.4708113670s, input_fired_time: 0.1205817908, output_fired_time: 0.0000000000, propagate_forward_time: 5.8751463890, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4750833511
validation[          , genome  2228] predictions:    9580/  10000 (95.80%), best:    9580/10000 (95.80%), error:      1460.57104, best error:      1460.57104 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 81.9583587646s, input_fired_time: 0.9528331161, output_fired_time: 0.9435461164, propagate_forward_time: 30.0312385559, propagate_backward_time: 47.3587455750, weight_update_time: 0.1542298943, other_time: 2.6719970703
epoch time: 6.5031967163s, input_fired_time: 0.1197977513, output_fired_time: 0.0000000000, propagate_forward_time: 5.9105057716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4728932381
validation[          , genome  2228] predictions:    9578/  10000 (95.78%), best:    9580/10000 (95.80%), error:      1517.03882, best error:      1460.57104 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 78.2282638550s, input_fired_time: 0.9166840911, output_fired_time: 0.9008995891, propagate_forward_time: 28.5515079498, propagate_backward_time: 45.2715072632, weight_update_time: 0.1459334195, other_time: 2.5876617432
epoch time: 6.3156456947s, input_fired_time: 0.1188629195, output_fired_time: 0.0000000000, propagate_forward_time: 5.7317600250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4650225639
validation[          , genome  2228] predictions:    9595/  10000 (95.95%), best:    9595/10000 (95.95%), error:      1421.17993, best error:      1421.17993 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 80.2633743286s, input_fired_time: 0.9373818636, output_fired_time: 0.9303100705, propagate_forward_time: 29.3434257507, propagate_backward_time: 46.4160156250, weight_update_time: 0.1499592066, other_time: 2.6362342834
epoch time: 6.3103575706s, input_fired_time: 0.1144796163, output_fired_time: 0.0000000000, propagate_forward_time: 5.7276673317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4682106972
validation[          , genome  2228] predictions:    9570/  10000 (95.70%), best:    9595/10000 (95.95%), error:      1488.89319, best error:      1421.17993 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 79.8131942749s, input_fired_time: 0.9367141724, output_fired_time: 0.9196411371, propagate_forward_time: 29.2148227692, propagate_backward_time: 46.1107864380, weight_update_time: 0.1488859206, other_time: 2.6312332153
epoch time: 6.7938923836s, input_fired_time: 0.1252013892, output_fired_time: 0.0000000000, propagate_forward_time: 6.1787614822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4899296761
validation[          , genome  2228] predictions:    9559/  10000 (95.59%), best:    9595/10000 (95.95%), error:      1471.26953, best error:      1421.17993 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 81.4433059692s, input_fired_time: 0.9495853782, output_fired_time: 0.9395956993, propagate_forward_time: 29.8919410706, propagate_backward_time: 47.0068473816, weight_update_time: 0.1530586332, other_time: 2.6553344727
epoch time: 6.3428916931s, input_fired_time: 0.1154879555, output_fired_time: 0.0000000000, propagate_forward_time: 5.7581758499, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4692277908
validation[          , genome  2228] predictions:    9589/  10000 (95.89%), best:    9595/10000 (95.95%), error:      1460.39844, best error:      1421.17993 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 80.0962677002s, input_fired_time: 0.9338603616, output_fired_time: 0.9224237204, propagate_forward_time: 29.3438091278, propagate_backward_time: 46.2652473450, weight_update_time: 0.1525284052, other_time: 2.6309242249
epoch time: 6.0623044968s, input_fired_time: 0.1126111373, output_fired_time: 0.0000000000, propagate_forward_time: 5.4955749512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4541182518
validation[          , genome  2228] predictions:    9540/  10000 (95.40%), best:    9595/10000 (95.95%), error:      1541.17712, best error:      1421.17993 on epoch:    29, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 81.2896652222s, input_fired_time: 0.9409326911, output_fired_time: 0.9402449131, propagate_forward_time: 29.8087615967, propagate_backward_time: 46.9457855225, weight_update_time: 0.1492259651, other_time: 2.6539382935
epoch time: 6.3551263809s, input_fired_time: 0.1141256988, output_fired_time: 0.0000000000, propagate_forward_time: 5.7787199020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4622807503
validation[          , genome  2228] predictions:    9564/  10000 (95.64%), best:    9595/10000 (95.95%), error:      1473.49402, best error:      1421.17993 on epoch:    29, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 82.3200759888s, input_fired_time: 0.9539673328, output_fired_time: 0.9466297626, propagate_forward_time: 30.2130374908, propagate_backward_time: 47.5126152039, weight_update_time: 0.1549537778, other_time: 2.6938285828
epoch time: 6.6767611504s, input_fired_time: 0.1198307648, output_fired_time: 0.0000000000, propagate_forward_time: 6.0867066383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4702239037
validation[          , genome  2228] predictions:    9582/  10000 (95.82%), best:    9595/10000 (95.95%), error:      1432.70801, best error:      1421.17993 on epoch:    29, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 82.3831558228s, input_fired_time: 0.9512518048, output_fired_time: 0.9409263730, propagate_forward_time: 30.2516441345, propagate_backward_time: 47.5773277283, weight_update_time: 0.1508577168, other_time: 2.6620101929
epoch time: 6.5289769173s, input_fired_time: 0.1170020252, output_fired_time: 0.0000000000, propagate_forward_time: 5.9362244606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4757504463
validation[          , genome  2228] predictions:    9572/  10000 (95.72%), best:    9595/10000 (95.95%), error:      1455.57056, best error:      1421.17993 on epoch:    29, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 82.3623199463s, input_fired_time: 0.9561613798, output_fired_time: 0.9522903562, propagate_forward_time: 30.3470745087, propagate_backward_time: 47.4229278564, weight_update_time: 0.1519038081, other_time: 2.6838607788
epoch time: 6.8971705437s, input_fired_time: 0.1231865436, output_fired_time: 0.0000000000, propagate_forward_time: 6.2887811661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4852027893
validation[          , genome  2228] predictions:    9562/  10000 (95.62%), best:    9595/10000 (95.95%), error:      1501.51978, best error:      1421.17993 on epoch:    29, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 80.0199508667s, input_fired_time: 0.9279295206, output_fired_time: 0.9301061630, propagate_forward_time: 29.1928367615, propagate_backward_time: 46.3300399780, weight_update_time: 0.1500958949, other_time: 2.6390342712
epoch time: 6.4114971161s, input_fired_time: 0.1164637953, output_fired_time: 0.0000000000, propagate_forward_time: 5.8229579926, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4720754623
validation[          , genome  2228] predictions:    9522/  10000 (95.22%), best:    9595/10000 (95.95%), error:      1587.57056, best error:      1421.17993 on epoch:    29, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 81.1977691650s, input_fired_time: 0.9437896609, output_fired_time: 0.9369178414, propagate_forward_time: 29.7515640259, propagate_backward_time: 46.9063911438, weight_update_time: 0.1511255652, other_time: 2.6591072083
epoch time: 6.5063023567s, input_fired_time: 0.1172370762, output_fired_time: 0.0000000000, propagate_forward_time: 5.9197192192, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4693460464
validation[          , genome  2228] predictions:    9580/  10000 (95.80%), best:    9595/10000 (95.95%), error:      1483.52332, best error:      1421.17993 on epoch:    29, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 78.9687118530s, input_fired_time: 0.9164609909, output_fired_time: 0.9104853272, propagate_forward_time: 28.8529319763, propagate_backward_time: 45.6759414673, weight_update_time: 0.1505877823, other_time: 2.6128959656
epoch time: 6.6943697929s, input_fired_time: 0.1202567518, output_fired_time: 0.0000000000, propagate_forward_time: 6.0925436020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4815692902
validation[          , genome  2228] predictions:    9580/  10000 (95.80%), best:    9595/10000 (95.95%), error:      1485.24707, best error:      1421.17993 on epoch:    29, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 81.7669143677s, input_fired_time: 0.9367942810, output_fired_time: 0.9444323182, propagate_forward_time: 29.8993568420, propagate_backward_time: 47.3131256104, weight_update_time: 0.1526233107, other_time: 2.6732063293
epoch time: 6.5472989082s, input_fired_time: 0.1186100319, output_fired_time: 0.0000000000, propagate_forward_time: 5.9508585930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4778304100
validation[          , genome  2228] predictions:    9551/  10000 (95.51%), best:    9595/10000 (95.95%), error:      1550.93616, best error:      1421.17993 on epoch:    29, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 81.9226837158s, input_fired_time: 0.9369183779, output_fired_time: 0.9378044605, propagate_forward_time: 30.0941829681, propagate_backward_time: 47.2785758972, weight_update_time: 0.1526223719, other_time: 2.6751976013
epoch time: 6.8613057137s, input_fired_time: 0.1244766489, output_fired_time: 0.0000000000, propagate_forward_time: 6.2473487854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4894804955
validation[          , genome  2228] predictions:    9530/  10000 (95.30%), best:    9595/10000 (95.95%), error:      1632.66223, best error:      1421.17993 on epoch:    29, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 81.3359909058s, input_fired_time: 0.9389796257, output_fired_time: 0.9339402914, propagate_forward_time: 29.7711544037, propagate_backward_time: 47.0166015625, weight_update_time: 0.1528471857, other_time: 2.6753158569
epoch time: 6.7201390266s, input_fired_time: 0.1213550419, output_fired_time: 0.0000000000, propagate_forward_time: 6.1183419228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4804420471
validation[          , genome  2228] predictions:    9575/  10000 (95.75%), best:    9595/10000 (95.95%), error:      1485.19958, best error:      1421.17993 on epoch:    29, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 78.3944091797s, input_fired_time: 0.9184509516, output_fired_time: 0.9042181969, propagate_forward_time: 28.7814197540, propagate_backward_time: 45.2081222534, weight_update_time: 0.1462454647, other_time: 2.5821990967
epoch time: 6.2882881165s, input_fired_time: 0.1149377599, output_fired_time: 0.0000000000, propagate_forward_time: 5.7200250626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4533252716
validation[          , genome  2228] predictions:    9573/  10000 (95.73%), best:    9595/10000 (95.95%), error:      1469.72815, best error:      1421.17993 on epoch:    29, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 83.1084594727s, input_fired_time: 0.9558570385, output_fired_time: 0.9602099061, propagate_forward_time: 30.4678134918, propagate_backward_time: 48.0244026184, weight_update_time: 0.1538275480, other_time: 2.7001762390
epoch time: 6.7561798096s, input_fired_time: 0.1243070140, output_fired_time: 0.0000000000, propagate_forward_time: 6.1432671547, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4886054993
validation[          , genome  2228] predictions:    9511/  10000 (95.11%), best:    9595/10000 (95.95%), error:      1661.35522, best error:      1421.17993 on epoch:    29, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 79.8718719482s, input_fired_time: 0.9239430428, output_fired_time: 0.9205596447, propagate_forward_time: 29.3683586121, propagate_backward_time: 46.0565643311, weight_update_time: 0.1485658884, other_time: 2.6024436951
epoch time: 6.4922666550s, input_fired_time: 0.1159242466, output_fired_time: 0.0000000000, propagate_forward_time: 5.9041810036, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4721612930
validation[          , genome  2228] predictions:    9572/  10000 (95.72%), best:    9595/10000 (95.95%), error:      1462.89099, best error:      1421.17993 on epoch:    29, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 79.6406707764s, input_fired_time: 0.9251759648, output_fired_time: 0.9233376980, propagate_forward_time: 29.1251544952, propagate_backward_time: 46.0312957764, weight_update_time: 0.1489055455, other_time: 2.6357040405
epoch time: 6.2499418259s, input_fired_time: 0.1140740737, output_fired_time: 0.0000000000, propagate_forward_time: 5.6746158600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4612517357
validation[          , genome  2228] predictions:    9549/  10000 (95.49%), best:    9595/10000 (95.95%), error:      1535.29236, best error:      1421.17993 on epoch:    29, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 79.9400787354s, input_fired_time: 0.9238495827, output_fired_time: 0.9260094762, propagate_forward_time: 29.2485980988, propagate_backward_time: 46.2188987732, weight_update_time: 0.1527790278, other_time: 2.6227226257
epoch time: 5.6776614189s, input_fired_time: 0.1062179431, output_fired_time: 0.0000000000, propagate_forward_time: 5.1422772408, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4291663170
validation[          , genome  2228] predictions:    9592/  10000 (95.92%), best:    9592/10000 (95.92%), error:      1417.73792, best error:      1417.73792 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 82.2213287354s, input_fired_time: 0.9494417906, output_fired_time: 0.9489153624, propagate_forward_time: 30.2229347229, propagate_backward_time: 47.4273071289, weight_update_time: 0.1525684446, other_time: 2.6727333069
epoch time: 5.2608313560s, input_fired_time: 0.1011656001, output_fired_time: 0.0000000000, propagate_forward_time: 4.7472777367, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4123878479
validation[          , genome  2228] predictions:    9604/  10000 (96.04%), best:    9604/10000 (96.04%), error:      1412.90210, best error:      1412.90210 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 73.5452575684s, input_fired_time: 0.8659256101, output_fired_time: 0.8481833339, propagate_forward_time: 26.8773288727, propagate_backward_time: 42.4826583862, weight_update_time: 0.1396714449, other_time: 2.4711608887
epoch time: 5.8040699959s, input_fired_time: 0.1096352041, output_fired_time: 0.0000000000, propagate_forward_time: 5.2587785721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4356560707
validation[          , genome  2228] predictions:    9595/  10000 (95.95%), best:    9595/10000 (95.95%), error:      1399.39868, best error:      1399.39868 on epoch:    50, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 73.3681411743s, input_fired_time: 0.8739072680, output_fired_time: 0.8552927375, propagate_forward_time: 26.8230133057, propagate_backward_time: 42.3309440613, weight_update_time: 0.1387810707, other_time: 2.4849815369
epoch time: 6.1008582115s, input_fired_time: 0.1106198430, output_fired_time: 0.0000000000, propagate_forward_time: 5.5407214165, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4495167732
validation[          , genome  2228] predictions:    9587/  10000 (95.87%), best:    9587/10000 (95.87%), error:      1383.98779, best error:      1383.98779 on epoch:    51, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 75.8500213623s, input_fired_time: 0.8916983008, output_fired_time: 0.8795256615, propagate_forward_time: 27.8405647278, propagate_backward_time: 43.7104492188, weight_update_time: 0.1447728723, other_time: 2.5277824402
epoch time: 6.5876312256s, input_fired_time: 0.1168266088, output_fired_time: 0.0000000000, propagate_forward_time: 6.0025677681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4682369232
validation[          , genome  2228] predictions:    9587/  10000 (95.87%), best:    9587/10000 (95.87%), error:      1373.64575, best error:      1373.64575 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 80.4092559814s, input_fired_time: 0.9410498738, output_fired_time: 0.9348032475, propagate_forward_time: 29.3838100433, propagate_backward_time: 46.4961967468, weight_update_time: 0.1494347602, other_time: 2.6533927917
epoch time: 6.8734831810s, input_fired_time: 0.1209458336, output_fired_time: 0.0000000000, propagate_forward_time: 6.2649121284, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4876251221
validation[          , genome  2228] predictions:    9580/  10000 (95.80%), best:    9587/10000 (95.87%), error:      1459.63184, best error:      1373.64575 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 76.6334762573s, input_fired_time: 0.9041900039, output_fired_time: 0.8911235929, propagate_forward_time: 27.8886985779, propagate_backward_time: 44.3913764954, weight_update_time: 0.1444790214, other_time: 2.5580902100
epoch time: 6.4876632690s, input_fired_time: 0.1175349280, output_fired_time: 0.0000000000, propagate_forward_time: 5.8935751915, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4765529633
validation[          , genome  2228] predictions:    9597/  10000 (95.97%), best:    9587/10000 (95.87%), error:      1434.34436, best error:      1373.64575 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 76.9455413818s, input_fired_time: 0.8977445960, output_fired_time: 0.8935248852, propagate_forward_time: 28.0615062714, propagate_backward_time: 44.5228767395, weight_update_time: 0.1459125131, other_time: 2.5698890686
epoch time: 6.0218644142s, input_fired_time: 0.1104405150, output_fired_time: 0.0000000000, propagate_forward_time: 5.4681210518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4433026314
validation[          , genome  2228] predictions:    9587/  10000 (95.87%), best:    9587/10000 (95.87%), error:      1452.01880, best error:      1373.64575 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 76.5074157715s, input_fired_time: 0.8972819448, output_fired_time: 0.8900883198, propagate_forward_time: 27.8680839539, propagate_backward_time: 44.3166732788, weight_update_time: 0.1428901851, other_time: 2.5352821350
epoch time: 5.9429144859s, input_fired_time: 0.1098324060, output_fired_time: 0.0000000000, propagate_forward_time: 5.3882622719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4448199272
validation[          , genome  2228] predictions:    9579/  10000 (95.79%), best:    9587/10000 (95.87%), error:      1461.62134, best error:      1373.64575 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 81.9749374390s, input_fired_time: 0.9476048350, output_fired_time: 0.9503633976, propagate_forward_time: 29.8674945831, propagate_backward_time: 47.5305633545, weight_update_time: 0.1539551616, other_time: 2.6789169312
epoch time: 6.2277951241s, input_fired_time: 0.1147783771, output_fired_time: 0.0000000000, propagate_forward_time: 5.6566481590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4563684464
validation[          , genome  2228] predictions:    9589/  10000 (95.89%), best:    9587/10000 (95.87%), error:      1447.43042, best error:      1373.64575 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 81.7344512939s, input_fired_time: 0.9431158900, output_fired_time: 0.9499569535, propagate_forward_time: 29.9446773529, propagate_backward_time: 47.2402839661, weight_update_time: 0.1514665782, other_time: 2.6564140320
epoch time: 6.6074047089s, input_fired_time: 0.1187885776, output_fired_time: 0.0000000000, propagate_forward_time: 6.0140595436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4745564461
validation[          , genome  2228] predictions:    9618/  10000 (96.18%), best:    9618/10000 (96.18%), error:      1346.59595, best error:      1346.59595 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 80.6318740845s, input_fired_time: 0.9324035048, output_fired_time: 0.9332292080, propagate_forward_time: 29.4799442291, propagate_backward_time: 46.6458396912, weight_update_time: 0.1524456292, other_time: 2.6404609680
epoch time: 6.5949444771s, input_fired_time: 0.1192248240, output_fired_time: 0.0000000000, propagate_forward_time: 5.9936532974, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4820661545
validation[          , genome  2228] predictions:    9504/  10000 (95.04%), best:    9618/10000 (96.18%), error:      1746.67175, best error:      1346.59595 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 80.6613006592s, input_fired_time: 0.9434105754, output_fired_time: 0.9303728342, propagate_forward_time: 29.5840778351, propagate_backward_time: 46.5493774414, weight_update_time: 0.1520560831, other_time: 2.6540603638
epoch time: 6.7429132462s, input_fired_time: 0.1243795753, output_fired_time: 0.0000000000, propagate_forward_time: 6.1245689392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4939646721
validation[          , genome  2228] predictions:    9547/  10000 (95.47%), best:    9618/10000 (96.18%), error:      1570.26025, best error:      1346.59595 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 81.1008453369s, input_fired_time: 0.9420037270, output_fired_time: 0.9388811588, propagate_forward_time: 29.6930236816, propagate_backward_time: 46.9005432129, weight_update_time: 0.1496480107, other_time: 2.6263961792
epoch time: 6.7675323486s, input_fired_time: 0.1212886572, output_fired_time: 0.0000000000, propagate_forward_time: 6.1605710983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4856724739
validation[          , genome  2228] predictions:    9611/  10000 (96.11%), best:    9618/10000 (96.18%), error:      1361.13745, best error:      1346.59595 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 79.8830261230s, input_fired_time: 0.9333068728, output_fired_time: 0.9193786979, propagate_forward_time: 29.3547058105, propagate_backward_time: 46.0517311096, weight_update_time: 0.1477267146, other_time: 2.6239051819
epoch time: 6.2473521233s, input_fired_time: 0.1172050387, output_fired_time: 0.0000000000, propagate_forward_time: 5.6740202904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4561266899
validation[          , genome  2228] predictions:    9602/  10000 (96.02%), best:    9618/10000 (96.18%), error:      1395.50134, best error:      1346.59595 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 81.3324050903s, input_fired_time: 0.9387355447, output_fired_time: 0.9347935915, propagate_forward_time: 29.8081912994, propagate_backward_time: 47.0106468201, weight_update_time: 0.1498983204, other_time: 2.6400413513
epoch time: 6.1585745811s, input_fired_time: 0.1122848764, output_fired_time: 0.0000000000, propagate_forward_time: 5.5908255577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4554643631
validation[          , genome  2228] predictions:    9563/  10000 (95.63%), best:    9618/10000 (96.18%), error:      1467.19214, best error:      1346.59595 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

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_2228.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_2228_1_r2030850812_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: 0.971613
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000469051
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.87621e-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: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 9618
read best_validation_error: 1346.6
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: 2228
read normal distribution: '1 -1.73337852954865 0.701499044895172'
generator_str: '641409162'
read generator: 641409162
read generated_by_map:
1 add_node 1
reading 16 nodes.
reading 27 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: 78.4162139892578s, input_fired_time: 0.913586497306824, output_fired_time: 0.899128019809723, propagate_forward_time: 28.691370010376, propagate_backward_time: 45.3066940307617, weight_update_time: 0.145870640873909, other_time: 2.60543060302734
epoch time: 6.62178468704224s, input_fired_time: 0.119256846606731, output_fired_time: 0, propagate_forward_time: 6.03127098083496, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.471256732940674
validation[          , genome  2228] predictions:    9589/  10000 (95.89%), best:    9618/10000 (96.18%), error:      1408.79150, best error:      1346.59595 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 82.3019714355s, input_fired_time: 0.9464397430, output_fired_time: 0.9508535266, propagate_forward_time: 30.1810035706, propagate_backward_time: 47.5655860901, weight_update_time: 0.1533038318, other_time: 2.6580886841
epoch time: 6.6911931038s, input_fired_time: 0.1169449985, output_fired_time: 0.0000000000, propagate_forward_time: 6.0889921188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4852561951
validation[          , genome  2228] predictions:    9502/  10000 (95.02%), best:    9618/10000 (96.18%), error:      1618.78528, best error:      1346.59595 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 81.0936126709s, input_fired_time: 0.9375538826, output_fired_time: 0.9412468672, propagate_forward_time: 29.6624794006, propagate_backward_time: 46.8914566040, weight_update_time: 0.1511020064, other_time: 2.6608772278
epoch time: 6.4350361824s, input_fired_time: 0.1137107909, output_fired_time: 0.0000000000, propagate_forward_time: 5.8533945084, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4679307938
validation[          , genome  2228] predictions:    9579/  10000 (95.79%), best:    9618/10000 (96.18%), error:      1456.37927, best error:      1346.59595 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 81.9135131836s, input_fired_time: 0.9499937296, output_fired_time: 0.9439609051, propagate_forward_time: 30.0480079651, propagate_backward_time: 47.2955093384, weight_update_time: 0.1518979669, other_time: 2.6760368347
epoch time: 6.4134869576s, input_fired_time: 0.1170612425, output_fired_time: 0.0000000000, propagate_forward_time: 5.8325891495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4638366699
validation[          , genome  2228] predictions:    9552/  10000 (95.52%), best:    9618/10000 (96.18%), error:      1522.06152, best error:      1346.59595 on epoch:    58, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 80.6667022705s, input_fired_time: 0.9369023442, output_fired_time: 0.9299274087, propagate_forward_time: 29.5515880585, propagate_backward_time: 46.5880813599, weight_update_time: 0.1515209526, other_time: 2.6602020264
epoch time: 6.8430380821s, input_fired_time: 0.1232412457, output_fired_time: 0.0000000000, propagate_forward_time: 6.2327766418, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4870200157
validation[          , genome  2228] predictions:    9537/  10000 (95.37%), best:    9618/10000 (96.18%), error:      1523.91406, best error:      1346.59595 on epoch:    58, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 82.1706771851s, input_fired_time: 0.9532005191, output_fired_time: 0.9566228390, propagate_forward_time: 30.0639076233, propagate_backward_time: 47.5180740356, weight_update_time: 0.1533928514, other_time: 2.6788749695
epoch time: 6.6108064651s, input_fired_time: 0.1185583845, output_fired_time: 0.0000000000, propagate_forward_time: 6.0188536644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4733943939
validation[          , genome  2228] predictions:    9608/  10000 (96.08%), best:    9618/10000 (96.18%), error:      1364.81482, best error:      1346.59595 on epoch:    58, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 83.3410873413s, input_fired_time: 0.9568596482, output_fired_time: 0.9640760422, propagate_forward_time: 30.5473251343, propagate_backward_time: 48.1673278809, weight_update_time: 0.1547199786, other_time: 2.7054977417
epoch time: 6.7813320160s, input_fired_time: 0.1221314445, output_fired_time: 0.0000000000, propagate_forward_time: 6.1722145081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4869861603
validation[          , genome  2228] predictions:    9601/  10000 (96.01%), best:    9618/10000 (96.18%), error:      1397.44336, best error:      1346.59595 on epoch:    58, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 81.7158203125s, input_fired_time: 0.9406918287, output_fired_time: 0.9492367506, propagate_forward_time: 29.9147834778, propagate_backward_time: 47.2602233887, weight_update_time: 0.1538572162, other_time: 2.6508903503
epoch time: 6.6817421913s, input_fired_time: 0.1193414629, output_fired_time: 0.0000000000, propagate_forward_time: 6.0894784927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4729223251
validation[          , genome  2228] predictions:    9611/  10000 (96.11%), best:    9618/10000 (96.18%), error:      1373.02124, best error:      1346.59595 on epoch:    58, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 81.7497863770s, input_fired_time: 0.9424437284, output_fired_time: 0.9465303421, propagate_forward_time: 29.8551731110, propagate_backward_time: 47.3637275696, weight_update_time: 0.1509804875, other_time: 2.6419105530
epoch time: 6.6471562386s, input_fired_time: 0.1219324097, output_fired_time: 0.0000000000, propagate_forward_time: 6.0460910797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4791326523
validation[          , genome  2228] predictions:    9577/  10000 (95.77%), best:    9618/10000 (96.18%), error:      1513.91882, best error:      1346.59595 on epoch:    58, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 83.3873977661s, input_fired_time: 0.9561352730, output_fired_time: 0.9599837065, propagate_forward_time: 30.6039924622, propagate_backward_time: 48.1829261780, weight_update_time: 0.1562985927, other_time: 2.6843566895
epoch time: 6.8511052132s, input_fired_time: 0.1253919303, output_fired_time: 0.0000000000, propagate_forward_time: 6.2284555435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4972577095
validation[          , genome  2228] predictions:    9596/  10000 (95.96%), best:    9618/10000 (96.18%), error:      1414.19922, best error:      1346.59595 on epoch:    58, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 82.3148345947s, input_fired_time: 0.9533903003, output_fired_time: 0.9517613649, propagate_forward_time: 30.1969261169, propagate_backward_time: 47.5435256958, weight_update_time: 0.1531154960, other_time: 2.6692314148
epoch time: 5.9868316650s, input_fired_time: 0.1067303196, output_fired_time: 0.0000000000, propagate_forward_time: 5.4305324554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4495687485
validation[          , genome  2228] predictions:    9566/  10000 (95.66%), best:    9618/10000 (96.18%), error:      1523.14185, best error:      1346.59595 on epoch:    58, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 82.5548171997s, input_fired_time: 0.9464850426, output_fired_time: 0.9535047412, propagate_forward_time: 30.1935729980, propagate_backward_time: 47.8132553101, weight_update_time: 0.1526436359, other_time: 2.6479949951
epoch time: 6.4674601555s, input_fired_time: 0.1179640666, output_fired_time: 0.0000000000, propagate_forward_time: 5.8796114922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4698843956
validation[          , genome  2228] predictions:    9616/  10000 (96.16%), best:    9618/10000 (96.18%), error:      1364.56335, best error:      1346.59595 on epoch:    58, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 82.3185119629s, input_fired_time: 0.9493101835, output_fired_time: 0.9501484632, propagate_forward_time: 30.0198459625, propagate_backward_time: 47.7361335754, weight_update_time: 0.1520928890, other_time: 2.6630744934
epoch time: 6.7425670624s, input_fired_time: 0.1196472868, output_fired_time: 0.0000000000, propagate_forward_time: 6.1386370659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4842824936
validation[          , genome  2228] predictions:    9593/  10000 (95.93%), best:    9618/10000 (96.18%), error:      1449.76013, best error:      1346.59595 on epoch:    58, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 82.7441406250s, input_fired_time: 0.9535484314, output_fired_time: 0.9545168281, propagate_forward_time: 30.3933410645, propagate_backward_time: 47.7661552429, weight_update_time: 0.1532228589, other_time: 2.6765785217
epoch time: 6.6273336411s, input_fired_time: 0.1179057360, output_fired_time: 0.0000000000, propagate_forward_time: 6.0303025246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4791254997
validation[          , genome  2228] predictions:    9611/  10000 (96.11%), best:    9618/10000 (96.18%), error:      1388.39941, best error:      1346.59595 on epoch:    58, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 81.4598236084s, input_fired_time: 0.9372980595, output_fired_time: 0.9280747175, propagate_forward_time: 29.8590946198, propagate_backward_time: 47.0805244446, weight_update_time: 0.1524179280, other_time: 2.6548271179
epoch time: 6.7767462730s, input_fired_time: 0.1210326850, output_fired_time: 0.0000000000, propagate_forward_time: 6.1690640450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4866495132
validation[          , genome  2228] predictions:    9512/  10000 (95.12%), best:    9618/10000 (96.18%), error:      1651.78479, best error:      1346.59595 on epoch:    58, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 81.3747406006s, input_fired_time: 0.9418613315, output_fired_time: 0.9471213818, propagate_forward_time: 29.8353576660, propagate_backward_time: 47.0001525879, weight_update_time: 0.1506211460, other_time: 2.6502456665
epoch time: 6.5956335068s, input_fired_time: 0.1192434952, output_fired_time: 0.0000000000, propagate_forward_time: 5.9971632957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4792265892
validation[          , genome  2228] predictions:    9620/  10000 (96.20%), best:    9620/10000 (96.20%), error:      1331.58545, best error:      1331.58545 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 81.0929489136s, input_fired_time: 0.9367095232, output_fired_time: 0.9376677275, propagate_forward_time: 29.6761474609, propagate_backward_time: 46.9157257080, weight_update_time: 0.1506937295, other_time: 2.6267013550
epoch time: 6.4583530426s, input_fired_time: 0.1173403785, output_fired_time: 0.0000000000, propagate_forward_time: 5.8694067001, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4716057777
validation[          , genome  2228] predictions:    9603/  10000 (96.03%), best:    9620/10000 (96.20%), error:      1357.09167, best error:      1331.58545 on epoch:    79, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 82.6988067627s, input_fired_time: 0.9501472116, output_fired_time: 0.9540224075, propagate_forward_time: 30.1722755432, propagate_backward_time: 47.9506340027, weight_update_time: 0.1521842182, other_time: 2.6717224121
epoch time: 6.6943531036s, input_fired_time: 0.1235372648, output_fired_time: 0.0000000000, propagate_forward_time: 6.0918774605, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4789385796
validation[          , genome  2228] predictions:    9598/  10000 (95.98%), best:    9620/10000 (96.20%), error:      1424.94983, best error:      1331.58545 on epoch:    79, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 82.6343002319s, input_fired_time: 0.9495722055, output_fired_time: 0.9498773217, propagate_forward_time: 30.2275981903, propagate_backward_time: 47.8217048645, weight_update_time: 0.1540758312, other_time: 2.6855506897
epoch time: 6.6253371239s, input_fired_time: 0.1188668907, output_fired_time: 0.0000000000, propagate_forward_time: 6.0289244652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4775457382
validation[          , genome  2228] predictions:    9590/  10000 (95.90%), best:    9620/10000 (96.20%), error:      1442.23376, best error:      1331.58545 on epoch:    79, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 82.7954406738s, input_fired_time: 0.9525222778, output_fired_time: 0.9483940005, propagate_forward_time: 30.2819957733, propagate_backward_time: 47.9333686829, weight_update_time: 0.1535509974, other_time: 2.6791572571
epoch time: 6.0988349915s, input_fired_time: 0.1118935868, output_fired_time: 0.0000000000, propagate_forward_time: 5.5330424309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4538989067
validation[          , genome  2228] predictions:    9578/  10000 (95.78%), best:    9620/10000 (96.20%), error:      1454.23438, best error:      1331.58545 on epoch:    79, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 82.3067626953s, input_fired_time: 0.9502483606, output_fired_time: 0.9564740658, propagate_forward_time: 30.1209526062, propagate_backward_time: 47.5998802185, weight_update_time: 0.1521499306, other_time: 2.6792068481
epoch time: 6.5654144287s, input_fired_time: 0.1196748987, output_fired_time: 0.0000000000, propagate_forward_time: 5.9714336395, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4743061066
validation[          , genome  2228] predictions:    9583/  10000 (95.83%), best:    9620/10000 (96.20%), error:      1457.90125, best error:      1331.58545 on epoch:    79, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 80.0814819336s, input_fired_time: 0.9308640361, output_fired_time: 0.9254613519, propagate_forward_time: 29.3705062866, propagate_backward_time: 46.2349929810, weight_update_time: 0.1485404521, other_time: 2.6196594238
epoch time: 6.0564866066s, input_fired_time: 0.1096222326, output_fired_time: 0.0000000000, propagate_forward_time: 5.5007424355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4461221695
validation[          , genome  2228] predictions:    9581/  10000 (95.81%), best:    9620/10000 (96.20%), error:      1442.19983, best error:      1331.58545 on epoch:    79, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 80.8264541626s, input_fired_time: 0.9356868863, output_fired_time: 0.9354011416, propagate_forward_time: 29.7413139343, propagate_backward_time: 46.5724296570, weight_update_time: 0.1501719505, other_time: 2.6416244507
epoch time: 6.5637698174s, input_fired_time: 0.1193423271, output_fired_time: 0.0000000000, propagate_forward_time: 5.9617714882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4826560020
validation[          , genome  2228] predictions:    9595/  10000 (95.95%), best:    9620/10000 (96.20%), error:      1392.00269, best error:      1331.58545 on epoch:    79, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 81.6636199951s, input_fired_time: 0.9431414604, output_fired_time: 0.9461637735, propagate_forward_time: 29.9949607849, propagate_backward_time: 47.1462135315, weight_update_time: 0.1516478211, other_time: 2.6331405640
epoch time: 6.3532361984s, input_fired_time: 0.1167968512, output_fired_time: 0.0000000000, propagate_forward_time: 5.7759385109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4605007172
validation[          , genome  2228] predictions:    9528/  10000 (95.28%), best:    9620/10000 (96.20%), error:      1589.28735, best error:      1331.58545 on epoch:    79, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 81.2991561890s, input_fired_time: 0.9423792958, output_fired_time: 0.9368230104, propagate_forward_time: 29.8230571747, propagate_backward_time: 46.9426841736, weight_update_time: 0.1521232277, other_time: 2.6542091370
epoch time: 6.6844305992s, input_fired_time: 0.1185851097, output_fired_time: 0.0000000000, propagate_forward_time: 6.0905461311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4752993584
validation[          , genome  2228] predictions:    9564/  10000 (95.64%), best:    9620/10000 (96.20%), error:      1483.11877, best error:      1331.58545 on epoch:    79, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 83.0858383179s, input_fired_time: 0.9594146609, output_fired_time: 0.9597790241, propagate_forward_time: 30.4032764435, propagate_backward_time: 48.0622634888, weight_update_time: 0.1549448371, other_time: 2.7011108398
epoch time: 6.4983649254s, input_fired_time: 0.1169335395, output_fired_time: 0.0000000000, propagate_forward_time: 5.9129920006, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4684395790
validation[          , genome  2228] predictions:    9598/  10000 (95.98%), best:    9620/10000 (96.20%), error:      1376.03662, best error:      1331.58545 on epoch:    79, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 81.1227188110s, input_fired_time: 0.9447643757, output_fired_time: 0.9395266771, propagate_forward_time: 29.7851791382, propagate_backward_time: 46.8146972656, weight_update_time: 0.1511719227, other_time: 2.6385498047
epoch time: 6.8339405060s, input_fired_time: 0.1224831268, output_fired_time: 0.0000000000, propagate_forward_time: 6.2223100662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4891471863
validation[          , genome  2228] predictions:    9554/  10000 (95.54%), best:    9620/10000 (96.20%), error:      1570.15759, best error:      1331.58545 on epoch:    79, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 81.2974319458s, input_fired_time: 0.9385596514, output_fired_time: 0.9397649169, propagate_forward_time: 29.8159904480, propagate_backward_time: 46.9792747498, weight_update_time: 0.1521602422, other_time: 2.6238403320
epoch time: 6.7217078209s, input_fired_time: 0.1213020384, output_fired_time: 0.0000000000, propagate_forward_time: 6.1228494644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4775562286
validation[          , genome  2228] predictions:    9591/  10000 (95.91%), best:    9620/10000 (96.20%), error:      1378.57605, best error:      1331.58545 on epoch:    79, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 83.1294937134s, input_fired_time: 0.9610524178, output_fired_time: 0.9629021883, propagate_forward_time: 30.4017925262, propagate_backward_time: 48.1094818115, weight_update_time: 0.1544240117, other_time: 2.6942596436
epoch time: 6.7269802094s, input_fired_time: 0.1220802069, output_fired_time: 0.0000000000, propagate_forward_time: 6.1292748451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4756250381
validation[          , genome  2228] predictions:    9610/  10000 (96.10%), best:    9620/10000 (96.20%), error:      1350.38757, best error:      1331.58545 on epoch:    79, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 82.5814361572s, input_fired_time: 0.9551771283, output_fired_time: 0.9558856487, propagate_forward_time: 30.2394485474, propagate_backward_time: 47.7507400513, weight_update_time: 0.1554942131, other_time: 2.6801834106
epoch time: 6.6406755447s, input_fired_time: 0.1208394989, output_fired_time: 0.0000000000, propagate_forward_time: 6.0377488136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4820871353
validation[          , genome  2228] predictions:    9582/  10000 (95.82%), best:    9620/10000 (96.20%), error:      1400.09802, best error:      1331.58545 on epoch:    79, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 82.2350845337s, input_fired_time: 0.9505091906, output_fired_time: 0.9437885284, propagate_forward_time: 30.1353778839, propagate_backward_time: 47.5303840637, weight_update_time: 0.1515775323, other_time: 2.6750297546
epoch time: 6.6768474579s, input_fired_time: 0.1198445037, output_fired_time: 0.0000000000, propagate_forward_time: 6.0777192116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4792838097
validation[          , genome  2228] predictions:    9585/  10000 (95.85%), best:    9620/10000 (96.20%), error:      1435.28943, best error:      1331.58545 on epoch:    79, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 82.1048736572s, input_fired_time: 0.9452289343, output_fired_time: 0.9458620548, propagate_forward_time: 30.1809806824, propagate_backward_time: 47.3868713379, weight_update_time: 0.1518338472, other_time: 2.6459312439
epoch time: 6.5885243416s, input_fired_time: 0.1179351285, output_fired_time: 0.0000000000, propagate_forward_time: 5.9989328384, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4716563225
validation[          , genome  2228] predictions:    9569/  10000 (95.69%), best:    9620/10000 (96.20%), error:      1488.90198, best error:      1331.58545 on epoch:    79, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 82.0765686035s, input_fired_time: 0.9482719302, output_fired_time: 0.9558287859, propagate_forward_time: 30.1714820862, propagate_backward_time: 47.3415412903, weight_update_time: 0.1551651806, other_time: 2.6594467163
epoch time: 6.6462721825s, input_fired_time: 0.1190676540, output_fired_time: 0.0000000000, propagate_forward_time: 6.0385375023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4886670113
validation[          , genome  2228] predictions:    9496/  10000 (94.96%), best:    9620/10000 (96.20%), error:      1674.21106, best error:      1331.58545 on epoch:    79, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 83.2591171265s, input_fired_time: 0.9561000466, output_fired_time: 0.9631618857, propagate_forward_time: 30.5502357483, propagate_backward_time: 48.0960044861, weight_update_time: 0.1529802531, other_time: 2.6936111450
epoch time: 6.3381390572s, input_fired_time: 0.1172473282, output_fired_time: 0.0000000000, propagate_forward_time: 5.7650871277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4558048248
validation[          , genome  2228] predictions:    9569/  10000 (95.69%), best:    9620/10000 (96.20%), error:      1505.72803, best error:      1331.58545 on epoch:    79, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 82.5684127808s, input_fired_time: 0.9650470614, output_fired_time: 0.9501616955, propagate_forward_time: 30.2624073029, propagate_backward_time: 47.7286949158, weight_update_time: 0.1522617340, other_time: 2.6620979309
epoch time: 6.5380887985s, input_fired_time: 0.1220508665, output_fired_time: 0.0000000000, propagate_forward_time: 5.9362311363, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4798069000
validation[          , genome  2228] predictions:    9539/  10000 (95.39%), best:    9620/10000 (96.20%), error:      1564.29309, best error:      1331.58545 on epoch:    79, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 77.9272003174s, input_fired_time: 0.9295272827, output_fired_time: 0.8998166323, propagate_forward_time: 28.4895019531, propagate_backward_time: 45.0388565063, weight_update_time: 0.1454980224, other_time: 2.5694961548
epoch time: 6.7030439377s, input_fired_time: 0.1242277995, output_fired_time: 0.0000000000, propagate_forward_time: 6.0936107635, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4852051735
validation[          , genome  2228] predictions:    9577/  10000 (95.77%), best:    9620/10000 (96.20%), error:      1467.99023, best error:      1331.58545 on epoch:    79, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 82.6477355957s, input_fired_time: 0.9520564675, output_fired_time: 0.9480941892, propagate_forward_time: 30.2751178741, propagate_backward_time: 47.7888450623, weight_update_time: 0.1521134377, other_time: 2.6836204529
epoch time: 6.5668330193s, input_fired_time: 0.1185325533, output_fired_time: 0.0000000000, propagate_forward_time: 5.9759087563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4723916054
validation[          , genome  2228] predictions:    9595/  10000 (95.95%), best:    9620/10000 (96.20%), error:      1422.35083, best error:      1331.58545 on epoch:    79, 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: 33.5787277222s, input_fired_time: 0.6069568396, output_fired_time: 0.0000000000, propagate_forward_time: 30.4867305756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4850406647
best training[          , genome  2228] predictions:   48759/  50000 (97.52%), best:    9620/10000 (96.20%), error:      4513.28125, best error:      1331.58545 on epoch:    79, 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: 6.3850655556s, input_fired_time: 0.1187222153, output_fired_time: 0.0000000000, propagate_forward_time: 5.7962236404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4701194763
   testing[          , genome  2228] predictions:    9616/  10000 (96.16%), best:    9620/10000 (96.20%), error:      1317.21912, best error:      1331.58545 on epoch:    79, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
09:42:16 (5636): called boinc_finish(0)

</stderr_txt>
]]>