Nameexact_genome_1542365403_182_6073_3
Workunit4092802
Created16 Nov 2018, 15:46:11 UTC
Sent16 Nov 2018, 15:52:11 UTC
Report deadline9 Jan 2019, 22:19:39 UTC
Received17 Dec 2018, 10:18:10 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time1 days 6 hours 8 min 48 sec
CPU time1 days 0 hours 24 min 15 sec
Validate stateValid
Credit13,567.27
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size515.17 MB
Peak swap size536.64 MB
Peak disk usage7.63 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
021853063, weight_decay: 0.0000874123

epoch time: 883.2502441406s, input_fired_time: 8.4387416840, output_fired_time: 6.4306721687, propagate_forward_time: 331.0707702637, propagate_backward_time: 524.5119628906, weight_update_time: 2.9931819439, other_time: 12.7980957031
epoch time: 78.9641723633s, input_fired_time: 1.2518270016, output_fired_time: 0.0000000000, propagate_forward_time: 75.4965972900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2157516479
validation[          , genome  6073] predictions:    5784/  10000 (57.84%), best:    5784/10000 (57.84%), error:     12709.71094, best error:     12709.71094 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1069.9681396484s, input_fired_time: 10.7505655289, output_fired_time: 7.6262922287, propagate_forward_time: 393.5781555176, propagate_backward_time: 641.6118164063, weight_update_time: 3.7388179302, other_time: 16.4012451172
epoch time: 77.2754440308s, input_fired_time: 1.2254835367, output_fired_time: 0.0000000000, propagate_forward_time: 73.8817596436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1681976318
validation[          , genome  6073] predictions:    5554/  10000 (55.54%), best:    5784/10000 (57.84%), error:     14066.83984, best error:     12709.71094 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 902.4103393555s, input_fired_time: 8.6086673737, output_fired_time: 6.6812820435, propagate_forward_time: 337.9842834473, propagate_backward_time: 535.5695800781, weight_update_time: 3.1214940548, other_time: 13.5665283203
epoch time: 66.2342758179s, input_fired_time: 1.0788993835, output_fired_time: 0.0000000000, propagate_forward_time: 63.2769622803, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8784179688
validation[          , genome  6073] predictions:    5516/  10000 (55.16%), best:    5784/10000 (57.84%), error:     13865.47266, best error:     12709.71094 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 850.3498535156s, input_fired_time: 8.3407850266, output_fired_time: 6.2563281059, propagate_forward_time: 317.5632934570, propagate_backward_time: 505.6607971191, weight_update_time: 2.8686015606, other_time: 12.5286560059
epoch time: 70.2931213379s, input_fired_time: 1.2259231806, output_fired_time: 0.0000000000, propagate_forward_time: 67.0920867920, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9751129150
validation[          , genome  6073] predictions:    5593/  10000 (55.93%), best:    5784/10000 (57.84%), error:     13077.40918, best error:     12709.71094 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1049.9613037109s, input_fired_time: 10.5296888351, output_fired_time: 7.9766254425, propagate_forward_time: 385.7482604980, propagate_backward_time: 629.4833374023, weight_update_time: 3.7543973923, other_time: 16.2233276367
epoch time: 68.6589279175s, input_fired_time: 1.1019285917, output_fired_time: 0.0000000000, propagate_forward_time: 65.5950393677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9619598389
validation[          , genome  6073] predictions:    5592/  10000 (55.92%), best:    5784/10000 (57.84%), error:     13558.16113, best error:     12709.71094 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 908.9391479492s, input_fired_time: 9.0090446472, output_fired_time: 6.6651988029, propagate_forward_time: 339.9844055176, propagate_backward_time: 540.1953735352, weight_update_time: 3.0623848438, other_time: 13.0851440430
epoch time: 82.1627960205s, input_fired_time: 1.3653217554, output_fired_time: 0.0000000000, propagate_forward_time: 78.4399337769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3575439453
validation[          , genome  6073] predictions:    5662/  10000 (56.62%), best:    5784/10000 (57.84%), error:     13001.81641, best error:     12709.71094 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1038.1202392578s, input_fired_time: 10.3572111130, output_fired_time: 7.6366562843, propagate_forward_time: 382.4901123047, propagate_backward_time: 622.8397216797, weight_update_time: 3.3126502037, other_time: 14.7965698242
epoch time: 66.7588195801s, input_fired_time: 1.0924122334, output_fired_time: 0.0000000000, propagate_forward_time: 63.8266906738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8397140503
validation[          , genome  6073] predictions:    5641/  10000 (56.41%), best:    5784/10000 (57.84%), error:     13236.86816, best error:     12709.71094 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 894.8698730469s, input_fired_time: 8.7200336456, output_fired_time: 6.5452356339, propagate_forward_time: 333.0455627441, propagate_backward_time: 533.6942138672, weight_update_time: 2.9894390106, other_time: 12.8648681641
epoch time: 80.6801376343s, input_fired_time: 1.3280757666, output_fired_time: 0.0000000000, propagate_forward_time: 76.8669433594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4851150513
validation[          , genome  6073] predictions:    5737/  10000 (57.37%), best:    5784/10000 (57.84%), error:     13190.37793, best error:     12709.71094 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1053.5644531250s, input_fired_time: 10.7548036575, output_fired_time: 7.6241636276, propagate_forward_time: 386.9494628906, propagate_backward_time: 632.5309448242, weight_update_time: 3.4659132957, other_time: 15.7051391602
epoch time: 74.3558807373s, input_fired_time: 1.2074290514, output_fired_time: 0.0000000000, propagate_forward_time: 71.0426483154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1058044434
validation[          , genome  6073] predictions:    5730/  10000 (57.30%), best:    5784/10000 (57.84%), error:     12750.60742, best error:     12709.71094 on epoch:    35, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 880.8005981445s, input_fired_time: 8.6619367599, output_fired_time: 6.3358821869, propagate_forward_time: 329.1015014648, propagate_backward_time: 524.1945800781, weight_update_time: 2.8960845470, other_time: 12.5067138672
epoch time: 80.3216705322s, input_fired_time: 1.4511522055, output_fired_time: 0.0000000000, propagate_forward_time: 76.6056060791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2649154663
validation[          , genome  6073] predictions:    5622/  10000 (56.22%), best:    5784/10000 (57.84%), error:     13491.14160, best error:     12709.71094 on epoch:    35, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 880.2456054688s, input_fired_time: 8.6114139557, output_fired_time: 6.5795264244, propagate_forward_time: 327.9277648926, propagate_backward_time: 524.2166137695, weight_update_time: 3.0853700638, other_time: 12.9103393555
epoch time: 81.9756851196s, input_fired_time: 1.5068738461, output_fired_time: 0.0000000000, propagate_forward_time: 78.1752014160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2936096191
validation[          , genome  6073] predictions:    5824/  10000 (58.24%), best:    5824/10000 (58.24%), error:     12589.31641, best error:     12589.31641 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1041.3015136719s, input_fired_time: 10.4082851410, output_fired_time: 7.7680106163, propagate_forward_time: 382.0345458984, propagate_backward_time: 624.7178955078, weight_update_time: 3.6469731331, other_time: 16.3727416992
epoch time: 68.7138824463s, input_fired_time: 1.1017612219, output_fired_time: 0.0000000000, propagate_forward_time: 65.5178985596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0942230225
validation[          , genome  6073] predictions:    5700/  10000 (57.00%), best:    5824/10000 (58.24%), error:     13048.39453, best error:     12589.31641 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 881.7652587891s, input_fired_time: 8.5830373764, output_fired_time: 6.5229215622, propagate_forward_time: 328.6783752441, propagate_backward_time: 525.0475463867, weight_update_time: 2.9300382137, other_time: 12.9334106445
epoch time: 84.0565185547s, input_fired_time: 1.4597703218, output_fired_time: 0.0000000000, propagate_forward_time: 80.0849609375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5117874146
validation[          , genome  6073] predictions:    5920/  10000 (59.20%), best:    5920/10000 (59.20%), error:     12306.43848, best error:     12306.43848 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1047.8726806641s, input_fired_time: 10.5682468414, output_fired_time: 7.7027778625, propagate_forward_time: 385.4559326172, propagate_backward_time: 628.8251953125, weight_update_time: 3.5512664318, other_time: 15.3205566406
epoch time: 65.9553604126s, input_fired_time: 1.0753778219, output_fired_time: 0.0000000000, propagate_forward_time: 63.0734596252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8065223694
validation[          , genome  6073] predictions:    5682/  10000 (56.82%), best:    5920/10000 (59.20%), error:     13006.37793, best error:     12306.43848 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 866.0596923828s, input_fired_time: 8.5187759399, output_fired_time: 6.4031715393, propagate_forward_time: 323.7189025879, propagate_backward_time: 515.0888671875, weight_update_time: 2.8841521740, other_time: 12.3299560547
epoch time: 68.1135253906s, input_fired_time: 1.1110306978, output_fired_time: 0.0000000000, propagate_forward_time: 65.0862503052, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9162445068
validation[          , genome  6073] predictions:    5765/  10000 (57.65%), best:    5920/10000 (59.20%), error:     12728.51953, best error:     12306.43848 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 942.6085815430s, input_fired_time: 9.3967237473, output_fired_time: 7.0005059242, propagate_forward_time: 351.3176574707, propagate_backward_time: 560.7018432617, weight_update_time: 3.1658754349, other_time: 14.1918334961
epoch time: 83.9573059082s, input_fired_time: 1.3293068409, output_fired_time: 0.0000000000, propagate_forward_time: 80.0090103149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6189880371
validation[          , genome  6073] predictions:    5882/  10000 (58.82%), best:    5920/10000 (59.20%), error:     12443.00586, best error:     12306.43848 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1087.2644042969s, input_fired_time: 11.0034360886, output_fired_time: 7.8497347832, propagate_forward_time: 398.7366027832, propagate_backward_time: 653.3397827148, weight_update_time: 3.7464294434, other_time: 16.3348999023
epoch time: 82.6598587036s, input_fired_time: 1.4772839546, output_fired_time: 0.0000000000, propagate_forward_time: 78.8092193604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3733520508
validation[          , genome  6073] predictions:    5765/  10000 (57.65%), best:    5920/10000 (59.20%), error:     12968.58203, best error:     12306.43848 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1021.3521728516s, input_fired_time: 10.4196910858, output_fired_time: 7.4418778419, propagate_forward_time: 376.6557006836, propagate_backward_time: 611.6036376953, weight_update_time: 3.3509342670, other_time: 15.2312622070
epoch time: 68.8084106445s, input_fired_time: 1.1504948139, output_fired_time: 0.0000000000, propagate_forward_time: 65.7629776001, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8949356079
validation[          , genome  6073] predictions:    5853/  10000 (58.53%), best:    5920/10000 (59.20%), error:     12432.71289, best error:     12306.43848 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 932.0666503906s, input_fired_time: 9.0710611343, output_fired_time: 6.7598471642, propagate_forward_time: 346.3725891113, propagate_backward_time: 556.2551879883, weight_update_time: 3.0971164703, other_time: 13.6079711914
epoch time: 85.4993896484s, input_fired_time: 1.3668721914, output_fired_time: 0.0000000000, propagate_forward_time: 81.7340927124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3984222412
validation[          , genome  6073] predictions:    5891/  10000 (58.91%), best:    5920/10000 (59.20%), error:     12438.56250, best error:     12306.43848 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1438.3498535156s, input_fired_time: 15.2418775558, output_fired_time: 11.3057870865, propagate_forward_time: 519.2800292969, propagate_backward_time: 869.5272216797, weight_update_time: 5.2531108856, other_time: 22.9949951172
epoch time: 141.7947235107s, input_fired_time: 2.7519125938, output_fired_time: 0.0000000000, propagate_forward_time: 134.0210876465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0217285156
validation[          , genome  6073] predictions:    5774/  10000 (57.74%), best:    5920/10000 (59.20%), error:     12636.91309, best error:     12306.43848 on epoch:    47, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1876.8295898438s, input_fired_time: 20.6118927002, output_fired_time: 14.4636335373, propagate_forward_time: 676.1998901367, propagate_backward_time: 1133.3806152344, weight_update_time: 6.3491315842, other_time: 32.1735839844
epoch time: 185.3661651611s, input_fired_time: 3.5131406784, output_fired_time: 0.0000000000, propagate_forward_time: 175.5614776611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.2915496826
validation[          , genome  6073] predictions:    5959/  10000 (59.59%), best:    5959/10000 (59.59%), error:     12159.04883, best error:     12159.04883 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1880.9110107422s, input_fired_time: 20.0789394379, output_fired_time: 15.6150913239, propagate_forward_time: 674.5217285156, propagate_backward_time: 1139.5607910156, weight_update_time: 6.4842286110, other_time: 31.1343994141
epoch time: 138.9018859863s, input_fired_time: 2.4291329384, output_fired_time: 0.0000000000, propagate_forward_time: 131.4796752930, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9930725098
validation[          , genome  6073] predictions:    5693/  10000 (56.93%), best:    5959/10000 (59.59%), error:     12859.48633, best error:     12159.04883 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 2415.3835449219s, input_fired_time: 30.2957572937, output_fired_time: 19.3108291626, propagate_forward_time: 864.1527709961, propagate_backward_time: 1462.2977294922, weight_update_time: 7.7134399414, other_time: 39.3265380859
epoch time: 137.7166595459s, input_fired_time: 2.5594546795, output_fired_time: 0.0000000000, propagate_forward_time: 130.4624633789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6947479248
validation[          , genome  6073] predictions:    5764/  10000 (57.64%), best:    5959/10000 (59.59%), error:     13114.05273, best error:     12159.04883 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1802.0749511719s, input_fired_time: 20.1014766693, output_fired_time: 14.5254049301, propagate_forward_time: 651.8031005859, propagate_backward_time: 1085.0427246094, weight_update_time: 6.2305321693, other_time: 30.6022949219
epoch time: 117.1698989868s, input_fired_time: 2.5548267365, output_fired_time: 0.0000000000, propagate_forward_time: 110.8290939331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7859802246
validation[          , genome  6073] predictions:    5869/  10000 (58.69%), best:    5959/10000 (59.59%), error:     12417.85059, best error:     12159.04883 on epoch:    55, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1484.0125732422s, input_fired_time: 15.0378665924, output_fired_time: 12.2276639938, propagate_forward_time: 539.7116699219, propagate_backward_time: 893.6779785156, weight_update_time: 4.4380006790, other_time: 23.3574218750
epoch time: 105.2909851074s, input_fired_time: 1.8273316622, output_fired_time: 0.0000000000, propagate_forward_time: 100.2814407349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1822128296
validation[          , genome  6073] predictions:    5832/  10000 (58.32%), best:    5959/10000 (59.59%), error:     12579.43652, best error:     12159.04883 on epoch:    55, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1311.2082519531s, input_fired_time: 13.3116397858, output_fired_time: 9.7919902802, propagate_forward_time: 486.7684020996, propagate_backward_time: 780.3393554688, weight_update_time: 4.5046038628, other_time: 20.9968261719
epoch time: 75.5115280151s, input_fired_time: 1.3458331823, output_fired_time: 0.0000000000, propagate_forward_time: 71.9333572388, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2323379517
validation[          , genome  6073] predictions:    5789/  10000 (57.89%), best:    5959/10000 (59.59%), error:     12505.56152, best error:     12159.04883 on epoch:    55, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073_3_r382623386_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: 0.968555
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000547078
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.18831e-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: 61
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 55
read number_validation_images: 10000
read best_validation_predictions: 5959
read best_validation_error: 12159
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: 6073
read normal distribution: '0 -0.156895831227303 -0.491618067026138'
generator_str: '11709151'
read generator: 11709151
read generated_by_map:
1 add_node 1
reading 58 nodes.
reading 190 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1221.73474121094s, input_fired_time: 12.2574157714844, output_fired_time: 9.09782791137695, propagate_forward_time: 447.772155761719, propagate_backward_time: 732.700622558594, weight_update_time: 4.22478914260864, other_time: 19.90673828125
epoch time: 142.501037597656s, input_fired_time: 2.02042460441589, output_fired_time: 0, propagate_forward_time: 136.011291503906, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.46931457519531
validation[          , genome  6073] predictions:    5934/  10000 (59.34%), best:    5934/10000 (59.34%), error:     12099.54492, best error:     12099.54492 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1438.0023193359s, input_fired_time: 14.8811693192, output_fired_time: 10.9263696671, propagate_forward_time: 533.2094116211, propagate_backward_time: 856.7790527344, weight_update_time: 4.7433423996, other_time: 22.2062377930
epoch time: 102.0360336304s, input_fired_time: 1.6047484875, output_fired_time: 0.0000000000, propagate_forward_time: 97.3512420654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0800399780
validation[          , genome  6073] predictions:    5841/  10000 (58.41%), best:    5934/10000 (59.34%), error:     12669.37109, best error:     12099.54492 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073_3_r382623386_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: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-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: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 61
read number_validation_images: 10000
read best_validation_predictions: 5934
read best_validation_error: 12099.5
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: 6073
read normal distribution: '0 -0.156895831227303 -0.491618067026138'
generator_str: '48384710'
read generator: 48384710
read generated_by_map:
1 add_node 1
reading 58 nodes.
reading 190 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 898.925476074219s, input_fired_time: 9.02511501312256, output_fired_time: 6.72353935241699, propagate_forward_time: 334.236022949219, propagate_backward_time: 535.909301757813, weight_update_time: 3.02412462234497, other_time: 13.0315551757813
epoch time: 69.4449005126953s, input_fired_time: 1.15927124023438, output_fired_time: 0, propagate_forward_time: 66.2899932861328, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.99563598632813
validation[          , genome  6073] predictions:    5945/  10000 (59.45%), best:    5934/10000 (59.34%), error:     12276.53320, best error:     12099.54492 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1160.6604003906s, input_fired_time: 11.8418827057, output_fired_time: 8.8991556168, propagate_forward_time: 423.6796569824, propagate_backward_time: 698.4317626953, weight_update_time: 3.8234038353, other_time: 17.8078613281
epoch time: 67.8998031616s, input_fired_time: 1.1572080851, output_fired_time: 0.0000000000, propagate_forward_time: 64.7796249390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9629669189
validation[          , genome  6073] predictions:    5930/  10000 (59.30%), best:    5934/10000 (59.34%), error:     12450.69043, best error:     12099.54492 on epoch:    61, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 889.4500122070s, input_fired_time: 9.1284675598, output_fired_time: 6.5470466614, propagate_forward_time: 328.2756042480, propagate_backward_time: 532.4648437500, weight_update_time: 2.9751510620, other_time: 13.0340576172
epoch time: 67.8065109253s, input_fired_time: 1.1608872414, output_fired_time: 0.0000000000, propagate_forward_time: 64.6632385254, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9823837280
validation[          , genome  6073] predictions:    5956/  10000 (59.56%), best:    5934/10000 (59.34%), error:     12192.91406, best error:     12099.54492 on epoch:    61, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 875.6599731445s, input_fired_time: 8.9498844147, output_fired_time: 6.4938340187, propagate_forward_time: 323.9458618164, propagate_backward_time: 523.4549560547, weight_update_time: 2.9238998890, other_time: 12.8154296875
epoch time: 67.7281188965s, input_fired_time: 1.1612302065, output_fired_time: 0.0000000000, propagate_forward_time: 64.6531982422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9136886597
validation[          , genome  6073] predictions:    5773/  10000 (57.73%), best:    5934/10000 (59.34%), error:     12460.42871, best error:     12099.54492 on epoch:    61, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 861.8887939453s, input_fired_time: 8.8125228882, output_fired_time: 6.4511880875, propagate_forward_time: 317.7768859863, propagate_backward_time: 515.7409057617, weight_update_time: 2.9766123295, other_time: 13.1073608398
epoch time: 62.2748527527s, input_fired_time: 1.0848256350, output_fired_time: 0.0000000000, propagate_forward_time: 59.2796897888, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9103355408
validation[          , genome  6073] predictions:    5962/  10000 (59.62%), best:    5934/10000 (59.34%), error:     12368.57813, best error:     12099.54492 on epoch:    61, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 813.8237915039s, input_fired_time: 8.3264417648, output_fired_time: 6.0597748756, propagate_forward_time: 296.9112243652, propagate_backward_time: 490.2055664063, weight_update_time: 2.7654893398, other_time: 12.3208312988
epoch time: 62.3549079895s, input_fired_time: 1.0799840689, output_fired_time: 0.0000000000, propagate_forward_time: 59.4116554260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8632698059
validation[          , genome  6073] predictions:    5853/  10000 (58.53%), best:    5934/10000 (59.34%), error:     12471.22852, best error:     12099.54492 on epoch:    61, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 814.8278808594s, input_fired_time: 8.3785362244, output_fired_time: 6.0215730667, propagate_forward_time: 297.2377624512, propagate_backward_time: 491.0999145508, weight_update_time: 2.7582619190, other_time: 12.0901184082
epoch time: 62.2868537903s, input_fired_time: 1.0774213076, output_fired_time: 0.0000000000, propagate_forward_time: 59.4047584534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8046722412
validation[          , genome  6073] predictions:    5941/  10000 (59.41%), best:    5934/10000 (59.34%), error:     12356.02246, best error:     12099.54492 on epoch:    61, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 814.1691284180s, input_fired_time: 8.3697366714, output_fired_time: 5.9975447655, propagate_forward_time: 297.3406372070, propagate_backward_time: 490.4324951172, weight_update_time: 2.7669842243, other_time: 12.0286865234
epoch time: 62.2523918152s, input_fired_time: 1.0858891010, output_fired_time: 0.0000000000, propagate_forward_time: 59.3510551453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8154487610
validation[          , genome  6073] predictions:    6006/  10000 (60.06%), best:    5934/10000 (59.34%), error:     12120.01953, best error:     12099.54492 on epoch:    61, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 813.5842895508s, input_fired_time: 8.3457517624, output_fired_time: 6.0232224464, propagate_forward_time: 296.8716125488, propagate_backward_time: 490.1489257813, weight_update_time: 2.7722170353, other_time: 12.1947937012
epoch time: 62.1447372437s, input_fired_time: 1.0795335770, output_fired_time: 0.0000000000, propagate_forward_time: 59.1550559998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9101486206
validation[          , genome  6073] predictions:    5966/  10000 (59.66%), best:    5934/10000 (59.34%), error:     12164.12500, best error:     12099.54492 on epoch:    61, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 812.3036499023s, input_fired_time: 8.3324441910, output_fired_time: 6.0314550400, propagate_forward_time: 295.5534362793, propagate_backward_time: 490.0350341797, weight_update_time: 2.7395370007, other_time: 12.3512878418
epoch time: 62.2187538147s, input_fired_time: 1.1082116365, output_fired_time: 0.0000000000, propagate_forward_time: 59.2241210938, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8864212036
validation[          , genome  6073] predictions:    5989/  10000 (59.89%), best:    5934/10000 (59.34%), error:     12133.41699, best error:     12099.54492 on epoch:    61, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 813.2595214844s, input_fired_time: 8.3831157684, output_fired_time: 6.0404543877, propagate_forward_time: 296.1964111328, propagate_backward_time: 490.4264831543, weight_update_time: 2.7649056911, other_time: 12.2130432129
epoch time: 62.6450271606s, input_fired_time: 1.0955662727, output_fired_time: 0.0000000000, propagate_forward_time: 59.6949539185, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8545074463
validation[          , genome  6073] predictions:    5965/  10000 (59.65%), best:    5934/10000 (59.34%), error:     12383.24121, best error:     12099.54492 on epoch:    61, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 812.3701782227s, input_fired_time: 8.3627405167, output_fired_time: 6.0005450249, propagate_forward_time: 296.2561340332, propagate_backward_time: 489.7067871094, weight_update_time: 2.7516250610, other_time: 12.0439758301
epoch time: 62.1035232544s, input_fired_time: 1.0698772669, output_fired_time: 0.0000000000, propagate_forward_time: 59.2260551453, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8075904846
validation[          , genome  6073] predictions:    6005/  10000 (60.05%), best:    5934/10000 (59.34%), error:     12191.64648, best error:     12099.54492 on epoch:    61, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 805.8446044922s, input_fired_time: 8.2493276596, output_fired_time: 5.9547691345, propagate_forward_time: 289.2448425293, propagate_backward_time: 490.4795227051, weight_update_time: 2.7596664429, other_time: 11.9161376953
epoch time: 71.8570632935s, input_fired_time: 1.2632817030, output_fired_time: 0.0000000000, propagate_forward_time: 68.3991470337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1946334839
validation[          , genome  6073] predictions:    5994/  10000 (59.94%), best:    5994/10000 (59.94%), error:     11982.83789, best error:     11982.83789 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 919.1885986328s, input_fired_time: 9.6637229919, output_fired_time: 6.9041571617, propagate_forward_time: 333.0468750000, propagate_backward_time: 555.2566528320, weight_update_time: 3.1164312363, other_time: 14.3171997070
epoch time: 72.7855987549s, input_fired_time: 1.3278112411, output_fired_time: 0.0000000000, propagate_forward_time: 69.2547302246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2030563354
validation[          , genome  6073] predictions:    5914/  10000 (59.14%), best:    5994/10000 (59.94%), error:     12326.37891, best error:     11982.83789 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 888.7819213867s, input_fired_time: 9.2685489655, output_fired_time: 6.7000145912, propagate_forward_time: 320.1012268066, propagate_backward_time: 538.7215576172, weight_update_time: 3.0720200539, other_time: 13.9906005859
epoch time: 69.0764465332s, input_fired_time: 1.1955986023, output_fired_time: 0.0000000000, propagate_forward_time: 65.6724472046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2083969116
validation[          , genome  6073] predictions:    6012/  10000 (60.12%), best:    5994/10000 (59.94%), error:     11995.39160, best error:     11982.83789 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 874.3109741211s, input_fired_time: 9.2024049759, output_fired_time: 6.5659632683, propagate_forward_time: 313.6990051270, propagate_backward_time: 531.2967529297, weight_update_time: 2.9694871902, other_time: 13.5468750000
epoch time: 62.7156639099s, input_fired_time: 1.1168025732, output_fired_time: 0.0000000000, propagate_forward_time: 59.6204223633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9784393311
validation[          , genome  6073] predictions:    6061/  10000 (60.61%), best:    6061/10000 (60.61%), error:     11969.05273, best error:     11969.05273 on epoch:    78, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 848.5573120117s, input_fired_time: 8.8718891144, output_fired_time: 6.2967166901, propagate_forward_time: 304.3501892090, propagate_backward_time: 515.7774047852, weight_update_time: 2.9227592945, other_time: 13.2611694336
epoch time: 74.8264312744s, input_fired_time: 1.3214144707, output_fired_time: 0.0000000000, propagate_forward_time: 71.0614166260, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4436035156
validation[          , genome  6073] predictions:    6040/  10000 (60.40%), best:    6061/10000 (60.61%), error:     12043.21777, best error:     11969.05273 on epoch:    78, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1601.9249267578s, input_fired_time: 17.4814033508, output_fired_time: 12.2024240494, propagate_forward_time: 582.9962768555, propagate_backward_time: 963.4644775391, weight_update_time: 5.4253892899, other_time: 25.7803344727
epoch time: 148.2707977295s, input_fired_time: 2.7375938892, output_fired_time: 0.0000000000, propagate_forward_time: 139.8677978516, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6654052734
validation[          , genome  6073] predictions:    6122/  10000 (61.22%), best:    6122/10000 (61.22%), error:     11927.17188, best error:     11927.17188 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

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/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_182_6073_3_r382623386_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: 0.982312
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00019612
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.84479e-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: 81
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 80
read number_validation_images: 10000
read best_validation_predictions: 6122
read best_validation_error: 11927.2
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: 6073
read normal distribution: '0 -0.156895831227303 -0.491618067026138'
generator_str: '2127681578'
read generator: 2127681578
read generated_by_map:
1 add_node 1
reading 58 nodes.
reading 190 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
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: 3x32x32 = 3072
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: 3
width: 32
height: 32
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: 3x32x32 = 3072
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
loaded images
starting backpropagation!
epoch time: 1212.35144042969s, input_fired_time: 12.880916595459, output_fired_time: 9.05525302886963, propagate_forward_time: 439.549285888672, propagate_backward_time: 732.299865722656, weight_update_time: 4.13746786117554, other_time: 18.5661010742188
epoch time: 90.9311370849609s, input_fired_time: 1.68194198608398, output_fired_time: 0, propagate_forward_time: 86.2178649902344, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.03132629394531
validation[          , genome  6073] predictions:    6080/  10000 (60.80%), best:    6080/10000 (60.80%), error:     11869.14648, best error:     11869.14648 on epoch:    81, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1103.5672607422s, input_fired_time: 11.1252641678, output_fired_time: 8.3178844452, propagate_forward_time: 403.8035888672, propagate_backward_time: 663.8099975586, weight_update_time: 3.5708622932, other_time: 16.5105590820
epoch time: 70.4886932373s, input_fired_time: 1.2131655216, output_fired_time: 0.0000000000, propagate_forward_time: 67.1826019287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0929260254
validation[          , genome  6073] predictions:    6037/  10000 (60.37%), best:    6080/10000 (60.80%), error:     11932.44629, best error:     11869.14648 on epoch:    81, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 851.9819946289s, input_fired_time: 8.7588157654, output_fired_time: 6.3410406113, propagate_forward_time: 311.8199768066, propagate_backward_time: 512.1181030273, weight_update_time: 2.8685581684, other_time: 12.9440307617
epoch time: 61.4840660095s, input_fired_time: 1.0731098652, output_fired_time: 0.0000000000, propagate_forward_time: 58.5450973511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8658599854
validation[          , genome  6073] predictions:    6026/  10000 (60.26%), best:    6080/10000 (60.80%), error:     11988.23438, best error:     11869.14648 on epoch:    81, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 807.3434448242s, input_fired_time: 8.3519315720, output_fired_time: 6.0171961784, propagate_forward_time: 293.6248779297, propagate_backward_time: 487.0300292969, weight_update_time: 2.7187306881, other_time: 12.3193969727
epoch time: 61.6694412231s, input_fired_time: 1.0879635811, output_fired_time: 0.0000000000, propagate_forward_time: 58.7453536987, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8361244202
validation[          , genome  6073] predictions:    6072/  10000 (60.72%), best:    6080/10000 (60.80%), error:     12021.64258, best error:     11869.14648 on epoch:    81, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 797.7335815430s, input_fired_time: 8.2880067825, output_fired_time: 5.9837956429, propagate_forward_time: 288.3766784668, propagate_backward_time: 482.9534301758, weight_update_time: 2.7192900181, other_time: 12.1316223145
epoch time: 57.5524559021s, input_fired_time: 1.0324496031, output_fired_time: 0.0000000000, propagate_forward_time: 54.6910018921, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8290061951
validation[          , genome  6073] predictions:    6035/  10000 (60.35%), best:    6080/10000 (60.80%), error:     12112.06445, best error:     11869.14648 on epoch:    81, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 760.3312377930s, input_fired_time: 7.9542737007, output_fired_time: 5.6516675949, propagate_forward_time: 265.0106506348, propagate_backward_time: 470.0187072754, weight_update_time: 2.6398711205, other_time: 11.6959228516
epoch time: 55.6938896179s, input_fired_time: 1.0099296570, output_fired_time: 0.0000000000, propagate_forward_time: 52.9074783325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7764816284
validation[          , genome  6073] predictions:    6017/  10000 (60.17%), best:    6080/10000 (60.80%), error:     12137.70996, best error:     11869.14648 on epoch:    81, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 760.0850219727s, input_fired_time: 7.9510197639, output_fired_time: 5.6298594475, propagate_forward_time: 265.0091857910, propagate_backward_time: 469.9954528809, weight_update_time: 2.6342606544, other_time: 11.4994506836
epoch time: 54.5917968750s, input_fired_time: 0.9967790842, output_fired_time: 0.0000000000, propagate_forward_time: 51.8840599060, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7109565735
validation[          , genome  6073] predictions:    5982/  10000 (59.82%), best:    6080/10000 (60.80%), error:     12243.94531, best error:     11869.14648 on epoch:    81, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 746.4812622070s, input_fired_time: 7.8162455559, output_fired_time: 5.5215206146, propagate_forward_time: 257.7597961426, propagate_backward_time: 464.1389465332, weight_update_time: 2.6009652615, other_time: 11.2447509766
epoch time: 54.9027214050s, input_fired_time: 1.0102183819, output_fired_time: 0.0000000000, propagate_forward_time: 52.1700897217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7224121094
validation[          , genome  6073] predictions:    6075/  10000 (60.75%), best:    6080/10000 (60.80%), error:     11990.06738, best error:     11869.14648 on epoch:    81, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 746.2441406250s, input_fired_time: 7.8172311783, output_fired_time: 5.5023026466, propagate_forward_time: 257.9693908691, propagate_backward_time: 463.7666320801, weight_update_time: 2.5910611153, other_time: 11.1885375977
epoch time: 54.0808830261s, input_fired_time: 1.0060483217, output_fired_time: 0.0000000000, propagate_forward_time: 51.3694992065, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7053337097
validation[          , genome  6073] predictions:    6095/  10000 (60.95%), best:    6095/10000 (60.95%), error:     11772.00000, best error:     11772.00000 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 747.1771850586s, input_fired_time: 7.8283057213, output_fired_time: 5.5173807144, propagate_forward_time: 258.1994628906, propagate_backward_time: 464.4879760742, weight_update_time: 2.6042850018, other_time: 11.1440429688
epoch time: 54.0766372681s, input_fired_time: 0.9992585778, output_fired_time: 0.0000000000, propagate_forward_time: 51.4096183777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6677589417
validation[          , genome  6073] predictions:    6105/  10000 (61.05%), best:    6095/10000 (60.95%), error:     11873.61035, best error:     11772.00000 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 746.5773315430s, input_fired_time: 7.8220114708, output_fired_time: 5.4969677925, propagate_forward_time: 257.8716735840, propagate_backward_time: 464.3216247559, weight_update_time: 2.5985391140, other_time: 11.0650634766
epoch time: 53.8861083984s, input_fired_time: 0.9902311563, output_fired_time: 0.0000000000, propagate_forward_time: 51.2158355713, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6800422668
validation[          , genome  6073] predictions:    6074/  10000 (60.74%), best:    6095/10000 (60.95%), error:     11824.33496, best error:     11772.00000 on epoch:    89, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 745.8388061523s, input_fired_time: 7.8211936951, output_fired_time: 5.5134906769, propagate_forward_time: 257.3150024414, propagate_backward_time: 464.0878295898, weight_update_time: 2.6093194485, other_time: 11.1013183594
epoch time: 53.9936294556s, input_fired_time: 0.9965603948, output_fired_time: 0.0000000000, propagate_forward_time: 51.3325080872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6645622253
validation[          , genome  6073] predictions:    6020/  10000 (60.20%), best:    6095/10000 (60.95%), error:     12024.95215, best error:     11772.00000 on epoch:    89, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 745.0320434570s, input_fired_time: 7.8152437210, output_fired_time: 5.4977617264, propagate_forward_time: 256.7823486328, propagate_backward_time: 463.8460998535, weight_update_time: 2.5998811722, other_time: 11.0906066895
epoch time: 54.3177490234s, input_fired_time: 1.0003585815, output_fired_time: 0.0000000000, propagate_forward_time: 51.6480407715, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6693496704
validation[          , genome  6073] predictions:    6053/  10000 (60.53%), best:    6095/10000 (60.95%), error:     11910.64355, best error:     11772.00000 on epoch:    89, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 748.9575805664s, input_fired_time: 7.8351044655, output_fired_time: 5.5249934196, propagate_forward_time: 259.0985412598, propagate_backward_time: 465.3801269531, weight_update_time: 2.6095285416, other_time: 11.1188659668
epoch time: 53.9845275879s, input_fired_time: 1.0008736849, output_fired_time: 0.0000000000, propagate_forward_time: 51.3126792908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6709747314
validation[          , genome  6073] predictions:    6092/  10000 (60.92%), best:    6095/10000 (60.95%), error:     11848.92480, best error:     11772.00000 on epoch:    89, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 748.9884643555s, input_fired_time: 7.8372921944, output_fired_time: 5.5269508362, propagate_forward_time: 259.1871948242, propagate_backward_time: 465.2856750488, weight_update_time: 2.6188480854, other_time: 11.1513366699
epoch time: 53.8687477112s, input_fired_time: 0.9970262051, output_fired_time: 0.0000000000, propagate_forward_time: 51.1905364990, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6811866760
validation[          , genome  6073] predictions:    6102/  10000 (61.02%), best:    6095/10000 (60.95%), error:     11881.36621, best error:     11772.00000 on epoch:    89, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 750.5317382813s, input_fired_time: 7.8650417328, output_fired_time: 5.5292201042, propagate_forward_time: 260.2301940918, propagate_backward_time: 465.7650756836, weight_update_time: 2.6096827984, other_time: 11.1421813965
epoch time: 54.7442817688s, input_fired_time: 1.0012590885, output_fired_time: 0.0000000000, propagate_forward_time: 52.0676040649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6754188538
validation[          , genome  6073] predictions:    6032/  10000 (60.32%), best:    6095/10000 (60.95%), error:     12052.96582, best error:     11772.00000 on epoch:    89, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 748.9002685547s, input_fired_time: 7.8628263474, output_fired_time: 5.5134129524, propagate_forward_time: 259.4055175781, propagate_backward_time: 464.9870605469, weight_update_time: 2.6106653214, other_time: 11.1314086914
epoch time: 54.1852416992s, input_fired_time: 0.9981888533, output_fired_time: 0.0000000000, propagate_forward_time: 51.5110206604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6760330200
validation[          , genome  6073] predictions:    6090/  10000 (60.90%), best:    6095/10000 (60.95%), error:     11902.68848, best error:     11772.00000 on epoch:    89, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 746.0718994141s, input_fired_time: 7.8328895569, output_fired_time: 5.5016384125, propagate_forward_time: 257.9990234375, propagate_backward_time: 463.6492919922, weight_update_time: 2.5905795097, other_time: 11.0890502930
epoch time: 54.9180183411s, input_fired_time: 1.0077584982, output_fired_time: 0.0000000000, propagate_forward_time: 52.2340545654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6762046814
validation[          , genome  6073] predictions:    6009/  10000 (60.09%), best:    6095/10000 (60.95%), error:     12132.09082, best error:     11772.00000 on epoch:    89, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 744.9107666016s, input_fired_time: 7.8409552574, output_fired_time: 5.5102515221, propagate_forward_time: 256.4945373535, propagate_backward_time: 463.9591064453, weight_update_time: 2.6001150608, other_time: 11.1059265137
epoch time: 54.3008193970s, input_fired_time: 1.0074975491, output_fired_time: 0.0000000000, propagate_forward_time: 51.6169853210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6763381958
validation[          , genome  6073] predictions:    6122/  10000 (61.22%), best:    6122/10000 (61.22%), error:     11768.56543, best error:     11768.56543 on epoch:    99, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 750.5506591797s, input_fired_time: 7.8935222626, output_fired_time: 5.5845742226, propagate_forward_time: 259.6430664063, propagate_backward_time: 466.0874023438, weight_update_time: 2.6035523415, other_time: 11.3421020508
epoch time: 57.1307411194s, input_fired_time: 1.0840950012, output_fired_time: 0.0000000000, propagate_forward_time: 54.0378265381, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0088195801
validation[          , genome  6073] predictions:    6055/  10000 (60.55%), best:    6122/10000 (61.22%), error:     11859.31152, best error:     11768.56543 on epoch:    99, 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: 284.5450439453s, input_fired_time: 5.4091663361, output_fired_time: 0.0000000000, propagate_forward_time: 268.9970397949, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.1388244629
best training[          , genome  6073] predictions:   38354/  50000 (76.71%), best:    6122/10000 (61.22%), error:     34994.72266, best error:     11768.56543 on epoch:    99, 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: 56.8459892273s, input_fired_time: 1.0826926231, output_fired_time: 0.0000000000, propagate_forward_time: 53.7505493164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0127487183
   testing[          , genome  6073] predictions:    6122/  10000 (61.22%), best:    6122/10000 (61.22%), error:     11768.56543, best error:     11768.56543 on epoch:    99, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
03:17:57 (3388): called boinc_finish(0)

</stderr_txt>
]]>