Nameexact_genome_1518178202_49_18314_1
Workunit2991528
Created9 Feb 2018, 12:31:47 UTC
Sent9 Feb 2018, 13:01:48 UTC
Report deadline8 Apr 2018, 19:02:24 UTC
Received11 Feb 2018, 18:13:29 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID57657
Run time1 days 14 hours 25 min 49 sec
CPU time1 days 8 hours 53 min 10 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS3.20 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size184.05 MB
Peak swap size189.05 MB
Peak disk usage9.03 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
0.0000676379

epoch time: 1007.8881835938s, input_fired_time: 13.5460500717, output_fired_time: 11.4935722351, propagate_forward_time: 403.7925109863, propagate_backward_time: 567.2209472656, weight_update_time: 0.9478300214, other_time: 11.8350830078
epoch time: 78.7049484253s, input_fired_time: 1.6067690849, output_fired_time: 0.0000000000, propagate_forward_time: 75.0276107788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0705718994
validation[          , genome 18314] predictions:    9901/  10000 (99.01%), best:    9901/10000 (99.01%), error:       317.82446, best error:       317.82446 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1005.8742675781s, input_fired_time: 13.4340076447, output_fired_time: 11.3327989578, propagate_forward_time: 398.7412719727, propagate_backward_time: 570.5187377930, weight_update_time: 0.9535944462, other_time: 11.8474121094
epoch time: 77.9870605469s, input_fired_time: 1.5903549194, output_fired_time: 0.0000000000, propagate_forward_time: 74.3200225830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0766830444
validation[          , genome 18314] predictions:    9892/  10000 (98.92%), best:    9901/10000 (99.01%), error:       343.30219, best error:       317.82446 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 985.4647827148s, input_fired_time: 13.1322746277, output_fired_time: 10.9551467896, propagate_forward_time: 383.2909851074, propagate_backward_time: 566.2001953125, weight_update_time: 0.9528330564, other_time: 11.8862304688
epoch time: 76.2615737915s, input_fired_time: 1.5739487410, output_fired_time: 0.0000000000, propagate_forward_time: 72.6255569458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0620651245
validation[          , genome 18314] predictions:    9884/  10000 (98.84%), best:    9901/10000 (99.01%), error:       360.63443, best error:       317.82446 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 979.1182861328s, input_fired_time: 13.1262006760, output_fired_time: 11.7087869644, propagate_forward_time: 377.7207031250, propagate_backward_time: 565.0725097656, weight_update_time: 0.9133821130, other_time: 11.4900512695
epoch time: 75.2827606201s, input_fired_time: 1.5591205359, output_fired_time: 0.0000000000, propagate_forward_time: 71.6919555664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0316848755
validation[          , genome 18314] predictions:    9900/  10000 (99.00%), best:    9901/10000 (99.01%), error:       319.49561, best error:       317.82446 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 997.3322753906s, input_fired_time: 13.3936347961, output_fired_time: 11.7722444534, propagate_forward_time: 389.4603881836, propagate_backward_time: 571.2552490234, weight_update_time: 0.9089601040, other_time: 11.4508056641
epoch time: 78.0660171509s, input_fired_time: 1.5925620794, output_fired_time: 0.0000000000, propagate_forward_time: 74.4025802612, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0708770752
validation[          , genome 18314] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       309.87448, best error:       309.87448 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1007.3062133789s, input_fired_time: 13.6090326309, output_fired_time: 11.7065076828, propagate_forward_time: 407.4898681641, propagate_backward_time: 562.4297485352, weight_update_time: 0.9736133218, other_time: 12.0711059570
epoch time: 77.9547500610s, input_fired_time: 1.5919072628, output_fired_time: 0.0000000000, propagate_forward_time: 74.2849349976, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0779113770
validation[          , genome 18314] predictions:    9902/  10000 (99.02%), best:    9904/10000 (99.04%), error:       337.99133, best error:       309.87448 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1000.5900268555s, input_fired_time: 13.5272521973, output_fired_time: 11.5787010193, propagate_forward_time: 402.3173217773, propagate_backward_time: 561.1619262695, weight_update_time: 0.9648787975, other_time: 12.0048217773
epoch time: 75.5929183960s, input_fired_time: 1.5645115376, output_fired_time: 0.0000000000, propagate_forward_time: 71.9686279297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0597763062
validation[          , genome 18314] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       311.26556, best error:       309.87448 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 981.9042358398s, input_fired_time: 13.1043624878, output_fired_time: 11.5409584045, propagate_forward_time: 378.1718444824, propagate_backward_time: 567.3718872070, weight_update_time: 0.9345270395, other_time: 11.7151489258
epoch time: 77.5385894775s, input_fired_time: 1.5869526863, output_fired_time: 0.0000000000, propagate_forward_time: 73.8898391724, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0617980957
validation[          , genome 18314] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       276.16135, best error:       276.16135 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 987.7958374023s, input_fired_time: 13.2208213806, output_fired_time: 11.8182058334, propagate_forward_time: 380.7179565430, propagate_backward_time: 570.5908813477, weight_update_time: 0.9085020423, other_time: 11.4479980469
epoch time: 78.1172790527s, input_fired_time: 1.5971601009, output_fired_time: 0.0000000000, propagate_forward_time: 74.4561462402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0639724731
validation[          , genome 18314] predictions:    9909/  10000 (99.09%), best:    9918/10000 (99.18%), error:       293.35184, best error:       276.16135 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1008.0532836914s, input_fired_time: 13.6940517426, output_fired_time: 11.5807952881, propagate_forward_time: 408.7384338379, propagate_backward_time: 562.2171020508, weight_update_time: 0.9446027875, other_time: 11.8229370117
epoch time: 77.9567565918s, input_fired_time: 1.5903146267, output_fired_time: 0.0000000000, propagate_forward_time: 74.2975845337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0688552856
validation[          , genome 18314] predictions:    9892/  10000 (98.92%), best:    9918/10000 (99.18%), error:       341.03522, best error:       276.16135 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1007.7959594727s, input_fired_time: 13.6316709518, output_fired_time: 11.5259132385, propagate_forward_time: 405.8833923340, propagate_backward_time: 564.8620605469, weight_update_time: 0.9567608237, other_time: 11.8929443359
epoch time: 78.1955184937s, input_fired_time: 1.6050468683, output_fired_time: 0.0000000000, propagate_forward_time: 74.5286254883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0618438721
validation[          , genome 18314] predictions:    9890/  10000 (98.90%), best:    9918/10000 (99.18%), error:       336.64667, best error:       276.16135 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 992.1430053711s, input_fired_time: 13.3030099869, output_fired_time: 11.3955183029, propagate_forward_time: 388.1350402832, propagate_backward_time: 567.5910644531, weight_update_time: 0.9313157797, other_time: 11.7183837891
epoch time: 77.2794265747s, input_fired_time: 1.5908509493, output_fired_time: 0.0000000000, propagate_forward_time: 73.6030654907, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0855102539
validation[          , genome 18314] predictions:    9907/  10000 (99.07%), best:    9918/10000 (99.18%), error:       300.27838, best error:       276.16135 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 980.8444824219s, input_fired_time: 13.1204452515, output_fired_time: 11.7654457092, propagate_forward_time: 374.3587951660, propagate_backward_time: 570.1117553711, weight_update_time: 0.9152180552, other_time: 11.4880981445
epoch time: 74.9019470215s, input_fired_time: 1.5541527271, output_fired_time: 0.0000000000, propagate_forward_time: 71.3217620850, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0260314941
validation[          , genome 18314] predictions:    9879/  10000 (98.79%), best:    9918/10000 (99.18%), error:       400.07571, best error:       276.16135 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 992.8641357422s, input_fired_time: 13.3309316635, output_fired_time: 11.3832769394, propagate_forward_time: 390.6353759766, propagate_backward_time: 565.6895751953, weight_update_time: 0.9451084137, other_time: 11.8249511719
epoch time: 78.3934783936s, input_fired_time: 1.6061007977, output_fired_time: 0.0000000000, propagate_forward_time: 74.7231369019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0642395020
validation[          , genome 18314] predictions:    9894/  10000 (98.94%), best:    9918/10000 (99.18%), error:       344.13077, best error:       276.16135 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1007.3283691406s, input_fired_time: 13.6926860809, output_fired_time: 11.8586721420, propagate_forward_time: 407.4846496582, propagate_backward_time: 562.4688720703, weight_update_time: 0.9476602077, other_time: 11.8234863281
epoch time: 77.8445587158s, input_fired_time: 1.5985673666, output_fired_time: 0.0000000000, propagate_forward_time: 74.1489257813, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0970687866
validation[          , genome 18314] predictions:    9902/  10000 (99.02%), best:    9918/10000 (99.18%), error:       327.72028, best error:       276.16135 on epoch:    47, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1008.2145385742s, input_fired_time: 13.6234645844, output_fired_time: 11.0336284637, propagate_forward_time: 408.3635559082, propagate_backward_time: 562.9944458008, weight_update_time: 0.9855912328, other_time: 12.1994018555
epoch time: 74.7277908325s, input_fired_time: 1.5536173582, output_fired_time: 0.0000000000, propagate_forward_time: 71.1294479370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0447235107
validation[          , genome 18314] predictions:    9900/  10000 (99.00%), best:    9918/10000 (99.18%), error:       319.70917, best error:       276.16135 on epoch:    47, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 981.9241333008s, input_fired_time: 12.9907264709, output_fired_time: 11.5427713394, propagate_forward_time: 371.2984619141, propagate_backward_time: 574.4387817383, weight_update_time: 0.9281997681, other_time: 11.6533813477
epoch time: 75.9567108154s, input_fired_time: 1.5615625381, output_fired_time: 0.0000000000, propagate_forward_time: 72.3312454224, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0639038086
validation[          , genome 18314] predictions:    9882/  10000 (98.82%), best:    9918/10000 (99.18%), error:       397.17380, best error:       276.16135 on epoch:    47, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 986.1091918945s, input_fired_time: 13.2575502396, output_fired_time: 11.5463848114, propagate_forward_time: 382.9573059082, propagate_backward_time: 566.7291259766, weight_update_time: 0.9239048958, other_time: 11.6187744141
epoch time: 76.6525955200s, input_fired_time: 1.5858237743, output_fired_time: 0.0000000000, propagate_forward_time: 72.9981918335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0685806274
validation[          , genome 18314] predictions:    9911/  10000 (99.11%), best:    9918/10000 (99.18%), error:       281.45624, best error:       276.16135 on epoch:    47, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1003.4235229492s, input_fired_time: 13.5069751740, output_fired_time: 11.7119426727, propagate_forward_time: 398.4350585938, propagate_backward_time: 567.9395751953, weight_update_time: 0.9485680461, other_time: 11.8300170898
epoch time: 78.2828521729s, input_fired_time: 1.5959078074, output_fired_time: 0.0000000000, propagate_forward_time: 74.6277008057, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0592422485
validation[          , genome 18314] predictions:    9920/  10000 (99.20%), best:    9918/10000 (99.18%), error:       288.26877, best error:       276.16135 on epoch:    47, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1004.1463012695s, input_fired_time: 13.4714307785, output_fired_time: 11.3108778000, propagate_forward_time: 398.0202636719, propagate_backward_time: 569.4174194336, weight_update_time: 0.9598365426, other_time: 11.9263305664
epoch time: 78.4475021362s, input_fired_time: 1.6084593534, output_fired_time: 0.0000000000, propagate_forward_time: 74.7758407593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0632019043
validation[          , genome 18314] predictions:    9913/  10000 (99.13%), best:    9918/10000 (99.18%), error:       278.00067, best error:       276.16135 on epoch:    47, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 994.4519042969s, input_fired_time: 13.2613124847, output_fired_time: 11.3435325623, propagate_forward_time: 386.3009338379, propagate_backward_time: 571.6863403320, weight_update_time: 0.9515856504, other_time: 11.8598022461
epoch time: 75.6349487305s, input_fired_time: 1.5740063190, output_fired_time: 0.0000000000, propagate_forward_time: 71.9969635010, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0639801025
validation[          , genome 18314] predictions:    9909/  10000 (99.09%), best:    9918/10000 (99.18%), error:       299.00015, best error:       276.16135 on epoch:    47, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 974.4159545898s, input_fired_time: 13.0197725296, output_fired_time: 11.2390966415, propagate_forward_time: 373.2114257813, propagate_backward_time: 565.3522949219, weight_update_time: 0.9219009280, other_time: 11.5933837891
epoch time: 75.9261398315s, input_fired_time: 1.5720976591, output_fired_time: 0.0000000000, propagate_forward_time: 72.3114395142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0426025391
validation[          , genome 18314] predictions:    9916/  10000 (99.16%), best:    9916/10000 (99.16%), error:       275.42908, best error:       275.42908 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 974.9093017578s, input_fired_time: 13.0284948349, output_fired_time: 11.1569604874, propagate_forward_time: 372.8858642578, propagate_backward_time: 566.1625976563, weight_update_time: 0.9297159910, other_time: 11.6753540039
epoch time: 78.1309051514s, input_fired_time: 1.6015094519, output_fired_time: 0.0000000000, propagate_forward_time: 74.4720916748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0573043823
validation[          , genome 18314] predictions:    9908/  10000 (99.08%), best:    9916/10000 (99.16%), error:       283.45358, best error:       275.42908 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1006.1965332031s, input_fired_time: 13.6687784195, output_fired_time: 11.7261838913, propagate_forward_time: 404.9056396484, propagate_backward_time: 564.1063232422, weight_update_time: 0.9455283284, other_time: 11.7896118164
epoch time: 78.1240158081s, input_fired_time: 1.6040054560, output_fired_time: 0.0000000000, propagate_forward_time: 74.4660339355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0539779663
validation[          , genome 18314] predictions:    9921/  10000 (99.21%), best:    9921/10000 (99.21%), error:       272.65265, best error:       272.65265 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1004.5560302734s, input_fired_time: 13.5188741684, output_fired_time: 11.6824312210, propagate_forward_time: 397.7966613770, propagate_backward_time: 569.8296508789, weight_update_time: 0.9363743663, other_time: 11.7284545898
epoch time: 77.4174118042s, input_fired_time: 1.5998901129, output_fired_time: 0.0000000000, propagate_forward_time: 73.7646179199, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0529022217
validation[          , genome 18314] predictions:    9909/  10000 (99.09%), best:    9921/10000 (99.21%), error:       310.54092, best error:       272.65265 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1401.4199218750s, input_fired_time: 15.4690523148, output_fired_time: 16.8751697540, propagate_forward_time: 530.8350219727, propagate_backward_time: 823.5258178711, weight_update_time: 1.0109084845, other_time: 14.7149658203
epoch time: 111.5398101807s, input_fired_time: 1.9710775614, output_fired_time: 0.0000000000, propagate_forward_time: 106.7206268311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8481063843
validation[          , genome 18314] predictions:    9896/  10000 (98.96%), best:    9921/10000 (99.21%), error:       341.08786, best error:       272.65265 on epoch:    63, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1410.3839111328s, input_fired_time: 18.0692100525, output_fired_time: 15.2980060577, propagate_forward_time: 530.6716918945, propagate_backward_time: 830.0671386719, weight_update_time: 1.0037448406, other_time: 16.2778930664
epoch time: 112.4457015991s, input_fired_time: 2.1882777214, output_fired_time: 0.0000000000, propagate_forward_time: 106.6002044678, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6572189331
validation[          , genome 18314] predictions:    9915/  10000 (99.15%), best:    9915/10000 (99.15%), error:       271.38940, best error:       271.38940 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1425.5621337891s, input_fired_time: 18.6101493835, output_fired_time: 16.9223957062, propagate_forward_time: 537.8562011719, propagate_backward_time: 835.7942504883, weight_update_time: 1.2152880430, other_time: 16.3792114258
epoch time: 112.1593551636s, input_fired_time: 2.1865012646, output_fired_time: 0.0000000000, propagate_forward_time: 107.1411666870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8316879272
validation[          , genome 18314] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       265.03421, best error:       265.03421 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1431.7687988281s, input_fired_time: 17.6296691895, output_fired_time: 15.7353515625, propagate_forward_time: 539.0841674805, propagate_backward_time: 844.3734130859, weight_update_time: 1.0083124638, other_time: 14.9462280273
epoch time: 112.1939315796s, input_fired_time: 1.9825024605, output_fired_time: 0.0000000000, propagate_forward_time: 107.1662521362, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0451736450
validation[          , genome 18314] predictions:    9914/  10000 (99.14%), best:    9918/10000 (99.18%), error:       308.24057, best error:       265.03421 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1417.9255371094s, input_fired_time: 16.6873073578, output_fired_time: 17.0414447784, propagate_forward_time: 534.7362060547, propagate_backward_time: 834.3619384766, weight_update_time: 1.6090800762, other_time: 15.0986328125
epoch time: 110.5100860596s, input_fired_time: 2.1627218723, output_fired_time: 0.0000000000, propagate_forward_time: 105.1302032471, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2171630859
validation[          , genome 18314] predictions:    9917/  10000 (99.17%), best:    9917/10000 (99.17%), error:       263.88324, best error:       263.88324 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1421.1214599609s, input_fired_time: 17.3572349548, output_fired_time: 15.6365919113, propagate_forward_time: 534.1456909180, propagate_backward_time: 839.4609985352, weight_update_time: 1.0072110891, other_time: 14.5209960938
epoch time: 112.8116683960s, input_fired_time: 1.9940373898, output_fired_time: 0.0000000000, propagate_forward_time: 108.1560668945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6615676880
validation[          , genome 18314] predictions:    9910/  10000 (99.10%), best:    9917/10000 (99.17%), error:       298.57294, best error:       263.88324 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 1426.2305908203s, input_fired_time: 17.8070812225, output_fired_time: 16.4939079285, propagate_forward_time: 538.6466674805, propagate_backward_time: 836.8923339844, weight_update_time: 1.0128431320, other_time: 16.3905639648
epoch time: 110.4664993286s, input_fired_time: 2.3642475605, output_fired_time: 0.0000000000, propagate_forward_time: 105.2730102539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8292388916
validation[          , genome 18314] predictions:    9903/  10000 (99.03%), best:    9917/10000 (99.17%), error:       300.71417, best error:       263.88324 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1413.2462158203s, input_fired_time: 19.0686187744, output_fired_time: 16.9682521820, propagate_forward_time: 528.8964843750, propagate_backward_time: 832.2369995117, weight_update_time: 1.2073359489, other_time: 16.0758666992
epoch time: 110.9729080200s, input_fired_time: 2.1672172546, output_fired_time: 0.0000000000, propagate_forward_time: 106.1691818237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6365127563
validation[          , genome 18314] predictions:    9927/  10000 (99.27%), best:    9927/10000 (99.27%), error:       255.52936, best error:       255.52936 on epoch:    72, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1419.7301025391s, input_fired_time: 17.9660835266, output_fired_time: 16.4108581543, propagate_forward_time: 534.7592773438, propagate_backward_time: 833.8952026367, weight_update_time: 1.2033169270, other_time: 16.6986694336
epoch time: 112.7652664185s, input_fired_time: 2.3989725113, output_fired_time: 0.0000000000, propagate_forward_time: 107.9090881348, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4572067261
validation[          , genome 18314] predictions:    9922/  10000 (99.22%), best:    9927/10000 (99.27%), error:       272.88181, best error:       255.52936 on epoch:    72, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1423.4106445313s, input_fired_time: 17.3839874268, output_fired_time: 16.4994277954, propagate_forward_time: 535.3735351563, propagate_backward_time: 837.9656372070, weight_update_time: 1.4215844870, other_time: 16.1880493164
epoch time: 112.1413955688s, input_fired_time: 1.9877239466, output_fired_time: 0.0000000000, propagate_forward_time: 107.3095397949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8441314697
validation[          , genome 18314] predictions:    9925/  10000 (99.25%), best:    9927/10000 (99.27%), error:       258.24313, best error:       255.52936 on epoch:    72, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1421.8336181641s, input_fired_time: 17.3483257294, output_fired_time: 15.8206233978, propagate_forward_time: 538.0048828125, propagate_backward_time: 834.4608154297, weight_update_time: 1.6172115803, other_time: 16.1989746094
epoch time: 110.8126525879s, input_fired_time: 2.3664894104, output_fired_time: 0.0000000000, propagate_forward_time: 105.8077087402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6384582520
validation[          , genome 18314] predictions:    9918/  10000 (99.18%), best:    9927/10000 (99.27%), error:       282.95978, best error:       255.52936 on epoch:    72, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1419.2064208984s, input_fired_time: 16.7302055359, output_fired_time: 16.0438423157, propagate_forward_time: 534.3511962891, propagate_backward_time: 836.7851562500, weight_update_time: 1.0078175068, other_time: 15.2960205078
epoch time: 112.6747741699s, input_fired_time: 2.1897766590, output_fired_time: 0.0000000000, propagate_forward_time: 107.8192443848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6657562256
validation[          , genome 18314] predictions:    9907/  10000 (99.07%), best:    9927/10000 (99.27%), error:       285.36969, best error:       255.52936 on epoch:    72, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1426.7402343750s, input_fired_time: 17.2090835571, output_fired_time: 18.1597328186, propagate_forward_time: 537.2109375000, propagate_backward_time: 838.6235961914, weight_update_time: 1.2144911289, other_time: 15.5368041992
epoch time: 111.4491729736s, input_fired_time: 1.9759554863, output_fired_time: 0.0000000000, propagate_forward_time: 106.4151077271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0581130981
validation[          , genome 18314] predictions:    9922/  10000 (99.22%), best:    9927/10000 (99.27%), error:       258.75125, best error:       255.52936 on epoch:    72, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1417.4987792969s, input_fired_time: 17.9499721527, output_fired_time: 15.3682441711, propagate_forward_time: 537.6581420898, propagate_backward_time: 831.2112426758, weight_update_time: 1.6106411219, other_time: 15.3111572266
epoch time: 111.8093261719s, input_fired_time: 2.3800122738, output_fired_time: 0.0000000000, propagate_forward_time: 106.5718383789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8574752808
validation[          , genome 18314] predictions:    9916/  10000 (99.16%), best:    9927/10000 (99.27%), error:       277.28604, best error:       255.52936 on epoch:    72, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1416.9062500000s, input_fired_time: 18.7026920319, output_fired_time: 16.3941192627, propagate_forward_time: 530.2459106445, propagate_backward_time: 835.2770996094, weight_update_time: 1.2086113691, other_time: 16.2864379883
epoch time: 96.8488082886s, input_fired_time: 1.8080290556, output_fired_time: 0.0000000000, propagate_forward_time: 92.3669509888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6738281250
validation[          , genome 18314] predictions:    9921/  10000 (99.21%), best:    9921/10000 (99.21%), error:       253.25304, best error:       253.25304 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1412.5538330078s, input_fired_time: 17.5181617737, output_fired_time: 15.9480285645, propagate_forward_time: 529.7873535156, propagate_backward_time: 833.8151855469, weight_update_time: 1.0063587427, other_time: 15.4851074219
epoch time: 110.5392608643s, input_fired_time: 2.3695900440, output_fired_time: 0.0000000000, propagate_forward_time: 105.1274032593, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0422668457
validation[          , genome 18314] predictions:    9913/  10000 (99.13%), best:    9921/10000 (99.21%), error:       268.11426, best error:       253.25304 on epoch:    79, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1347.7214355469s, input_fired_time: 16.4626255035, output_fired_time: 15.3834123611, propagate_forward_time: 506.8437805176, propagate_backward_time: 795.1491699219, weight_update_time: 0.9665812850, other_time: 13.8824462891
epoch time: 91.1755371094s, input_fired_time: 2.3318326473, output_fired_time: 0.0000000000, propagate_forward_time: 86.6490783691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1946258545
validation[          , genome 18314] predictions:    9919/  10000 (99.19%), best:    9921/10000 (99.21%), error:       259.20474, best error:       253.25304 on epoch:    79, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

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_1518178202_49_18314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18314_1_r193093933_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: 0.982697
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000186314
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.45255e-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: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 79
read number_validation_images: 10000
read best_validation_predictions: 9921
read best_validation_error: 253.253
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: 18314
read normal distribution: '1 -0.280074715614319 -0.521667540073395'
generator_str: '2041826390'
read generator: 2041826390
read generated_by_map:
1 change_size 1
reading 128 nodes.
reading 501 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: 1334.38659667969s, input_fired_time: 16.1566963195801, output_fired_time: 14.9711380004883, propagate_forward_time: 501.992858886719, propagate_backward_time: 786.597534179688, weight_update_time: 1.36897253990173, other_time: 14.6682739257813
epoch time: 98.1663589477539s, input_fired_time: 2.21903514862061, output_fired_time: 0, propagate_forward_time: 93.4648818969727, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.48244476318359
validation[          , genome 18314] predictions:    9923/  10000 (99.23%), best:    9921/10000 (99.21%), error:       257.45944, best error:       253.25304 on epoch:    79, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1395.3602294922s, input_fired_time: 18.1551513672, output_fired_time: 17.4410972595, propagate_forward_time: 523.2482910156, propagate_backward_time: 820.7623901367, weight_update_time: 1.3936603069, other_time: 15.7533569336
epoch time: 111.0266723633s, input_fired_time: 2.1693277359, output_fired_time: 0.0000000000, propagate_forward_time: 105.8324737549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0248718262
validation[          , genome 18314] predictions:    9929/  10000 (99.29%), best:    9921/10000 (99.21%), error:       258.81281, best error:       253.25304 on epoch:    79, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1414.8267822266s, input_fired_time: 17.5456619263, output_fired_time: 16.5641250610, propagate_forward_time: 532.4689941406, propagate_backward_time: 833.4349975586, weight_update_time: 0.9972832799, other_time: 14.8130493164
epoch time: 113.4673461914s, input_fired_time: 2.6092033386, output_fired_time: 0.0000000000, propagate_forward_time: 108.4124450684, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4456939697
validation[          , genome 18314] predictions:    9926/  10000 (99.26%), best:    9921/10000 (99.21%), error:       260.89478, best error:       253.25304 on epoch:    79, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1418.9046630859s, input_fired_time: 18.1798877716, output_fired_time: 16.4157161713, propagate_forward_time: 534.9270019531, propagate_backward_time: 834.2767333984, weight_update_time: 1.0051399469, other_time: 15.1052246094
epoch time: 111.2318420410s, input_fired_time: 2.5710277557, output_fired_time: 0.0000000000, propagate_forward_time: 106.0336151123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6271972656
validation[          , genome 18314] predictions:    9927/  10000 (99.27%), best:    9921/10000 (99.21%), error:       266.73856, best error:       253.25304 on epoch:    79, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1271.3555908203s, input_fired_time: 15.5935354233, output_fired_time: 14.7044324875, propagate_forward_time: 475.0377502441, propagate_backward_time: 750.5195312500, weight_update_time: 1.5347427130, other_time: 15.5003662109
epoch time: 97.2454299927s, input_fired_time: 1.8069070578, output_fired_time: 0.0000000000, propagate_forward_time: 92.9600753784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4784469604
validation[          , genome 18314] predictions:    9928/  10000 (99.28%), best:    9928/10000 (99.28%), error:       251.34485, best error:       251.34485 on epoch:    86, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

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_1518178202_49_18314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18314_1_r193093933_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: 0.984349
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000144166
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.76664e-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: 87
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 86
read number_validation_images: 10000
read best_validation_predictions: 9928
read best_validation_error: 251.345
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: 18314
read normal distribution: '1 -0.280074715614319 -0.521667540073395'
generator_str: '1857151231'
read generator: 1857151231
read generated_by_map:
1 change_size 1
reading 128 nodes.
reading 501 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: 1371.35852050781s, input_fired_time: 17.4299125671387, output_fired_time: 15.7513599395752, propagate_forward_time: 516.797729492188, propagate_backward_time: 805.308044433594, weight_update_time: 1.58803772926331, other_time: 16.0714721679688
epoch time: 106.624206542969s, input_fired_time: 2.73401880264282, output_fired_time: 0, propagate_forward_time: 100.702522277832, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.18766784667969
validation[          , genome 18314] predictions:    9924/  10000 (99.24%), best:    9928/10000 (99.28%), error:       257.31750, best error:       251.34485 on epoch:    86, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1408.1535644531s, input_fired_time: 17.5002670288, output_fired_time: 17.1408348083, propagate_forward_time: 528.9089355469, propagate_backward_time: 828.0867309570, weight_update_time: 1.2065871954, other_time: 16.5167846680
epoch time: 110.1057281494s, input_fired_time: 2.3649833202, output_fired_time: 0.0000000000, propagate_forward_time: 105.1331405640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6076049805
validation[          , genome 18314] predictions:    9927/  10000 (99.27%), best:    9928/10000 (99.28%), error:       269.03479, best error:       251.34485 on epoch:    86, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1404.9846191406s, input_fired_time: 17.0510368347, output_fired_time: 16.1329822540, propagate_forward_time: 527.8609619141, propagate_backward_time: 829.3256835938, weight_update_time: 0.9995552897, other_time: 14.6140136719
epoch time: 109.5291595459s, input_fired_time: 2.1530902386, output_fired_time: 0.0000000000, propagate_forward_time: 104.3575668335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0185012817
validation[          , genome 18314] predictions:    9928/  10000 (99.28%), best:    9928/10000 (99.28%), error:       245.70029, best error:       245.70029 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1413.4770507813s, input_fired_time: 17.7282485962, output_fired_time: 17.0978088379, propagate_forward_time: 532.7444458008, propagate_backward_time: 830.2925415039, weight_update_time: 1.8069989681, other_time: 15.6140136719
epoch time: 112.7879333496s, input_fired_time: 1.9931250811, output_fired_time: 0.0000000000, propagate_forward_time: 108.5504608154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2443466187
validation[          , genome 18314] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       256.33240, best error:       245.70029 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1397.7963867188s, input_fired_time: 17.2430324554, output_fired_time: 15.8205404282, propagate_forward_time: 526.6450195313, propagate_backward_time: 823.1432495117, weight_update_time: 1.1962949038, other_time: 14.9445190430
epoch time: 110.8532485962s, input_fired_time: 1.9675643444, output_fired_time: 0.0000000000, propagate_forward_time: 106.0443191528, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8413619995
validation[          , genome 18314] predictions:    9927/  10000 (99.27%), best:    9928/10000 (99.28%), error:       249.06229, best error:       245.70029 on epoch:    89, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1394.6097412109s, input_fired_time: 17.7633857727, output_fired_time: 14.9809455872, propagate_forward_time: 524.8132324219, propagate_backward_time: 820.0914916992, weight_update_time: 1.3954008818, other_time: 16.9606323242
epoch time: 110.8123703003s, input_fired_time: 1.9666558504, output_fired_time: 0.0000000000, propagate_forward_time: 106.2039489746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6417617798
validation[          , genome 18314] predictions:    9923/  10000 (99.23%), best:    9928/10000 (99.28%), error:       257.02701, best error:       245.70029 on epoch:    89, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

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_1518178202_49_18314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18314_1_r193093933_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: 0.985846
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000105975
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.23901e-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: 93
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 89
read number_validation_images: 10000
read best_validation_predictions: 9928
read best_validation_error: 245.7
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: 18314
read normal distribution: '1 -0.280074715614319 -0.521667540073395'
generator_str: '18987986'
read generator: 18987986
read generated_by_map:
1 change_size 1
reading 128 nodes.
reading 501 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: 1422.4052734375s, input_fired_time: 17.8228855133057, output_fired_time: 17.3957557678223, propagate_forward_time: 534.576416015625, propagate_backward_time: 836.429077148438, weight_update_time: 1.22043895721436, other_time: 16.18115234375
epoch time: 112.559417724609s, input_fired_time: 2.22225141525269, output_fired_time: 0, propagate_forward_time: 107.422416687012, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.91474914550781
validation[          , genome 18314] predictions:    9924/  10000 (99.24%), best:    9928/10000 (99.28%), error:       253.62691, best error:       245.70029 on epoch:    89, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1434.0643310547s, input_fired_time: 17.8516712189, output_fired_time: 18.6199760437, propagate_forward_time: 539.4053955078, propagate_backward_time: 841.2067260742, weight_update_time: 1.6258087158, other_time: 16.9805297852
epoch time: 112.8963546753s, input_fired_time: 2.0113956928, output_fired_time: 0.0000000000, propagate_forward_time: 108.2267074585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6582489014
validation[          , genome 18314] predictions:    9922/  10000 (99.22%), best:    9928/10000 (99.28%), error:       275.63330, best error:       245.70029 on epoch:    89, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1431.1319580078s, input_fired_time: 17.4254550934, output_fired_time: 17.1418361664, propagate_forward_time: 540.8518676758, propagate_backward_time: 838.7127075195, weight_update_time: 1.0276638269, other_time: 17.0001220703
epoch time: 112.6736526489s, input_fired_time: 2.6366310120, output_fired_time: 0.0000000000, propagate_forward_time: 107.5447998047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4922180176
validation[          , genome 18314] predictions:    9924/  10000 (99.24%), best:    9928/10000 (99.28%), error:       261.49283, best error:       245.70029 on epoch:    89, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1436.8978271484s, input_fired_time: 18.5564346313, output_fired_time: 16.5241069794, propagate_forward_time: 544.5382080078, propagate_backward_time: 841.9658203125, weight_update_time: 1.0316761732, other_time: 15.3133544922
epoch time: 112.3526306152s, input_fired_time: 2.1960825920, output_fired_time: 0.0000000000, propagate_forward_time: 107.5235977173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6329498291
validation[          , genome 18314] predictions:    9926/  10000 (99.26%), best:    9928/10000 (99.28%), error:       257.35745, best error:       245.70029 on epoch:    89, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1352.0584716797s, input_fired_time: 15.9240446091, output_fired_time: 14.2647523880, propagate_forward_time: 507.4391784668, propagate_backward_time: 799.6626586914, weight_update_time: 0.9733745456, other_time: 14.7677612305
epoch time: 111.1721725464s, input_fired_time: 2.5766675472, output_fired_time: 0.0000000000, propagate_forward_time: 106.1553802490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4401245117
validation[          , genome 18314] predictions:    9925/  10000 (99.25%), best:    9928/10000 (99.28%), error:       266.19366, best error:       245.70029 on epoch:    89, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1363.3537597656s, input_fired_time: 16.3668975830, output_fired_time: 15.9410085678, propagate_forward_time: 511.2380371094, propagate_backward_time: 804.8061523438, weight_update_time: 1.1787579060, other_time: 15.0015869141
epoch time: 110.6899185181s, input_fired_time: 1.9640682936, output_fired_time: 0.0000000000, propagate_forward_time: 106.2844467163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4414062500
validation[          , genome 18314] predictions:    9928/  10000 (99.28%), best:    9928/10000 (99.28%), error:       259.37045, best error:       245.70029 on epoch:    89, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

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_1518178202_49_18314.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_49_18314_1_r193093933_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: 0.986946
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.79016e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.11606e-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: 99
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 89
read number_validation_images: 10000
read best_validation_predictions: 9928
read best_validation_error: 245.7
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: 18314
read normal distribution: '1 -0.280074715614319 -0.521667540073395'
generator_str: '1443219437'
read generator: 1443219437
read generated_by_map:
1 change_size 1
reading 128 nodes.
reading 501 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: 1403.74243164063s, input_fired_time: 18.6642799377441, output_fired_time: 16.846435546875, propagate_forward_time: 526.2470703125, propagate_backward_time: 825.989379882813, weight_update_time: 1.39327943325043, other_time: 15.9952392578125
epoch time: 111.055389404297s, input_fired_time: 1.97675120830536, output_fired_time: 0, propagate_forward_time: 106.243980407715, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.83465576171875
validation[          , genome 18314] predictions:    9930/  10000 (99.30%), best:    9928/10000 (99.28%), error:       250.17313, best error:       245.70029 on epoch:    89, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1416.9844970703s, input_fired_time: 18.7469673157, output_fired_time: 17.9588527679, propagate_forward_time: 532.4291381836, propagate_backward_time: 832.9261474609, weight_update_time: 1.0072590113, other_time: 14.9234008789
epoch time: 111.7174072266s, input_fired_time: 1.7801629305, output_fired_time: 0.0000000000, propagate_forward_time: 106.8810195923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0562210083
validation[          , genome 18314] predictions:    9925/  10000 (99.25%), best:    9928/10000 (99.28%), error:       260.66803, best error:       245.70029 on epoch:    89, 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: 559.6984863281s, input_fired_time: 10.9534139633, output_fired_time: 0.0000000000, propagate_forward_time: 533.4742431641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.2708129883
best training[          , genome 18314] predictions:   49999/  50000 (100.00%), best:    9928/10000 (99.28%), error:        84.01687, best error:       245.70029 on epoch:    89, 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: 122.1102905273s, input_fired_time: 1.7779605389, output_fired_time: 0.0000000000, propagate_forward_time: 117.6829452515, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6493835449
   testing[          , genome 18314] predictions:    9919/  10000 (99.19%), best:    9928/10000 (99.28%), error:       247.37463, best error:       245.70029 on epoch:    89, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
18:16:21 (6508): called boinc_finish(0)

</stderr_txt>
]]>