Nameexact_genome_1512568488_42_4492_1
Workunit2593649
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:12:01 UTC
Report deadline13 Dec 2017, 5:42:06 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time4 hours 23 min 32 sec
CPU time3 hours 2 min 15 sec
Validate stateValid
Credit1,453.14
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size156.13 MB
Peak swap size159.17 MB
Peak disk usage2.08 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
39995, weight_decay: 0.0001317600

epoch time: 127.3588714600s, input_fired_time: 1.3981198072, output_fired_time: 1.4335289001, propagate_forward_time: 47.9541091919, propagate_backward_time: 73.2646636963, weight_update_time: 0.1564251184, other_time: 3.3084487915
epoch time: 8.6774168015s, input_fired_time: 0.1242174283, output_fired_time: 0.0000000000, propagate_forward_time: 7.9472737312, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6059260368
validation[          , genome  4492] predictions:    9592/  10000 (95.92%), best:    9639/10000 (96.39%), error:      1289.97449, best error:      1208.40417 on epoch:    22, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 114.0521469116s, input_fired_time: 1.2308818102, output_fired_time: 1.2393512726, propagate_forward_time: 42.7506713867, propagate_backward_time: 65.6959457397, weight_update_time: 0.1561856419, other_time: 3.1352996826
epoch time: 8.7355985641s, input_fired_time: 0.1502664983, output_fired_time: 0.0000000000, propagate_forward_time: 8.0707349777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5145969391
validation[          , genome  4492] predictions:    9648/  10000 (96.48%), best:    9648/10000 (96.48%), error:      1172.59644, best error:      1172.59644 on epoch:    28, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 117.0240020752s, input_fired_time: 1.2223144770, output_fired_time: 1.1524050236, propagate_forward_time: 44.1263618469, propagate_backward_time: 67.2671127319, weight_update_time: 0.1233266369, other_time: 3.2558059692
epoch time: 9.4626941681s, input_fired_time: 0.1507072896, output_fired_time: 0.0000000000, propagate_forward_time: 8.7052984238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6066884995
validation[          , genome  4492] predictions:    9639/  10000 (96.39%), best:    9648/10000 (96.48%), error:      1178.41785, best error:      1172.59644 on epoch:    28, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 120.5917587280s, input_fired_time: 1.3850479126, output_fired_time: 1.1347131729, propagate_forward_time: 45.3738594055, propagate_backward_time: 69.8105010986, weight_update_time: 0.1239267066, other_time: 2.8876342773
epoch time: 9.7358169556s, input_fired_time: 0.2221634835, output_fired_time: 0.0000000000, propagate_forward_time: 9.0087804794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5048732758
validation[          , genome  4492] predictions:    9643/  10000 (96.43%), best:    9648/10000 (96.48%), error:      1193.88123, best error:      1172.59644 on epoch:    28, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 113.1064987183s, input_fired_time: 1.2437131405, output_fired_time: 1.1811149120, propagate_forward_time: 42.2488822937, propagate_backward_time: 65.3688278198, weight_update_time: 0.1426612139, other_time: 3.0639572144
epoch time: 8.0851125717s, input_fired_time: 0.1331519634, output_fired_time: 0.0000000000, propagate_forward_time: 7.4963803291, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4555802345
validation[          , genome  4492] predictions:    9619/  10000 (96.19%), best:    9648/10000 (96.48%), error:      1323.50464, best error:      1172.59644 on epoch:    28, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 113.4158248901s, input_fired_time: 1.2453459501, output_fired_time: 1.2428712845, propagate_forward_time: 42.6891136169, propagate_backward_time: 65.1653442383, weight_update_time: 0.1577537209, other_time: 3.0731506348
epoch time: 11.3088378906s, input_fired_time: 0.1958681792, output_fired_time: 0.0000000000, propagate_forward_time: 10.6025733948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5103960037
validation[          , genome  4492] predictions:    9636/  10000 (96.36%), best:    9648/10000 (96.48%), error:      1222.68823, best error:      1172.59644 on epoch:    28, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 113.7798385620s, input_fired_time: 1.2797806263, output_fired_time: 1.0900563002, propagate_forward_time: 42.8946495056, propagate_backward_time: 65.6198730469, weight_update_time: 0.1441645920, other_time: 2.8954772949
epoch time: 10.3131618500s, input_fired_time: 0.1867795289, output_fired_time: 0.0000000000, propagate_forward_time: 9.5449838638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5813980103
validation[          , genome  4492] predictions:    9609/  10000 (96.09%), best:    9648/10000 (96.48%), error:      1247.64185, best error:      1172.59644 on epoch:    28, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 129.9604034424s, input_fired_time: 1.3390289545, output_fired_time: 1.3605829477, propagate_forward_time: 49.2109870911, propagate_backward_time: 74.5042343140, weight_update_time: 0.1301507205, other_time: 3.5455703735
epoch time: 10.3742570877s, input_fired_time: 0.1646463573, output_fired_time: 0.0000000000, propagate_forward_time: 9.6209583282, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5886526108
validation[          , genome  4492] predictions:    9530/  10000 (95.30%), best:    9648/10000 (96.48%), error:      1634.23718, best error:      1172.59644 on epoch:    28, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 125.0791397095s, input_fired_time: 1.3317325115, output_fired_time: 1.2530158758, propagate_forward_time: 47.2117958069, propagate_backward_time: 71.7899780273, weight_update_time: 0.1929367632, other_time: 3.4926147461
epoch time: 11.7230129242s, input_fired_time: 0.1718538702, output_fired_time: 0.0000000000, propagate_forward_time: 10.8283548355, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7228040695
validation[          , genome  4492] predictions:    9628/  10000 (96.28%), best:    9648/10000 (96.48%), error:      1225.97510, best error:      1172.59644 on epoch:    28, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 130.5928802490s, input_fired_time: 1.3881417513, output_fired_time: 1.4857933521, propagate_forward_time: 49.0832328796, propagate_backward_time: 75.1213455200, weight_update_time: 0.2620038092, other_time: 3.5143661499
epoch time: 11.5036411285s, input_fired_time: 0.1723930240, output_fired_time: 0.0000000000, propagate_forward_time: 10.6423482895, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6888999939
validation[          , genome  4492] predictions:    9588/  10000 (95.88%), best:    9648/10000 (96.48%), error:      1313.52197, best error:      1172.59644 on epoch:    28, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 197.1535034180s, input_fired_time: 2.1377472878, output_fired_time: 2.5474236012, propagate_forward_time: 73.0939636230, propagate_backward_time: 113.4090499878, weight_update_time: 0.4682828188, other_time: 5.9653244019
epoch time: 17.1587772369s, input_fired_time: 0.1905734837, output_fired_time: 0.0000000000, propagate_forward_time: 16.2991905212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6690139771
validation[          , genome  4492] predictions:    9659/  10000 (96.59%), best:    9659/10000 (96.59%), error:      1133.75330, best error:      1133.75330 on epoch:    37, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 210.1196746826s, input_fired_time: 2.5002281666, output_fired_time: 1.5517717600, propagate_forward_time: 79.9482345581, propagate_backward_time: 121.1213531494, weight_update_time: 0.4684087634, other_time: 4.9980850220
epoch time: 16.6332263947s, input_fired_time: 0.2051095366, output_fired_time: 0.0000000000, propagate_forward_time: 15.6654577255, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7626600266
validation[          , genome  4492] predictions:    9610/  10000 (96.10%), best:    9659/10000 (96.59%), error:      1303.12671, best error:      1133.75330 on epoch:    37, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 209.1894531250s, input_fired_time: 1.7809243202, output_fired_time: 1.9483294487, propagate_forward_time: 77.7637405396, propagate_backward_time: 122.2600631714, weight_update_time: 0.2809886038, other_time: 5.4363861084
epoch time: 16.9640522003s, input_fired_time: 0.2532922029, output_fired_time: 0.0000000000, propagate_forward_time: 15.5902023315, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1205577850
validation[          , genome  4492] predictions:    9623/  10000 (96.23%), best:    9659/10000 (96.59%), error:      1199.16370, best error:      1133.75330 on epoch:    37, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 210.6534118652s, input_fired_time: 2.7831578255, output_fired_time: 1.7812818289, propagate_forward_time: 78.9868011475, propagate_backward_time: 121.9076766968, weight_update_time: 0.2030914873, other_time: 5.1944961548
epoch time: 17.4450569153s, input_fired_time: 0.4549357593, output_fired_time: 0.0000000000, propagate_forward_time: 15.8351421356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1549797058
validation[          , genome  4492] predictions:    9633/  10000 (96.33%), best:    9659/10000 (96.59%), error:      1203.57800, best error:      1133.75330 on epoch:    37, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 217.5261077881s, input_fired_time: 2.8838710785, output_fired_time: 2.2921450138, propagate_forward_time: 82.7674560547, propagate_backward_time: 123.9384918213, weight_update_time: 0.2654625475, other_time: 5.6441497803
epoch time: 19.7151126862s, input_fired_time: 0.4886676371, output_fired_time: 0.0000000000, propagate_forward_time: 18.1825084686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0439357758
validation[          , genome  4492] predictions:    9627/  10000 (96.27%), best:    9659/10000 (96.59%), error:      1220.34546, best error:      1133.75330 on epoch:    37, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 229.6680297852s, input_fired_time: 3.9077935219, output_fired_time: 2.3138170242, propagate_forward_time: 88.4746627808, propagate_backward_time: 130.2405548096, weight_update_time: 0.4686020613, other_time: 4.7312164307
epoch time: 18.8886814117s, input_fired_time: 0.2239294499, output_fired_time: 0.0000000000, propagate_forward_time: 17.9334850311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7312660217
validation[          , genome  4492] predictions:    9676/  10000 (96.76%), best:    9659/10000 (96.59%), error:      1135.76733, best error:      1133.75330 on epoch:    37, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 224.2606964111s, input_fired_time: 2.0265209675, output_fired_time: 2.5641288757, propagate_forward_time: 85.3027191162, propagate_backward_time: 129.2429046631, weight_update_time: 0.1473261267, other_time: 5.1244201660
epoch time: 17.4948024750s, input_fired_time: 0.2057899535, output_fired_time: 0.0000000000, propagate_forward_time: 16.5509719849, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7380409241
validation[          , genome  4492] predictions:    9664/  10000 (96.64%), best:    9664/10000 (96.64%), error:      1082.55286, best error:      1082.55286 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 220.1896820068s, input_fired_time: 2.3986837864, output_fired_time: 2.3723425865, propagate_forward_time: 85.5895080566, propagate_backward_time: 124.1719360352, weight_update_time: 0.1401763558, other_time: 5.6572113037
epoch time: 17.7331333160s, input_fired_time: 0.1441141218, output_fired_time: 0.0000000000, propagate_forward_time: 16.8249855042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7640342712
validation[          , genome  4492] predictions:    9658/  10000 (96.58%), best:    9664/10000 (96.64%), error:      1091.61377, best error:      1082.55286 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 244.1178741455s, input_fired_time: 2.0668447018, output_fired_time: 2.9052984715, propagate_forward_time: 94.1589431763, propagate_backward_time: 139.1493530273, weight_update_time: 0.2182547301, other_time: 5.8374328613
epoch time: 21.7041320801s, input_fired_time: 0.3470045626, output_fired_time: 0.0000000000, propagate_forward_time: 20.2665672302, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0905609131
validation[          , genome  4492] predictions:    9652/  10000 (96.52%), best:    9664/10000 (96.64%), error:      1144.24194, best error:      1082.55286 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 250.0864562988s, input_fired_time: 3.2399055958, output_fired_time: 2.3114321232, propagate_forward_time: 91.2291259766, propagate_backward_time: 146.8078613281, weight_update_time: 0.1716892570, other_time: 6.4981384277
epoch time: 14.9604425430s, input_fired_time: 0.1445678174, output_fired_time: 0.0000000000, propagate_forward_time: 14.0688104630, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7470645905
validation[          , genome  4492] predictions:    9610/  10000 (96.10%), best:    9664/10000 (96.64%), error:      1246.82458, best error:      1082.55286 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 174.5780944824s, input_fired_time: 1.8473497629, output_fired_time: 2.0150837898, propagate_forward_time: 66.2612915039, propagate_backward_time: 99.7399368286, weight_update_time: 0.1402009428, other_time: 4.7144241333
epoch time: 13.7643804550s, input_fired_time: 0.1449497938, output_fired_time: 0.0000000000, propagate_forward_time: 12.7083263397, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9111042023
validation[          , genome  4492] predictions:    9659/  10000 (96.59%), best:    9664/10000 (96.64%), error:      1115.19043, best error:      1082.55286 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 169.9316711426s, input_fired_time: 1.5369334221, output_fired_time: 1.9337683916, propagate_forward_time: 64.2915573120, propagate_backward_time: 97.8145751953, weight_update_time: 0.3901845515, other_time: 4.3548507690
epoch time: 12.7864084244s, input_fired_time: 0.3948354721, output_fired_time: 0.0000000000, propagate_forward_time: 11.5668354034, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8247375488
validation[          , genome  4492] predictions:    9641/  10000 (96.41%), best:    9664/10000 (96.64%), error:      1201.73254, best error:      1082.55286 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 183.1169738770s, input_fired_time: 2.0367376804, output_fired_time: 2.1945927143, propagate_forward_time: 69.1836242676, propagate_backward_time: 106.0902862549, weight_update_time: 0.1401425898, other_time: 3.6117248535
epoch time: 16.0783443451s, input_fired_time: 0.4414894283, output_fired_time: 0.0000000000, propagate_forward_time: 14.3302087784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3066463470
validation[          , genome  4492] predictions:    9663/  10000 (96.63%), best:    9664/10000 (96.64%), error:      1101.59167, best error:      1082.55286 on epoch:    43, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 142.1167449951s, input_fired_time: 1.3232362270, output_fired_time: 1.0291765928, propagate_forward_time: 53.4929313660, propagate_backward_time: 82.4738464355, weight_update_time: 0.1670143455, other_time: 3.7975463867
epoch time: 10.9533672333s, input_fired_time: 0.1899171174, output_fired_time: 0.0000000000, propagate_forward_time: 10.2631626129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5002870560
validation[          , genome  4492] predictions:    9668/  10000 (96.68%), best:    9664/10000 (96.64%), error:      1171.14233, best error:      1082.55286 on epoch:    43, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 115.8129043579s, input_fired_time: 1.4104088545, output_fired_time: 1.0269012451, propagate_forward_time: 44.0103836060, propagate_backward_time: 66.3863983154, weight_update_time: 0.1289505661, other_time: 2.9788131714
epoch time: 9.2103338242s, input_fired_time: 0.1527119130, output_fired_time: 0.0000000000, propagate_forward_time: 8.4937324524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5638895035
validation[          , genome  4492] predictions:    9619/  10000 (96.19%), best:    9664/10000 (96.64%), error:      1259.30908, best error:      1082.55286 on epoch:    43, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4492.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4492_1_r1281288128_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: 0.955973
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000868035
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.47214e-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: 52
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 43
read number_validation_images: 10000
read best_validation_predictions: 9664
read best_validation_error: 1082.55
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: 4492
read normal distribution: '1 -1.00132513046265 0.250717312097549'
generator_str: '1930561745'
read generator: 1930561745
read generated_by_map:
1 enable_node 1
reading 25 nodes.
reading 61 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 108.082122802734s, input_fired_time: 1.17802321910858, output_fired_time: 0.995076537132263, propagate_forward_time: 40.7866172790527, propagate_backward_time: 62.2568740844727, weight_update_time: 0.125950783491135, other_time: 2.86553192138672
epoch time: 8.26118278503418s, input_fired_time: 0.124444931745529, output_fired_time: 0, propagate_forward_time: 7.55156564712524, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.585172176361084
validation[          , genome  4492] predictions:    9648/  10000 (96.48%), best:    9664/10000 (96.64%), error:      1137.27612, best error:      1082.55286 on epoch:    43, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 101.8492050171s, input_fired_time: 1.1174682379, output_fired_time: 0.9550480843, propagate_forward_time: 38.4324417114, propagate_backward_time: 58.7477684021, weight_update_time: 0.1315215230, other_time: 2.5964775085
epoch time: 8.3381967545s, input_fired_time: 0.1322198063, output_fired_time: 0.0000000000, propagate_forward_time: 7.6564040184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5495724678
validation[          , genome  4492] predictions:    9653/  10000 (96.53%), best:    9664/10000 (96.64%), error:      1166.04053, best error:      1082.55286 on epoch:    43, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 109.7433929443s, input_fired_time: 1.1866099834, output_fired_time: 1.0540030003, propagate_forward_time: 41.5589828491, propagate_backward_time: 63.0033874512, weight_update_time: 0.1277002990, other_time: 2.9404144287
epoch time: 8.4458904266s, input_fired_time: 0.1327732801, output_fired_time: 0.0000000000, propagate_forward_time: 7.8227877617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4903292656
validation[          , genome  4492] predictions:    9651/  10000 (96.51%), best:    9664/10000 (96.64%), error:      1113.57800, best error:      1082.55286 on epoch:    43, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 109.3566207886s, input_fired_time: 1.2481813431, output_fired_time: 0.9658437967, propagate_forward_time: 41.3568763733, propagate_backward_time: 62.9985389709, weight_update_time: 0.1422091573, other_time: 2.7871818542
epoch time: 8.2923097610s, input_fired_time: 0.1469704062, output_fired_time: 0.0000000000, propagate_forward_time: 7.6727185249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4726204872
validation[          , genome  4492] predictions:    9636/  10000 (96.36%), best:    9664/10000 (96.64%), error:      1164.28796, best error:      1082.55286 on epoch:    43, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 108.1276168823s, input_fired_time: 1.1629145145, output_fired_time: 1.0221515894, propagate_forward_time: 40.9642372131, propagate_backward_time: 62.0865898132, weight_update_time: 0.1571471691, other_time: 2.8917274475
epoch time: 8.7869930267s, input_fired_time: 0.1967952102, output_fired_time: 0.0000000000, propagate_forward_time: 8.0619297028, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5282678604
validation[          , genome  4492] predictions:    9610/  10000 (96.10%), best:    9664/10000 (96.64%), error:      1259.60181, best error:      1082.55286 on epoch:    43, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 103.5433883667s, input_fired_time: 1.1742397547, output_fired_time: 0.9520735741, propagate_forward_time: 38.9449882507, propagate_backward_time: 59.6935653687, weight_update_time: 0.1262554675, other_time: 2.7785224915
epoch time: 8.1013231277s, input_fired_time: 0.1305388659, output_fired_time: 0.0000000000, propagate_forward_time: 7.5179209709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4528632164
validation[          , genome  4492] predictions:    9615/  10000 (96.15%), best:    9664/10000 (96.64%), error:      1233.16199, best error:      1082.55286 on epoch:    43, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 103.9034347534s, input_fired_time: 1.0756218433, output_fired_time: 0.9461611509, propagate_forward_time: 39.2603874207, propagate_backward_time: 59.8732604980, weight_update_time: 0.1402421296, other_time: 2.7480049133
epoch time: 8.4144964218s, input_fired_time: 0.1299208850, output_fired_time: 0.0000000000, propagate_forward_time: 7.8373384476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4472370148
validation[          , genome  4492] predictions:    9628/  10000 (96.28%), best:    9664/10000 (96.64%), error:      1171.88159, best error:      1082.55286 on epoch:    43, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 99.5356597900s, input_fired_time: 1.0519244671, output_fired_time: 0.9030559063, propagate_forward_time: 37.5820426941, propagate_backward_time: 57.3927383423, weight_update_time: 0.1379508227, other_time: 2.6058998108
epoch time: 8.7383136749s, input_fired_time: 0.1342965066, output_fired_time: 0.0000000000, propagate_forward_time: 8.0343093872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5697078705
validation[          , genome  4492] predictions:    9662/  10000 (96.62%), best:    9664/10000 (96.64%), error:      1168.99500, best error:      1082.55286 on epoch:    43, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 101.7171325684s, input_fired_time: 1.1143530607, output_fired_time: 0.9100500941, propagate_forward_time: 38.6445884705, propagate_backward_time: 58.3409271240, weight_update_time: 0.1563669890, other_time: 2.7072181702
epoch time: 7.9522709846s, input_fired_time: 0.1260116696, output_fired_time: 0.0000000000, propagate_forward_time: 7.3485188484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4777402878
validation[          , genome  4492] predictions:    9649/  10000 (96.49%), best:    9664/10000 (96.64%), error:      1161.17493, best error:      1082.55286 on epoch:    43, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 99.9466171265s, input_fired_time: 1.0850306749, output_fired_time: 1.0462532043, propagate_forward_time: 37.7169761658, propagate_backward_time: 57.4407196045, weight_update_time: 0.1230641082, other_time: 2.6576423645
epoch time: 8.3713560104s, input_fired_time: 0.1799725741, output_fired_time: 0.0000000000, propagate_forward_time: 7.7192997932, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4720835686
validation[          , genome  4492] predictions:    9618/  10000 (96.18%), best:    9664/10000 (96.64%), error:      1226.19397, best error:      1082.55286 on epoch:    43, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 101.5768737793s, input_fired_time: 1.0784349442, output_fired_time: 1.0229809284, propagate_forward_time: 38.3362655640, propagate_backward_time: 58.4945335388, weight_update_time: 0.1219310611, other_time: 2.6446571350
epoch time: 8.1217889786s, input_fired_time: 0.1282978356, output_fired_time: 0.0000000000, propagate_forward_time: 7.5057287216, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4877624512
validation[          , genome  4492] predictions:    9655/  10000 (96.55%), best:    9664/10000 (96.64%), error:      1135.16846, best error:      1082.55286 on epoch:    43, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 103.7544937134s, input_fired_time: 1.1954488754, output_fired_time: 1.0038459301, propagate_forward_time: 39.1462669373, propagate_backward_time: 59.7704849243, weight_update_time: 0.1384933591, other_time: 2.6384468079
epoch time: 8.2612628937s, input_fired_time: 0.2046443522, output_fired_time: 0.0000000000, propagate_forward_time: 7.5424299240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5141887665
validation[          , genome  4492] predictions:    9650/  10000 (96.50%), best:    9664/10000 (96.64%), error:      1173.26819, best error:      1082.55286 on epoch:    43, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 100.0490798950s, input_fired_time: 1.1187152863, output_fired_time: 0.9084423184, propagate_forward_time: 37.3718452454, propagate_backward_time: 57.9237136841, weight_update_time: 0.1231368259, other_time: 2.7263679504
epoch time: 8.4423389435s, input_fired_time: 0.1837277114, output_fired_time: 0.0000000000, propagate_forward_time: 7.7971644402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4614472389
validation[          , genome  4492] predictions:    9649/  10000 (96.49%), best:    9664/10000 (96.64%), error:      1134.11951, best error:      1082.55286 on epoch:    43, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 101.8626785278s, input_fired_time: 1.1666579247, output_fired_time: 0.9729537964, propagate_forward_time: 38.3114013672, propagate_backward_time: 58.6141662598, weight_update_time: 0.1227133721, other_time: 2.7975006104
epoch time: 9.1027288437s, input_fired_time: 0.1426018476, output_fired_time: 0.0000000000, propagate_forward_time: 8.4188776016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5412492752
validation[          , genome  4492] predictions:    9613/  10000 (96.13%), best:    9664/10000 (96.64%), error:      1351.13879, best error:      1082.55286 on epoch:    43, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4492.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_42_4492_1_r1281288128_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: 0.973406
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000423319
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.69328e-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: 66
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 43
read number_validation_images: 10000
read best_validation_predictions: 9664
read best_validation_error: 1082.55
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: 4492
read normal distribution: '1 -1.00132513046265 0.250717312097549'
generator_str: '1213419455'
read generator: 1213419455
read generated_by_map:
1 enable_node 1
reading 25 nodes.
reading 61 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 166.953536987305s, input_fired_time: 2.14151358604431, output_fired_time: 2.1226053237915, propagate_forward_time: 64.8475952148438, propagate_backward_time: 93.231071472168, weight_update_time: 0.186594635248184, other_time: 4.61075592041016
epoch time: 14.550763130188s, input_fired_time: 0.194181054830551, output_fired_time: 0, propagate_forward_time: 12.9940633773804, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.36251831054688
validation[          , genome  4492] predictions:    9637/  10000 (96.37%), best:    9664/10000 (96.64%), error:      1180.16370, best error:      1082.55286 on epoch:    43, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 168.3572387695s, input_fired_time: 2.1918425560, output_fired_time: 1.7231203318, propagate_forward_time: 63.0610427856, propagate_backward_time: 97.9582672119, weight_update_time: 0.1395894587, other_time: 3.4229660034
epoch time: 14.2646055222s, input_fired_time: 0.4129835665, output_fired_time: 0.0000000000, propagate_forward_time: 13.2238531113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6277685165
validation[          , genome  4492] predictions:    9672/  10000 (96.72%), best:    9664/10000 (96.64%), error:      1157.28223, best error:      1082.55286 on epoch:    43, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 181.8567657471s, input_fired_time: 1.8874309063, output_fired_time: 1.4226714373, propagate_forward_time: 69.4882202148, propagate_backward_time: 103.7913665771, weight_update_time: 0.2024281621, other_time: 5.2670745850
epoch time: 15.6465644836s, input_fired_time: 0.2106273025, output_fired_time: 0.0000000000, propagate_forward_time: 14.4788541794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9570827484
validation[          , genome  4492] predictions:    9602/  10000 (96.02%), best:    9664/10000 (96.64%), error:      1268.07654, best error:      1082.55286 on epoch:    43, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 213.3377532959s, input_fired_time: 3.0792551041, output_fired_time: 1.6422712803, propagate_forward_time: 78.4766921997, propagate_backward_time: 124.6555252075, weight_update_time: 0.2490121126, other_time: 5.4840011597
epoch time: 20.1470756531s, input_fired_time: 0.3358603418, output_fired_time: 0.0000000000, propagate_forward_time: 18.6361331940, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1750812531
validation[          , genome  4492] predictions:    9672/  10000 (96.72%), best:    9664/10000 (96.64%), error:      1125.66235, best error:      1082.55286 on epoch:    43, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 235.0117950439s, input_fired_time: 2.2126104832, output_fired_time: 2.6738109589, propagate_forward_time: 87.9357299805, propagate_backward_time: 135.7705688477, weight_update_time: 0.2023231536, other_time: 6.4190673828
epoch time: 19.6123867035s, input_fired_time: 0.8192837238, output_fired_time: 0.0000000000, propagate_forward_time: 17.8237800598, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9693222046
validation[          , genome  4492] predictions:    9617/  10000 (96.17%), best:    9664/10000 (96.64%), error:      1208.92273, best error:      1082.55286 on epoch:    43, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 226.8999023438s, input_fired_time: 2.2988576889, output_fired_time: 1.8157097101, propagate_forward_time: 86.8016281128, propagate_backward_time: 130.8234863281, weight_update_time: 0.4366476238, other_time: 5.1602172852
epoch time: 14.8018922806s, input_fired_time: 0.5057049394, output_fired_time: 0.0000000000, propagate_forward_time: 12.8865642548, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4096231461
validation[          , genome  4492] predictions:    9622/  10000 (96.22%), best:    9664/10000 (96.64%), error:      1200.71558, best error:      1082.55286 on epoch:    43, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 189.4417572021s, input_fired_time: 2.6255807877, output_fired_time: 1.4867367744, propagate_forward_time: 75.0990219116, propagate_backward_time: 105.1874237061, weight_update_time: 0.1395725459, other_time: 5.0429916382
epoch time: 15.2628974915s, input_fired_time: 0.4276971519, output_fired_time: 0.0000000000, propagate_forward_time: 13.9734153748, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8617849350
validation[          , genome  4492] predictions:    9628/  10000 (96.28%), best:    9664/10000 (96.64%), error:      1193.40088, best error:      1082.55286 on epoch:    43, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 167.5717773438s, input_fired_time: 1.5586773157, output_fired_time: 1.9386410713, propagate_forward_time: 62.8031387329, propagate_backward_time: 97.2259063721, weight_update_time: 0.4209486246, other_time: 4.0454177856
epoch time: 13.2372827530s, input_fired_time: 0.1468103230, output_fired_time: 0.0000000000, propagate_forward_time: 11.4340391159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6564331055
validation[          , genome  4492] predictions:    9604/  10000 (96.04%), best:    9664/10000 (96.64%), error:      1311.75635, best error:      1082.55286 on epoch:    43, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 160.5859680176s, input_fired_time: 2.2480213642, output_fired_time: 1.3345340490, propagate_forward_time: 55.9441490173, propagate_backward_time: 97.1105651855, weight_update_time: 0.4203186333, other_time: 3.9486999512
epoch time: 13.0909490585s, input_fired_time: 0.1472470164, output_fired_time: 0.0000000000, propagate_forward_time: 12.4266910553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5170106888
validation[          , genome  4492] predictions:    9643/  10000 (96.43%), best:    9664/10000 (96.64%), error:      1194.08093, best error:      1082.55286 on epoch:    43, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 159.7068328857s, input_fired_time: 1.4984065294, output_fired_time: 1.8145663738, propagate_forward_time: 58.5948295593, propagate_backward_time: 94.0392684937, weight_update_time: 0.1392100453, other_time: 3.7597579956
epoch time: 12.5331602097s, input_fired_time: 0.1471671909, output_fired_time: 0.0000000000, propagate_forward_time: 11.8529415131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5330514908
validation[          , genome  4492] predictions:    9633/  10000 (96.33%), best:    9664/10000 (96.64%), error:      1184.53735, best error:      1082.55286 on epoch:    43, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 158.1711120605s, input_fired_time: 1.9381296635, output_fired_time: 2.4729850292, propagate_forward_time: 57.9405708313, propagate_backward_time: 91.0839767456, weight_update_time: 0.1707784534, other_time: 4.7354507446
epoch time: 12.2393674850s, input_fired_time: 0.1476398110, output_fired_time: 0.0000000000, propagate_forward_time: 11.0917329788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9999942780
validation[          , genome  4492] predictions:    9628/  10000 (96.28%), best:    9664/10000 (96.64%), error:      1187.67358, best error:      1082.55286 on epoch:    43, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 151.7543182373s, input_fired_time: 1.9210350513, output_fired_time: 1.5802044868, propagate_forward_time: 56.7745285034, propagate_backward_time: 86.8999557495, weight_update_time: 0.4360735118, other_time: 4.5785980225
epoch time: 12.7400426865s, input_fired_time: 0.4129025936, output_fired_time: 0.0000000000, propagate_forward_time: 11.0172710419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3098688126
validation[          , genome  4492] predictions:    9626/  10000 (96.26%), best:    9664/10000 (96.64%), error:      1199.52637, best error:      1082.55286 on epoch:    43, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 149.9739227295s, input_fired_time: 1.1740254164, output_fired_time: 1.3185836077, propagate_forward_time: 60.1109275818, propagate_backward_time: 83.7587661743, weight_update_time: 0.1398147345, other_time: 3.6116104126
epoch time: 12.6872739792s, input_fired_time: 0.1640605032, output_fired_time: 0.0000000000, propagate_forward_time: 10.9587488174, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5644645691
validation[          , genome  4492] predictions:    9650/  10000 (96.50%), best:    9664/10000 (96.64%), error:      1128.19727, best error:      1082.55286 on epoch:    43, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 148.4978027344s, input_fired_time: 1.7129747868, output_fired_time: 1.2746045589, propagate_forward_time: 58.9923591614, propagate_backward_time: 82.6427917480, weight_update_time: 0.4356320202, other_time: 3.8750762939
epoch time: 7.7323255539s, input_fired_time: 0.1424064785, output_fired_time: 0.0000000000, propagate_forward_time: 7.1127457619, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4771733284
validation[          , genome  4492] predictions:    9632/  10000 (96.32%), best:    9664/10000 (96.64%), error:      1213.81836, best error:      1082.55286 on epoch:    43, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 98.6016082764s, input_fired_time: 1.0862317085, output_fired_time: 0.9271186590, propagate_forward_time: 37.2701301575, propagate_backward_time: 56.6473312378, weight_update_time: 0.1243828088, other_time: 2.6707954407
epoch time: 8.0840396881s, input_fired_time: 0.1631582677, output_fired_time: 0.0000000000, propagate_forward_time: 7.4419388771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4789423943
validation[          , genome  4492] predictions:    9624/  10000 (96.24%), best:    9664/10000 (96.64%), error:      1241.53235, best error:      1082.55286 on epoch:    43, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 98.1816711426s, input_fired_time: 1.0508711338, output_fired_time: 0.8964677453, propagate_forward_time: 37.1341171265, propagate_backward_time: 56.6025695801, weight_update_time: 0.1235420853, other_time: 2.4976425171
epoch time: 8.0507841110s, input_fired_time: 0.1353827268, output_fired_time: 0.0000000000, propagate_forward_time: 7.4587378502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4566636086
validation[          , genome  4492] predictions:    9642/  10000 (96.42%), best:    9664/10000 (96.64%), error:      1153.12854, best error:      1082.55286 on epoch:    43, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 98.7652130127s, input_fired_time: 1.1169099808, output_fired_time: 1.0383187532, propagate_forward_time: 36.8153800964, propagate_backward_time: 57.1074867249, weight_update_time: 0.1238528490, other_time: 2.6871109009
epoch time: 7.8559174538s, input_fired_time: 0.1318370253, output_fired_time: 0.0000000000, propagate_forward_time: 7.2817125320, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4423680305
validation[          , genome  4492] predictions:    9640/  10000 (96.40%), best:    9664/10000 (96.64%), error:      1138.37268, best error:      1082.55286 on epoch:    43, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 97.5739517212s, input_fired_time: 1.0513306856, output_fired_time: 0.8968319893, propagate_forward_time: 37.1239280701, propagate_backward_time: 55.9867897034, weight_update_time: 0.1235174984, other_time: 2.5150680542
epoch time: 7.8745698929s, input_fired_time: 0.1317474544, output_fired_time: 0.0000000000, propagate_forward_time: 7.2700457573, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4727768898
validation[          , genome  4492] predictions:    9656/  10000 (96.56%), best:    9664/10000 (96.64%), error:      1194.79541, best error:      1082.55286 on epoch:    43, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 98.7230300903s, input_fired_time: 1.1079169512, output_fired_time: 0.9191375375, propagate_forward_time: 37.2667236328, propagate_backward_time: 56.7854995728, weight_update_time: 0.1223731861, other_time: 2.6437530518
epoch time: 7.4395008087s, input_fired_time: 0.1274302006, output_fired_time: 0.0000000000, propagate_forward_time: 6.8722696304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4398012161
validation[          , genome  4492] predictions:    9643/  10000 (96.43%), best:    9664/10000 (96.64%), error:      1182.88257, best error:      1082.55286 on epoch:    43, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 97.1198348999s, input_fired_time: 1.0987375975, output_fired_time: 0.9578383565, propagate_forward_time: 36.6855773926, propagate_backward_time: 55.7985610962, weight_update_time: 0.1232963130, other_time: 2.5791168213
epoch time: 7.8815183640s, input_fired_time: 0.1480780393, output_fired_time: 0.0000000000, propagate_forward_time: 7.2882094383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4452309608
validation[          , genome  4492] predictions:    9661/  10000 (96.61%), best:    9664/10000 (96.64%), error:      1102.48059, best error:      1082.55286 on epoch:    43, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 92.5267944336s, input_fired_time: 1.0451134443, output_fired_time: 0.8657561541, propagate_forward_time: 34.8301544189, propagate_backward_time: 53.3089179993, weight_update_time: 0.1199539378, other_time: 2.4768562317
epoch time: 7.6874608994s, input_fired_time: 0.1328442097, output_fired_time: 0.0000000000, propagate_forward_time: 7.0955929756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4590239525
validation[          , genome  4492] predictions:    9647/  10000 (96.47%), best:    9664/10000 (96.64%), error:      1145.23083, best error:      1082.55286 on epoch:    43, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 94.5179901123s, input_fired_time: 1.0641609430, output_fired_time: 0.8695343137, propagate_forward_time: 35.5431861877, propagate_backward_time: 54.5278091431, weight_update_time: 0.1200788915, other_time: 2.5132942200
epoch time: 7.6438579559s, input_fired_time: 0.1303082258, output_fired_time: 0.0000000000, propagate_forward_time: 7.0461401939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4674096107
validation[          , genome  4492] predictions:    9639/  10000 (96.39%), best:    9664/10000 (96.64%), error:      1151.23987, best error:      1082.55286 on epoch:    43, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 94.0061264038s, input_fired_time: 1.0436878204, output_fired_time: 0.9849198461, propagate_forward_time: 35.3635978699, propagate_backward_time: 53.9600868225, weight_update_time: 0.1351667941, other_time: 2.6538391113
epoch time: 7.7625141144s, input_fired_time: 0.1346403360, output_fired_time: 0.0000000000, propagate_forward_time: 7.1789860725, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4488878250
validation[          , genome  4492] predictions:    9652/  10000 (96.52%), best:    9664/10000 (96.64%), error:      1157.61035, best error:      1082.55286 on epoch:    43, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 94.1897811890s, input_fired_time: 1.0582311153, output_fired_time: 0.8745096326, propagate_forward_time: 35.3437919617, propagate_backward_time: 54.3929634094, weight_update_time: 0.1188121736, other_time: 2.5202865601
epoch time: 7.7865886688s, input_fired_time: 0.1595019996, output_fired_time: 0.0000000000, propagate_forward_time: 7.1976161003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4294705391
validation[          , genome  4492] predictions:    9636/  10000 (96.36%), best:    9664/10000 (96.64%), error:      1228.92505, best error:      1082.55286 on epoch:    43, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 93.5935363770s, input_fired_time: 1.0584123135, output_fired_time: 0.8903865218, propagate_forward_time: 35.1060104370, propagate_backward_time: 54.0381278992, weight_update_time: 0.1346394569, other_time: 2.5005989075
epoch time: 7.4041967392s, input_fired_time: 0.1292094290, output_fired_time: 0.0000000000, propagate_forward_time: 6.8159518242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4590353966
validation[          , genome  4492] predictions:    9654/  10000 (96.54%), best:    9664/10000 (96.64%), error:      1203.66980, best error:      1082.55286 on epoch:    43, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 93.0943222046s, input_fired_time: 1.1368541718, output_fired_time: 0.9049217105, propagate_forward_time: 35.2406730652, propagate_backward_time: 53.3424377441, weight_update_time: 0.1185884252, other_time: 2.4694328308
epoch time: 8.0101947784s, input_fired_time: 0.1291838437, output_fired_time: 0.0000000000, propagate_forward_time: 7.4488396645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4321713448
validation[          , genome  4492] predictions:    9650/  10000 (96.50%), best:    9664/10000 (96.64%), error:      1136.21301, best error:      1082.55286 on epoch:    43, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 92.9022521973s, input_fired_time: 1.0886329412, output_fired_time: 0.9185505509, propagate_forward_time: 34.8472404480, propagate_backward_time: 53.6035881042, weight_update_time: 0.1189836413, other_time: 2.4442443848
epoch time: 7.5801029205s, input_fired_time: 0.1298269033, output_fired_time: 0.0000000000, propagate_forward_time: 6.9850072861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4652686119
validation[          , genome  4492] predictions:    9604/  10000 (96.04%), best:    9664/10000 (96.64%), error:      1240.12720, best error:      1082.55286 on epoch:    43, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 93.0753707886s, input_fired_time: 1.0334697962, output_fired_time: 0.9067352414, propagate_forward_time: 35.1095466614, propagate_backward_time: 53.5164794922, weight_update_time: 0.1193174794, other_time: 2.5091362000
epoch time: 7.6577863693s, input_fired_time: 0.1340617388, output_fired_time: 0.0000000000, propagate_forward_time: 7.0783977509, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4453268051
validation[          , genome  4492] predictions:    9544/  10000 (95.44%), best:    9664/10000 (96.64%), error:      1514.94397, best error:      1082.55286 on epoch:    43, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 91.3138961792s, input_fired_time: 1.0369448662, output_fired_time: 0.8666572571, propagate_forward_time: 34.3237953186, propagate_backward_time: 52.6796569824, weight_update_time: 0.1200035810, other_time: 2.4068412781
epoch time: 7.6571946144s, input_fired_time: 0.1320613176, output_fired_time: 0.0000000000, propagate_forward_time: 7.0839591026, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4411740303
validation[          , genome  4492] predictions:    9643/  10000 (96.43%), best:    9664/10000 (96.64%), error:      1162.89905, best error:      1082.55286 on epoch:    43, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 91.3858947754s, input_fired_time: 1.0725295544, output_fired_time: 0.8993023038, propagate_forward_time: 34.4319038391, propagate_backward_time: 52.5576019287, weight_update_time: 0.1184491441, other_time: 2.4245567322
epoch time: 7.2017951012s, input_fired_time: 0.1290153861, output_fired_time: 0.0000000000, propagate_forward_time: 6.6469869614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4257926941
validation[          , genome  4492] predictions:    9644/  10000 (96.44%), best:    9664/10000 (96.64%), error:      1173.34680, best error:      1082.55286 on epoch:    43, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 89.2400360107s, input_fired_time: 1.0278719664, output_fired_time: 0.8546583652, propagate_forward_time: 33.6054229736, propagate_backward_time: 51.3630561829, weight_update_time: 0.1181644648, other_time: 2.3890266418
epoch time: 7.0161981583s, input_fired_time: 0.1271091700, output_fired_time: 0.0000000000, propagate_forward_time: 6.4703116417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4187774658
validation[          , genome  4492] predictions:    9644/  10000 (96.44%), best:    9664/10000 (96.64%), error:      1227.64734, best error:      1082.55286 on epoch:    43, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 88.5479736328s, input_fired_time: 1.0241882801, output_fired_time: 0.8469775915, propagate_forward_time: 33.3541679382, propagate_backward_time: 50.9466552734, weight_update_time: 0.1175930128, other_time: 2.3759880066
epoch time: 7.0131506920s, input_fired_time: 0.1259489954, output_fired_time: 0.0000000000, propagate_forward_time: 6.4680047035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4191970825
validation[          , genome  4492] predictions:    9656/  10000 (96.56%), best:    9664/10000 (96.64%), error:      1137.28650, best error:      1082.55286 on epoch:    43, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 88.6051940918s, input_fired_time: 1.0191522837, output_fired_time: 0.8464941978, propagate_forward_time: 33.1403923035, propagate_backward_time: 51.2258262634, weight_update_time: 0.1178086326, other_time: 2.3733291626
epoch time: 7.1421227455s, input_fired_time: 0.1284695566, output_fired_time: 0.0000000000, propagate_forward_time: 6.5903134346, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4233398438
validation[          , genome  4492] predictions:    9553/  10000 (95.53%), best:    9664/10000 (96.64%), error:      1468.83386, best error:      1082.55286 on epoch:    43, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 88.9306640625s, input_fired_time: 1.0231101513, output_fired_time: 0.8525095582, propagate_forward_time: 33.3654289246, propagate_backward_time: 51.3137817383, weight_update_time: 0.1174010187, other_time: 2.3758354187
epoch time: 7.0482749939s, input_fired_time: 0.1266222447, output_fired_time: 0.0000000000, propagate_forward_time: 6.5014104843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4202423096
validation[          , genome  4492] predictions:    9609/  10000 (96.09%), best:    9664/10000 (96.64%), error:      1264.90869, best error:      1082.55286 on epoch:    43, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 87.1778106689s, input_fired_time: 1.0121357441, output_fired_time: 0.8345167041, propagate_forward_time: 32.6790390015, propagate_backward_time: 50.3080558777, weight_update_time: 0.1155588329, other_time: 2.3440589905
epoch time: 6.8998064995s, input_fired_time: 0.1242408752, output_fired_time: 0.0000000000, propagate_forward_time: 6.3622126579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4133529663
validation[          , genome  4492] predictions:    9634/  10000 (96.34%), best:    9664/10000 (96.64%), error:      1165.61414, best error:      1082.55286 on epoch:    43, 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: 35.7853507996s, input_fired_time: 0.6122210026, output_fired_time: 0.0000000000, propagate_forward_time: 32.9794044495, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1937255859
best training[          , genome  4492] predictions:   49055/  50000 (98.11%), best:    9664/10000 (96.64%), error:      3343.39746, best error:      1082.55286 on epoch:    43, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 7.2198424339s, input_fired_time: 0.1219076738, output_fired_time: 0.0000000000, propagate_forward_time: 6.6653499603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4325847626
   testing[          , genome  4492] predictions:    9718/  10000 (97.18%), best:    9664/10000 (96.64%), error:       948.39148, best error:      1082.55286 on epoch:    43, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:54:10 (9380): called boinc_finish(0)

</stderr_txt>
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