Nameexact_genome_1517574602_47_18220_0
Workunit2989905
Created9 Feb 2018, 0:55:44 UTC
Sent9 Feb 2018, 1:36:52 UTC
Report deadline18 Apr 2018, 0:01:57 UTC
Received10 Feb 2018, 21:28:48 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID52260
Run time1 days 3 hours 42 min 17 sec
CPU time1 days 3 hours 23 min 27 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS4.44 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size186.82 MB
Peak swap size189.99 MB
Peak disk usage8.51 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
0, weight_update_time: 0.5344104767, other_time: 12.0485229492
epoch time: 71.9876708984s, input_fired_time: 1.1301680803, output_fired_time: 0.0000000000, propagate_forward_time: 68.6329040527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2246017456
validation[          , genome 18220] predictions:    9853/  10000 (98.53%), best:    9849/10000 (98.49%), error:       498.21518, best error:       477.50507 on epoch:    13, epoch:   21/100, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 902.5029907227s, input_fired_time: 9.5698232651, output_fired_time: 8.4363756180, propagate_forward_time: 348.8778076172, propagate_backward_time: 523.5550537109, weight_update_time: 0.5449379683, other_time: 12.0639038086
epoch time: 75.1926422119s, input_fired_time: 1.1676639318, output_fired_time: 0.0000000000, propagate_forward_time: 71.8247756958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2002029419
validation[          , genome 18220] predictions:    9866/  10000 (98.66%), best:    9849/10000 (98.49%), error:       493.08392, best error:       477.50507 on epoch:    13, epoch:   22/100, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 916.9533081055s, input_fired_time: 9.7746744156, output_fired_time: 8.5956048965, propagate_forward_time: 355.1579589844, propagate_backward_time: 532.0253906250, weight_update_time: 0.5602509975, other_time: 11.3997192383
epoch time: 73.1973876953s, input_fired_time: 1.1480549574, output_fired_time: 0.0000000000, propagate_forward_time: 69.7471389771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3021926880
validation[          , genome 18220] predictions:    9808/  10000 (98.08%), best:    9849/10000 (98.49%), error:       643.78992, best error:       477.50507 on epoch:    13, epoch:   23/100, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 909.0277709961s, input_fired_time: 9.6935081482, output_fired_time: 8.4757471085, propagate_forward_time: 352.2106018066, propagate_backward_time: 526.8704833984, weight_update_time: 0.5533950925, other_time: 11.7774658203
epoch time: 74.9157485962s, input_fired_time: 1.1758679152, output_fired_time: 0.0000000000, propagate_forward_time: 71.7243957520, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0154876709
validation[          , genome 18220] predictions:    9873/  10000 (98.73%), best:    9873/10000 (98.73%), error:       429.48953, best error:       429.48953 on epoch:    24, epoch:   24/100, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 923.8611450195s, input_fired_time: 9.9014930725, output_fired_time: 8.6736125946, propagate_forward_time: 358.6000976563, propagate_backward_time: 535.3012695313, weight_update_time: 0.5727296472, other_time: 11.3847045898
epoch time: 74.5545959473s, input_fired_time: 1.1695045233, output_fired_time: 0.0000000000, propagate_forward_time: 71.2953567505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0897369385
validation[          , genome 18220] predictions:    9852/  10000 (98.52%), best:    9873/10000 (98.73%), error:       499.26077, best error:       429.48953 on epoch:    24, epoch:   25/100, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 919.0795288086s, input_fired_time: 9.8532896042, output_fired_time: 8.6308250427, propagate_forward_time: 354.9933471680, propagate_backward_time: 533.8854980469, weight_update_time: 0.5681293011, other_time: 11.7166137695
epoch time: 74.3238067627s, input_fired_time: 1.1769603491, output_fired_time: 0.0000000000, propagate_forward_time: 70.9337310791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2131118774
validation[          , genome 18220] predictions:    9855/  10000 (98.55%), best:    9873/10000 (98.73%), error:       442.96069, best error:       429.48953 on epoch:    24, epoch:   26/100, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 920.4755859375s, input_fired_time: 9.8431110382, output_fired_time: 8.6430149078, propagate_forward_time: 356.4558105469, propagate_backward_time: 533.8728637695, weight_update_time: 0.5645386577, other_time: 11.6607666016
epoch time: 74.7459869385s, input_fired_time: 1.1786885262, output_fired_time: 0.0000000000, propagate_forward_time: 71.4552612305, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1120376587
validation[          , genome 18220] predictions:    9849/  10000 (98.49%), best:    9873/10000 (98.73%), error:       513.96722, best error:       429.48953 on epoch:    24, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 924.5450439453s, input_fired_time: 9.9035530090, output_fired_time: 8.6823959351, propagate_forward_time: 358.5275573730, propagate_backward_time: 535.8701782227, weight_update_time: 0.5715166330, other_time: 11.5613403320
epoch time: 76.9957427979s, input_fired_time: 1.2170553207, output_fired_time: 0.0000000000, propagate_forward_time: 73.8149490356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9637374878
validation[          , genome 18220] predictions:    9868/  10000 (98.68%), best:    9868/10000 (98.68%), error:       401.54050, best error:       401.54050 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 945.4644165039s, input_fired_time: 10.1330156326, output_fired_time: 8.8655691147, propagate_forward_time: 367.6810607910, propagate_backward_time: 547.6597900391, weight_update_time: 0.5769116282, other_time: 11.1250000000
epoch time: 74.4478836060s, input_fired_time: 1.1722862720, output_fired_time: 0.0000000000, propagate_forward_time: 71.2919921875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9836044312
validation[          , genome 18220] predictions:    9835/  10000 (98.35%), best:    9868/10000 (98.68%), error:       530.75049, best error:       401.54050 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 918.9961547852s, input_fired_time: 9.8551521301, output_fired_time: 8.6540002823, propagate_forward_time: 355.5939941406, propagate_backward_time: 533.1589355469, weight_update_time: 0.5612663031, other_time: 11.7340698242
epoch time: 74.4889907837s, input_fired_time: 1.1737579107, output_fired_time: 0.0000000000, propagate_forward_time: 71.1220245361, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1932067871
validation[          , genome 18220] predictions:    9884/  10000 (98.84%), best:    9884/10000 (98.84%), error:       369.90894, best error:       369.90894 on epoch:    30, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 916.1290283203s, input_fired_time: 9.8516626358, output_fired_time: 8.6060066223, propagate_forward_time: 354.8872680664, propagate_backward_time: 531.2551879883, weight_update_time: 0.5785281062, other_time: 11.5288696289
epoch time: 74.0337295532s, input_fired_time: 1.1669405699, output_fired_time: 0.0000000000, propagate_forward_time: 70.7721405029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0946502686
validation[          , genome 18220] predictions:    9873/  10000 (98.73%), best:    9884/10000 (98.84%), error:       407.91681, best error:       369.90894 on epoch:    30, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 925.8393554688s, input_fired_time: 9.9077310562, output_fired_time: 8.7457151413, propagate_forward_time: 358.0158996582, propagate_backward_time: 537.4748535156, weight_update_time: 0.5730792880, other_time: 11.6951904297
epoch time: 74.8366699219s, input_fired_time: 1.1867456436, output_fired_time: 0.0000000000, propagate_forward_time: 71.4487152100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2012100220
validation[          , genome 18220] predictions:    9840/  10000 (98.40%), best:    9884/10000 (98.84%), error:       490.68912, best error:       369.90894 on epoch:    30, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 922.2363281250s, input_fired_time: 9.8447475433, output_fired_time: 8.6584367752, propagate_forward_time: 357.8330688477, propagate_backward_time: 534.2673950195, weight_update_time: 0.5614222884, other_time: 11.6326904297
epoch time: 75.3496551514s, input_fired_time: 1.1921164989, output_fired_time: 0.0000000000, propagate_forward_time: 72.0007705688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1567687988
validation[          , genome 18220] predictions:    9807/  10000 (98.07%), best:    9884/10000 (98.84%), error:       560.01093, best error:       369.90894 on epoch:    30, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 908.4357910156s, input_fired_time: 9.6940927505, output_fired_time: 8.5647001266, propagate_forward_time: 351.3497924805, propagate_backward_time: 526.8421630859, weight_update_time: 0.5652515888, other_time: 11.9850463867
epoch time: 72.0515823364s, input_fired_time: 1.1359552145, output_fired_time: 0.0000000000, propagate_forward_time: 68.7279052734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1877212524
validation[          , genome 18220] predictions:    9888/  10000 (98.88%), best:    9884/10000 (98.84%), error:       377.18188, best error:       369.90894 on epoch:    30, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 897.8750610352s, input_fired_time: 9.5854225159, output_fired_time: 8.3877992630, propagate_forward_time: 347.2763366699, propagate_backward_time: 520.4290161133, weight_update_time: 0.5406914949, other_time: 12.1964721680
epoch time: 72.8012466431s, input_fired_time: 1.1438064575, output_fired_time: 0.0000000000, propagate_forward_time: 69.2991714478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3582687378
validation[          , genome 18220] predictions:    9874/  10000 (98.74%), best:    9884/10000 (98.84%), error:       410.07986, best error:       369.90894 on epoch:    30, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 897.5666503906s, input_fired_time: 9.5798912048, output_fired_time: 8.3805904388, propagate_forward_time: 347.3911437988, propagate_backward_time: 520.1823730469, weight_update_time: 0.5388324857, other_time: 12.0325927734
epoch time: 73.0188369751s, input_fired_time: 1.1520303488, output_fired_time: 0.0000000000, propagate_forward_time: 69.6281433105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2386627197
validation[          , genome 18220] predictions:    9894/  10000 (98.94%), best:    9884/10000 (98.84%), error:       385.73962, best error:       369.90894 on epoch:    30, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 898.2647705078s, input_fired_time: 9.5659513474, output_fired_time: 8.3894681931, propagate_forward_time: 347.5382385254, propagate_backward_time: 520.5861206055, weight_update_time: 0.5353592038, other_time: 12.1849975586
epoch time: 72.5045700073s, input_fired_time: 1.1338769197, output_fired_time: 0.0000000000, propagate_forward_time: 69.1190032959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2516860962
validation[          , genome 18220] predictions:    9867/  10000 (98.67%), best:    9884/10000 (98.84%), error:       413.17728, best error:       369.90894 on epoch:    30, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 898.1657714844s, input_fired_time: 9.5535116196, output_fired_time: 8.3706684113, propagate_forward_time: 346.3565368652, propagate_backward_time: 521.6266479492, weight_update_time: 0.5335781574, other_time: 12.2583618164
epoch time: 72.0049972534s, input_fired_time: 1.1364712715, output_fired_time: 0.0000000000, propagate_forward_time: 68.5876541138, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2808685303
validation[          , genome 18220] predictions:    9873/  10000 (98.73%), best:    9884/10000 (98.84%), error:       427.29205, best error:       369.90894 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 900.2916870117s, input_fired_time: 9.6149158478, output_fired_time: 8.4167490005, propagate_forward_time: 348.8811645508, propagate_backward_time: 521.4392700195, weight_update_time: 0.5368169546, other_time: 11.9395751953
epoch time: 73.2006149292s, input_fired_time: 1.1528890133, output_fired_time: 0.0000000000, propagate_forward_time: 69.8093109131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2384185791
validation[          , genome 18220] predictions:    9887/  10000 (98.87%), best:    9884/10000 (98.84%), error:       379.29025, best error:       369.90894 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 898.4873046875s, input_fired_time: 9.5636854172, output_fired_time: 8.4285182953, propagate_forward_time: 347.4926757813, propagate_backward_time: 520.8954467773, weight_update_time: 0.5316701531, other_time: 12.1069946289
epoch time: 72.4454193115s, input_fired_time: 1.1401649714, output_fired_time: 0.0000000000, propagate_forward_time: 69.0189437866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2863082886
validation[          , genome 18220] predictions:    9891/  10000 (98.91%), best:    9891/10000 (98.91%), error:       361.13831, best error:       361.13831 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 899.8501586914s, input_fired_time: 9.5853004456, output_fired_time: 8.4461679459, propagate_forward_time: 347.8031921387, propagate_backward_time: 521.8934936523, weight_update_time: 0.5397775173, other_time: 12.1220092773
epoch time: 71.7186584473s, input_fired_time: 1.1363645792, output_fired_time: 0.0000000000, propagate_forward_time: 68.3412170410, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2410736084
validation[          , genome 18220] predictions:    9873/  10000 (98.73%), best:    9891/10000 (98.91%), error:       426.72794, best error:       361.13831 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 898.9304199219s, input_fired_time: 9.5914545059, output_fired_time: 8.3461980820, propagate_forward_time: 348.0352478027, propagate_backward_time: 520.8281250000, weight_update_time: 0.5354135633, other_time: 12.1293945313
epoch time: 73.3140029907s, input_fired_time: 1.1522598267, output_fired_time: 0.0000000000, propagate_forward_time: 69.8287048340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3330383301
validation[          , genome 18220] predictions:    9883/  10000 (98.83%), best:    9891/10000 (98.91%), error:       385.28891, best error:       361.13831 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 897.9197998047s, input_fired_time: 9.5857896805, output_fired_time: 8.3756284714, propagate_forward_time: 347.6539611816, propagate_backward_time: 520.2058105469, weight_update_time: 0.5395570993, other_time: 12.0986328125
epoch time: 71.9693756104s, input_fired_time: 1.1385341883, output_fired_time: 0.0000000000, propagate_forward_time: 68.6736755371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1571655273
validation[          , genome 18220] predictions:    9883/  10000 (98.83%), best:    9891/10000 (98.91%), error:       389.86371, best error:       361.13831 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 899.1072387695s, input_fired_time: 9.5967817307, output_fired_time: 8.4049749374, propagate_forward_time: 348.0768737793, propagate_backward_time: 521.0485839844, weight_update_time: 0.5420949459, other_time: 11.9799804688
epoch time: 73.4296569824s, input_fired_time: 1.1565251350, output_fired_time: 0.0000000000, propagate_forward_time: 69.9523239136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3208084106
validation[          , genome 18220] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       351.71405, best error:       351.71405 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 896.4707641602s, input_fired_time: 9.5836391449, output_fired_time: 8.3751630783, propagate_forward_time: 346.8538208008, propagate_backward_time: 519.5466308594, weight_update_time: 0.5350958705, other_time: 12.1115112305
epoch time: 73.7185668945s, input_fired_time: 1.1627519131, output_fired_time: 0.0000000000, propagate_forward_time: 70.2796249390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2761917114
validation[          , genome 18220] predictions:    9899/  10000 (98.99%), best:    9899/10000 (98.99%), error:       341.40112, best error:       341.40112 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 899.0502319336s, input_fired_time: 9.6223878860, output_fired_time: 8.3891534805, propagate_forward_time: 348.4365234375, propagate_backward_time: 520.6088256836, weight_update_time: 0.5370506644, other_time: 11.9933471680
epoch time: 72.8535232544s, input_fired_time: 1.1491965055, output_fired_time: 0.0000000000, propagate_forward_time: 69.4567794800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2475509644
validation[          , genome 18220] predictions:    9895/  10000 (98.95%), best:    9899/10000 (98.99%), error:       357.30847, best error:       341.40112 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 898.6467285156s, input_fired_time: 9.5911655426, output_fired_time: 8.4088230133, propagate_forward_time: 347.4579162598, propagate_backward_time: 521.0719604492, weight_update_time: 0.5424497724, other_time: 12.1168823242
epoch time: 72.3180541992s, input_fired_time: 1.1417967081, output_fired_time: 0.0000000000, propagate_forward_time: 68.8692779541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3069763184
validation[          , genome 18220] predictions:    9902/  10000 (99.02%), best:    9899/10000 (98.99%), error:       345.34061, best error:       341.40112 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 908.2625122070s, input_fired_time: 9.7270126343, output_fired_time: 8.5605545044, propagate_forward_time: 351.2501220703, propagate_backward_time: 526.8275146484, weight_update_time: 0.5495662093, other_time: 11.8973388672
epoch time: 73.4512634277s, input_fired_time: 1.1711694002, output_fired_time: 0.0000000000, propagate_forward_time: 70.2307815552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0493087769
validation[          , genome 18220] predictions:    9900/  10000 (99.00%), best:    9899/10000 (98.99%), error:       341.54468, best error:       341.40112 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 912.6610717773s, input_fired_time: 9.7996807098, output_fired_time: 8.5306463242, propagate_forward_time: 353.8414916992, propagate_backward_time: 528.8707275391, weight_update_time: 0.5458698273, other_time: 11.6185302734
epoch time: 73.7976455688s, input_fired_time: 1.1623938084, output_fired_time: 0.0000000000, propagate_forward_time: 70.4349746704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2002792358
validation[          , genome 18220] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       319.88779, best error:       319.88779 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

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_1517574602_47_18220.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_47_18220_0_r279493814_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: 0.952297
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000961811
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.84725e-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: 50
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 49
read number_validation_images: 10000
read best_validation_predictions: 9903
read best_validation_error: 319.888
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: 18220
read normal distribution: '1 -1.71489906311035 0.299295663833618'
generator_str: '857347468'
read generator: 857347468
read generated_by_map:
1 merge_node 1
reading 141 nodes.
reading 478 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: 899.524658203125s, input_fired_time: 9.67394256591797, output_fired_time: 8.41103649139404, propagate_forward_time: 348.685943603516, propagate_backward_time: 520.86279296875, weight_update_time: 0.539812386035919, other_time: 11.8909912109375
epoch time: 72.9306030273438s, input_fired_time: 1.15317714214325, output_fired_time: 0, propagate_forward_time: 69.54296875, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.23445892333984
validation[          , genome 18220] predictions:    9920/  10000 (99.20%), best:    9903/10000 (99.03%), error:       348.23911, best error:       319.88779 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 901.8605346680s, input_fired_time: 9.6561918259, output_fired_time: 8.4221487045, propagate_forward_time: 349.5246276855, propagate_backward_time: 522.3778076172, weight_update_time: 0.5414919853, other_time: 11.8797607422
epoch time: 73.9155731201s, input_fired_time: 1.1683056355, output_fired_time: 0.0000000000, propagate_forward_time: 70.5119094849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2353591919
validation[          , genome 18220] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       386.05035, best error:       319.88779 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 899.8846435547s, input_fired_time: 9.6333570480, output_fired_time: 8.4150199890, propagate_forward_time: 348.6743469238, propagate_backward_time: 521.4042358398, weight_update_time: 0.5410777330, other_time: 11.7576293945
epoch time: 72.6271362305s, input_fired_time: 1.1523478031, output_fired_time: 0.0000000000, propagate_forward_time: 69.2239990234, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2507858276
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       345.65216, best error:       319.88779 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 899.9100952148s, input_fired_time: 9.6331701279, output_fired_time: 8.3919363022, propagate_forward_time: 348.2724609375, propagate_backward_time: 521.5639648438, weight_update_time: 0.5428720713, other_time: 12.0485839844
epoch time: 73.0772781372s, input_fired_time: 1.1540176868, output_fired_time: 0.0000000000, propagate_forward_time: 69.6789550781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2443084717
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       341.75821, best error:       319.88779 on epoch:    49, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 900.3996582031s, input_fired_time: 9.6264028549, output_fired_time: 8.4485912323, propagate_forward_time: 348.4151306152, propagate_backward_time: 522.2468872070, weight_update_time: 0.5415319204, other_time: 11.6626586914
epoch time: 73.3401794434s, input_fired_time: 1.1655130386, output_fired_time: 0.0000000000, propagate_forward_time: 69.9120635986, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2626037598
validation[          , genome 18220] predictions:    9880/  10000 (98.80%), best:    9903/10000 (99.03%), error:       385.03967, best error:       319.88779 on epoch:    49, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 901.1999511719s, input_fired_time: 9.6416902542, output_fired_time: 8.4363708496, propagate_forward_time: 349.0286560059, propagate_backward_time: 522.1801147461, weight_update_time: 0.5374006629, other_time: 11.9131469727
epoch time: 73.5968170166s, input_fired_time: 1.1595474482, output_fired_time: 0.0000000000, propagate_forward_time: 70.2343902588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2028808594
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9903/10000 (99.03%), error:       333.24979, best error:       319.88779 on epoch:    49, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 897.5911865234s, input_fired_time: 9.6536884308, output_fired_time: 8.3939619064, propagate_forward_time: 347.8688659668, propagate_backward_time: 519.7069702148, weight_update_time: 0.5370442867, other_time: 11.9677124023
epoch time: 72.5361328125s, input_fired_time: 1.1547924280, output_fired_time: 0.0000000000, propagate_forward_time: 69.1378784180, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2434616089
validation[          , genome 18220] predictions:    9908/  10000 (99.08%), best:    9903/10000 (99.03%), error:       327.07596, best error:       319.88779 on epoch:    49, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 899.1133422852s, input_fired_time: 9.6314277649, output_fired_time: 8.4188804626, propagate_forward_time: 348.2581481934, propagate_backward_time: 520.7874755859, weight_update_time: 0.5415995717, other_time: 12.0174560547
epoch time: 74.2093276978s, input_fired_time: 1.1655405760, output_fired_time: 0.0000000000, propagate_forward_time: 70.7330322266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3107528687
validation[          , genome 18220] predictions:    9882/  10000 (98.82%), best:    9903/10000 (99.03%), error:       382.76050, best error:       319.88779 on epoch:    49, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 900.5941772461s, input_fired_time: 9.6342716217, output_fired_time: 8.4547147751, propagate_forward_time: 347.4792785645, propagate_backward_time: 523.1478271484, weight_update_time: 0.5417969227, other_time: 11.8780517578
epoch time: 72.9896469116s, input_fired_time: 1.1576237679, output_fired_time: 0.0000000000, propagate_forward_time: 69.5959243774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2360992432
validation[          , genome 18220] predictions:    9910/  10000 (99.10%), best:    9903/10000 (99.03%), error:       324.74869, best error:       319.88779 on epoch:    49, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 913.6377563477s, input_fired_time: 9.7722492218, output_fired_time: 8.5741186142, propagate_forward_time: 354.2045593262, propagate_backward_time: 529.3472900391, weight_update_time: 0.5495539904, other_time: 11.7395019531
epoch time: 75.4149475098s, input_fired_time: 1.1980308294, output_fired_time: 0.0000000000, propagate_forward_time: 72.0778121948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1391067505
validation[          , genome 18220] predictions:    9887/  10000 (98.87%), best:    9903/10000 (99.03%), error:       373.19577, best error:       319.88779 on epoch:    49, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 897.3406372070s, input_fired_time: 9.6325922012, output_fired_time: 8.3683109283, propagate_forward_time: 347.3735046387, propagate_backward_time: 520.1729125977, weight_update_time: 0.5372790694, other_time: 11.7933959961
epoch time: 72.7658691406s, input_fired_time: 1.1555274725, output_fired_time: 0.0000000000, propagate_forward_time: 69.4058837891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2044601440
validation[          , genome 18220] predictions:    9882/  10000 (98.82%), best:    9903/10000 (99.03%), error:       380.44940, best error:       319.88779 on epoch:    49, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 898.4328002930s, input_fired_time: 9.6726341248, output_fired_time: 8.4578142166, propagate_forward_time: 348.3624572754, propagate_backward_time: 520.0765380859, weight_update_time: 0.5374320745, other_time: 11.8634033203
epoch time: 72.7001190186s, input_fired_time: 1.1554136276, output_fired_time: 0.0000000000, propagate_forward_time: 69.3314743042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2132339478
validation[          , genome 18220] predictions:    9828/  10000 (98.28%), best:    9903/10000 (99.03%), error:       606.48016, best error:       319.88779 on epoch:    49, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 897.9146118164s, input_fired_time: 9.6394300461, output_fired_time: 8.3991184235, propagate_forward_time: 347.7352905273, propagate_backward_time: 520.2721557617, weight_update_time: 0.5341418982, other_time: 11.8686523438
epoch time: 72.8300018311s, input_fired_time: 1.1561807394, output_fired_time: 0.0000000000, propagate_forward_time: 69.4289627075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2448577881
validation[          , genome 18220] predictions:    9894/  10000 (98.94%), best:    9903/10000 (99.03%), error:       361.23578, best error:       319.88779 on epoch:    49, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 901.8869628906s, input_fired_time: 9.6812057495, output_fired_time: 8.4397306442, propagate_forward_time: 349.6920776367, propagate_backward_time: 522.1787719727, weight_update_time: 0.5353388190, other_time: 11.8951416016
epoch time: 73.8156356812s, input_fired_time: 1.1633172035, output_fired_time: 0.0000000000, propagate_forward_time: 70.4533920288, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1989288330
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9903/10000 (99.03%), error:       356.93866, best error:       319.88779 on epoch:    49, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 900.9619140625s, input_fired_time: 9.6922941208, output_fired_time: 8.4169712067, propagate_forward_time: 349.8159179688, propagate_backward_time: 521.1610107422, weight_update_time: 0.5458685160, other_time: 11.8756713867
epoch time: 72.6714172363s, input_fired_time: 1.1523883343, output_fired_time: 0.0000000000, propagate_forward_time: 69.1719970703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3470306396
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       341.63538, best error:       319.88779 on epoch:    49, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 899.9393920898s, input_fired_time: 9.6710453033, output_fired_time: 8.3844375610, propagate_forward_time: 348.7092895508, propagate_backward_time: 521.1829223633, weight_update_time: 0.5327710509, other_time: 11.9916992188
epoch time: 72.8761138916s, input_fired_time: 1.1535590887, output_fired_time: 0.0000000000, propagate_forward_time: 69.5415878296, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1809692383
validation[          , genome 18220] predictions:    9892/  10000 (98.92%), best:    9903/10000 (99.03%), error:       364.42474, best error:       319.88779 on epoch:    49, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 898.8211669922s, input_fired_time: 9.6597967148, output_fired_time: 8.3891248703, propagate_forward_time: 348.4756774902, propagate_backward_time: 520.3979492188, weight_update_time: 0.5385420918, other_time: 11.8986816406
epoch time: 72.6692123413s, input_fired_time: 1.1613351107, output_fired_time: 0.0000000000, propagate_forward_time: 69.2906188965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2172546387
validation[          , genome 18220] predictions:    9911/  10000 (99.11%), best:    9903/10000 (99.03%), error:       329.91669, best error:       319.88779 on epoch:    49, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 896.9241333008s, input_fired_time: 9.6637954712, output_fired_time: 8.4020509720, propagate_forward_time: 346.9278259277, propagate_backward_time: 520.0553588867, weight_update_time: 0.5349984765, other_time: 11.8750610352
epoch time: 72.3467483521s, input_fired_time: 1.1579141617, output_fired_time: 0.0000000000, propagate_forward_time: 68.9552459717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2335891724
validation[          , genome 18220] predictions:    9909/  10000 (99.09%), best:    9903/10000 (99.03%), error:       336.24054, best error:       319.88779 on epoch:    49, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 898.7703857422s, input_fired_time: 9.6769971848, output_fired_time: 8.4103984833, propagate_forward_time: 348.7406921387, propagate_backward_time: 519.9000244141, weight_update_time: 0.5382822156, other_time: 12.0422363281
epoch time: 74.0671615601s, input_fired_time: 1.1784459352, output_fired_time: 0.0000000000, propagate_forward_time: 70.6647872925, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2239303589
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       324.32880, best error:       319.88779 on epoch:    49, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 900.0910034180s, input_fired_time: 9.6679620743, output_fired_time: 8.4584798813, propagate_forward_time: 348.6943969727, propagate_backward_time: 521.1960449219, weight_update_time: 0.5370784998, other_time: 12.0740966797
epoch time: 73.0324172974s, input_fired_time: 1.1613206863, output_fired_time: 0.0000000000, propagate_forward_time: 69.6769332886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1941604614
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       316.27792, best error:       316.27792 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 895.4158935547s, input_fired_time: 9.6498022079, output_fired_time: 8.3717079163, propagate_forward_time: 346.8019714355, propagate_backward_time: 518.7127685547, weight_update_time: 0.5400965214, other_time: 11.8796386719
epoch time: 73.3763885498s, input_fired_time: 1.1696375608, output_fired_time: 0.0000000000, propagate_forward_time: 69.9811477661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2256011963
validation[          , genome 18220] predictions:    9907/  10000 (99.07%), best:    9904/10000 (99.04%), error:       323.92511, best error:       316.27792 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 897.1787719727s, input_fired_time: 9.6628484726, output_fired_time: 8.3672275543, propagate_forward_time: 347.4868164063, propagate_backward_time: 519.7090454102, weight_update_time: 0.5386666059, other_time: 11.9528198242
epoch time: 73.3277053833s, input_fired_time: 1.1657503843, output_fired_time: 0.0000000000, propagate_forward_time: 69.8946685791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2672882080
validation[          , genome 18220] predictions:    9902/  10000 (99.02%), best:    9904/10000 (99.04%), error:       332.95224, best error:       316.27792 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 896.3056640625s, input_fired_time: 9.6927089691, output_fired_time: 8.3502283096, propagate_forward_time: 347.5611267090, propagate_backward_time: 518.8217163086, weight_update_time: 0.5393760800, other_time: 11.8799438477
epoch time: 73.0443801880s, input_fired_time: 1.1604106426, output_fired_time: 0.0000000000, propagate_forward_time: 69.6085357666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2754364014
validation[          , genome 18220] predictions:    9896/  10000 (98.96%), best:    9904/10000 (99.04%), error:       338.12918, best error:       316.27792 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 899.4439086914s, input_fired_time: 9.6912851334, output_fired_time: 8.3912954330, propagate_forward_time: 348.3823852539, propagate_backward_time: 520.9776611328, weight_update_time: 0.5399575830, other_time: 12.0012817383
epoch time: 72.5797119141s, input_fired_time: 1.1561642885, output_fired_time: 0.0000000000, propagate_forward_time: 69.1855239868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2380218506
validation[          , genome 18220] predictions:    9903/  10000 (99.03%), best:    9903/10000 (99.03%), error:       315.66272, best error:       315.66272 on epoch:    73, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 900.1871948242s, input_fired_time: 9.6996164322, output_fired_time: 8.4291400909, propagate_forward_time: 349.0166931152, propagate_backward_time: 521.1396484375, weight_update_time: 0.5363473296, other_time: 11.9020996094
epoch time: 72.5588607788s, input_fired_time: 1.1572899818, output_fired_time: 0.0000000000, propagate_forward_time: 69.1517715454, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2498016357
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9903/10000 (99.03%), error:       358.31339, best error:       315.66272 on epoch:    73, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 898.0183715820s, input_fired_time: 9.6636333466, output_fired_time: 8.4258823395, propagate_forward_time: 347.2399902344, propagate_backward_time: 520.7040405273, weight_update_time: 0.5412784219, other_time: 11.9848022461
epoch time: 72.6716156006s, input_fired_time: 1.1607217789, output_fired_time: 0.0000000000, propagate_forward_time: 69.2722549438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2386398315
validation[          , genome 18220] predictions:    9901/  10000 (99.01%), best:    9903/10000 (99.03%), error:       334.15128, best error:       315.66272 on epoch:    73, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 899.9103393555s, input_fired_time: 9.7076568604, output_fired_time: 8.4093933105, propagate_forward_time: 348.5487365723, propagate_backward_time: 521.3352050781, weight_update_time: 0.5375896692, other_time: 11.9094238281
epoch time: 72.6863403320s, input_fired_time: 1.1631244421, output_fired_time: 0.0000000000, propagate_forward_time: 69.2846374512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2385787964
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       314.81638, best error:       314.81638 on epoch:    76, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 900.6915893555s, input_fired_time: 9.7023439407, output_fired_time: 8.4441308975, propagate_forward_time: 349.8416442871, propagate_backward_time: 520.8000488281, weight_update_time: 0.5370983481, other_time: 11.9034423828
epoch time: 73.0575485229s, input_fired_time: 1.1635137796, output_fired_time: 0.0000000000, propagate_forward_time: 69.6275711060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2664642334
validation[          , genome 18220] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       307.31424, best error:       307.31424 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 898.4355468750s, input_fired_time: 9.6846733093, output_fired_time: 8.3932723999, propagate_forward_time: 348.3834228516, propagate_backward_time: 520.0322265625, weight_update_time: 0.5400193334, other_time: 11.9419555664
epoch time: 72.4235687256s, input_fired_time: 1.1626375914, output_fired_time: 0.0000000000, propagate_forward_time: 69.0695877075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1913452148
validation[          , genome 18220] predictions:    9905/  10000 (99.05%), best:    9905/10000 (99.05%), error:       320.58087, best error:       307.31424 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 899.5108032227s, input_fired_time: 9.6980800629, output_fired_time: 8.4074964523, propagate_forward_time: 348.2783203125, propagate_backward_time: 521.2424316406, weight_update_time: 0.5464938879, other_time: 11.8845214844
epoch time: 72.0945892334s, input_fired_time: 1.1582381725, output_fired_time: 0.0000000000, propagate_forward_time: 68.7271804810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2091674805
validation[          , genome 18220] predictions:    9901/  10000 (99.01%), best:    9905/10000 (99.05%), error:       322.61298, best error:       307.31424 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 895.1458740234s, input_fired_time: 9.6679449081, output_fired_time: 8.3544492722, propagate_forward_time: 346.5311889648, propagate_backward_time: 518.6776123047, weight_update_time: 0.5371147394, other_time: 11.9146728516
epoch time: 72.7642517090s, input_fired_time: 1.1604789495, output_fired_time: 0.0000000000, propagate_forward_time: 69.3494110107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2543640137
validation[          , genome 18220] predictions:    9909/  10000 (99.09%), best:    9905/10000 (99.05%), error:       310.59732, best error:       307.31424 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 895.6872558594s, input_fired_time: 9.6555547714, output_fired_time: 8.3977260590, propagate_forward_time: 346.6481628418, propagate_backward_time: 519.1269531250, weight_update_time: 0.5347582698, other_time: 11.8588867188
epoch time: 73.2599487305s, input_fired_time: 1.1647964716, output_fired_time: 0.0000000000, propagate_forward_time: 69.8287582397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2663955688
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       307.07022, best error:       307.07022 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 897.0407714844s, input_fired_time: 9.6752214432, output_fired_time: 8.4214916229, propagate_forward_time: 346.6913757324, propagate_backward_time: 520.3313598633, weight_update_time: 0.5397571921, other_time: 11.9213256836
epoch time: 71.6979446411s, input_fired_time: 1.1594095230, output_fired_time: 0.0000000000, propagate_forward_time: 68.3269805908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2115554810
validation[          , genome 18220] predictions:    9908/  10000 (99.08%), best:    9904/10000 (99.04%), error:       314.85638, best error:       307.07022 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 899.7857666016s, input_fired_time: 9.7146902084, output_fired_time: 8.3968906403, propagate_forward_time: 348.3764038086, propagate_backward_time: 521.2754516602, weight_update_time: 0.5411503911, other_time: 12.0223388672
epoch time: 73.1556167603s, input_fired_time: 1.1689803600, output_fired_time: 0.0000000000, propagate_forward_time: 69.7305603027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2560729980
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9904/10000 (99.04%), error:       323.19846, best error:       307.07022 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 899.9865112305s, input_fired_time: 9.6954202652, output_fired_time: 8.3849916458, propagate_forward_time: 348.9895324707, propagate_backward_time: 520.9946289063, weight_update_time: 0.5448629856, other_time: 11.9218750000
epoch time: 73.1952514648s, input_fired_time: 1.1725193262, output_fired_time: 0.0000000000, propagate_forward_time: 69.8229446411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1997909546
validation[          , genome 18220] predictions:    9897/  10000 (98.97%), best:    9904/10000 (99.04%), error:       351.60306, best error:       307.07022 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 901.7377319336s, input_fired_time: 9.7280406952, output_fired_time: 8.5229444504, propagate_forward_time: 349.6726074219, propagate_backward_time: 521.8018798828, weight_update_time: 0.5394477248, other_time: 12.0122680664
epoch time: 73.9524536133s, input_fired_time: 1.1722052097, output_fired_time: 0.0000000000, propagate_forward_time: 70.5297088623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2505416870
validation[          , genome 18220] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       305.73346, best error:       305.73346 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 901.8741455078s, input_fired_time: 9.7169275284, output_fired_time: 8.4410190582, propagate_forward_time: 350.1029357910, propagate_backward_time: 521.5599365234, weight_update_time: 0.5407651067, other_time: 12.0533447266
epoch time: 72.3880081177s, input_fired_time: 1.1592582464, output_fired_time: 0.0000000000, propagate_forward_time: 68.9961853027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2325668335
validation[          , genome 18220] predictions:    9907/  10000 (99.07%), best:    9910/10000 (99.10%), error:       326.78046, best error:       305.73346 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 900.4689941406s, input_fired_time: 9.6895179749, output_fired_time: 8.4789390564, propagate_forward_time: 348.5394592285, propagate_backward_time: 521.8131103516, weight_update_time: 0.5369231105, other_time: 11.9479980469
epoch time: 72.6665344238s, input_fired_time: 1.1642290354, output_fired_time: 0.0000000000, propagate_forward_time: 69.2559509277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2463531494
validation[          , genome 18220] predictions:    9907/  10000 (99.07%), best:    9910/10000 (99.10%), error:       331.09424, best error:       305.73346 on epoch:    85, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 914.4423828125s, input_fired_time: 9.9101295471, output_fired_time: 8.5914115906, propagate_forward_time: 354.6184997559, propagate_backward_time: 529.7871093750, weight_update_time: 0.5563371778, other_time: 11.5351562500
epoch time: 72.8918457031s, input_fired_time: 1.1649477482, output_fired_time: 0.0000000000, propagate_forward_time: 69.4781036377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2487945557
validation[          , genome 18220] predictions:    9903/  10000 (99.03%), best:    9910/10000 (99.10%), error:       318.56369, best error:       305.73346 on epoch:    85, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 913.4941406250s, input_fired_time: 9.8757638931, output_fired_time: 8.5467052460, propagate_forward_time: 354.7492370605, propagate_backward_time: 528.4785766602, weight_update_time: 0.5503754020, other_time: 11.8438110352
epoch time: 75.8660125732s, input_fired_time: 1.2163127661, output_fired_time: 0.0000000000, propagate_forward_time: 72.6815795898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9681167603
validation[          , genome 18220] predictions:    9909/  10000 (99.09%), best:    9910/10000 (99.10%), error:       318.46164, best error:       305.73346 on epoch:    85, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 923.2083129883s, input_fired_time: 10.0240688324, output_fired_time: 8.6652793884, propagate_forward_time: 359.0881347656, propagate_backward_time: 534.4127197266, weight_update_time: 0.5662182570, other_time: 11.0181274414
epoch time: 74.6511917114s, input_fired_time: 1.1991478205, output_fired_time: 0.0000000000, propagate_forward_time: 71.4455566406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0064849854
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       313.42496, best error:       305.73346 on epoch:    85, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 923.9927368164s, input_fired_time: 10.0211267471, output_fired_time: 8.7269992828, propagate_forward_time: 358.9489135742, propagate_backward_time: 535.1714477539, weight_update_time: 0.5821789503, other_time: 11.1242675781
epoch time: 74.9073562622s, input_fired_time: 1.2135460377, output_fired_time: 0.0000000000, propagate_forward_time: 71.6474533081, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0463562012
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       318.49307, best error:       305.73346 on epoch:    85, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 925.5313720703s, input_fired_time: 10.0520744324, output_fired_time: 8.7203483582, propagate_forward_time: 358.9438476563, propagate_backward_time: 536.8275756836, weight_update_time: 0.5768946409, other_time: 10.9875488281
epoch time: 77.8455963135s, input_fired_time: 1.2895026207, output_fired_time: 0.0000000000, propagate_forward_time: 74.5426406860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0134506226
validation[          , genome 18220] predictions:    9906/  10000 (99.06%), best:    9910/10000 (99.10%), error:       308.94177, best error:       305.73346 on epoch:    85, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 951.1222534180s, input_fired_time: 10.3046350479, output_fired_time: 8.9780092239, propagate_forward_time: 369.6033935547, propagate_backward_time: 551.0410156250, weight_update_time: 0.5806497335, other_time: 11.1951904297
epoch time: 74.9313354492s, input_fired_time: 1.2077221870, output_fired_time: 0.0000000000, propagate_forward_time: 71.6352081299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0884017944
validation[          , genome 18220] predictions:    9905/  10000 (99.05%), best:    9910/10000 (99.10%), error:       323.27127, best error:       305.73346 on epoch:    85, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 931.6986694336s, input_fired_time: 10.1487474442, output_fired_time: 8.6966438293, propagate_forward_time: 362.2875366211, propagate_backward_time: 539.4739990234, weight_update_time: 0.5667788982, other_time: 11.0917358398
epoch time: 75.0775985718s, input_fired_time: 1.2127791643, output_fired_time: 0.0000000000, propagate_forward_time: 71.7495117188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1153106689
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       317.35675, best error:       305.73346 on epoch:    85, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 934.8426513672s, input_fired_time: 10.1620321274, output_fired_time: 8.7971038818, propagate_forward_time: 363.6926574707, propagate_backward_time: 541.0176391602, weight_update_time: 0.5653703213, other_time: 11.1731567383
epoch time: 77.2318496704s, input_fired_time: 1.2563785315, output_fired_time: 0.0000000000, propagate_forward_time: 74.0451507568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9303207397
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       309.44336, best error:       305.73346 on epoch:    85, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 944.7247924805s, input_fired_time: 10.2997636795, output_fired_time: 8.8595800400, propagate_forward_time: 368.2267456055, propagate_backward_time: 546.4077758789, weight_update_time: 0.5712507367, other_time: 10.9309692383
epoch time: 75.3398590088s, input_fired_time: 1.2226111889, output_fired_time: 0.0000000000, propagate_forward_time: 72.1040954590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0131530762
validation[          , genome 18220] predictions:    9911/  10000 (99.11%), best:    9910/10000 (99.10%), error:       312.17612, best error:       305.73346 on epoch:    85, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 937.2930908203s, input_fired_time: 10.1958265305, output_fired_time: 8.7945308685, propagate_forward_time: 365.1566467285, propagate_backward_time: 542.2634887695, weight_update_time: 0.5686414838, other_time: 10.8826293945
epoch time: 75.8395538330s, input_fired_time: 1.2304364443, output_fired_time: 0.0000000000, propagate_forward_time: 72.5882644653, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0208511353
validation[          , genome 18220] predictions:    9900/  10000 (99.00%), best:    9910/10000 (99.10%), error:       318.59109, best error:       305.73346 on epoch:    85, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 935.0675048828s, input_fired_time: 10.1524162292, output_fired_time: 8.8140373230, propagate_forward_time: 363.7976684570, propagate_backward_time: 541.5475463867, weight_update_time: 0.5716792345, other_time: 10.7558593750
epoch time: 75.7144165039s, input_fired_time: 1.2356857061, output_fired_time: 0.0000000000, propagate_forward_time: 72.5235595703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9551696777
validation[          , genome 18220] predictions:    9905/  10000 (99.05%), best:    9910/10000 (99.10%), error:       312.10791, best error:       305.73346 on epoch:    85, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 931.0122070313s, input_fired_time: 10.1438398361, output_fired_time: 8.7420244217, propagate_forward_time: 361.8657836914, propagate_backward_time: 539.4218139648, weight_update_time: 0.5726212859, other_time: 10.8387451172
epoch time: 75.3763351440s, input_fired_time: 1.2261949778, output_fired_time: 0.0000000000, propagate_forward_time: 72.1592330933, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9909057617
validation[          , genome 18220] predictions:    9906/  10000 (99.06%), best:    9910/10000 (99.10%), error:       314.55154, best error:       305.73346 on epoch:    85, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 936.7958374023s, input_fired_time: 10.1919431686, output_fired_time: 8.7948350906, propagate_forward_time: 363.6822509766, propagate_backward_time: 543.2542114258, weight_update_time: 0.5829460621, other_time: 10.8725585938
epoch time: 76.6531524658s, input_fired_time: 1.2484531403, output_fired_time: 0.0000000000, propagate_forward_time: 73.3729095459, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0317916870
validation[          , genome 18220] predictions:    9904/  10000 (99.04%), best:    9910/10000 (99.10%), error:       319.97113, best error:       305.73346 on epoch:    85, 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: 380.0778198242s, input_fired_time: 6.1911249161, output_fired_time: 0.0000000000, propagate_forward_time: 363.7676696777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.1190185547
best training[          , genome 18220] predictions:   49999/  50000 (100.00%), best:    9910/10000 (99.10%), error:        93.76321, best error:       305.73346 on epoch:    85, 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: 75.7212295532s, input_fired_time: 1.2209228277, output_fired_time: 0.0000000000, propagate_forward_time: 72.5097503662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9905548096
   testing[          , genome 18220] predictions:    9916/  10000 (99.16%), best:    9910/10000 (99.10%), error:       261.73987, best error:       305.73346 on epoch:    85, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
14:54:20 (1252): called boinc_finish(0)

</stderr_txt>
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