Nameexact_genome_1542365403_183_6063_1
Workunit4092899
Created16 Nov 2018, 15:44:00 UTC
Sent16 Nov 2018, 15:52:11 UTC
Report deadline28 Jan 2019, 17:57:29 UTC
Received17 Dec 2018, 15:17:52 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time1 days 10 hours 55 min 49 sec
CPU time1 days 6 hours 39 min 54 sec
Validate stateValid
Credit18,271.76
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.28 MB
Peak swap size538.88 MB
Peak disk usage9.55 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
.0227500200, output_fired_time: 0.0000000000, propagate_forward_time: 84.6296691895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9281005859
validation[          , genome  6063] predictions:    5517/  10000 (55.17%), best:    5711/10000 (57.11%), error:     13902.89551, best error:     12927.03906 on epoch:    26, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1290.5107421875s, input_fired_time: 9.5552682877, output_fired_time: 7.5597233772, propagate_forward_time: 481.6006774902, propagate_backward_time: 776.7830810547, weight_update_time: 3.5325956345, other_time: 15.0119628906
epoch time: 87.9103546143s, input_fired_time: 1.0203770399, output_fired_time: 0.0000000000, propagate_forward_time: 85.0092239380, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8807525635
validation[          , genome  6063] predictions:    5546/  10000 (55.46%), best:    5711/10000 (57.11%), error:     13988.36133, best error:     12927.03906 on epoch:    26, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1202.6778564453s, input_fired_time: 8.9595108032, output_fired_time: 7.0192165375, propagate_forward_time: 451.0752563477, propagate_backward_time: 721.6836547852, weight_update_time: 3.2776134014, other_time: 13.9403076172
epoch time: 108.7393951416s, input_fired_time: 1.2754585743, output_fired_time: 0.0000000000, propagate_forward_time: 104.8600921631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6038436890
validation[          , genome  6063] predictions:    5530/  10000 (55.30%), best:    5711/10000 (57.11%), error:     13674.24219, best error:     12927.03906 on epoch:    26, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1404.0144042969s, input_fired_time: 10.0446729660, output_fired_time: 7.9511852264, propagate_forward_time: 520.9117431641, propagate_backward_time: 848.3743286133, weight_update_time: 3.7327382565, other_time: 16.7324829102
epoch time: 98.3591537476s, input_fired_time: 1.2052516937, output_fired_time: 0.0000000000, propagate_forward_time: 94.9688415527, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1850585938
validation[          , genome  6063] predictions:    5612/  10000 (56.12%), best:    5711/10000 (57.11%), error:     13481.45508, best error:     12927.03906 on epoch:    26, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1175.9200439453s, input_fired_time: 8.7401247025, output_fired_time: 6.8047814369, propagate_forward_time: 442.2107543945, propagate_backward_time: 704.4991455078, weight_update_time: 3.1155080795, other_time: 13.6652221680
epoch time: 108.1542358398s, input_fired_time: 1.2633440495, output_fired_time: 0.0000000000, propagate_forward_time: 104.3442840576, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5466079712
validation[          , genome  6063] predictions:    5646/  10000 (56.46%), best:    5711/10000 (57.11%), error:     13305.53027, best error:     12927.03906 on epoch:    26, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1270.3431396484s, input_fired_time: 9.0831708908, output_fired_time: 7.4159421921, propagate_forward_time: 474.2257995605, propagate_backward_time: 765.0282592773, weight_update_time: 3.3955349922, other_time: 14.5900268555
epoch time: 88.7883377075s, input_fired_time: 1.0739778280, output_fired_time: 0.0000000000, propagate_forward_time: 85.7062606812, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0081024170
validation[          , genome  6063] predictions:    5552/  10000 (55.52%), best:    5711/10000 (57.11%), error:     13739.29004, best error:     12927.03906 on epoch:    26, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1346.6708984375s, input_fired_time: 10.1114587784, output_fired_time: 7.4271969795, propagate_forward_time: 501.7961425781, propagate_backward_time: 811.6042480469, weight_update_time: 3.6295766830, other_time: 15.7318115234
epoch time: 88.3058624268s, input_fired_time: 1.0120710135, output_fired_time: 0.0000000000, propagate_forward_time: 85.3954086304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8983840942
validation[          , genome  6063] predictions:    5783/  10000 (57.83%), best:    5711/10000 (57.11%), error:     13072.91113, best error:     12927.03906 on epoch:    26, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1170.0765380859s, input_fired_time: 8.7914562225, output_fired_time: 6.8915028572, propagate_forward_time: 439.2982482910, propagate_backward_time: 701.6361694336, weight_update_time: 3.2539572716, other_time: 13.4591674805
epoch time: 106.3722610474s, input_fired_time: 1.3604352474, output_fired_time: 0.0000000000, propagate_forward_time: 102.5792694092, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4325561523
validation[          , genome  6063] predictions:    5890/  10000 (58.90%), best:    5890/10000 (58.90%), error:     12345.13770, best error:     12345.13770 on epoch:    35, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1341.9874267578s, input_fired_time: 10.0171871185, output_fired_time: 7.9723119736, propagate_forward_time: 497.1993713379, propagate_backward_time: 810.7907104492, weight_update_time: 3.5094313622, other_time: 16.0078735352
epoch time: 113.0198745728s, input_fired_time: 1.3826102018, output_fired_time: 0.0000000000, propagate_forward_time: 108.8235092163, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8137588501
validation[          , genome  6063] predictions:    5857/  10000 (58.57%), best:    5890/10000 (58.90%), error:     12754.08398, best error:     12345.13770 on epoch:    35, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1214.0179443359s, input_fired_time: 9.0726699829, output_fired_time: 6.9682831764, propagate_forward_time: 454.6362304688, propagate_backward_time: 729.0612792969, weight_update_time: 3.2868192196, other_time: 14.2795410156
epoch time: 89.1601943970s, input_fired_time: 1.1372255087, output_fired_time: 0.0000000000, propagate_forward_time: 85.8801422119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1428298950
validation[          , genome  6063] predictions:    5905/  10000 (59.05%), best:    5890/10000 (58.90%), error:     12556.18457, best error:     12345.13770 on epoch:    35, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1346.8914794922s, input_fired_time: 9.7188434601, output_fired_time: 7.6491551399, propagate_forward_time: 500.1807556152, propagate_backward_time: 812.9548950195, weight_update_time: 3.6787943840, other_time: 16.3877563477
epoch time: 87.7159881592s, input_fired_time: 1.0864496231, output_fired_time: 0.0000000000, propagate_forward_time: 84.7629165649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8666229248
validation[          , genome  6063] predictions:    5642/  10000 (56.42%), best:    5890/10000 (58.90%), error:     13520.87207, best error:     12345.13770 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1264.8571777344s, input_fired_time: 9.3350934982, output_fired_time: 7.5448031425, propagate_forward_time: 472.7264404297, propagate_backward_time: 760.9364013672, weight_update_time: 3.2755341530, other_time: 14.3144531250
epoch time: 106.0645446777s, input_fired_time: 1.2616610527, output_fired_time: 0.0000000000, propagate_forward_time: 102.3787765503, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4241104126
validation[          , genome  6063] predictions:    5771/  10000 (57.71%), best:    5890/10000 (58.90%), error:     12774.42871, best error:     12345.13770 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1339.1112060547s, input_fired_time: 10.3812103271, output_fired_time: 7.7607202530, propagate_forward_time: 495.5208740234, propagate_backward_time: 809.1115722656, weight_update_time: 3.7331314087, other_time: 16.3367919922
epoch time: 88.0195312500s, input_fired_time: 1.0330406427, output_fired_time: 0.0000000000, propagate_forward_time: 84.9533309937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0331573486
validation[          , genome  6063] predictions:    5862/  10000 (58.62%), best:    5890/10000 (58.90%), error:     12745.97656, best error:     12345.13770 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1130.3242187500s, input_fired_time: 8.4003944397, output_fired_time: 6.5076189041, propagate_forward_time: 426.7766418457, propagate_backward_time: 675.5219726563, weight_update_time: 3.0268640518, other_time: 13.1176757813
epoch time: 91.1790466309s, input_fired_time: 1.1925877333, output_fired_time: 0.0000000000, propagate_forward_time: 87.8940353394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0924224854
validation[          , genome  6063] predictions:    5949/  10000 (59.49%), best:    5890/10000 (58.90%), error:     12390.53906, best error:     12345.13770 on epoch:    35, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1268.1414794922s, input_fired_time: 9.0473871231, output_fired_time: 7.0817799568, propagate_forward_time: 472.7129821777, propagate_backward_time: 764.2169799805, weight_update_time: 3.4024527073, other_time: 15.0823364258
epoch time: 118.4317398071s, input_fired_time: 1.4742008448, output_fired_time: 0.0000000000, propagate_forward_time: 114.2616577148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6958847046
validation[          , genome  6063] predictions:    5846/  10000 (58.46%), best:    5890/10000 (58.90%), error:     12701.50098, best error:     12345.13770 on epoch:    35, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1250.8378906250s, input_fired_time: 9.3713693619, output_fired_time: 6.9787468910, propagate_forward_time: 467.2308654785, propagate_backward_time: 752.8362426758, weight_update_time: 3.2587046623, other_time: 14.4207153320
epoch time: 86.0422058105s, input_fired_time: 1.0290232897, output_fired_time: 0.0000000000, propagate_forward_time: 83.1265792847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8866043091
validation[          , genome  6063] predictions:    5915/  10000 (59.15%), best:    5890/10000 (58.90%), error:     12638.41113, best error:     12345.13770 on epoch:    35, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1758.0065917969s, input_fired_time: 14.2717628479, output_fired_time: 10.2738332748, propagate_forward_time: 644.2241210938, propagate_backward_time: 1065.4221191406, weight_update_time: 4.5701003075, other_time: 23.8148193359
epoch time: 127.0473327637s, input_fired_time: 1.5000407696, output_fired_time: 0.0000000000, propagate_forward_time: 122.1344451904, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4128494263
validation[          , genome  6063] predictions:    5867/  10000 (58.67%), best:    5890/10000 (58.90%), error:     12628.97754, best error:     12345.13770 on epoch:    35, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1847.3397216797s, input_fired_time: 14.1704845428, output_fired_time: 11.7033014297, propagate_forward_time: 678.7255859375, propagate_backward_time: 1118.5795898438, weight_update_time: 4.8251037598, other_time: 24.1607666016
epoch time: 145.1627197266s, input_fired_time: 1.7973779440, output_fired_time: 0.0000000000, propagate_forward_time: 139.0610351563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3043060303
validation[          , genome  6063] predictions:    5983/  10000 (59.83%), best:    5983/10000 (59.83%), error:     12255.20508, best error:     12255.20508 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1789.8680419922s, input_fired_time: 14.3862686157, output_fired_time: 10.6240358353, propagate_forward_time: 656.3022460938, propagate_backward_time: 1084.7242431641, weight_update_time: 5.1906008720, other_time: 23.8312988281
epoch time: 109.5363998413s, input_fired_time: 1.3812135458, output_fired_time: 0.0000000000, propagate_forward_time: 105.4275054932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7276840210
validation[          , genome  6063] predictions:    5913/  10000 (59.13%), best:    5983/10000 (59.83%), error:     12349.07715, best error:     12255.20508 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1453.2364501953s, input_fired_time: 11.6446018219, output_fired_time: 8.6826334000, propagate_forward_time: 536.6213378906, propagate_backward_time: 877.8486938477, weight_update_time: 4.0018730164, other_time: 18.4391479492
epoch time: 140.0192260742s, input_fired_time: 2.0623157024, output_fired_time: 0.0000000000, propagate_forward_time: 134.2669372559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6899719238
validation[          , genome  6063] predictions:    5982/  10000 (59.82%), best:    5982/10000 (59.82%), error:     11942.70898, best error:     11942.70898 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1569.2746582031s, input_fired_time: 12.3488311768, output_fired_time: 9.2245960236, propagate_forward_time: 577.9777221680, propagate_backward_time: 950.2348022461, weight_update_time: 4.3607597351, other_time: 19.4886474609
epoch time: 95.1054229736s, input_fired_time: 1.2478940487, output_fired_time: 0.0000000000, propagate_forward_time: 91.2751846313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5823440552
validation[          , genome  6063] predictions:    5949/  10000 (59.49%), best:    5982/10000 (59.82%), error:     12201.54492, best error:     11942.70898 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1274.2684326172s, input_fired_time: 10.2830133438, output_fired_time: 7.7009644508, propagate_forward_time: 466.3978881836, propagate_backward_time: 773.5051879883, weight_update_time: 3.4728162289, other_time: 16.3814697266
epoch time: 120.8786010742s, input_fired_time: 1.7191640139, output_fired_time: 0.0000000000, propagate_forward_time: 116.0957183838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0637207031
validation[          , genome  6063] predictions:    6007/  10000 (60.07%), best:    5982/10000 (59.82%), error:     12077.06348, best error:     11942.70898 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1791.9381103516s, input_fired_time: 14.0769128799, output_fired_time: 10.6544351578, propagate_forward_time: 649.2421875000, propagate_backward_time: 1095.6064453125, weight_update_time: 4.3909578323, other_time: 22.3581542969
epoch time: 93.2750625610s, input_fired_time: 1.1230767965, output_fired_time: 0.0000000000, propagate_forward_time: 89.9188613892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2331237793
validation[          , genome  6063] predictions:    6032/  10000 (60.32%), best:    5982/10000 (59.82%), error:     12104.44336, best error:     11942.70898 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1129.7862548828s, input_fired_time: 8.4886703491, output_fired_time: 6.5659976006, propagate_forward_time: 422.5084533691, propagate_backward_time: 678.3999633789, weight_update_time: 3.0903415680, other_time: 13.8231811523
epoch time: 87.4470138550s, input_fired_time: 1.1071621180, output_fired_time: 0.0000000000, propagate_forward_time: 84.3206100464, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0192413330
validation[          , genome  6063] predictions:    5985/  10000 (59.85%), best:    5982/10000 (59.82%), error:     12130.74121, best error:     11942.70898 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1314.4361572266s, input_fired_time: 10.2206296921, output_fired_time: 7.9061970711, propagate_forward_time: 483.7442016602, propagate_backward_time: 795.9453125000, weight_update_time: 3.4660902023, other_time: 16.6198120117
epoch time: 112.2172698975s, input_fired_time: 1.5100094080, output_fired_time: 0.0000000000, propagate_forward_time: 107.7905578613, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9167022705
validation[          , genome  6063] predictions:    6005/  10000 (60.05%), best:    5982/10000 (59.82%), error:     12390.27734, best error:     11942.70898 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

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_183_6063.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_183_6063_1_r498088662_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: 0.957674
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000824633
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.29853e-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: 53
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 47
read number_validation_images: 10000
read best_validation_predictions: 5982
read best_validation_error: 11942.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6063
read normal distribution: '0 -0.238303750753403 0.433976292610168'
generator_str: '30979466'
read generator: 30979466
read generated_by_map:
1 add_node 1
reading 72 nodes.
reading 292 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: 1349.54565429688s, input_fired_time: 10.5933523178101, output_fired_time: 7.973060131073, propagate_forward_time: 499.397125244141, propagate_backward_time: 815.634582519531, weight_update_time: 3.71169638633728, other_time: 15.9475708007813
epoch time: 84.7970428466797s, input_fired_time: 1.04391312599182, output_fired_time: 0, propagate_forward_time: 81.7607955932617, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.99233245849609
validation[          , genome  6063] predictions:    6049/  10000 (60.49%), best:    5982/10000 (59.82%), error:     12177.34180, best error:     11942.70898 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1110.6451416016s, input_fired_time: 8.3423967361, output_fired_time: 6.4137134552, propagate_forward_time: 415.0164184570, propagate_backward_time: 667.9770507813, weight_update_time: 3.0391881466, other_time: 12.8955688477
epoch time: 86.8583755493s, input_fired_time: 1.1160656214, output_fired_time: 0.0000000000, propagate_forward_time: 83.7251739502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0171356201
validation[          , genome  6063] predictions:    5955/  10000 (59.55%), best:    5982/10000 (59.82%), error:     12276.51270, best error:     11942.70898 on epoch:    47, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1123.1943359375s, input_fired_time: 8.5612258911, output_fired_time: 6.5028924942, propagate_forward_time: 417.6049804688, propagate_backward_time: 677.3826904297, weight_update_time: 3.0676174164, other_time: 13.1424560547
epoch time: 86.3047180176s, input_fired_time: 1.0606333017, output_fired_time: 0.0000000000, propagate_forward_time: 83.2512130737, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9928741455
validation[          , genome  6063] predictions:    5985/  10000 (59.85%), best:    5982/10000 (59.82%), error:     12002.72168, best error:     11942.70898 on epoch:    47, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1108.6071777344s, input_fired_time: 8.4660005569, output_fired_time: 6.4534959793, propagate_forward_time: 411.2369689941, propagate_backward_time: 669.2732543945, weight_update_time: 3.0442733765, other_time: 13.1775512695
epoch time: 79.8629913330s, input_fired_time: 0.9968186617, output_fired_time: 0.0000000000, propagate_forward_time: 76.9141387939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9520339966
validation[          , genome  6063] predictions:    5941/  10000 (59.41%), best:    5982/10000 (59.82%), error:     12428.20898, best error:     11942.70898 on epoch:    47, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1047.7933349609s, input_fired_time: 8.0628938675, output_fired_time: 6.1143565178, propagate_forward_time: 383.3864440918, propagate_backward_time: 637.5769653320, weight_update_time: 2.8843533993, other_time: 12.6526489258
epoch time: 79.6650466919s, input_fired_time: 1.0133373737, output_fired_time: 0.0000000000, propagate_forward_time: 76.7822494507, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8694610596
validation[          , genome  6063] predictions:    5965/  10000 (59.65%), best:    5982/10000 (59.82%), error:     12268.16504, best error:     11942.70898 on epoch:    47, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 1050.0206298828s, input_fired_time: 8.0741424561, output_fired_time: 6.0623230934, propagate_forward_time: 385.2706298828, propagate_backward_time: 638.2350463867, weight_update_time: 2.9053146839, other_time: 12.3784790039
epoch time: 79.5258178711s, input_fired_time: 1.0060440302, output_fired_time: 0.0000000000, propagate_forward_time: 76.6616592407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8581161499
validation[          , genome  6063] predictions:    6071/  10000 (60.71%), best:    5982/10000 (59.82%), error:     12026.46484, best error:     11942.70898 on epoch:    47, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1047.6723632813s, input_fired_time: 8.0809440613, output_fired_time: 6.0751185417, propagate_forward_time: 383.5237426758, propagate_backward_time: 637.6081542969, weight_update_time: 2.8936302662, other_time: 12.3844604492
epoch time: 79.6651458740s, input_fired_time: 1.0216137171, output_fired_time: 0.0000000000, propagate_forward_time: 76.6926574707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9508743286
validation[          , genome  6063] predictions:    6025/  10000 (60.25%), best:    5982/10000 (59.82%), error:     12187.66992, best error:     11942.70898 on epoch:    47, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1046.3646240234s, input_fired_time: 8.1014108658, output_fired_time: 6.1294941902, propagate_forward_time: 382.2279357910, propagate_backward_time: 637.2437133789, weight_update_time: 2.8688628674, other_time: 12.6620483398
epoch time: 79.4962387085s, input_fired_time: 1.0102556944, output_fired_time: 0.0000000000, propagate_forward_time: 76.5622787476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9237060547
validation[          , genome  6063] predictions:    5891/  10000 (58.91%), best:    5982/10000 (59.82%), error:     12411.80273, best error:     11942.70898 on epoch:    47, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 1047.5876464844s, input_fired_time: 8.1094970703, output_fired_time: 6.0715904236, propagate_forward_time: 383.5714111328, propagate_backward_time: 637.4313964844, weight_update_time: 2.8694932461, other_time: 12.4038085938
epoch time: 79.5475311279s, input_fired_time: 1.0271463394, output_fired_time: 0.0000000000, propagate_forward_time: 76.6586380005, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8617477417
validation[          , genome  6063] predictions:    6033/  10000 (60.33%), best:    5982/10000 (59.82%), error:     12091.28809, best error:     11942.70898 on epoch:    47, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 1033.2642822266s, input_fired_time: 7.9945821762, output_fired_time: 6.0082473755, propagate_forward_time: 375.7738647461, propagate_backward_time: 631.3410644531, weight_update_time: 2.8451409340, other_time: 12.1464843750
epoch time: 75.7865295410s, input_fired_time: 0.9764814973, output_fired_time: 0.0000000000, propagate_forward_time: 73.0071411133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8029098511
validation[          , genome  6063] predictions:    6053/  10000 (60.53%), best:    5982/10000 (59.82%), error:     12080.98828, best error:     11942.70898 on epoch:    47, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 1169.0642089844s, input_fired_time: 9.1201801300, output_fired_time: 6.8220500946, propagate_forward_time: 424.0968322754, propagate_backward_time: 714.4565429688, weight_update_time: 3.3032345772, other_time: 14.5686035156
epoch time: 93.0938339233s, input_fired_time: 1.2369085550, output_fired_time: 0.0000000000, propagate_forward_time: 89.4476013184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4093246460
validation[          , genome  6063] predictions:    6066/  10000 (60.66%), best:    5982/10000 (59.82%), error:     12309.54785, best error:     11942.70898 on epoch:    47, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 1146.3546142578s, input_fired_time: 9.0072011948, output_fired_time: 6.7897930145, propagate_forward_time: 415.9122619629, propagate_backward_time: 700.3344726563, weight_update_time: 3.2012312412, other_time: 14.3109130859
epoch time: 86.8042984009s, input_fired_time: 1.1255553961, output_fired_time: 0.0000000000, propagate_forward_time: 83.5339584351, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1447830200
validation[          , genome  6063] predictions:    5997/  10000 (59.97%), best:    5982/10000 (59.82%), error:     12358.78906, best error:     11942.70898 on epoch:    47, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 1090.0379638672s, input_fired_time: 8.5946683884, output_fired_time: 6.4159145355, propagate_forward_time: 393.5113220215, propagate_backward_time: 668.2630004883, weight_update_time: 3.0303466320, other_time: 13.2529907227
epoch time: 79.7809829712s, input_fired_time: 1.0556244850, output_fired_time: 0.0000000000, propagate_forward_time: 76.7813339233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9440231323
validation[          , genome  6063] predictions:    6099/  10000 (60.99%), best:    5982/10000 (59.82%), error:     12129.90820, best error:     11942.70898 on epoch:    47, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1360.9128417969s, input_fired_time: 10.7365570068, output_fired_time: 8.0956506729, propagate_forward_time: 494.7966003418, propagate_backward_time: 829.5524291992, weight_update_time: 3.7739031315, other_time: 17.7315063477
epoch time: 130.9702606201s, input_fired_time: 1.6848850250, output_fired_time: 0.0000000000, propagate_forward_time: 125.6109008789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6744689941
validation[          , genome  6063] predictions:    6038/  10000 (60.38%), best:    5982/10000 (59.82%), error:     11967.67578, best error:     11942.70898 on epoch:    47, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

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_183_6063.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542365403_183_6063_1_r498088662_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: 0.974236
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000402153
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.60861e-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: 67
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 47
read number_validation_images: 10000
read best_validation_predictions: 5982
read best_validation_error: 11942.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6063
read normal distribution: '0 -0.238303750753403 0.433976292610168'
generator_str: '1436872354'
read generator: 1436872354
read generated_by_map:
1 add_node 1
reading 72 nodes.
reading 292 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: 1083.69128417969s, input_fired_time: 8.24659252166748, output_fired_time: 6.28122806549072, propagate_forward_time: 406.064727783203, propagate_backward_time: 650.033020019531, weight_update_time: 2.91744303703308, other_time: 13.0657348632813
epoch time: 84.6322784423828s, input_fired_time: 1.05427920818329, output_fired_time: 0, propagate_forward_time: 81.5499038696289, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.02809906005859
validation[          , genome  6063] predictions:    6105/  10000 (61.05%), best:    6105/10000 (61.05%), error:     11718.34277, best error:     11718.34277 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1127.2045898438s, input_fired_time: 8.6454114914, output_fired_time: 6.4854564667, propagate_forward_time: 420.4056396484, propagate_backward_time: 678.0747070313, weight_update_time: 3.0212073326, other_time: 13.5933837891
epoch time: 104.8667678833s, input_fired_time: 1.2973697186, output_fired_time: 0.0000000000, propagate_forward_time: 100.8506393433, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7187576294
validation[          , genome  6063] predictions:    6079/  10000 (60.79%), best:    6105/10000 (61.05%), error:     11872.08203, best error:     11718.34277 on epoch:    67, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 1134.8070068359s, input_fired_time: 8.8177270889, output_fired_time: 6.8610935211, propagate_forward_time: 416.7232666016, propagate_backward_time: 688.3677368164, weight_update_time: 3.1436347961, other_time: 14.0371704102
epoch time: 79.0024795532s, input_fired_time: 1.0217071772, output_fired_time: 0.0000000000, propagate_forward_time: 76.0429077148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9378662109
validation[          , genome  6063] predictions:    5989/  10000 (59.89%), best:    6105/10000 (61.05%), error:     12221.50586, best error:     11718.34277 on epoch:    67, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1038.1682128906s, input_fired_time: 8.0995073318, output_fired_time: 6.0512695313, propagate_forward_time: 379.1433105469, propagate_backward_time: 632.2813720703, weight_update_time: 2.8263339996, other_time: 12.5927734375
epoch time: 78.7506256104s, input_fired_time: 1.0203293562, output_fired_time: 0.0000000000, propagate_forward_time: 75.7588272095, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9714660645
validation[          , genome  6063] predictions:    6087/  10000 (60.87%), best:    6105/10000 (61.05%), error:     11845.73926, best error:     11718.34277 on epoch:    67, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 988.7269897461s, input_fired_time: 7.7801895142, output_fired_time: 5.7798795700, propagate_forward_time: 348.9353332520, propagate_backward_time: 614.0137939453, weight_update_time: 2.7601816654, other_time: 12.2177734375
epoch time: 71.2592010498s, input_fired_time: 0.9642353058, output_fired_time: 0.0000000000, propagate_forward_time: 68.4687652588, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8262023926
validation[          , genome  6063] predictions:    6149/  10000 (61.49%), best:    6149/10000 (61.49%), error:     11716.57715, best error:     11716.57715 on epoch:    71, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 975.6701049805s, input_fired_time: 7.6922740936, output_fired_time: 5.6905922890, propagate_forward_time: 340.3938903809, propagate_backward_time: 610.0386352539, weight_update_time: 2.7384731770, other_time: 11.8546752930
epoch time: 69.0364456177s, input_fired_time: 0.9344795942, output_fired_time: 0.0000000000, propagate_forward_time: 66.3648910522, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7370758057
validation[          , genome  6063] predictions:    6064/  10000 (60.64%), best:    6149/10000 (61.49%), error:     12067.42871, best error:     11716.57715 on epoch:    71, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 959.7838134766s, input_fired_time: 7.5657472610, output_fired_time: 5.5656242371, propagate_forward_time: 331.8491821289, propagate_backward_time: 603.2443847656, weight_update_time: 2.7172515392, other_time: 11.5588989258
epoch time: 69.3816070557s, input_fired_time: 0.9441664815, output_fired_time: 0.0000000000, propagate_forward_time: 66.7046127319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7328262329
validation[          , genome  6063] predictions:    6123/  10000 (61.23%), best:    6149/10000 (61.49%), error:     11822.66016, best error:     11716.57715 on epoch:    71, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 958.9989013672s, input_fired_time: 7.5598335266, output_fired_time: 5.5661187172, propagate_forward_time: 331.0017089844, propagate_backward_time: 603.3805541992, weight_update_time: 2.7120039463, other_time: 11.4907226563
epoch time: 68.8328552246s, input_fired_time: 0.9404758215, output_fired_time: 0.0000000000, propagate_forward_time: 66.1851043701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7072753906
validation[          , genome  6063] predictions:    6122/  10000 (61.22%), best:    6149/10000 (61.49%), error:     11821.67090, best error:     11716.57715 on epoch:    71, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 959.2521972656s, input_fired_time: 7.5779938698, output_fired_time: 5.5720906258, propagate_forward_time: 331.3446960449, propagate_backward_time: 603.3775634766, weight_update_time: 2.7154810429, other_time: 11.3798828125
epoch time: 69.4200668335s, input_fired_time: 0.9431743026, output_fired_time: 0.0000000000, propagate_forward_time: 66.7700805664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7068099976
validation[          , genome  6063] predictions:    6183/  10000 (61.83%), best:    6183/10000 (61.83%), error:     11697.99414, best error:     11697.99414 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 958.9364624023s, input_fired_time: 7.5578045845, output_fired_time: 5.5566444397, propagate_forward_time: 331.2192687988, propagate_backward_time: 603.1940307617, weight_update_time: 2.7107322216, other_time: 11.4087524414
epoch time: 68.6189346313s, input_fired_time: 0.9299153686, output_fired_time: 0.0000000000, propagate_forward_time: 65.9922103882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6968078613
validation[          , genome  6063] predictions:    6063/  10000 (60.63%), best:    6183/10000 (61.83%), error:     11949.78516, best error:     11697.99414 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 959.6566772461s, input_fired_time: 7.5703225136, output_fired_time: 5.5789065361, propagate_forward_time: 331.1632995605, propagate_backward_time: 603.9415893555, weight_update_time: 2.7059566975, other_time: 11.4025268555
epoch time: 69.2111892700s, input_fired_time: 0.9485772252, output_fired_time: 0.0000000000, propagate_forward_time: 66.5563888550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7062225342
validation[          , genome  6063] predictions:    6156/  10000 (61.56%), best:    6183/10000 (61.83%), error:     11743.59082, best error:     11697.99414 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 961.8204956055s, input_fired_time: 7.5788474083, output_fired_time: 5.5914049149, propagate_forward_time: 332.6629028320, propagate_backward_time: 604.5911254883, weight_update_time: 2.7077779770, other_time: 11.3961791992
epoch time: 68.7068557739s, input_fired_time: 0.9391470551, output_fired_time: 0.0000000000, propagate_forward_time: 66.0596542358, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7080535889
validation[          , genome  6063] predictions:    6129/  10000 (61.29%), best:    6183/10000 (61.83%), error:     11928.22461, best error:     11697.99414 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 964.1506347656s, input_fired_time: 7.5987358093, output_fired_time: 5.6058626175, propagate_forward_time: 334.9954223633, propagate_backward_time: 604.5126953125, weight_update_time: 2.7240684032, other_time: 11.4379272461
epoch time: 68.0452117920s, input_fired_time: 0.9309704900, output_fired_time: 0.0000000000, propagate_forward_time: 65.3977813721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7164611816
validation[          , genome  6063] predictions:    6111/  10000 (61.11%), best:    6183/10000 (61.83%), error:     11817.21875, best error:     11697.99414 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 962.5883789063s, input_fired_time: 7.5995550156, output_fired_time: 5.6078109741, propagate_forward_time: 333.6221313477, propagate_backward_time: 604.3659057617, weight_update_time: 2.7138822079, other_time: 11.3930053711
epoch time: 68.9084777832s, input_fired_time: 0.9355812669, output_fired_time: 0.0000000000, propagate_forward_time: 66.2606964111, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7121963501
validation[          , genome  6063] predictions:    6177/  10000 (61.77%), best:    6183/10000 (61.83%), error:     11880.71387, best error:     11697.99414 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 960.9594116211s, input_fired_time: 7.5891189575, output_fired_time: 5.5878825188, propagate_forward_time: 332.6269836426, propagate_backward_time: 603.7301025391, weight_update_time: 2.6968555450, other_time: 11.4252929688
epoch time: 69.4345550537s, input_fired_time: 0.9429283142, output_fired_time: 0.0000000000, propagate_forward_time: 66.7957229614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6958999634
validation[          , genome  6063] predictions:    6133/  10000 (61.33%), best:    6183/10000 (61.83%), error:     11777.97949, best error:     11697.99414 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 965.4659423828s, input_fired_time: 7.6224226952, output_fired_time: 5.6027879715, propagate_forward_time: 334.3783874512, propagate_backward_time: 606.3034667969, weight_update_time: 2.7042555809, other_time: 11.5588378906
epoch time: 73.2365570068s, input_fired_time: 1.0335733891, output_fired_time: 0.0000000000, propagate_forward_time: 70.1738662720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0291137695
validation[          , genome  6063] predictions:    6156/  10000 (61.56%), best:    6156/10000 (61.56%), error:     11628.10449, best error:     11628.10449 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 951.3850708008s, input_fired_time: 7.7437176704, output_fired_time: 5.7348537445, propagate_forward_time: 324.0856628418, propagate_backward_time: 601.4533081055, weight_update_time: 2.7085771561, other_time: 12.3674926758
epoch time: 63.0260925293s, input_fired_time: 0.8929783106, output_fired_time: 0.0000000000, propagate_forward_time: 60.4239463806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7091674805
validation[          , genome  6063] predictions:    6153/  10000 (61.53%), best:    6156/10000 (61.56%), error:     11723.26465, best error:     11628.10449 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 914.1433105469s, input_fired_time: 7.3872060776, output_fired_time: 5.3336553574, propagate_forward_time: 301.0717773438, propagate_backward_time: 589.0324096680, weight_update_time: 2.6326310635, other_time: 11.3182373047
epoch time: 62.9348411560s, input_fired_time: 0.9025115371, output_fired_time: 0.0000000000, propagate_forward_time: 60.3385238647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6938056946
validation[          , genome  6063] predictions:    6183/  10000 (61.83%), best:    6156/10000 (61.56%), error:     11689.81738, best error:     11628.10449 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 909.7046508789s, input_fired_time: 7.3808293343, output_fired_time: 5.3050303459, propagate_forward_time: 298.3991394043, propagate_backward_time: 587.4062500000, weight_update_time: 2.6175568104, other_time: 11.2133789063
epoch time: 62.7128295898s, input_fired_time: 0.8985139728, output_fired_time: 0.0000000000, propagate_forward_time: 60.1211547852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6931610107
validation[          , genome  6063] predictions:    6212/  10000 (62.12%), best:    6212/10000 (62.12%), error:     11606.58105, best error:     11606.58105 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 914.6186523438s, input_fired_time: 7.3976588249, output_fired_time: 5.3226256371, propagate_forward_time: 301.8048095703, propagate_backward_time: 588.9357299805, weight_update_time: 2.6294844151, other_time: 11.1578369141
epoch time: 62.2017364502s, input_fired_time: 0.8974305987, output_fired_time: 0.0000000000, propagate_forward_time: 59.6515121460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6527938843
validation[          , genome  6063] predictions:    6176/  10000 (61.76%), best:    6212/10000 (62.12%), error:     11734.54395, best error:     11606.58105 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 914.0426635742s, input_fired_time: 7.4038047791, output_fired_time: 5.3149905205, propagate_forward_time: 301.5050354004, propagate_backward_time: 588.7208862305, weight_update_time: 2.6280272007, other_time: 11.0979614258
epoch time: 62.8548660278s, input_fired_time: 0.9048374295, output_fired_time: 0.0000000000, propagate_forward_time: 60.2890510559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6609764099
validation[          , genome  6063] predictions:    6230/  10000 (62.30%), best:    6230/10000 (62.30%), error:     11606.04688, best error:     11606.04688 on epoch:    87, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 914.4668579102s, input_fired_time: 7.4030094147, output_fired_time: 5.3258490562, propagate_forward_time: 301.6206970215, propagate_backward_time: 589.1304931641, weight_update_time: 2.6272449493, other_time: 10.9868164063
epoch time: 62.3685188293s, input_fired_time: 0.8943853974, output_fired_time: 0.0000000000, propagate_forward_time: 59.8469047546, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6272277832
validation[          , genome  6063] predictions:    6136/  10000 (61.36%), best:    6230/10000 (62.30%), error:     11766.93262, best error:     11606.04688 on epoch:    87, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 915.0011596680s, input_fired_time: 7.4046382904, output_fired_time: 5.3198771477, propagate_forward_time: 302.1944580078, propagate_backward_time: 589.1181030273, weight_update_time: 2.6288406849, other_time: 10.9640502930
epoch time: 61.9835205078s, input_fired_time: 0.9002607465, output_fired_time: 0.0000000000, propagate_forward_time: 59.4483795166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6348800659
validation[          , genome  6063] predictions:    6179/  10000 (61.79%), best:    6179/10000 (61.79%), error:     11588.57324, best error:     11588.57324 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 912.3552246094s, input_fired_time: 7.3922672272, output_fired_time: 5.3132987022, propagate_forward_time: 300.3130493164, propagate_backward_time: 588.3930053711, weight_update_time: 2.6272952557, other_time: 10.9436035156
epoch time: 62.1333618164s, input_fired_time: 0.8900806904, output_fired_time: 0.0000000000, propagate_forward_time: 59.6135101318, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6297721863
validation[          , genome  6063] predictions:    6180/  10000 (61.80%), best:    6179/10000 (61.79%), error:     11669.54590, best error:     11588.57324 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 912.6443481445s, input_fired_time: 7.3964190483, output_fired_time: 5.3093080521, propagate_forward_time: 300.7161254883, propagate_backward_time: 588.2411499023, weight_update_time: 2.6277406216, other_time: 10.9813232422
epoch time: 62.6609725952s, input_fired_time: 0.9032732248, output_fired_time: 0.0000000000, propagate_forward_time: 60.1076622009, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6500358582
validation[          , genome  6063] predictions:    6207/  10000 (62.07%), best:    6207/10000 (62.07%), error:     11548.87500, best error:     11548.87500 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 913.1468505859s, input_fired_time: 7.4021158218, output_fired_time: 5.3145151138, propagate_forward_time: 300.8036804199, propagate_backward_time: 588.5149536133, weight_update_time: 2.6225662231, other_time: 11.1116333008
epoch time: 62.2359085083s, input_fired_time: 0.9041728377, output_fired_time: 0.0000000000, propagate_forward_time: 59.6295890808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7021484375
validation[          , genome  6063] predictions:    6214/  10000 (62.14%), best:    6214/10000 (62.14%), error:     11542.46387, best error:     11542.46387 on epoch:    92, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 910.2633666992s, input_fired_time: 7.4012589455, output_fired_time: 5.3104553223, propagate_forward_time: 298.7227172852, propagate_backward_time: 587.5045776367, weight_update_time: 2.6244764328, other_time: 11.3243408203
epoch time: 62.2118606567s, input_fired_time: 0.9014394283, output_fired_time: 0.0000000000, propagate_forward_time: 59.6076850891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7027359009
validation[          , genome  6063] predictions:    6216/  10000 (62.16%), best:    6214/10000 (62.14%), error:     11622.12988, best error:     11542.46387 on epoch:    92, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 912.0574340820s, input_fired_time: 7.4103093147, output_fired_time: 5.3288693428, propagate_forward_time: 299.9181518555, propagate_backward_time: 588.1674804688, weight_update_time: 2.6198954582, other_time: 11.2326049805
epoch time: 62.1488723755s, input_fired_time: 0.8976030946, output_fired_time: 0.0000000000, propagate_forward_time: 59.5553321838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6959381104
validation[          , genome  6063] predictions:    6175/  10000 (61.75%), best:    6214/10000 (62.14%), error:     11811.37598, best error:     11542.46387 on epoch:    92, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 909.8889160156s, input_fired_time: 7.3967075348, output_fired_time: 5.2970156670, propagate_forward_time: 298.8734130859, propagate_backward_time: 587.1060180664, weight_update_time: 2.6201481819, other_time: 11.2157592773
epoch time: 63.2734489441s, input_fired_time: 0.9131471515, output_fired_time: 0.0000000000, propagate_forward_time: 60.6460342407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7142677307
validation[          , genome  6063] predictions:    6185/  10000 (61.85%), best:    6214/10000 (62.14%), error:     11655.35742, best error:     11542.46387 on epoch:    92, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 909.0969238281s, input_fired_time: 7.3973088264, output_fired_time: 5.2997918129, propagate_forward_time: 298.1160583496, propagate_backward_time: 587.0969848633, weight_update_time: 2.6183569431, other_time: 11.1867065430
epoch time: 62.5344352722s, input_fired_time: 0.9003795981, output_fired_time: 0.0000000000, propagate_forward_time: 59.9581527710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6759033203
validation[          , genome  6063] predictions:    6214/  10000 (62.14%), best:    6214/10000 (62.14%), error:     11630.94727, best error:     11542.46387 on epoch:    92, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 909.0567016602s, input_fired_time: 7.3944640160, output_fired_time: 5.2957472801, propagate_forward_time: 298.2725830078, propagate_backward_time: 586.9902343750, weight_update_time: 2.6161220074, other_time: 11.1036376953
epoch time: 64.4212570190s, input_fired_time: 0.9206502438, output_fired_time: 0.0000000000, propagate_forward_time: 61.7863121033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7142944336
validation[          , genome  6063] predictions:    6212/  10000 (62.12%), best:    6214/10000 (62.14%), error:     11654.85352, best error:     11542.46387 on epoch:    92, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1005.9138183594s, input_fired_time: 8.1167984009, output_fired_time: 6.0415287018, propagate_forward_time: 349.9395141602, propagate_backward_time: 629.4175415039, weight_update_time: 2.8343200684, other_time: 12.3984375000
epoch time: 70.1383972168s, input_fired_time: 0.9871680737, output_fired_time: 0.0000000000, propagate_forward_time: 67.3287429810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8224868774
validation[          , genome  6063] predictions:    6202/  10000 (62.02%), best:    6214/10000 (62.14%), error:     11636.83203, best error:     11542.46387 on epoch:    92, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 974.4765014648s, input_fired_time: 7.9084815979, output_fired_time: 5.7235088348, propagate_forward_time: 333.6598510742, propagate_backward_time: 615.0175781250, weight_update_time: 2.7398798466, other_time: 12.1670532227
epoch time: 68.3493728638s, input_fired_time: 0.9598779678, output_fired_time: 0.0000000000, propagate_forward_time: 65.5925064087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7969894409
validation[          , genome  6063] predictions:    6187/  10000 (61.87%), best:    6214/10000 (62.14%), error:     11712.59570, best error:     11542.46387 on epoch:    92, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 969.2691650391s, input_fired_time: 7.7878050804, output_fired_time: 5.6712484360, propagate_forward_time: 331.5313720703, propagate_backward_time: 612.5076293945, weight_update_time: 2.7476637363, other_time: 11.7711181641
epoch time: 68.5217819214s, input_fired_time: 0.9569559097, output_fired_time: 0.0000000000, propagate_forward_time: 65.8240127563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7408142090
validation[          , genome  6063] predictions:    6175/  10000 (61.75%), best:    6214/10000 (62.14%), error:     11661.78223, best error:     11542.46387 on epoch:    92, 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: 342.3562316895s, input_fired_time: 4.7937531471, output_fired_time: 0.0000000000, propagate_forward_time: 328.7826232910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.7798461914
best training[          , genome  6063] predictions:   40714/  50000 (81.43%), best:    6214/10000 (62.14%), error:     28800.90820, best error:     11542.46387 on epoch:    92, 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: 69.8111877441s, input_fired_time: 1.0614652634, output_fired_time: 0.0000000000, propagate_forward_time: 66.9918136597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7579116821
   testing[          , genome  6063] predictions:    6214/  10000 (62.14%), best:    6214/10000 (62.14%), error:     11542.46387, best error:     11542.46387 on epoch:    92, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
08:15:45 (5904): called boinc_finish(0)

</stderr_txt>
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