Nameexact_genome_1512568488_43_6613_1
Workunit2604359
Created7 Dec 2017, 20:54:53 UTC
Sent7 Dec 2017, 21:02:32 UTC
Report deadline14 Dec 2017, 20:59:18 UTC
Received8 Dec 2017, 10:50:03 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID67784
Run time2 hours 1 min 35 sec
CPU time1 hours 55 min 35 sec
Validate stateValid
Credit1,749.44
Device peak FLOPS4.77 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size154.20 MB
Peak swap size157.40 MB
Peak disk usage1.80 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
0391120911, propagate_backward_time: 46.2781715393, weight_update_time: 0.1007999703, other_time: 1.6584167480
epoch time: 6.1295847893s, input_fired_time: 0.0795862973, output_fired_time: 0.0000000000, propagate_forward_time: 5.7745680809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2754302025
validation[          , genome  6613] predictions:    9702/  10000 (97.02%), best:    9717/10000 (97.17%), error:      1016.46057, best error:       894.31610 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 82.2733764648s, input_fired_time: 0.6849242449, output_fired_time: 0.6345945001, propagate_forward_time: 27.7612991333, propagate_backward_time: 51.5783767700, weight_update_time: 0.0969751552, other_time: 1.6141815186
epoch time: 6.3142948151s, input_fired_time: 0.0823809579, output_fired_time: 0.0000000000, propagate_forward_time: 5.9468216896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2850923538
validation[          , genome  6613] predictions:    9714/  10000 (97.14%), best:    9717/10000 (97.17%), error:       947.15576, best error:       894.31610 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 84.4835357666s, input_fired_time: 0.7226398587, output_fired_time: 0.6531848311, propagate_forward_time: 31.3008518219, propagate_backward_time: 50.1149749756, weight_update_time: 0.1001080424, other_time: 1.6918869019
epoch time: 6.2812151909s, input_fired_time: 0.0791468620, output_fired_time: 0.0000000000, propagate_forward_time: 5.9283466339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2737216949
validation[          , genome  6613] predictions:    9730/  10000 (97.30%), best:    9730/10000 (97.30%), error:       887.67004, best error:       887.67004 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 82.9682464600s, input_fired_time: 0.7322053313, output_fired_time: 0.6367748380, propagate_forward_time: 31.9732151031, propagate_backward_time: 47.9062461853, weight_update_time: 0.0996767581, other_time: 1.7198066711
epoch time: 6.4132566452s, input_fired_time: 0.0959007218, output_fired_time: 0.0000000000, propagate_forward_time: 6.0121722221, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3051838875
validation[          , genome  6613] predictions:    9733/  10000 (97.33%), best:    9730/10000 (97.30%), error:       895.61774, best error:       887.67004 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 85.4337997437s, input_fired_time: 0.7176001072, output_fired_time: 0.6608117223, propagate_forward_time: 35.7400665283, propagate_backward_time: 46.5793113708, weight_update_time: 0.1002722308, other_time: 1.7360115051
epoch time: 6.2611770630s, input_fired_time: 0.0802213252, output_fired_time: 0.0000000000, propagate_forward_time: 5.8968739510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2840819359
validation[          , genome  6613] predictions:    9742/  10000 (97.42%), best:    9730/10000 (97.30%), error:       928.80188, best error:       887.67004 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 83.1899795532s, input_fired_time: 1.7249875069, output_fired_time: 0.6470266581, propagate_forward_time: 29.9507083893, propagate_backward_time: 47.1535720825, weight_update_time: 0.1018918306, other_time: 3.7136840820
epoch time: 6.2700605392s, input_fired_time: 0.0823903978, output_fired_time: 0.0000000000, propagate_forward_time: 5.8779726028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3096976280
validation[          , genome  6613] predictions:    9750/  10000 (97.50%), best:    9750/10000 (97.50%), error:       833.78424, best error:       833.78424 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 81.7355041504s, input_fired_time: 0.6992330551, output_fired_time: 0.6280305982, propagate_forward_time: 29.3910999298, propagate_backward_time: 49.3634872437, weight_update_time: 0.0994374231, other_time: 1.6536560059
epoch time: 6.2086009979s, input_fired_time: 1.0146411657, output_fired_time: 0.0000000000, propagate_forward_time: 4.9144711494, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2794885635
validation[          , genome  6613] predictions:    9741/  10000 (97.41%), best:    9741/10000 (97.41%), error:       825.27417, best error:       825.27417 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 81.1138610840s, input_fired_time: 0.6990047097, output_fired_time: 0.6279888749, propagate_forward_time: 30.6249504089, propagate_backward_time: 47.5237808228, weight_update_time: 0.0980063751, other_time: 1.6381340027
epoch time: 6.2988567352s, input_fired_time: 0.0870050415, output_fired_time: 0.0000000000, propagate_forward_time: 5.9105076790, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3013439178
validation[          , genome  6613] predictions:    9742/  10000 (97.42%), best:    9741/10000 (97.41%), error:       854.25354, best error:       825.27417 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 82.2852554321s, input_fired_time: 0.6859487295, output_fired_time: 0.6396004558, propagate_forward_time: 32.5711593628, propagate_backward_time: 46.7168083191, weight_update_time: 0.1099270508, other_time: 1.6717338562
epoch time: 6.1555557251s, input_fired_time: 0.0851906165, output_fired_time: 0.0000000000, propagate_forward_time: 5.7850928307, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2852721214
validation[          , genome  6613] predictions:    9728/  10000 (97.28%), best:    9741/10000 (97.41%), error:       923.14258, best error:       825.27417 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 82.7888641357s, input_fired_time: 0.7001030445, output_fired_time: 1.7064826488, propagate_forward_time: 29.5731639862, propagate_backward_time: 48.1073379517, weight_update_time: 0.1003121063, other_time: 2.7017745972
epoch time: 6.2604103088s, input_fired_time: 0.0878483579, output_fired_time: 0.0000000000, propagate_forward_time: 5.8892412186, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2833209038
validation[          , genome  6613] predictions:    9728/  10000 (97.28%), best:    9741/10000 (97.41%), error:       903.17474, best error:       825.27417 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 81.4800033569s, input_fired_time: 0.6861881614, output_fired_time: 0.6236761212, propagate_forward_time: 32.6548233032, propagate_backward_time: 44.8240203857, weight_update_time: 0.0955968052, other_time: 2.6912994385
epoch time: 7.3949370384s, input_fired_time: 0.0835179836, output_fired_time: 0.0000000000, propagate_forward_time: 6.9982781410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3131408691
validation[          , genome  6613] predictions:    9677/  10000 (96.77%), best:    9741/10000 (97.41%), error:      1025.84424, best error:       825.27417 on epoch:    45, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 82.4841461182s, input_fired_time: 0.7114169598, output_fired_time: 0.6366146803, propagate_forward_time: 28.0600738525, propagate_backward_time: 51.4235420227, weight_update_time: 0.0974783078, other_time: 1.6525001526
epoch time: 7.4510445595s, input_fired_time: 0.0807873234, output_fired_time: 0.0000000000, propagate_forward_time: 7.0665726662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3036847115
validation[          , genome  6613] predictions:    9715/  10000 (97.15%), best:    9741/10000 (97.41%), error:       907.11926, best error:       825.27417 on epoch:    45, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 80.6584014893s, input_fired_time: 0.7039933205, output_fired_time: 0.6303784847, propagate_forward_time: 28.3255844116, propagate_backward_time: 49.3579597473, weight_update_time: 0.1007492691, other_time: 1.6404838562
epoch time: 6.3855834007s, input_fired_time: 0.0901512802, output_fired_time: 0.0000000000, propagate_forward_time: 5.9963026047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2991294861
validation[          , genome  6613] predictions:    9674/  10000 (96.74%), best:    9741/10000 (97.41%), error:      1041.46985, best error:       825.27417 on epoch:    45, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 81.0671768188s, input_fired_time: 0.6865133047, output_fired_time: 1.5629866123, propagate_forward_time: 28.6405334473, propagate_backward_time: 47.4765319824, weight_update_time: 0.1001605242, other_time: 2.7006072998
epoch time: 7.2411403656s, input_fired_time: 0.0818753019, output_fired_time: 0.0000000000, propagate_forward_time: 5.8490495682, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3102154732
validation[          , genome  6613] predictions:    9715/  10000 (97.15%), best:    9741/10000 (97.41%), error:       995.77264, best error:       825.27417 on epoch:    45, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 83.9939880371s, input_fired_time: 0.6957335472, output_fired_time: 0.6509395242, propagate_forward_time: 30.3512649536, propagate_backward_time: 49.5712738037, weight_update_time: 1.1316019297, other_time: 2.7247772217
epoch time: 6.6692442894s, input_fired_time: 0.1056306437, output_fired_time: 0.0000000000, propagate_forward_time: 6.2568225861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3067908287
validation[          , genome  6613] predictions:    9723/  10000 (97.23%), best:    9741/10000 (97.41%), error:       881.40729, best error:       825.27417 on epoch:    45, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 80.6610565186s, input_fired_time: 1.7116303444, output_fired_time: 0.6584547758, propagate_forward_time: 29.9931411743, propagate_backward_time: 46.6406860352, weight_update_time: 0.0957464203, other_time: 1.6571426392
epoch time: 6.2764444351s, input_fired_time: 0.0822385326, output_fired_time: 0.0000000000, propagate_forward_time: 5.9104933739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2837123871
validation[          , genome  6613] predictions:    9719/  10000 (97.19%), best:    9741/10000 (97.41%), error:       949.56104, best error:       825.27417 on epoch:    45, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 81.6396408081s, input_fired_time: 0.6868204474, output_fired_time: 0.6450545192, propagate_forward_time: 33.0868492126, propagate_backward_time: 44.4920349121, weight_update_time: 0.0944905952, other_time: 2.7288780212
epoch time: 6.4270849228s, input_fired_time: 0.0845018029, output_fired_time: 0.0000000000, propagate_forward_time: 6.0407385826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3018445969
validation[          , genome  6613] predictions:    9742/  10000 (97.42%), best:    9741/10000 (97.41%), error:       857.60840, best error:       825.27417 on epoch:    45, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 83.9707717896s, input_fired_time: 1.7111774683, output_fired_time: 0.6767558455, propagate_forward_time: 32.2352867126, propagate_backward_time: 47.6564445496, weight_update_time: 0.0970782638, other_time: 1.6911087036
epoch time: 6.8439016342s, input_fired_time: 0.0838945359, output_fired_time: 0.0000000000, propagate_forward_time: 5.3835229874, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3764839172
validation[          , genome  6613] predictions:    9713/  10000 (97.13%), best:    9741/10000 (97.41%), error:       907.34137, best error:       825.27417 on epoch:    45, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 82.1166381836s, input_fired_time: 0.6855066419, output_fired_time: 0.6400929689, propagate_forward_time: 28.4448356628, propagate_backward_time: 49.6032524109, weight_update_time: 0.1013859138, other_time: 2.7429504395
epoch time: 6.3884859085s, input_fired_time: 0.0918036029, output_fired_time: 0.0000000000, propagate_forward_time: 6.0109877586, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2856945992
validation[          , genome  6613] predictions:    9711/  10000 (97.11%), best:    9741/10000 (97.41%), error:       920.59503, best error:       825.27417 on epoch:    45, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 81.9190292358s, input_fired_time: 0.6980513930, output_fired_time: 0.6300929189, propagate_forward_time: 32.7118301392, propagate_backward_time: 45.1621055603, weight_update_time: 0.0970048159, other_time: 2.7169456482
epoch time: 7.1961927414s, input_fired_time: 0.0864046216, output_fired_time: 0.0000000000, propagate_forward_time: 6.8144202232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2953677177
validation[          , genome  6613] predictions:    9691/  10000 (96.91%), best:    9741/10000 (97.41%), error:      1032.00537, best error:       825.27417 on epoch:    45, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 81.7321395874s, input_fired_time: 0.6895124316, output_fired_time: 0.6362874508, propagate_forward_time: 26.8100090027, propagate_backward_time: 51.0282363892, weight_update_time: 0.0961653441, other_time: 2.5680961609
epoch time: 7.5409898758s, input_fired_time: 0.0857540891, output_fired_time: 0.0000000000, propagate_forward_time: 7.1530175209, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3022184372
validation[          , genome  6613] predictions:    9725/  10000 (97.25%), best:    9741/10000 (97.41%), error:       850.24915, best error:       825.27417 on epoch:    45, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 81.4681472778s, input_fired_time: 0.7196669579, output_fired_time: 1.6727651358, propagate_forward_time: 32.6073188782, propagate_backward_time: 44.8259391785, weight_update_time: 0.0968776345, other_time: 1.6424560547
epoch time: 6.3554573059s, input_fired_time: 0.0814240053, output_fired_time: 0.0000000000, propagate_forward_time: 5.9962410927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2777919769
validation[          , genome  6613] predictions:    9724/  10000 (97.24%), best:    9741/10000 (97.41%), error:       870.76001, best error:       825.27417 on epoch:    45, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 82.8926620483s, input_fired_time: 0.7127478123, output_fired_time: 0.6581287980, propagate_forward_time: 29.8012943268, propagate_backward_time: 50.0181655884, weight_update_time: 0.1037204713, other_time: 1.7023315430
epoch time: 6.2341556549s, input_fired_time: 0.0803033337, output_fired_time: 0.0000000000, propagate_forward_time: 5.8764443398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2774081230
validation[          , genome  6613] predictions:    9698/  10000 (96.98%), best:    9741/10000 (97.41%), error:       973.10712, best error:       825.27417 on epoch:    45, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 79.7832794189s, input_fired_time: 0.7169736028, output_fired_time: 0.6238436103, propagate_forward_time: 32.8346481323, propagate_backward_time: 43.9807052612, weight_update_time: 0.1056074202, other_time: 1.6271133423
epoch time: 6.3701305389s, input_fired_time: 0.0884299353, output_fired_time: 0.0000000000, propagate_forward_time: 5.9983606339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2833399773
validation[          , genome  6613] predictions:    9746/  10000 (97.46%), best:    9746/10000 (97.46%), error:       812.49023, best error:       812.49023 on epoch:    62, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 85.1133499146s, input_fired_time: 0.7483640313, output_fired_time: 1.7441430092, propagate_forward_time: 29.4038238525, propagate_backward_time: 50.4441757202, weight_update_time: 0.0952920541, other_time: 2.7728424072
epoch time: 7.4312429428s, input_fired_time: 0.0841275454, output_fired_time: 0.0000000000, propagate_forward_time: 7.0440125465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3031029701
validation[          , genome  6613] predictions:    9710/  10000 (97.10%), best:    9746/10000 (97.46%), error:       908.41730, best error:       812.49023 on epoch:    62, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 82.3854446411s, input_fired_time: 0.7343804836, output_fired_time: 1.6722402573, propagate_forward_time: 26.7305793762, propagate_backward_time: 51.5642967224, weight_update_time: 0.1040633023, other_time: 1.6839447021
epoch time: 7.3326525688s, input_fired_time: 0.0838975683, output_fired_time: 0.0000000000, propagate_forward_time: 6.9642577171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2844972610
validation[          , genome  6613] predictions:    9723/  10000 (97.23%), best:    9746/10000 (97.46%), error:       920.06567, best error:       812.49023 on epoch:    62, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 81.8617019653s, input_fired_time: 1.7218351364, output_fired_time: 0.6959144473, propagate_forward_time: 26.7192802429, propagate_backward_time: 51.0579032898, weight_update_time: 0.0972190425, other_time: 1.6667709351
epoch time: 7.0817909241s, input_fired_time: 0.0818811506, output_fired_time: 0.0000000000, propagate_forward_time: 5.7858119011, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2140979767
validation[          , genome  6613] predictions:    9716/  10000 (97.16%), best:    9746/10000 (97.46%), error:       881.18439, best error:       812.49023 on epoch:    62, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 81.5892868042s, input_fired_time: 0.7010898590, output_fired_time: 0.6360986233, propagate_forward_time: 27.6729621887, propagate_backward_time: 49.9234390259, weight_update_time: 0.0968823880, other_time: 2.6556968689
epoch time: 6.6881141663s, input_fired_time: 0.0811979249, output_fired_time: 0.0000000000, propagate_forward_time: 6.2805070877, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3264093399
validation[          , genome  6613] predictions:    9701/  10000 (97.01%), best:    9746/10000 (97.46%), error:       961.83569, best error:       812.49023 on epoch:    62, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 82.0864562988s, input_fired_time: 2.6434257030, output_fired_time: 0.6401551366, propagate_forward_time: 27.4755496979, propagate_backward_time: 49.7030754089, weight_update_time: 0.0950158015, other_time: 1.6242561340
epoch time: 6.2066507339s, input_fired_time: 0.0824682117, output_fired_time: 0.0000000000, propagate_forward_time: 5.8268356323, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2973470688
validation[          , genome  6613] predictions:    9695/  10000 (96.95%), best:    9746/10000 (97.46%), error:       976.27863, best error:       812.49023 on epoch:    62, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 82.9222640991s, input_fired_time: 0.6928703189, output_fired_time: 0.6580459476, propagate_forward_time: 28.7653980255, propagate_backward_time: 50.0593490601, weight_update_time: 0.1018063128, other_time: 2.7466049194
epoch time: 6.2840876579s, input_fired_time: 0.0815949738, output_fired_time: 0.0000000000, propagate_forward_time: 5.9231538773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2793388367
validation[          , genome  6613] predictions:    9631/  10000 (96.31%), best:    9746/10000 (97.46%), error:      1215.14441, best error:       812.49023 on epoch:    62, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

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_6613.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6613_1_r1895623538_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: 0.975773
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000362943
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.45177e-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: 69
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 62
read number_validation_images: 10000
read best_validation_predictions: 9746
read best_validation_error: 812.49
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: 6613
read normal distribution: '1 0.523564755916595 -1.17258536815643'
generator_str: '940283114'
read generator: 940283114
read generated_by_map:
1 split_edge 1
reading 21 nodes.
reading 46 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: 88.0259780883789s, input_fired_time: 0.737225115299225, output_fired_time: 0.70764684677124, propagate_forward_time: 35.2667121887207, propagate_backward_time: 49.5499000549316, weight_update_time: 0.106646917760372, other_time: 1.76448822021484
epoch time: 6.75971269607544s, input_fired_time: 0.0928118377923965, output_fired_time: 0, propagate_forward_time: 6.34261798858643, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.324282646179199
validation[          , genome  6613] predictions:    9763/  10000 (97.63%), best:    9763/10000 (97.63%), error:       792.16498, best error:       792.16498 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 93.4011459351s, input_fired_time: 1.8250595331, output_fired_time: 0.7116528153, propagate_forward_time: 34.9996757507, propagate_backward_time: 54.0431823730, weight_update_time: 0.1137788594, other_time: 1.8215751648
epoch time: 6.6243853569s, input_fired_time: 1.0035080910, output_fired_time: 0.0000000000, propagate_forward_time: 5.2765021324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3443751335
validation[          , genome  6613] predictions:    9638/  10000 (96.38%), best:    9763/10000 (97.63%), error:      1222.83789, best error:       792.16498 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 89.8886489868s, input_fired_time: 0.7407471538, output_fired_time: 0.7617731690, propagate_forward_time: 34.8458747864, propagate_backward_time: 51.5664062500, weight_update_time: 0.1285008490, other_time: 1.9738502502
epoch time: 7.9369907379s, input_fired_time: 0.0858834907, output_fired_time: 0.0000000000, propagate_forward_time: 7.5399236679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111834526
validation[          , genome  6613] predictions:    9738/  10000 (97.38%), best:    9763/10000 (97.63%), error:       848.12036, best error:       792.16498 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 89.8004760742s, input_fired_time: 0.7170180678, output_fired_time: 0.7202318311, propagate_forward_time: 34.1265907288, propagate_backward_time: 52.4237365723, weight_update_time: 0.1047529578, other_time: 1.8129005432
epoch time: 7.3448982239s, input_fired_time: 0.0945459753, output_fired_time: 0.0000000000, propagate_forward_time: 6.9353084564, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3150439262
validation[          , genome  6613] predictions:    9728/  10000 (97.28%), best:    9763/10000 (97.63%), error:       866.06958, best error:       792.16498 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 94.1568069458s, input_fired_time: 0.8012765646, output_fired_time: 0.6767203808, propagate_forward_time: 32.4888954163, propagate_backward_time: 58.3804397583, weight_update_time: 0.1042989194, other_time: 1.8094749451
epoch time: 7.5435452461s, input_fired_time: 0.0829511285, output_fired_time: 0.0000000000, propagate_forward_time: 6.1556682587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3049259186
validation[          , genome  6613] predictions:    9696/  10000 (96.96%), best:    9763/10000 (97.63%), error:       960.30652, best error:       792.16498 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

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_6613.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6613_1_r1895623538_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: 0.978991
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000280838
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.12335e-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: 74
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9763
read best_validation_error: 792.165
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: 6613
read normal distribution: '1 0.523564755916595 -1.17258536815643'
generator_str: '545910342'
read generator: 545910342
read generated_by_map:
1 split_edge 1
reading 21 nodes.
reading 46 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!
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_6613.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6613_1_r1895623538_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: 0.978991
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000280838
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.12335e-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: 74
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9763
read best_validation_error: 792.165
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: 6613
read normal distribution: '1 0.523564755916595 -1.17258536815643'
generator_str: '545910342'
read generator: 545910342
read generated_by_map:
1 split_edge 1
reading 21 nodes.
reading 46 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!
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_6613.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_43_6613_1_r1895623538_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: 0.978991
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000280838
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.12335e-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: 74
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 9763
read best_validation_error: 792.165
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: 6613
read normal distribution: '1 0.523564755916595 -1.17258536815643'
generator_str: '545910342'
read generator: 545910342
read generated_by_map:
1 split_edge 1
reading 21 nodes.
reading 46 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: 83.2723541259766s, input_fired_time: 0.711261749267578, output_fired_time: 0.65019279718399, propagate_forward_time: 31.4250068664551, propagate_backward_time: 48.7795639038086, weight_update_time: 0.0995670706033707, other_time: 1.70633316040039
epoch time: 6.44781303405762s, input_fired_time: 0.0816955640912056, output_fired_time: 0, propagate_forward_time: 6.07882356643677, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.287293910980225
validation[          , genome  6613] predictions:    9582/  10000 (95.82%), best:    9763/10000 (97.63%), error:      1339.51196, best error:       792.16498 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 84.2174682617s, input_fired_time: 0.7206008434, output_fired_time: 0.6634565592, propagate_forward_time: 32.1420822144, propagate_backward_time: 47.9581871033, weight_update_time: 0.1091958955, other_time: 2.7331352234
epoch time: 7.0520291328s, input_fired_time: 0.0841920599, output_fired_time: 0.0000000000, propagate_forward_time: 6.5966992378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3711376190
validation[          , genome  6613] predictions:    9732/  10000 (97.32%), best:    9763/10000 (97.63%), error:       871.13440, best error:       792.16498 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 84.6345520020s, input_fired_time: 0.7305082679, output_fired_time: 0.6582087874, propagate_forward_time: 31.3122940063, propagate_backward_time: 50.2193946838, weight_update_time: 0.1056068614, other_time: 1.7141456604
epoch time: 7.4234261513s, input_fired_time: 0.0842480212, output_fired_time: 0.0000000000, propagate_forward_time: 7.0268793106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3122987747
validation[          , genome  6613] predictions:    9584/  10000 (95.84%), best:    9763/10000 (97.63%), error:      1314.67993, best error:       792.16498 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 83.0700378418s, input_fired_time: 0.7184860706, output_fired_time: 0.6778739691, propagate_forward_time: 28.0494537354, propagate_backward_time: 51.9256477356, weight_update_time: 0.0993620008, other_time: 1.6985816956
epoch time: 7.2868795395s, input_fired_time: 0.0844325647, output_fired_time: 0.0000000000, propagate_forward_time: 6.9051923752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2972545624
validation[          , genome  6613] predictions:    9746/  10000 (97.46%), best:    9763/10000 (97.63%), error:       853.52856, best error:       792.16498 on epoch:    69, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 81.9222946167s, input_fired_time: 1.6224291325, output_fired_time: 1.6789176464, propagate_forward_time: 31.0302982330, propagate_backward_time: 43.8728027344, weight_update_time: 0.0987181291, other_time: 3.7178497314
epoch time: 7.3760890961s, input_fired_time: 0.0830890760, output_fired_time: 0.0000000000, propagate_forward_time: 5.9722599983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3207402229
validation[          , genome  6613] predictions:    9730/  10000 (97.30%), best:    9763/10000 (97.63%), error:       875.71832, best error:       792.16498 on epoch:    69, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 82.5231018066s, input_fired_time: 0.7221553922, output_fired_time: 0.6455681324, propagate_forward_time: 29.0788040161, propagate_backward_time: 49.3899421692, weight_update_time: 1.1390295029, other_time: 2.6866340637
epoch time: 7.4716143608s, input_fired_time: 0.0870884359, output_fired_time: 0.0000000000, propagate_forward_time: 7.0942139626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2903118134
validation[          , genome  6613] predictions:    9711/  10000 (97.11%), best:    9763/10000 (97.63%), error:       957.89209, best error:       792.16498 on epoch:    69, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 82.8972549438s, input_fired_time: 1.7409639359, output_fired_time: 0.6856907606, propagate_forward_time: 28.1806221008, propagate_backward_time: 50.5712471008, weight_update_time: 0.1017871574, other_time: 1.7187271118
epoch time: 7.4600434303s, input_fired_time: 0.0888244286, output_fired_time: 0.0000000000, propagate_forward_time: 7.0577421188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3134770393
validation[          , genome  6613] predictions:    9745/  10000 (97.45%), best:    9763/10000 (97.63%), error:       844.72784, best error:       792.16498 on epoch:    69, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 82.8781967163s, input_fired_time: 0.7388676405, output_fired_time: 0.6511964798, propagate_forward_time: 33.0506248474, propagate_backward_time: 46.6677093506, weight_update_time: 0.1219862849, other_time: 1.7697944641
epoch time: 6.6879110336s, input_fired_time: 0.0959885418, output_fired_time: 0.0000000000, propagate_forward_time: 6.2670373917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3248848915
validation[          , genome  6613] predictions:    9706/  10000 (97.06%), best:    9763/10000 (97.63%), error:       962.57483, best error:       792.16498 on epoch:    69, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 86.1142654419s, input_fired_time: 0.7232425213, output_fired_time: 0.6763817668, propagate_forward_time: 33.0551338196, propagate_backward_time: 49.9118957520, weight_update_time: 0.0975553468, other_time: 1.7476081848
epoch time: 7.7195272446s, input_fired_time: 0.0830087960, output_fired_time: 0.0000000000, propagate_forward_time: 7.3448214531, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2916970253
validation[          , genome  6613] predictions:    9732/  10000 (97.32%), best:    9763/10000 (97.63%), error:       877.10187, best error:       792.16498 on epoch:    69, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 82.9726867676s, input_fired_time: 1.7518500090, output_fired_time: 0.6607687473, propagate_forward_time: 35.0556564331, propagate_backward_time: 43.7965698242, weight_update_time: 0.0983175412, other_time: 1.7078475952
epoch time: 7.4836087227s, input_fired_time: 0.0888499543, output_fired_time: 0.0000000000, propagate_forward_time: 7.0835609436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3111977577
validation[          , genome  6613] predictions:    9412/  10000 (94.12%), best:    9763/10000 (97.63%), error:      1846.50671, best error:       792.16498 on epoch:    69, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 84.0360031128s, input_fired_time: 0.7222828269, output_fired_time: 0.6563185453, propagate_forward_time: 33.2578086853, propagate_backward_time: 47.7105751038, weight_update_time: 0.1000798568, other_time: 1.6890182495
epoch time: 6.3108129501s, input_fired_time: 0.0858187154, output_fired_time: 0.0000000000, propagate_forward_time: 5.9349989891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2899951935
validation[          , genome  6613] predictions:    9725/  10000 (97.25%), best:    9763/10000 (97.63%), error:       921.01587, best error:       792.16498 on epoch:    69, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 84.7328109741s, input_fired_time: 0.7548333406, output_fired_time: 0.6572726965, propagate_forward_time: 29.3929557800, propagate_backward_time: 49.2469291687, weight_update_time: 1.1411610842, other_time: 4.6808166504
epoch time: 6.3182702065s, input_fired_time: 0.0867534950, output_fired_time: 0.0000000000, propagate_forward_time: 5.9427180290, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2887988091
validation[          , genome  6613] predictions:    9733/  10000 (97.33%), best:    9763/10000 (97.63%), error:       831.79425, best error:       792.16498 on epoch:    69, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 84.1059722900s, input_fired_time: 0.7242734432, output_fired_time: 1.5824568272, propagate_forward_time: 28.0731334686, propagate_backward_time: 52.0683937073, weight_update_time: 0.0989993289, other_time: 1.6577110291
epoch time: 6.2497878075s, input_fired_time: 0.0834925026, output_fired_time: 0.0000000000, propagate_forward_time: 5.8833613396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2829341888
validation[          , genome  6613] predictions:    9742/  10000 (97.42%), best:    9763/10000 (97.63%), error:       851.23865, best error:       792.16498 on epoch:    69, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 85.1355895996s, input_fired_time: 0.7289606929, output_fired_time: 0.6597967744, propagate_forward_time: 30.5728988647, propagate_backward_time: 51.4863090515, weight_update_time: 0.0990875140, other_time: 1.6876258850
epoch time: 7.3927192688s, input_fired_time: 0.0829192996, output_fired_time: 0.0000000000, propagate_forward_time: 7.0334496498, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2763504982
validation[          , genome  6613] predictions:    9732/  10000 (97.32%), best:    9763/10000 (97.63%), error:       867.72418, best error:       792.16498 on epoch:    69, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 89.8503189087s, input_fired_time: 0.7621796727, output_fired_time: 0.7034572363, propagate_forward_time: 33.7413368225, propagate_backward_time: 51.9444465637, weight_update_time: 0.1082782745, other_time: 2.6988983154
epoch time: 6.6412229538s, input_fired_time: 0.0866872072, output_fired_time: 0.0000000000, propagate_forward_time: 6.2521419525, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3023939133
validation[          , genome  6613] predictions:    9750/  10000 (97.50%), best:    9763/10000 (97.63%), error:       829.14978, best error:       792.16498 on epoch:    69, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 83.1556625366s, input_fired_time: 0.7052167654, output_fired_time: 0.6453688741, propagate_forward_time: 32.8434829712, propagate_backward_time: 46.2745895386, weight_update_time: 0.1014796272, other_time: 2.6870040894
epoch time: 6.2993798256s, input_fired_time: 0.0863469988, output_fired_time: 0.0000000000, propagate_forward_time: 5.9322538376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2807788849
validation[          , genome  6613] predictions:    9741/  10000 (97.41%), best:    9763/10000 (97.63%), error:       842.68121, best error:       792.16498 on epoch:    69, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 82.6215438843s, input_fired_time: 1.7198966742, output_fired_time: 0.6345223188, propagate_forward_time: 28.4496421814, propagate_backward_time: 49.1678123474, weight_update_time: 0.0956453010, other_time: 2.6496734619
epoch time: 6.3634147644s, input_fired_time: 0.0843668729, output_fired_time: 0.0000000000, propagate_forward_time: 5.9739503860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3050975800
validation[          , genome  6613] predictions:    9758/  10000 (97.58%), best:    9758/10000 (97.58%), error:       775.34247, best error:       775.34247 on epoch:    90, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 81.3888397217s, input_fired_time: 0.6943548918, output_fired_time: 0.6334363818, propagate_forward_time: 30.4140129089, propagate_backward_time: 45.9478454590, weight_update_time: 0.0959048644, other_time: 3.6991920471
epoch time: 7.2594113350s, input_fired_time: 0.0828691646, output_fired_time: 0.0000000000, propagate_forward_time: 6.8956074715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2809348106
validation[          , genome  6613] predictions:    9749/  10000 (97.49%), best:    9758/10000 (97.58%), error:       848.84283, best error:       775.34247 on epoch:    90, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 81.5910186768s, input_fired_time: 1.6466162205, output_fired_time: 0.6444411278, propagate_forward_time: 30.7336082458, propagate_backward_time: 46.9535293579, weight_update_time: 0.1039453894, other_time: 1.6128273010
epoch time: 6.1635465622s, input_fired_time: 0.0831772014, output_fired_time: 0.0000000000, propagate_forward_time: 5.8002457619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2801237106
validation[          , genome  6613] predictions:    9726/  10000 (97.26%), best:    9758/10000 (97.58%), error:       944.40552, best error:       775.34247 on epoch:    90, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 82.9028167725s, input_fired_time: 0.7163323164, output_fired_time: 0.6366576552, propagate_forward_time: 30.7000141144, propagate_backward_time: 48.1853103638, weight_update_time: 0.0931162983, other_time: 2.6645050049
epoch time: 6.3527269363s, input_fired_time: 0.0846757963, output_fired_time: 0.0000000000, propagate_forward_time: 5.9809141159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2871370316
validation[          , genome  6613] predictions:    9751/  10000 (97.51%), best:    9758/10000 (97.58%), error:       810.26172, best error:       775.34247 on epoch:    90, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 80.2264404297s, input_fired_time: 1.7453701496, output_fired_time: 0.6335956454, propagate_forward_time: 27.6145172119, propagate_backward_time: 48.6262741089, weight_update_time: 0.1046011224, other_time: 1.6066818237
epoch time: 7.3545646667s, input_fired_time: 0.0846381336, output_fired_time: 0.0000000000, propagate_forward_time: 6.9842677116, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2856588364
validation[          , genome  6613] predictions:    9709/  10000 (97.09%), best:    9758/10000 (97.58%), error:       903.28571, best error:       775.34247 on epoch:    90, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 82.2438507080s, input_fired_time: 0.7108109593, output_fired_time: 0.6476078629, propagate_forward_time: 30.2321662903, propagate_backward_time: 48.9765968323, weight_update_time: 0.0959821790, other_time: 1.6766738892
epoch time: 6.3309230804s, input_fired_time: 0.0849281773, output_fired_time: 0.0000000000, propagate_forward_time: 4.9387288094, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3072662354
validation[          , genome  6613] predictions:    9755/  10000 (97.55%), best:    9758/10000 (97.58%), error:       821.47241, best error:       775.34247 on epoch:    90, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 81.4731140137s, input_fired_time: 0.6990217566, output_fired_time: 0.6516284347, propagate_forward_time: 31.0359649658, propagate_backward_time: 46.3962097168, weight_update_time: 0.0992226750, other_time: 2.6902923584
epoch time: 6.2725462914s, input_fired_time: 0.0863824859, output_fired_time: 0.0000000000, propagate_forward_time: 5.9027810097, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2833828926
validation[          , genome  6613] predictions:    9696/  10000 (96.96%), best:    9758/10000 (97.58%), error:       980.52667, best error:       775.34247 on epoch:    90, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 81.3192291260s, input_fired_time: 0.6937202215, output_fired_time: 1.5780773163, propagate_forward_time: 30.9300651550, propagate_backward_time: 46.4585685730, weight_update_time: 0.1038862392, other_time: 1.6587982178
epoch time: 7.3837666512s, input_fired_time: 0.0849298984, output_fired_time: 0.0000000000, propagate_forward_time: 7.0198035240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2790331841
validation[          , genome  6613] predictions:    9732/  10000 (97.32%), best:    9758/10000 (97.58%), error:       855.04590, best error:       775.34247 on epoch:    90, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 81.6777191162s, input_fired_time: 0.6992912889, output_fired_time: 0.6440997124, propagate_forward_time: 29.8231163025, propagate_backward_time: 47.7842330933, weight_update_time: 0.0998033509, other_time: 2.7269783020
epoch time: 5.7458429337s, input_fired_time: 0.0897490010, output_fired_time: 0.0000000000, propagate_forward_time: 5.3782987595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2777953148
validation[          , genome  6613] predictions:    9745/  10000 (97.45%), best:    9758/10000 (97.58%), error:       843.61017, best error:       775.34247 on epoch:    90, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 84.0251617432s, input_fired_time: 1.6310498714, output_fired_time: 0.6636985540, propagate_forward_time: 29.3623332977, propagate_backward_time: 50.6702232361, weight_update_time: 0.0961173922, other_time: 1.6978569031
epoch time: 6.5145969391s, input_fired_time: 0.0847894251, output_fired_time: 0.0000000000, propagate_forward_time: 6.1355428696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2942647934
validation[          , genome  6613] predictions:    9724/  10000 (97.24%), best:    9758/10000 (97.58%), error:       879.82947, best error:       775.34247 on epoch:    90, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 85.3001708984s, input_fired_time: 1.0716127157, output_fired_time: 0.7119837403, propagate_forward_time: 35.7543373108, propagate_backward_time: 46.0505752563, weight_update_time: 0.1013587937, other_time: 1.7116661072
epoch time: 6.6524357796s, input_fired_time: 0.0818991736, output_fired_time: 0.0000000000, propagate_forward_time: 6.2991490364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.2713875771
validation[          , genome  6613] predictions:    9697/  10000 (96.97%), best:    9758/10000 (97.58%), error:       958.10699, best error:       775.34247 on epoch:    90, 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: 32.8864402771s, input_fired_time: 0.4303472340, output_fired_time: 0.0000000000, propagate_forward_time: 29.9357967377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5202960968
best training[          , genome  6613] predictions:   49521/  50000 (99.04%), best:    9758/10000 (97.58%), error:      1880.09509, best error:       775.34247 on epoch:    90, 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: 7.4022130966s, input_fired_time: 0.0886249617, output_fired_time: 0.0000000000, propagate_forward_time: 7.0052700043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3083181381
   testing[          , genome  6613] predictions:    9773/  10000 (97.73%), best:    9758/10000 (97.58%), error:       783.44250, best error:       775.34247 on epoch:    90, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
18:17:32 (15252): called boinc_finish(0)

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