Nameexact_genome_1512568488_44_4474_1
Workunit2593682
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:12 UTC
Report deadline13 Dec 2017, 22:20:59 UTC
Received7 Dec 2017, 23:52:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time2 hours 40 min 17 sec
CPU time2 hours 16 min 36 sec
Validate stateValid
Credit1,626.35
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.51 MB
Peak swap size157.46 MB
Peak disk usage1.73 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
10000 (97.10%), error:      1066.85449, best error:      1009.31738 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 85.8051681519s, input_fired_time: 0.8413775563, output_fired_time: 0.8862864971, propagate_forward_time: 30.2370948792, propagate_backward_time: 51.5175476074, weight_update_time: 0.0839966014, other_time: 2.3228645325
epoch time: 6.7982139587s, input_fired_time: 0.1010489389, output_fired_time: 0.0000000000, propagate_forward_time: 6.1092786789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5878863335
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9708/10000 (97.08%), error:       976.76050, best error:       976.76050 on epoch:    27, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 85.7380981445s, input_fired_time: 0.8406398892, output_fired_time: 1.1319293976, propagate_forward_time: 28.9495925903, propagate_backward_time: 52.7560653687, weight_update_time: 0.0832695141, other_time: 2.0598754883
epoch time: 6.4142856598s, input_fired_time: 0.0984919667, output_fired_time: 0.0000000000, propagate_forward_time: 5.9853510857, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304424286
validation[          , genome  4474] predictions:    9653/  10000 (96.53%), best:    9708/10000 (97.08%), error:      1190.27039, best error:       976.76050 on epoch:    27, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 85.7541351318s, input_fired_time: 0.8430560827, output_fired_time: 0.6336188912, propagate_forward_time: 31.2694702148, propagate_backward_time: 50.9236907959, weight_update_time: 0.0839494690, other_time: 2.0842971802
epoch time: 6.4514842033s, input_fired_time: 0.1004052982, output_fired_time: 0.0000000000, propagate_forward_time: 6.0167121887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3343667984
validation[          , genome  4474] predictions:    9616/  10000 (96.16%), best:    9708/10000 (97.08%), error:      1247.01257, best error:       976.76050 on epoch:    27, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 85.0714111328s, input_fired_time: 0.8340421319, output_fired_time: 0.8754408956, propagate_forward_time: 27.3637561798, propagate_backward_time: 53.9139175415, weight_update_time: 0.0840488076, other_time: 2.0842514038
epoch time: 6.4832987785s, input_fired_time: 0.1002041027, output_fired_time: 0.0000000000, propagate_forward_time: 5.7968878746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5862069130
validation[          , genome  4474] predictions:    9650/  10000 (96.50%), best:    9708/10000 (97.08%), error:      1183.19971, best error:       976.76050 on epoch:    27, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 85.2180404663s, input_fired_time: 0.8417165875, output_fired_time: 0.8861795664, propagate_forward_time: 30.7299289703, propagate_backward_time: 49.4265213013, weight_update_time: 0.0838829055, other_time: 3.3337020874
epoch time: 6.6440906525s, input_fired_time: 0.0980081111, output_fired_time: 0.0000000000, propagate_forward_time: 5.9691777229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5769047737
validation[          , genome  4474] predictions:    9682/  10000 (96.82%), best:    9708/10000 (97.08%), error:      1058.20142, best error:       976.76050 on epoch:    27, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 85.2715911865s, input_fired_time: 0.8389530182, output_fired_time: 1.1329164505, propagate_forward_time: 30.2402496338, propagate_backward_time: 50.9700737000, weight_update_time: 0.0842136741, other_time: 2.0893974304
epoch time: 6.6901063919s, input_fired_time: 0.3486981690, output_fired_time: 0.0000000000, propagate_forward_time: 5.5062255859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8351826668
validation[          , genome  4474] predictions:    9695/  10000 (96.95%), best:    9708/10000 (97.08%), error:      1041.50769, best error:       976.76050 on epoch:    27, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 85.0481491089s, input_fired_time: 0.8381263614, output_fired_time: 0.8785902262, propagate_forward_time: 28.8539218903, propagate_backward_time: 51.8920936584, weight_update_time: 0.0841808766, other_time: 2.5854148865
epoch time: 6.8754868507s, input_fired_time: 0.1017719135, output_fired_time: 0.0000000000, propagate_forward_time: 6.4329242706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3407907486
validation[          , genome  4474] predictions:    9683/  10000 (96.83%), best:    9708/10000 (97.08%), error:      1017.03729, best error:       976.76050 on epoch:    27, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 85.2654571533s, input_fired_time: 1.0929358006, output_fired_time: 0.6260590553, propagate_forward_time: 29.2546634674, propagate_backward_time: 51.9382133484, weight_update_time: 0.0848644450, other_time: 2.3535881042
epoch time: 6.6113367081s, input_fired_time: 0.0986342803, output_fired_time: 0.0000000000, propagate_forward_time: 5.9338817596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5788207054
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9708/10000 (97.08%), error:       983.77954, best error:       976.76050 on epoch:    27, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 85.1969146729s, input_fired_time: 1.5931005478, output_fired_time: 1.3822810650, propagate_forward_time: 31.2698478699, propagate_backward_time: 47.6082077026, weight_update_time: 0.0837154612, other_time: 3.3434791565
epoch time: 6.6440072060s, input_fired_time: 0.0989578515, output_fired_time: 0.0000000000, propagate_forward_time: 5.9647660255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5802831650
validation[          , genome  4474] predictions:    9682/  10000 (96.82%), best:    9708/10000 (97.08%), error:      1034.38525, best error:       976.76050 on epoch:    27, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 85.1142425537s, input_fired_time: 1.3403090239, output_fired_time: 0.6305270791, propagate_forward_time: 28.5871753693, propagate_backward_time: 52.4691658020, weight_update_time: 0.0838701054, other_time: 2.0870704651
epoch time: 6.4107732773s, input_fired_time: 0.0990126655, output_fired_time: 0.0000000000, propagate_forward_time: 5.7302460670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5815143585
validation[          , genome  4474] predictions:    9695/  10000 (96.95%), best:    9708/10000 (97.08%), error:      1023.75616, best error:       976.76050 on epoch:    27, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 85.5720520020s, input_fired_time: 1.0885797739, output_fired_time: 0.8801262379, propagate_forward_time: 28.3690242767, propagate_backward_time: 53.1498107910, weight_update_time: 0.0841762573, other_time: 2.0845108032
epoch time: 6.4089789391s, input_fired_time: 0.0993572026, output_fired_time: 0.0000000000, propagate_forward_time: 5.7270054817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5826163292
validation[          , genome  4474] predictions:    9715/  10000 (97.15%), best:    9708/10000 (97.08%), error:       986.07434, best error:       976.76050 on epoch:    27, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 85.3162002563s, input_fired_time: 0.8395900726, output_fired_time: 0.6269672513, propagate_forward_time: 29.0260753632, propagate_backward_time: 52.7475280762, weight_update_time: 0.0835680291, other_time: 2.0760345459
epoch time: 6.3782119751s, input_fired_time: 0.0988958925, output_fired_time: 0.0000000000, propagate_forward_time: 5.9493374825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3299784660
validation[          , genome  4474] predictions:    9668/  10000 (96.68%), best:    9708/10000 (97.08%), error:      1141.15161, best error:       976.76050 on epoch:    27, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 85.1101379395s, input_fired_time: 1.3403044939, output_fired_time: 1.1228554249, propagate_forward_time: 28.8177604675, propagate_backward_time: 51.4760246277, weight_update_time: 0.0849637613, other_time: 2.3531951904
epoch time: 6.7232131958s, input_fired_time: 0.1002977639, output_fired_time: 0.0000000000, propagate_forward_time: 6.2864789963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3364362717
validation[          , genome  4474] predictions:    9680/  10000 (96.80%), best:    9708/10000 (97.08%), error:      1067.28320, best error:       976.76050 on epoch:    27, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 84.6980972290s, input_fired_time: 0.8383004069, output_fired_time: 1.1251851320, propagate_forward_time: 29.2823543549, propagate_backward_time: 51.3599014282, weight_update_time: 0.0842945725, other_time: 2.0923538208
epoch time: 6.3617072105s, input_fired_time: 0.0991923809, output_fired_time: 0.0000000000, propagate_forward_time: 5.9318475723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3306674957
validation[          , genome  4474] predictions:    9732/  10000 (97.32%), best:    9732/10000 (97.32%), error:       908.17792, best error:       908.17792 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 85.0712356567s, input_fired_time: 1.3412964344, output_fired_time: 0.6249018908, propagate_forward_time: 29.2691822052, propagate_backward_time: 51.2370185852, weight_update_time: 0.0844384059, other_time: 2.5988426208
epoch time: 6.4088220596s, input_fired_time: 0.0990223959, output_fired_time: 0.0000000000, propagate_forward_time: 5.9793291092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304705620
validation[          , genome  4474] predictions:    9688/  10000 (96.88%), best:    9732/10000 (97.32%), error:      1031.92432, best error:       908.17792 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 81.2288513184s, input_fired_time: 1.5894418955, output_fired_time: 0.8780625463, propagate_forward_time: 30.7555370331, propagate_backward_time: 45.9234008789, weight_update_time: 0.0840580389, other_time: 2.0824127197
epoch time: 4.7968006134s, input_fired_time: 0.0977945700, output_fired_time: 0.0000000000, propagate_forward_time: 4.3739132881, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3250927925
validation[          , genome  4474] predictions:    9703/  10000 (97.03%), best:    9732/10000 (97.32%), error:       983.05255, best error:       908.17792 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 62.6246032715s, input_fired_time: 0.8299504519, output_fired_time: 0.6158406734, propagate_forward_time: 21.8860816956, propagate_backward_time: 37.5006942749, weight_update_time: 0.0822239965, other_time: 1.7920341492
epoch time: 4.7990198135s, input_fired_time: 0.0973803774, output_fired_time: 0.0000000000, propagate_forward_time: 4.3757739067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3258657455
validation[          , genome  4474] predictions:    9715/  10000 (97.15%), best:    9732/10000 (97.32%), error:       994.92664, best error:       908.17792 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 62.6214332581s, input_fired_time: 0.8286151886, output_fired_time: 0.6156762242, propagate_forward_time: 21.8795623779, propagate_backward_time: 37.5064659119, weight_update_time: 0.0824313313, other_time: 1.7911109924
epoch time: 4.7978734970s, input_fired_time: 0.0971479490, output_fired_time: 0.0000000000, propagate_forward_time: 4.3758573532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3248682022
validation[          , genome  4474] predictions:    9686/  10000 (96.86%), best:    9732/10000 (97.32%), error:      1032.99512, best error:       908.17792 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 62.6614685059s, input_fired_time: 0.8303414583, output_fired_time: 0.6157495975, propagate_forward_time: 21.8966178894, propagate_backward_time: 37.5254821777, weight_update_time: 0.0822019801, other_time: 1.7932777405
epoch time: 4.8037204742s, input_fired_time: 0.0984043628, output_fired_time: 0.0000000000, propagate_forward_time: 4.3806037903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3247122765
validation[          , genome  4474] predictions:    9604/  10000 (96.04%), best:    9732/10000 (97.32%), error:      1273.66455, best error:       908.17792 on epoch:    40, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 62.6371192932s, input_fired_time: 0.8306385279, output_fired_time: 0.6158227921, propagate_forward_time: 21.8970985413, propagate_backward_time: 37.5103378296, weight_update_time: 0.0817652196, other_time: 1.7832221985
epoch time: 4.9167466164s, input_fired_time: 0.1000259221, output_fired_time: 0.0000000000, propagate_forward_time: 4.4877452850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3289752007
validation[          , genome  4474] predictions:    9715/  10000 (97.15%), best:    9732/10000 (97.32%), error:      1000.62421, best error:       908.17792 on epoch:    40, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 62.6432495117s, input_fired_time: 0.8308376670, output_fired_time: 0.6163692474, propagate_forward_time: 21.8885078430, propagate_backward_time: 37.5225830078, weight_update_time: 0.0821942762, other_time: 1.7849540710
epoch time: 4.8732247353s, input_fired_time: 0.0991268381, output_fired_time: 0.0000000000, propagate_forward_time: 4.4474945068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3266034126
validation[          , genome  4474] predictions:    9687/  10000 (96.87%), best:    9732/10000 (97.32%), error:      1015.40057, best error:       908.17792 on epoch:    40, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 62.6611709595s, input_fired_time: 0.8311905265, output_fired_time: 0.6163681149, propagate_forward_time: 21.8883190155, propagate_backward_time: 37.5392913818, weight_update_time: 0.0820898563, other_time: 1.7860031128
epoch time: 4.7992715836s, input_fired_time: 0.0985083133, output_fired_time: 0.0000000000, propagate_forward_time: 4.3741245270, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3266386986
validation[          , genome  4474] predictions:    9632/  10000 (96.32%), best:    9732/10000 (97.32%), error:      1187.49011, best error:       908.17792 on epoch:    40, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 62.6123428345s, input_fired_time: 0.8321036100, output_fired_time: 0.6156297326, propagate_forward_time: 21.8782138824, propagate_backward_time: 37.5045280457, weight_update_time: 0.0820980370, other_time: 1.7818641663
epoch time: 4.8030982018s, input_fired_time: 0.0999030173, output_fired_time: 0.0000000000, propagate_forward_time: 4.3790025711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3241925240
validation[          , genome  4474] predictions:    9666/  10000 (96.66%), best:    9732/10000 (97.32%), error:      1142.11438, best error:       908.17792 on epoch:    40, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 62.6308403015s, input_fired_time: 0.8313773274, output_fired_time: 0.6153882146, propagate_forward_time: 21.8709316254, propagate_backward_time: 37.5298576355, weight_update_time: 0.0820524767, other_time: 1.7832832336
epoch time: 4.8143672943s, input_fired_time: 0.0987781659, output_fired_time: 0.0000000000, propagate_forward_time: 4.3892893791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3262996674
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9732/10000 (97.32%), error:       972.24951, best error:       908.17792 on epoch:    40, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 62.7565574646s, input_fired_time: 0.8323925734, output_fired_time: 0.6165143251, propagate_forward_time: 21.9231681824, propagate_backward_time: 37.5904846191, weight_update_time: 0.0824805126, other_time: 1.7939949036
epoch time: 4.7985978127s, input_fired_time: 0.0989716798, output_fired_time: 0.0000000000, propagate_forward_time: 4.3740253448, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3256006241
validation[          , genome  4474] predictions:    9711/  10000 (97.11%), best:    9732/10000 (97.32%), error:       965.73431, best error:       908.17792 on epoch:    40, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 62.6708030701s, input_fired_time: 0.8333106041, output_fired_time: 0.6162395477, propagate_forward_time: 21.8916416168, propagate_backward_time: 37.5362091064, weight_update_time: 0.0822460130, other_time: 1.7934036255
epoch time: 4.7968101501s, input_fired_time: 0.0983793065, output_fired_time: 0.0000000000, propagate_forward_time: 4.3747773170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3236536980
validation[          , genome  4474] predictions:    9729/  10000 (97.29%), best:    9732/10000 (97.32%), error:       943.39044, best error:       908.17792 on epoch:    40, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 62.6971893311s, input_fired_time: 0.8345773220, output_fired_time: 0.6166614890, propagate_forward_time: 21.9072227478, propagate_backward_time: 37.5443382263, weight_update_time: 0.0822567493, other_time: 1.7943916321
epoch time: 4.8043980598s, input_fired_time: 0.0981222242, output_fired_time: 0.0000000000, propagate_forward_time: 4.3805379868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3257379532
validation[          , genome  4474] predictions:    9685/  10000 (96.85%), best:    9732/10000 (97.32%), error:      1007.99164, best error:       908.17792 on epoch:    40, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 62.7327766418s, input_fired_time: 0.8360759020, output_fired_time: 0.6165205240, propagate_forward_time: 21.9122028351, propagate_backward_time: 37.5705566406, weight_update_time: 0.0823448375, other_time: 1.7974243164
epoch time: 4.8925738335s, input_fired_time: 0.0994801223, output_fired_time: 0.0000000000, propagate_forward_time: 4.4644665718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3286271095
validation[          , genome  4474] predictions:    9713/  10000 (97.13%), best:    9732/10000 (97.32%), error:       983.10742, best error:       908.17792 on epoch:    40, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 62.6849479675s, input_fired_time: 0.8350726962, output_fired_time: 0.6160018444, propagate_forward_time: 21.9060821533, propagate_backward_time: 37.5314445496, weight_update_time: 0.0822859555, other_time: 1.7963485718
epoch time: 4.7989883423s, input_fired_time: 0.0992665961, output_fired_time: 0.0000000000, propagate_forward_time: 4.3754749298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3242468834
validation[          , genome  4474] predictions:    9668/  10000 (96.68%), best:    9732/10000 (97.32%), error:      1079.90344, best error:       908.17792 on epoch:    40, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 62.6647453308s, input_fired_time: 0.8344842792, output_fired_time: 0.6150971055, propagate_forward_time: 21.8958530426, propagate_backward_time: 37.5340003967, weight_update_time: 0.0821922645, other_time: 1.7853126526
epoch time: 4.8047680855s, input_fired_time: 0.0991365239, output_fired_time: 0.0000000000, propagate_forward_time: 4.3821907043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3234410286
validation[          , genome  4474] predictions:    9697/  10000 (96.97%), best:    9732/10000 (97.32%), error:       993.43127, best error:       908.17792 on epoch:    40, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 62.7042770386s, input_fired_time: 0.8361553550, output_fired_time: 0.6162434816, propagate_forward_time: 21.9108562469, propagate_backward_time: 37.5497398376, weight_update_time: 0.0820836872, other_time: 1.7912788391
epoch time: 4.7968931198s, input_fired_time: 0.0989015326, output_fired_time: 0.0000000000, propagate_forward_time: 4.3747549057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3232364655
validation[          , genome  4474] predictions:    9661/  10000 (96.61%), best:    9732/10000 (97.32%), error:      1091.54956, best error:       908.17792 on epoch:    40, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 62.6260528564s, input_fired_time: 0.8342795372, output_fired_time: 0.6155336499, propagate_forward_time: 21.8802623749, propagate_backward_time: 37.5118637085, weight_update_time: 0.0818512589, other_time: 1.7841186523
epoch time: 4.7965254784s, input_fired_time: 0.0986726657, output_fired_time: 0.0000000000, propagate_forward_time: 4.3746352196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3232173920
validation[          , genome  4474] predictions:    9700/  10000 (97.00%), best:    9732/10000 (97.32%), error:       977.98035, best error:       908.17792 on epoch:    40, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 62.7568244934s, input_fired_time: 0.8355757594, output_fired_time: 0.6166513562, propagate_forward_time: 21.9257125854, propagate_backward_time: 37.5897598267, weight_update_time: 0.0819787085, other_time: 1.7891273499
epoch time: 4.7982163429s, input_fired_time: 0.0991606191, output_fired_time: 0.0000000000, propagate_forward_time: 4.3749113083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3241443634
validation[          , genome  4474] predictions:    9704/  10000 (97.04%), best:    9732/10000 (97.32%), error:      1021.69891, best error:       908.17792 on epoch:    40, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 62.7090072632s, input_fired_time: 0.8366931677, output_fired_time: 0.6163487434, propagate_forward_time: 21.9045581818, propagate_backward_time: 37.5631103516, weight_update_time: 0.0820591226, other_time: 1.7882995605
epoch time: 4.7984118462s, input_fired_time: 0.1001810506, output_fired_time: 0.0000000000, propagate_forward_time: 4.3748369217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3233938217
validation[          , genome  4474] predictions:    9684/  10000 (96.84%), best:    9732/10000 (97.32%), error:       998.41150, best error:       908.17792 on epoch:    40, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 62.7063026428s, input_fired_time: 0.8377038836, output_fired_time: 0.6158660650, propagate_forward_time: 21.9086513519, propagate_backward_time: 37.5556678772, weight_update_time: 0.0822127387, other_time: 1.7884101868
epoch time: 4.7973833084s, input_fired_time: 0.0995518118, output_fired_time: 0.0000000000, propagate_forward_time: 4.3748311996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3230004311
validation[          , genome  4474] predictions:    9709/  10000 (97.09%), best:    9732/10000 (97.32%), error:       977.00958, best error:       908.17792 on epoch:    40, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 62.6846008301s, input_fired_time: 0.8362662792, output_fired_time: 0.6174842715, propagate_forward_time: 21.8969497681, propagate_backward_time: 37.5535240173, weight_update_time: 0.0818051472, other_time: 1.7803764343
epoch time: 4.7990632057s, input_fired_time: 0.0993357003, output_fired_time: 0.0000000000, propagate_forward_time: 4.3753304482, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3243970871
validation[          , genome  4474] predictions:    9709/  10000 (97.09%), best:    9732/10000 (97.32%), error:       994.93396, best error:       908.17792 on epoch:    40, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 62.7170791626s, input_fired_time: 0.8389711380, output_fired_time: 0.6174850464, propagate_forward_time: 21.8935680389, propagate_backward_time: 37.5817298889, weight_update_time: 0.0820832327, other_time: 1.7853279114
epoch time: 4.8097848892s, input_fired_time: 0.0994734615, output_fired_time: 0.0000000000, propagate_forward_time: 4.3850955963, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3252158165
validation[          , genome  4474] predictions:    9676/  10000 (96.76%), best:    9732/10000 (97.32%), error:      1044.66296, best error:       908.17792 on epoch:    40, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 62.6712493896s, input_fired_time: 0.8384898305, output_fired_time: 0.6158422828, propagate_forward_time: 21.9006748199, propagate_backward_time: 37.5339317322, weight_update_time: 0.0817785189, other_time: 1.7823143005
epoch time: 4.8050894737s, input_fired_time: 0.0997683629, output_fired_time: 0.0000000000, propagate_forward_time: 4.3804368973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3248844147
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9732/10000 (97.32%), error:       984.67114, best error:       908.17792 on epoch:    40, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

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_44_4474.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4474_1_r1897145878_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: 0.972533
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000445599
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.7824e-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: 65
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9732
read best_validation_error: 908.178
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: 4474
read normal distribution: '1 0 0'
generator_str: '1452297115'
read generator: 1452297115
read generated_by_map:
1 enable_node 1
reading 20 nodes.
reading 38 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: 70.2537078857422s, input_fired_time: 0.893255591392517, output_fired_time: 0.680328965187073, propagate_forward_time: 24.9474754333496, propagate_backward_time: 41.7292900085449, weight_update_time: 0.0890785157680511, other_time: 2.00335693359375
epoch time: 5.35915851593018s, input_fired_time: 0.106494829058647, output_fired_time: 0, propagate_forward_time: 4.8974871635437, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.355176448822021
validation[          , genome  4474] predictions:    9670/  10000 (96.70%), best:    9732/10000 (97.32%), error:      1030.24963, best error:       908.17792 on epoch:    40, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 71.5401611328s, input_fired_time: 0.9011207223, output_fired_time: 0.6921559572, propagate_forward_time: 25.4962215424, propagate_backward_time: 42.4286041260, weight_update_time: 0.0903498232, other_time: 2.0220565796
epoch time: 4.8059434891s, input_fired_time: 0.1003885716, output_fired_time: 0.0000000000, propagate_forward_time: 4.3749461174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3306088448
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9732/10000 (97.32%), error:       955.99982, best error:       908.17792 on epoch:    40, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 72.5426712036s, input_fired_time: 0.9075983167, output_fired_time: 0.7023382187, propagate_forward_time: 25.8872852325, propagate_backward_time: 43.0114364624, weight_update_time: 0.0911505148, other_time: 2.0340118408
epoch time: 4.8074111938s, input_fired_time: 0.1003234982, output_fired_time: 0.0000000000, propagate_forward_time: 4.3766746521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3304128647
validation[          , genome  4474] predictions:    9693/  10000 (96.93%), best:    9732/10000 (97.32%), error:       992.18378, best error:       908.17792 on epoch:    40, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 99.8030624390s, input_fired_time: 0.9519344568, output_fired_time: 1.0050482750, propagate_forward_time: 37.4608306885, propagate_backward_time: 57.9588890076, weight_update_time: 0.0985004455, other_time: 2.4263572693
epoch time: 7.0186886787s, input_fired_time: 0.1050038040, output_fired_time: 0.0000000000, propagate_forward_time: 6.3090500832, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6046347618
validation[          , genome  4474] predictions:    9708/  10000 (97.08%), best:    9732/10000 (97.32%), error:       991.51392, best error:       908.17792 on epoch:    40, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 102.1801223755s, input_fired_time: 1.4363402128, output_fired_time: 0.7360185981, propagate_forward_time: 37.3152542114, propagate_backward_time: 60.0516128540, weight_update_time: 0.0961134955, other_time: 2.6408996582
epoch time: 7.8983669281s, input_fired_time: 0.1114638746, output_fired_time: 0.0000000000, propagate_forward_time: 7.4054851532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3814177513
validation[          , genome  4474] predictions:    9601/  10000 (96.01%), best:    9732/10000 (97.32%), error:      1330.04443, best error:       908.17792 on epoch:    40, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 101.8151016235s, input_fired_time: 1.6837022305, output_fired_time: 0.9828788638, propagate_forward_time: 36.6544685364, propagate_backward_time: 59.6100006104, weight_update_time: 0.0959568173, other_time: 2.8840522766
epoch time: 9.1212310791s, input_fired_time: 0.1247470230, output_fired_time: 0.0000000000, propagate_forward_time: 8.0785398483, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9179439545
validation[          , genome  4474] predictions:    9716/  10000 (97.16%), best:    9732/10000 (97.32%), error:       946.06488, best error:       908.17792 on epoch:    40, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 106.2422790527s, input_fired_time: 1.4608545303, output_fired_time: 1.0140469074, propagate_forward_time: 39.2749900818, propagate_backward_time: 62.2536773682, weight_update_time: 0.0995408148, other_time: 2.2387084961
epoch time: 9.8390169144s, input_fired_time: 0.1299904734, output_fired_time: 0.0000000000, propagate_forward_time: 9.2693939209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4396324158
validation[          , genome  4474] predictions:    9699/  10000 (96.99%), best:    9732/10000 (97.32%), error:       959.64862, best error:       908.17792 on epoch:    40, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 109.9906005859s, input_fired_time: 1.2273877859, output_fired_time: 1.0405102968, propagate_forward_time: 39.4572601318, propagate_backward_time: 65.7676925659, weight_update_time: 0.1023307517, other_time: 2.4977493286
epoch time: 9.6451997757s, input_fired_time: 0.3773443401, output_fired_time: 0.0000000000, propagate_forward_time: 8.8367280960, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4311275482
validation[          , genome  4474] predictions:    9647/  10000 (96.47%), best:    9732/10000 (97.32%), error:      1114.58679, best error:       908.17792 on epoch:    40, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 116.4605865479s, input_fired_time: 1.0097076893, output_fired_time: 1.3281846046, propagate_forward_time: 41.4661331177, propagate_backward_time: 69.5642547607, weight_update_time: 0.3576393127, other_time: 3.0923080444
epoch time: 7.4847383499s, input_fired_time: 0.1103225723, output_fired_time: 0.0000000000, propagate_forward_time: 7.0102725029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3641433716
validation[          , genome  4474] predictions:    9688/  10000 (96.88%), best:    9732/10000 (97.32%), error:      1046.07104, best error:       908.17792 on epoch:    40, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 121.3907318115s, input_fired_time: 1.2830971479, output_fired_time: 1.3610031605, propagate_forward_time: 44.4111404419, propagate_backward_time: 70.6775894165, weight_update_time: 0.1113441885, other_time: 3.6579055786
epoch time: 8.9223585129s, input_fired_time: 0.1227916330, output_fired_time: 0.0000000000, propagate_forward_time: 8.3884820938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4110851288
validation[          , genome  4474] predictions:    9718/  10000 (97.18%), best:    9732/10000 (97.32%), error:       966.97437, best error:       908.17792 on epoch:    40, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 123.7195129395s, input_fired_time: 1.5429991484, output_fired_time: 1.1235808134, propagate_forward_time: 44.8604354858, propagate_backward_time: 72.5099639893, weight_update_time: 0.1126764268, other_time: 3.6825332642
epoch time: 10.2834625244s, input_fired_time: 0.1355105191, output_fired_time: 0.0000000000, propagate_forward_time: 9.4415216446, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7064304352
validation[          , genome  4474] predictions:    9637/  10000 (96.37%), best:    9732/10000 (97.32%), error:      1186.95911, best error:       908.17792 on epoch:    40, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 116.4186782837s, input_fired_time: 1.2579488754, output_fired_time: 1.3276318312, propagate_forward_time: 43.5882034302, propagate_backward_time: 67.6588134766, weight_update_time: 0.1072332859, other_time: 2.5860824585
epoch time: 8.4628772736s, input_fired_time: 0.1201204509, output_fired_time: 0.0000000000, propagate_forward_time: 7.6898446083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6529126167
validation[          , genome  4474] predictions:    9690/  10000 (96.90%), best:    9732/10000 (97.32%), error:      1003.93097, best error:       908.17792 on epoch:    40, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 115.1895370483s, input_fired_time: 1.2546060085, output_fired_time: 1.0703858137, propagate_forward_time: 42.8182182312, propagate_backward_time: 66.9770812988, weight_update_time: 0.1063459590, other_time: 3.0692443848
epoch time: 8.4945201874s, input_fired_time: 0.1211685613, output_fired_time: 0.0000000000, propagate_forward_time: 7.7206630707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6526889801
validation[          , genome  4474] predictions:    9685/  10000 (96.85%), best:    9732/10000 (97.32%), error:      1055.60474, best error:       908.17792 on epoch:    40, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 117.0541534424s, input_fired_time: 1.2637242079, output_fired_time: 1.3309602737, propagate_forward_time: 44.1450729370, propagate_backward_time: 66.9700546265, weight_update_time: 0.1077570394, other_time: 3.3443374634
epoch time: 9.1557779312s, input_fired_time: 0.1267888695, output_fired_time: 0.0000000000, propagate_forward_time: 8.3586721420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6703166962
validation[          , genome  4474] predictions:    9725/  10000 (97.25%), best:    9732/10000 (97.32%), error:       929.10596, best error:       908.17792 on epoch:    40, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

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_44_4474.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4474_1_r1897145878_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: 0.981482
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000217307
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.69229e-06
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: 79
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 9732
read best_validation_error: 908.178
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: 4474
read normal distribution: '1 0 0'
generator_str: '1235144091'
read generator: 1235144091
read generated_by_map:
1 enable_node 1
reading 20 nodes.
reading 38 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: 136.502044677734s, input_fired_time: 1.36890840530396, output_fired_time: 1.05117928981781, propagate_forward_time: 50.6492576599121, propagate_backward_time: 80.3357009887695, weight_update_time: 0.142502248287201, other_time: 3.09699249267578
epoch time: 8.665771484375s, input_fired_time: 0.153120368719101, output_fired_time: 0, propagate_forward_time: 7.92393779754639, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.588713645935059
validation[          , genome  4474] predictions:    9727/  10000 (97.27%), best:    9732/10000 (97.32%), error:       947.96637, best error:       908.17792 on epoch:    40, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 108.6072006226s, input_fired_time: 1.1596142054, output_fired_time: 0.9792560935, propagate_forward_time: 40.1581764221, propagate_backward_time: 63.5673675537, weight_update_time: 0.1202026755, other_time: 2.7427825928
epoch time: 9.6053953171s, input_fired_time: 0.1397604644, output_fired_time: 0.0000000000, propagate_forward_time: 8.9995746613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4660606384
validation[          , genome  4474] predictions:    9689/  10000 (96.89%), best:    9732/10000 (97.32%), error:      1011.21545, best error:       908.17792 on epoch:    40, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 111.7005691528s, input_fired_time: 1.2961133718, output_fired_time: 1.0568399429, propagate_forward_time: 41.3988685608, propagate_backward_time: 65.1256484985, weight_update_time: 0.1684154272, other_time: 2.8230972290
epoch time: 9.4699077606s, input_fired_time: 0.1455451548, output_fired_time: 0.0000000000, propagate_forward_time: 8.7850971222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5392656326
validation[          , genome  4474] predictions:    9720/  10000 (97.20%), best:    9732/10000 (97.32%), error:       961.67078, best error:       908.17792 on epoch:    40, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 114.2756576538s, input_fired_time: 1.2997448444, output_fired_time: 1.0607130527, propagate_forward_time: 42.5262107849, propagate_backward_time: 66.3092117310, weight_update_time: 0.2024207562, other_time: 3.0797805786
epoch time: 8.8459405899s, input_fired_time: 0.1783096641, output_fired_time: 0.0000000000, propagate_forward_time: 8.1276578903, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5399732590
validation[          , genome  4474] predictions:    9710/  10000 (97.10%), best:    9732/10000 (97.32%), error:       986.58911, best error:       908.17792 on epoch:    40, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 115.9633941650s, input_fired_time: 1.2129799128, output_fired_time: 1.0034910440, propagate_forward_time: 43.0893325806, propagate_backward_time: 67.7454071045, weight_update_time: 0.1242285669, other_time: 2.9121780396
epoch time: 9.0460119247s, input_fired_time: 0.1610518992, output_fired_time: 0.0000000000, propagate_forward_time: 8.3155984879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5693616867
validation[          , genome  4474] predictions:    9678/  10000 (96.78%), best:    9732/10000 (97.32%), error:      1125.72461, best error:       908.17792 on epoch:    40, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 114.6780624390s, input_fired_time: 1.3902908564, output_fired_time: 1.0129114389, propagate_forward_time: 42.7855873108, propagate_backward_time: 66.5482254028, weight_update_time: 0.1853919327, other_time: 2.9410476685
epoch time: 9.2320852280s, input_fired_time: 0.1439998895, output_fired_time: 0.0000000000, propagate_forward_time: 8.5983228683, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4897623062
validation[          , genome  4474] predictions:    9735/  10000 (97.35%), best:    9732/10000 (97.32%), error:       911.41327, best error:       908.17792 on epoch:    40, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 115.1047286987s, input_fired_time: 1.2403889894, output_fired_time: 1.1495931149, propagate_forward_time: 42.5930671692, propagate_backward_time: 67.0654830933, weight_update_time: 0.1397958100, other_time: 3.0562057495
epoch time: 8.8772020340s, input_fired_time: 0.1450336576, output_fired_time: 0.0000000000, propagate_forward_time: 8.2450447083, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4871234894
validation[          , genome  4474] predictions:    9703/  10000 (97.03%), best:    9732/10000 (97.32%), error:       992.43317, best error:       908.17792 on epoch:    40, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 111.6645889282s, input_fired_time: 1.3074640036, output_fired_time: 1.0074508190, propagate_forward_time: 41.5948486328, propagate_backward_time: 64.9399414063, weight_update_time: 0.1267451197, other_time: 2.8148803711
epoch time: 9.1068611145s, input_fired_time: 0.1438509226, output_fired_time: 0.0000000000, propagate_forward_time: 8.4785823822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4844274521
validation[          , genome  4474] predictions:    9698/  10000 (96.98%), best:    9732/10000 (97.32%), error:      1008.79700, best error:       908.17792 on epoch:    40, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 115.6897888184s, input_fired_time: 1.2770322561, output_fired_time: 1.1845159531, propagate_forward_time: 42.9674568176, propagate_backward_time: 67.3341369629, weight_update_time: 0.1242792681, other_time: 2.9266510010
epoch time: 8.3128499985s, input_fired_time: 0.1395495087, output_fired_time: 0.0000000000, propagate_forward_time: 7.7047019005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4685988426
validation[          , genome  4474] predictions:    9702/  10000 (97.02%), best:    9732/10000 (97.32%), error:       975.78003, best error:       908.17792 on epoch:    40, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 110.9467620850s, input_fired_time: 1.3101090193, output_fired_time: 1.0695279837, propagate_forward_time: 40.9397544861, propagate_backward_time: 64.6796112061, weight_update_time: 0.1684607565, other_time: 2.9477539063
epoch time: 8.7693061829s, input_fired_time: 0.1961998343, output_fired_time: 0.0000000000, propagate_forward_time: 8.1284904480, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4446163177
validation[          , genome  4474] predictions:    9704/  10000 (97.04%), best:    9732/10000 (97.32%), error:      1038.79858, best error:       908.17792 on epoch:    40, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 106.0131988525s, input_fired_time: 1.1042329073, output_fired_time: 0.9885263443, propagate_forward_time: 39.3929443359, propagate_backward_time: 61.8478927612, weight_update_time: 0.1192544401, other_time: 2.6796035767
epoch time: 8.1330881119s, input_fired_time: 0.2739102542, output_fired_time: 0.0000000000, propagate_forward_time: 7.4161338806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4430441856
validation[          , genome  4474] predictions:    9703/  10000 (97.03%), best:    9732/10000 (97.32%), error:      1047.17126, best error:       908.17792 on epoch:    40, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 104.5037612915s, input_fired_time: 1.3196566105, output_fired_time: 0.9628028870, propagate_forward_time: 38.5199890137, propagate_backward_time: 60.9781036377, weight_update_time: 0.1652734578, other_time: 2.7232055664
epoch time: 8.4760990143s, input_fired_time: 0.1357938945, output_fired_time: 0.0000000000, propagate_forward_time: 7.8893737793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4509315491
validation[          , genome  4474] predictions:    9671/  10000 (96.71%), best:    9732/10000 (97.32%), error:      1096.14465, best error:       908.17792 on epoch:    40, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 103.7369918823s, input_fired_time: 1.2344492674, output_fired_time: 0.9059997797, propagate_forward_time: 38.5311431885, propagate_backward_time: 60.4700660706, weight_update_time: 0.1173098534, other_time: 2.5953330994
epoch time: 8.5989837646s, input_fired_time: 0.1642668098, output_fired_time: 0.0000000000, propagate_forward_time: 7.8076162338, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6271009445
validation[          , genome  4474] predictions:    9643/  10000 (96.43%), best:    9732/10000 (97.32%), error:      1211.44177, best error:       908.17792 on epoch:    40, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 139.1296081543s, input_fired_time: 1.4808470011, output_fired_time: 1.4202556610, propagate_forward_time: 52.8881492615, propagate_backward_time: 79.7990417480, weight_update_time: 0.1735131741, other_time: 3.5413055420
epoch time: 14.4229421616s, input_fired_time: 0.1864363253, output_fired_time: 0.0000000000, propagate_forward_time: 13.2026348114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0338706970
validation[          , genome  4474] predictions:    9697/  10000 (96.97%), best:    9732/10000 (97.32%), error:      1001.86420, best error:       908.17792 on epoch:    40, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 174.5237426758s, input_fired_time: 1.8243516684, output_fired_time: 1.7168475389, propagate_forward_time: 66.7544403076, propagate_backward_time: 100.3591156006, weight_update_time: 0.3859545290, other_time: 3.8689880371
epoch time: 13.3246994019s, input_fired_time: 0.4514074624, output_fired_time: 0.0000000000, propagate_forward_time: 12.0429687500, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8303232193
validation[          , genome  4474] predictions:    9703/  10000 (97.03%), best:    9732/10000 (97.32%), error:       985.79498, best error:       908.17792 on epoch:    40, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 170.6024322510s, input_fired_time: 2.1063969135, output_fired_time: 1.7809329033, propagate_forward_time: 62.1484565735, propagate_backward_time: 99.9309082031, weight_update_time: 0.3860032260, other_time: 4.6357421875
epoch time: 13.0544786453s, input_fired_time: 0.1549420804, output_fired_time: 0.0000000000, propagate_forward_time: 12.1306886673, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7688474655
validation[          , genome  4474] predictions:    9696/  10000 (96.96%), best:    9732/10000 (97.32%), error:      1053.29724, best error:       908.17792 on epoch:    40, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 168.0745086670s, input_fired_time: 2.1537401676, output_fired_time: 1.7017185688, propagate_forward_time: 62.6910629272, propagate_backward_time: 97.3483886719, weight_update_time: 0.1358700991, other_time: 4.1795883179
epoch time: 13.5948648453s, input_fired_time: 0.4057949483, output_fired_time: 0.0000000000, propagate_forward_time: 11.9192552567, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2698144913
validation[          , genome  4474] predictions:    9679/  10000 (96.79%), best:    9732/10000 (97.32%), error:      1065.49597, best error:       908.17792 on epoch:    40, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 176.2164154053s, input_fired_time: 1.9637930393, output_fired_time: 1.4984631538, propagate_forward_time: 68.6841049194, propagate_backward_time: 100.5850830078, weight_update_time: 0.1365320832, other_time: 3.4849777222
epoch time: 15.7343969345s, input_fired_time: 0.1866836548, output_fired_time: 0.0000000000, propagate_forward_time: 14.6073427200, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9403705597
validation[          , genome  4474] predictions:    9716/  10000 (97.16%), best:    9732/10000 (97.32%), error:       988.60913, best error:       908.17792 on epoch:    40, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 176.5977630615s, input_fired_time: 2.3584015369, output_fired_time: 1.3493553400, propagate_forward_time: 70.3765945435, propagate_backward_time: 99.3833694458, weight_update_time: 0.1359684020, other_time: 3.1300506592
epoch time: 8.7346563339s, input_fired_time: 0.1426353753, output_fired_time: 0.0000000000, propagate_forward_time: 8.1201944351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4718265533
validation[          , genome  4474] predictions:    9717/  10000 (97.17%), best:    9732/10000 (97.32%), error:       980.92670, best error:       908.17792 on epoch:    40, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 107.8721847534s, input_fired_time: 1.1268335581, output_fired_time: 1.0374861956, propagate_forward_time: 40.3986434937, propagate_backward_time: 62.6756820679, weight_update_time: 0.1220397502, other_time: 2.6335449219
epoch time: 8.4281139374s, input_fired_time: 0.1432912350, output_fired_time: 0.0000000000, propagate_forward_time: 7.8120498657, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4727725983
validation[          , genome  4474] predictions:    9675/  10000 (96.75%), best:    9732/10000 (97.32%), error:      1064.25696, best error:       908.17792 on epoch:    40, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 106.4871902466s, input_fired_time: 1.1750130653, output_fired_time: 0.9810516238, propagate_forward_time: 39.3499717712, propagate_backward_time: 62.2202796936, weight_update_time: 0.1380877197, other_time: 2.7608757019
epoch time: 9.2729415894s, input_fired_time: 0.1581155062, output_fired_time: 0.0000000000, propagate_forward_time: 8.5965242386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5183019638
validation[          , genome  4474] predictions:    9715/  10000 (97.15%), best:    9732/10000 (97.32%), error:       967.73273, best error:       908.17792 on epoch:    40, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 105.7138824463s, input_fired_time: 1.1593725681, output_fired_time: 0.9634308815, propagate_forward_time: 39.3893966675, propagate_backward_time: 61.5602188110, weight_update_time: 0.1223106086, other_time: 2.6414642334
epoch time: 8.1127414703s, input_fired_time: 0.1399232447, output_fired_time: 0.0000000000, propagate_forward_time: 7.5112709999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4615473747
validation[          , genome  4474] predictions:    9692/  10000 (96.92%), best:    9732/10000 (97.32%), error:      1027.61267, best error:       908.17792 on epoch:    40, 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: 42.3857994080s, input_fired_time: 0.7402524948, output_fired_time: 0.0000000000, propagate_forward_time: 39.0930252075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5525207520
best training[          , genome  4474] predictions:   49231/  50000 (98.46%), best:    9732/10000 (97.32%), error:      2735.92676, best error:       908.17792 on epoch:    40, 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: 7.6911129951s, input_fired_time: 0.1301914454, output_fired_time: 0.0000000000, propagate_forward_time: 7.1105461121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4503755569
   testing[          , genome  4474] predictions:    9748/  10000 (97.48%), best:    9732/10000 (97.32%), error:       831.54010, best error:       908.17792 on epoch:    40, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:24:35 (11200): called boinc_finish(0)

</stderr_txt>
]]>