Nameexact_genome_1512568488_44_4476_0
Workunit2593684
Created7 Dec 2017, 10:09:20 UTC
Sent7 Dec 2017, 10:13:12 UTC
Report deadline14 Dec 2017, 10:06:06 UTC
Received8 Dec 2017, 0:12:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64142
Run time3 hours 0 min 45 sec
CPU time2 hours 36 min 53 sec
Validate stateValid
Credit1,748.77
Device peak FLOPS3.08 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size155.17 MB
Peak swap size158.17 MB
Peak disk usage1.86 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
_time: 1.4994937181, propagate_forward_time: 30.3035125732, propagate_backward_time: 56.1790046692, weight_update_time: 0.0924073160, other_time: 3.0082969666
epoch time: 7.1041812897s, input_fired_time: 0.1106143296, output_fired_time: 0.0000000000, propagate_forward_time: 6.3875942230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6059727669
validation[          , genome  4476] predictions:    9645/  10000 (96.45%), best:    9726/10000 (97.26%), error:      1111.24841, best error:       943.38226 on epoch:    25, epoch:   27/100, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 91.5286712646s, input_fired_time: 0.9662769437, output_fired_time: 0.7449977994, propagate_forward_time: 32.1261177063, propagate_backward_time: 55.1996078491, weight_update_time: 0.0912153870, other_time: 2.4916725159
epoch time: 7.0116000175s, input_fired_time: 0.1101780683, output_fired_time: 0.0000000000, propagate_forward_time: 6.3009057045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6005163193
validation[          , genome  4476] predictions:    9708/  10000 (97.08%), best:    9726/10000 (97.26%), error:       953.66449, best error:       943.38226 on epoch:    25, epoch:   28/100, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 91.5075073242s, input_fired_time: 1.4718526602, output_fired_time: 0.9976519346, propagate_forward_time: 32.7251739502, propagate_backward_time: 52.5634994507, weight_update_time: 0.0914867222, other_time: 3.7493286133
epoch time: 6.9862804413s, input_fired_time: 0.1078817248, output_fired_time: 0.0000000000, propagate_forward_time: 6.5297064781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3486924171
validation[          , genome  4476] predictions:    9714/  10000 (97.14%), best:    9714/10000 (97.14%), error:       922.74921, best error:       922.74921 on epoch:    29, epoch:   29/100, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 91.3649902344s, input_fired_time: 1.2151449919, output_fired_time: 0.7469416261, propagate_forward_time: 35.3467521667, propagate_backward_time: 51.8287620544, weight_update_time: 0.0904990658, other_time: 2.2273941040
epoch time: 6.9765343666s, input_fired_time: 0.1087577716, output_fired_time: 0.0000000000, propagate_forward_time: 6.5183696747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3494067192
validation[          , genome  4476] predictions:    9675/  10000 (96.75%), best:    9714/10000 (97.14%), error:      1012.17725, best error:       922.74921 on epoch:    29, epoch:   30/100, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 91.1312942505s, input_fired_time: 1.4621560574, output_fired_time: 0.7453725338, propagate_forward_time: 34.3056221008, propagate_backward_time: 52.6436576843, weight_update_time: 0.0902937278, other_time: 1.9744873047
epoch time: 7.0562629700s, input_fired_time: 0.1115016043, output_fired_time: 0.0000000000, propagate_forward_time: 6.3423771858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6023840904
validation[          , genome  4476] predictions:    9724/  10000 (97.24%), best:    9714/10000 (97.14%), error:       925.94928, best error:       922.74921 on epoch:    29, epoch:   31/100, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 82.5176696777s, input_fired_time: 1.2105133533, output_fired_time: 0.9925875068, propagate_forward_time: 29.7815151215, propagate_backward_time: 48.3223381042, weight_update_time: 0.0898293704, other_time: 2.2107200623
epoch time: 5.2639584541s, input_fired_time: 0.1094525978, output_fired_time: 0.0000000000, propagate_forward_time: 4.8060884476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3484172821
validation[          , genome  4476] predictions:    9695/  10000 (96.95%), best:    9714/10000 (97.14%), error:       989.11292, best error:       922.74921 on epoch:    29, epoch:   32/100, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 67.8172378540s, input_fired_time: 0.9568325877, output_fired_time: 0.7383559346, propagate_forward_time: 23.8296146393, propagate_backward_time: 40.3608741760, weight_update_time: 0.0885631517, other_time: 1.9315605164
epoch time: 5.2143659592s, input_fired_time: 0.1086067557, output_fired_time: 0.0000000000, propagate_forward_time: 4.7615036964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3442554474
validation[          , genome  4476] predictions:    9729/  10000 (97.29%), best:    9729/10000 (97.29%), error:       897.20868, best error:       897.20868 on epoch:    33, epoch:   33/100, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 67.9434356689s, input_fired_time: 0.9573771954, output_fired_time: 0.7397819757, propagate_forward_time: 23.8902931213, propagate_backward_time: 40.4266014099, weight_update_time: 0.0887746289, other_time: 1.9293823242
epoch time: 5.2133316994s, input_fired_time: 0.1083179563, output_fired_time: 0.0000000000, propagate_forward_time: 4.7603964806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3446173668
validation[          , genome  4476] predictions:    9647/  10000 (96.47%), best:    9729/10000 (97.29%), error:      1117.83960, best error:       897.20868 on epoch:    33, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 67.8892135620s, input_fired_time: 0.9584559798, output_fired_time: 0.7393540144, propagate_forward_time: 23.8628578186, propagate_backward_time: 40.3933944702, weight_update_time: 0.0886430070, other_time: 1.9351463318
epoch time: 5.2141232491s, input_fired_time: 0.1084484905, output_fired_time: 0.0000000000, propagate_forward_time: 4.7603759766, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3452987671
validation[          , genome  4476] predictions:    9633/  10000 (96.33%), best:    9729/10000 (97.29%), error:      1233.35266, best error:       897.20868 on epoch:    33, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 67.7783813477s, input_fired_time: 0.9577434659, output_fired_time: 0.7380887866, propagate_forward_time: 23.8258152008, propagate_backward_time: 40.3293800354, weight_update_time: 0.0885442123, other_time: 1.9273567200
epoch time: 5.2159042358s, input_fired_time: 0.1106567681, output_fired_time: 0.0000000000, propagate_forward_time: 4.7604722977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3447751999
validation[          , genome  4476] predictions:    9686/  10000 (96.86%), best:    9729/10000 (97.29%), error:      1041.52136, best error:       897.20868 on epoch:    33, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 67.8792877197s, input_fired_time: 0.9615694284, output_fired_time: 0.7399841547, propagate_forward_time: 23.8598480225, propagate_backward_time: 40.3866691589, weight_update_time: 0.0887116343, other_time: 1.9312171936
epoch time: 5.2633109093s, input_fired_time: 0.1114950180, output_fired_time: 0.0000000000, propagate_forward_time: 4.8043470383, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3474688530
validation[          , genome  4476] predictions:    9664/  10000 (96.64%), best:    9729/10000 (97.29%), error:      1049.16724, best error:       897.20868 on epoch:    33, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 67.9635543823s, input_fired_time: 0.9612972736, output_fired_time: 0.7399126887, propagate_forward_time: 23.8765316010, propagate_backward_time: 40.4434890747, weight_update_time: 0.0890357345, other_time: 1.9423217773
epoch time: 5.2165236473s, input_fired_time: 0.1083891168, output_fired_time: 0.0000000000, propagate_forward_time: 4.7619075775, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3462271690
validation[          , genome  4476] predictions:    9644/  10000 (96.44%), best:    9729/10000 (97.29%), error:      1131.68713, best error:       897.20868 on epoch:    33, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 67.8352737427s, input_fired_time: 0.9612037539, output_fired_time: 0.7385974526, propagate_forward_time: 23.8268299103, propagate_backward_time: 40.3645248413, weight_update_time: 0.0889809206, other_time: 1.9441223145
epoch time: 5.2155518532s, input_fired_time: 0.1098088920, output_fired_time: 0.0000000000, propagate_forward_time: 4.7597107887, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3460321426
validation[          , genome  4476] predictions:    9710/  10000 (97.10%), best:    9729/10000 (97.29%), error:       943.01050, best error:       897.20868 on epoch:    33, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 67.8393173218s, input_fired_time: 0.9631634355, output_fired_time: 0.7388428450, propagate_forward_time: 23.8243846893, propagate_backward_time: 40.3739776611, weight_update_time: 0.0888785347, other_time: 1.9389419556
epoch time: 5.2162971497s, input_fired_time: 0.1091228575, output_fired_time: 0.0000000000, propagate_forward_time: 4.7619495392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3452248573
validation[          , genome  4476] predictions:    9720/  10000 (97.20%), best:    9729/10000 (97.29%), error:       942.93927, best error:       897.20868 on epoch:    33, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 68.0202331543s, input_fired_time: 0.9641993642, output_fired_time: 0.7402866483, propagate_forward_time: 23.8895664215, propagate_backward_time: 40.4793167114, weight_update_time: 0.0891570896, other_time: 1.9468612671
epoch time: 5.2170548439s, input_fired_time: 0.1101939678, output_fired_time: 0.0000000000, propagate_forward_time: 4.7616014481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3452596664
validation[          , genome  4476] predictions:    9658/  10000 (96.58%), best:    9729/10000 (97.29%), error:      1047.51135, best error:       897.20868 on epoch:    33, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 67.9386901855s, input_fired_time: 0.9643065929, output_fired_time: 0.7393889427, propagate_forward_time: 23.8681659698, propagate_backward_time: 40.4244689941, weight_update_time: 0.0888073668, other_time: 1.9423599243
epoch time: 5.2391576767s, input_fired_time: 0.1107054502, output_fired_time: 0.0000000000, propagate_forward_time: 4.7826118469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3458404541
validation[          , genome  4476] predictions:    9695/  10000 (96.95%), best:    9729/10000 (97.29%), error:      1005.60535, best error:       897.20868 on epoch:    33, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 67.8384399414s, input_fired_time: 0.9621733427, output_fired_time: 0.7385251522, propagate_forward_time: 23.8503150940, propagate_backward_time: 40.3506126404, weight_update_time: 0.0887899995, other_time: 1.9368133545
epoch time: 5.2149043083s, input_fired_time: 0.1117407307, output_fired_time: 0.0000000000, propagate_forward_time: 4.7594432831, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3437204361
validation[          , genome  4476] predictions:    9700/  10000 (97.00%), best:    9729/10000 (97.29%), error:      1006.69452, best error:       897.20868 on epoch:    33, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 67.8146896362s, input_fired_time: 0.9627487063, output_fired_time: 0.7378403544, propagate_forward_time: 23.8290214539, propagate_backward_time: 40.3477821350, weight_update_time: 0.0886429995, other_time: 1.9373016357
epoch time: 5.2348632813s, input_fired_time: 0.1099425703, output_fired_time: 0.0000000000, propagate_forward_time: 4.7795429230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3453779221
validation[          , genome  4476] predictions:    9693/  10000 (96.93%), best:    9729/10000 (97.29%), error:       973.65955, best error:       897.20868 on epoch:    33, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 67.8239746094s, input_fired_time: 0.9620691538, output_fired_time: 0.7379616499, propagate_forward_time: 23.8453025818, propagate_backward_time: 40.3459930420, weight_update_time: 0.0887991711, other_time: 1.9326515198
epoch time: 5.2162952423s, input_fired_time: 0.1094571799, output_fired_time: 0.0000000000, propagate_forward_time: 4.7620100975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3448281288
validation[          , genome  4476] predictions:    9706/  10000 (97.06%), best:    9729/10000 (97.29%), error:       937.21790, best error:       897.20868 on epoch:    33, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 67.8142395020s, input_fired_time: 0.9638608694, output_fired_time: 0.7385197282, propagate_forward_time: 23.8175487518, propagate_backward_time: 40.3596992493, weight_update_time: 0.0884105787, other_time: 1.9346122742
epoch time: 5.2168898582s, input_fired_time: 0.1100680158, output_fired_time: 0.0000000000, propagate_forward_time: 4.7610535622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3457684517
validation[          , genome  4476] predictions:    9666/  10000 (96.66%), best:    9729/10000 (97.29%), error:      1057.61084, best error:       897.20868 on epoch:    33, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 67.8938369751s, input_fired_time: 0.9647642970, output_fired_time: 0.7395673990, propagate_forward_time: 23.8619937897, propagate_backward_time: 40.3924713135, weight_update_time: 0.0885329694, other_time: 1.9350357056
epoch time: 5.2161936760s, input_fired_time: 0.1122573391, output_fired_time: 0.0000000000, propagate_forward_time: 4.7599205971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3440155983
validation[          , genome  4476] predictions:    9664/  10000 (96.64%), best:    9729/10000 (97.29%), error:      1154.53760, best error:       897.20868 on epoch:    33, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 67.7904052734s, input_fired_time: 0.9645898342, output_fired_time: 0.7378625870, propagate_forward_time: 23.8141727448, propagate_backward_time: 40.3485221863, weight_update_time: 0.0883558020, other_time: 1.9252586365
epoch time: 5.2485284805s, input_fired_time: 0.1095713452, output_fired_time: 0.0000000000, propagate_forward_time: 4.7923970222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3465600014
validation[          , genome  4476] predictions:    9717/  10000 (97.17%), best:    9729/10000 (97.29%), error:       963.57855, best error:       897.20868 on epoch:    33, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 67.8141937256s, input_fired_time: 0.9648317695, output_fired_time: 0.7384174466, propagate_forward_time: 23.8260192871, propagate_backward_time: 40.3571548462, weight_update_time: 0.0884003416, other_time: 1.9277725220
epoch time: 5.2178401947s, input_fired_time: 0.1112635583, output_fired_time: 0.0000000000, propagate_forward_time: 4.7621474266, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3444290161
validation[          , genome  4476] predictions:    9637/  10000 (96.37%), best:    9729/10000 (97.29%), error:      1128.66248, best error:       897.20868 on epoch:    33, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 67.8129119873s, input_fired_time: 0.9651708007, output_fired_time: 0.7383953333, propagate_forward_time: 23.8230533600, propagate_backward_time: 40.3594627380, weight_update_time: 0.0883235261, other_time: 1.9268302917
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_44_4476.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4476_0_r95748985_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.952297
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000961811
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.84725e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 50
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 33
read number_validation_images: 10000
read best_validation_predictions: 9729
read best_validation_error: 897.209
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: 4476
read normal distribution: '1 0 0'
generator_str: '539601945'
read generator: 539601945
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 44 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: 71.592399597168s, input_fired_time: 0.998413741588593, output_fired_time: 0.77447235584259, propagate_forward_time: 25.3244876861572, propagate_backward_time: 42.4394950866699, weight_update_time: 0.0961405038833618, other_time: 2.0555305480957
epoch time: 5.44196271896362s, input_fired_time: 0.115014217793941, output_fired_time: 0, propagate_forward_time: 4.9655237197876, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.361424922943115
validation[          , genome  4476] predictions:    9726/  10000 (97.26%), best:    9729/10000 (97.29%), error:       955.27716, best error:       897.20868 on epoch:    33, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 79.1624069214s, input_fired_time: 1.0553981066, output_fired_time: 0.8462933302, propagate_forward_time: 28.4151535034, propagate_backward_time: 46.6723175049, weight_update_time: 0.1031253561, other_time: 2.1732482910
epoch time: 6.6457276344s, input_fired_time: 0.1291682422, output_fired_time: 0.0000000000, propagate_forward_time: 6.1079778671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4085817337
validation[          , genome  4476] predictions:    9727/  10000 (97.27%), best:    9729/10000 (97.29%), error:       929.65051, best error:       897.20868 on epoch:    33, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 77.9166030884s, input_fired_time: 1.0442659855, output_fired_time: 0.8348536491, propagate_forward_time: 27.8739681244, propagate_backward_time: 46.0063514709, weight_update_time: 0.1022851616, other_time: 2.1571617126
epoch time: 6.2453846931s, input_fired_time: 0.1244444102, output_fired_time: 0.0000000000, propagate_forward_time: 5.7314772606, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3894629478
validation[          , genome  4476] predictions:    9735/  10000 (97.35%), best:    9729/10000 (97.29%), error:       905.09235, best error:       897.20868 on epoch:    33, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 77.1704711914s, input_fired_time: 1.0396342278, output_fired_time: 0.8240579367, propagate_forward_time: 27.5599689484, propagate_backward_time: 45.5923461914, weight_update_time: 0.1016778871, other_time: 2.1544647217
epoch time: 5.9471020699s, input_fired_time: 0.1206283867, output_fired_time: 0.0000000000, propagate_forward_time: 5.4449725151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3815011978
validation[          , genome  4476] predictions:    9720/  10000 (97.20%), best:    9729/10000 (97.29%), error:       924.04218, best error:       897.20868 on epoch:    33, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 75.5193634033s, input_fired_time: 1.0278332233, output_fired_time: 0.8146116734, propagate_forward_time: 26.8795814514, propagate_backward_time: 44.6849555969, weight_update_time: 0.0996241942, other_time: 2.1123809814
epoch time: 6.1886396408s, input_fired_time: 0.1249103621, output_fired_time: 0.0000000000, propagate_forward_time: 5.6739945412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3897347450
validation[          , genome  4476] predictions:    9704/  10000 (97.04%), best:    9729/10000 (97.29%), error:      1000.16431, best error:       897.20868 on epoch:    33, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 77.1115417480s, input_fired_time: 1.0389132500, output_fired_time: 0.8229460120, propagate_forward_time: 27.5417327881, propagate_backward_time: 45.5650749207, weight_update_time: 0.1015709266, other_time: 2.1428794861
epoch time: 5.9473018646s, input_fired_time: 0.1224829108, output_fired_time: 0.0000000000, propagate_forward_time: 5.4450731277, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3797459602
validation[          , genome  4476] predictions:    9740/  10000 (97.40%), best:    9740/10000 (97.40%), error:       846.85870, best error:       846.85870 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 78.3581390381s, input_fired_time: 1.0491701365, output_fired_time: 0.8376569152, propagate_forward_time: 28.1104602814, propagate_backward_time: 46.1965026855, weight_update_time: 0.1025365219, other_time: 2.1643524170
epoch time: 5.2271928787s, input_fired_time: 0.1111300811, output_fired_time: 0.0000000000, propagate_forward_time: 4.7628326416, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.3532299995
validation[          , genome  4476] predictions:    9720/  10000 (97.20%), best:    9740/10000 (97.40%), error:       897.70770, best error:       846.85870 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 106.9394531250s, input_fired_time: 1.1241811514, output_fired_time: 1.6759725809, propagate_forward_time: 40.7480659485, propagate_backward_time: 60.5138549805, weight_update_time: 0.1127997562, other_time: 2.8773765564
epoch time: 9.5234193802s, input_fired_time: 0.1347286850, output_fired_time: 0.0000000000, propagate_forward_time: 8.9638442993, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4248466492
validation[          , genome  4476] predictions:    9727/  10000 (97.27%), best:    9740/10000 (97.40%), error:       852.48962, best error:       846.85870 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 123.2554779053s, input_fired_time: 1.1507869959, output_fired_time: 1.4737550020, propagate_forward_time: 44.2832870483, propagate_backward_time: 73.3988876343, weight_update_time: 0.1183996201, other_time: 2.9487609863
epoch time: 8.6020460129s, input_fired_time: 0.1259999126, output_fired_time: 0.0000000000, propagate_forward_time: 8.0756921768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4003543854
validation[          , genome  4476] predictions:    9743/  10000 (97.43%), best:    9743/10000 (97.43%), error:       829.06500, best error:       829.06500 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 115.2426071167s, input_fired_time: 1.3596150875, output_fired_time: 0.9146140218, propagate_forward_time: 39.8521995544, propagate_backward_time: 68.7690505981, weight_update_time: 0.3623756170, other_time: 4.3471298218
epoch time: 8.5942754745s, input_fired_time: 0.1256435663, output_fired_time: 0.0000000000, propagate_forward_time: 8.0675907135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4010410309
validation[          , genome  4476] predictions:    9746/  10000 (97.46%), best:    9743/10000 (97.43%), error:       843.89044, best error:       829.06500 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 120.4249420166s, input_fired_time: 1.6402282715, output_fired_time: 1.2046419382, propagate_forward_time: 43.7452812195, propagate_backward_time: 70.6794509888, weight_update_time: 0.1156710908, other_time: 3.1553421021
epoch time: 10.7567844391s, input_fired_time: 0.3986584544, output_fired_time: 0.0000000000, propagate_forward_time: 9.8926181793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4655075073
validation[          , genome  4476] predictions:    9622/  10000 (96.22%), best:    9743/10000 (97.43%), error:      1188.79333, best error:       829.06500 on epoch:    58, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 123.6514358521s, input_fired_time: 2.1570577621, output_fired_time: 1.2243502140, propagate_forward_time: 45.3464202881, propagate_backward_time: 71.9759521484, weight_update_time: 0.1183986068, other_time: 2.9476547241
epoch time: 10.4926338196s, input_fired_time: 0.1492067873, output_fired_time: 0.0000000000, propagate_forward_time: 9.8776817322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4657449722
validation[          , genome  4476] predictions:    9718/  10000 (97.18%), best:    9743/10000 (97.43%), error:       953.20917, best error:       829.06500 on epoch:    58, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 131.6379089355s, input_fired_time: 1.4488027096, output_fired_time: 1.7801803350, propagate_forward_time: 50.3749427795, propagate_backward_time: 74.2275314331, weight_update_time: 0.1239932999, other_time: 3.8064498901
epoch time: 10.4446182251s, input_fired_time: 0.1447252035, output_fired_time: 0.0000000000, propagate_forward_time: 9.8482809067, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4516124725
validation[          , genome  4476] predictions:    9727/  10000 (97.27%), best:    9743/10000 (97.43%), error:       917.92737, best error:       829.06500 on epoch:    58, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 129.9351959229s, input_fired_time: 1.9405257702, output_fired_time: 1.2675039768, propagate_forward_time: 48.3477821350, propagate_backward_time: 74.3437728882, weight_update_time: 0.1228725240, other_time: 4.0356063843
epoch time: 11.9476146698s, input_fired_time: 0.1601110995, output_fired_time: 0.0000000000, propagate_forward_time: 11.0350427628, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7524604797
validation[          , genome  4476] predictions:    9691/  10000 (96.91%), best:    9743/10000 (97.43%), error:       985.62866, best error:       829.06500 on epoch:    58, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

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_44_4476.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_4476_0_r95748985_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: 0.971613
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000469051
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.87621e-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: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 58
read number_validation_images: 10000
read best_validation_predictions: 9743
read best_validation_error: 829.065
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: 4476
read normal distribution: '1 0 0'
generator_str: '1222968616'
read generator: 1222968616
read generated_by_map:
1 crossover 1
reading 21 nodes.
reading 44 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: 147.186813354492s, input_fired_time: 1.61595475673676, output_fired_time: 1.60133028030396, propagate_forward_time: 55.7312278747559, propagate_backward_time: 85.2582473754883, weight_update_time: 0.140780374407768, other_time: 2.98004913330078
epoch time: 9.80505084991455s, input_fired_time: 0.179050117731094, output_fired_time: 0, propagate_forward_time: 9.12599945068359, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.500000953674316
validation[          , genome  4476] predictions:    9717/  10000 (97.17%), best:    9743/10000 (97.43%), error:       919.68555, best error:       829.06500 on epoch:    58, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 123.7587509155s, input_fired_time: 1.5631753206, output_fired_time: 1.2212935686, propagate_forward_time: 45.8784294128, propagate_backward_time: 71.9531250000, weight_update_time: 0.1336890459, other_time: 3.1427307129
epoch time: 9.5174913406s, input_fired_time: 0.1655110270, output_fired_time: 0.0000000000, propagate_forward_time: 8.8506498337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5013303757
validation[          , genome  4476] predictions:    9744/  10000 (97.44%), best:    9743/10000 (97.43%), error:       863.16071, best error:       829.06500 on epoch:    58, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 120.4203109741s, input_fired_time: 1.3666350842, output_fired_time: 1.1964997053, propagate_forward_time: 44.6283950806, propagate_backward_time: 70.2476348877, weight_update_time: 0.1354764700, other_time: 2.9811401367
epoch time: 9.4490184784s, input_fired_time: 0.2223436236, output_fired_time: 0.0000000000, propagate_forward_time: 8.6650133133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5616617203
validation[          , genome  4476] predictions:    9748/  10000 (97.48%), best:    9743/10000 (97.43%), error:       906.33350, best error:       829.06500 on epoch:    58, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 119.9412536621s, input_fired_time: 1.4331719875, output_fired_time: 1.2541139126, propagate_forward_time: 44.7742576599, propagate_backward_time: 69.6383972168, weight_update_time: 0.1354262978, other_time: 2.8413085938
epoch time: 9.9170703888s, input_fired_time: 0.1862382293, output_fired_time: 0.0000000000, propagate_forward_time: 9.1879491806, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5428829193
validation[          , genome  4476] predictions:    9702/  10000 (97.02%), best:    9743/10000 (97.43%), error:      1015.92310, best error:       829.06500 on epoch:    58, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 128.0107574463s, input_fired_time: 1.5210072994, output_fired_time: 1.3339596987, propagate_forward_time: 47.9232177734, propagate_backward_time: 73.9926834106, weight_update_time: 0.1369126290, other_time: 3.2398910522
epoch time: 10.6744546890s, input_fired_time: 0.2558352351, output_fired_time: 0.0000000000, propagate_forward_time: 9.7717142105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.6469049454
validation[          , genome  4476] predictions:    9744/  10000 (97.44%), best:    9743/10000 (97.43%), error:       879.97919, best error:       829.06500 on epoch:    58, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 124.9130249023s, input_fired_time: 1.4990539551, output_fired_time: 1.2189561129, propagate_forward_time: 46.4754867554, propagate_backward_time: 72.6924972534, weight_update_time: 0.1862463206, other_time: 3.0270309448
epoch time: 9.6227664948s, input_fired_time: 0.1591897160, output_fired_time: 0.0000000000, propagate_forward_time: 8.9835176468, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4800586700
validation[          , genome  4476] predictions:    9572/  10000 (95.72%), best:    9743/10000 (97.43%), error:      1441.47180, best error:       829.06500 on epoch:    58, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 127.5902557373s, input_fired_time: 1.4920362234, output_fired_time: 1.2711745501, propagate_forward_time: 47.6134834290, propagate_backward_time: 74.1864166260, weight_update_time: 0.1386427879, other_time: 3.0271453857
epoch time: 10.1237382889s, input_fired_time: 0.1784653515, output_fired_time: 0.0000000000, propagate_forward_time: 9.3712739944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5739994049
validation[          , genome  4476] predictions:    9663/  10000 (96.63%), best:    9743/10000 (97.43%), error:      1118.12561, best error:       829.06500 on epoch:    58, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 124.0170364380s, input_fired_time: 1.3316922188, output_fired_time: 1.2207243443, propagate_forward_time: 46.3928527832, propagate_backward_time: 72.1576614380, weight_update_time: 0.1850339323, other_time: 2.9141006470
epoch time: 11.2164983749s, input_fired_time: 0.1707084030, output_fired_time: 0.0000000000, propagate_forward_time: 10.5017042160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5440855026
validation[          , genome  4476] predictions:    9718/  10000 (97.18%), best:    9743/10000 (97.43%), error:       896.47961, best error:       829.06500 on epoch:    58, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 117.7731933594s, input_fired_time: 1.3538012505, output_fired_time: 1.3175543547, propagate_forward_time: 44.2171211243, propagate_backward_time: 68.1458511353, weight_update_time: 0.1371640861, other_time: 2.7388687134
epoch time: 9.2572193146s, input_fired_time: 0.1618644595, output_fired_time: 0.0000000000, propagate_forward_time: 8.5926465988, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5027084351
validation[          , genome  4476] predictions:    9716/  10000 (97.16%), best:    9743/10000 (97.43%), error:       910.86121, best error:       829.06500 on epoch:    58, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 113.8666458130s, input_fired_time: 1.4167261124, output_fired_time: 1.1664028168, propagate_forward_time: 42.3097381592, propagate_backward_time: 66.2376403809, weight_update_time: 0.1319338828, other_time: 2.7361373901
epoch time: 8.9926366806s, input_fired_time: 0.2167474180, output_fired_time: 0.0000000000, propagate_forward_time: 8.2662067413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5096826553
validation[          , genome  4476] predictions:    9490/  10000 (94.90%), best:    9743/10000 (97.43%), error:      1664.71472, best error:       829.06500 on epoch:    58, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 112.4107208252s, input_fired_time: 1.3659826517, output_fired_time: 1.2041478157, propagate_forward_time: 41.3935623169, propagate_backward_time: 65.7535324097, weight_update_time: 0.1308709830, other_time: 2.6934967041
epoch time: 8.3199100494s, input_fired_time: 0.1523589641, output_fired_time: 0.0000000000, propagate_forward_time: 7.7058382034, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4617128372
validation[          , genome  4476] predictions:    9715/  10000 (97.15%), best:    9743/10000 (97.43%), error:       979.72382, best error:       829.06500 on epoch:    58, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 113.1768112183s, input_fired_time: 1.5505354404, output_fired_time: 1.1642385721, propagate_forward_time: 41.7308654785, propagate_backward_time: 65.8364181519, weight_update_time: 0.1308827549, other_time: 2.8947525024
epoch time: 8.4288568497s, input_fired_time: 0.1521060318, output_fired_time: 0.0000000000, propagate_forward_time: 7.8002061844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4765443802
validation[          , genome  4476] predictions:    9713/  10000 (97.13%), best:    9743/10000 (97.43%), error:       923.62726, best error:       829.06500 on epoch:    58, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 109.8658142090s, input_fired_time: 1.2804478407, output_fired_time: 1.1025913954, propagate_forward_time: 40.9102363586, propagate_backward_time: 63.9048385620, weight_update_time: 0.1462543458, other_time: 2.6677017212
epoch time: 8.7962751389s, input_fired_time: 0.1513482928, output_fired_time: 0.0000000000, propagate_forward_time: 8.1277160645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5172109604
validation[          , genome  4476] predictions:    9694/  10000 (96.94%), best:    9743/10000 (97.43%), error:      1027.72156, best error:       829.06500 on epoch:    58, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 109.0771179199s, input_fired_time: 1.2447931767, output_fired_time: 1.1880707741, propagate_forward_time: 40.4457206726, propagate_backward_time: 63.5619621277, weight_update_time: 0.1293389946, other_time: 2.6365699768
epoch time: 8.9971399307s, input_fired_time: 0.1809383631, output_fired_time: 0.0000000000, propagate_forward_time: 8.3308668137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4853343964
validation[          , genome  4476] predictions:    9672/  10000 (96.72%), best:    9743/10000 (97.43%), error:      1054.60034, best error:       829.06500 on epoch:    58, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 110.8513412476s, input_fired_time: 1.2914752960, output_fired_time: 1.1419194937, propagate_forward_time: 41.1275978088, propagate_backward_time: 64.6449737549, weight_update_time: 0.1294270754, other_time: 2.6453704834
epoch time: 8.8045616150s, input_fired_time: 0.1691094041, output_fired_time: 0.0000000000, propagate_forward_time: 8.1418600082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4935922623
validation[          , genome  4476] predictions:    9734/  10000 (97.34%), best:    9743/10000 (97.43%), error:       866.62109, best error:       829.06500 on epoch:    58, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 143.5927429199s, input_fired_time: 1.3669388294, output_fired_time: 1.1939191818, propagate_forward_time: 54.0369377136, propagate_backward_time: 83.8493499756, weight_update_time: 0.1402263790, other_time: 3.1455841064
epoch time: 14.1990308762s, input_fired_time: 0.1768392175, output_fired_time: 0.0000000000, propagate_forward_time: 13.4917535782, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5304384232
validation[          , genome  4476] predictions:    9665/  10000 (96.65%), best:    9743/10000 (97.43%), error:      1078.78369, best error:       829.06500 on epoch:    58, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 181.5123748779s, input_fired_time: 2.2051753998, output_fired_time: 1.9128772020, propagate_forward_time: 66.7970657349, propagate_backward_time: 106.3106079102, weight_update_time: 0.1509729326, other_time: 4.2866592407
epoch time: 14.5723733902s, input_fired_time: 0.1768371910, output_fired_time: 0.0000000000, propagate_forward_time: 13.3170328140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.0785036087
validation[          , genome  4476] predictions:    9718/  10000 (97.18%), best:    9743/10000 (97.43%), error:       947.61572, best error:       829.06500 on epoch:    58, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 197.3519897461s, input_fired_time: 1.7511655092, output_fired_time: 2.9269001484, propagate_forward_time: 72.5711364746, propagate_backward_time: 116.2849960327, weight_update_time: 0.1662288457, other_time: 3.8178024292
epoch time: 14.7581977844s, input_fired_time: 0.1765970439, output_fired_time: 0.0000000000, propagate_forward_time: 13.7383060455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8432950974
validation[          , genome  4476] predictions:    9693/  10000 (96.93%), best:    9743/10000 (97.43%), error:      1038.24072, best error:       829.06500 on epoch:    58, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 187.7094573975s, input_fired_time: 1.8153147697, output_fired_time: 1.5403295755, propagate_forward_time: 71.7641220093, propagate_backward_time: 107.4337844849, weight_update_time: 0.2128964365, other_time: 5.1559143066
epoch time: 14.9920053482s, input_fired_time: 0.2220901698, output_fired_time: 0.0000000000, propagate_forward_time: 13.8636283875, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9062871933
validation[          , genome  4476] predictions:    9682/  10000 (96.82%), best:    9743/10000 (97.43%), error:      1092.62048, best error:       829.06500 on epoch:    58, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 120.4890365601s, input_fired_time: 1.3972250223, output_fired_time: 1.2034624815, propagate_forward_time: 44.5435714722, propagate_backward_time: 70.4274749756, weight_update_time: 0.1384876221, other_time: 2.9173049927
epoch time: 9.3115224838s, input_fired_time: 0.1614082754, output_fired_time: 0.0000000000, propagate_forward_time: 8.6493015289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5008125305
validation[          , genome  4476] predictions:    9725/  10000 (97.25%), best:    9743/10000 (97.43%), error:       910.04840, best error:       829.06500 on epoch:    58, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 115.5819015503s, input_fired_time: 1.3737157583, output_fired_time: 1.1405245066, propagate_forward_time: 43.1079216003, propagate_backward_time: 67.1666183472, weight_update_time: 0.1366935223, other_time: 2.7931137085
epoch time: 8.7330532074s, input_fired_time: 0.1524055749, output_fired_time: 0.0000000000, propagate_forward_time: 8.0875253677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4931221008
validation[          , genome  4476] predictions:    9667/  10000 (96.67%), best:    9743/10000 (97.43%), error:      1055.85632, best error:       829.06500 on epoch:    58, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 113.7818069458s, input_fired_time: 1.4054597616, output_fired_time: 1.1410126686, propagate_forward_time: 42.3490638733, propagate_backward_time: 66.1283340454, weight_update_time: 0.1347959787, other_time: 2.7579421997
epoch time: 9.0931854248s, input_fired_time: 0.1586224288, output_fired_time: 0.0000000000, propagate_forward_time: 8.4092721939, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5252904892
validation[          , genome  4476] predictions:    9725/  10000 (97.25%), best:    9743/10000 (97.43%), error:       915.09229, best error:       829.06500 on epoch:    58, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 108.2232513428s, input_fired_time: 1.2787253857, output_fired_time: 1.1642013788, propagate_forward_time: 40.2059669495, propagate_backward_time: 62.8993339539, weight_update_time: 0.1474744678, other_time: 2.6750221252
epoch time: 9.5699014664s, input_fired_time: 0.1954738647, output_fired_time: 0.0000000000, propagate_forward_time: 8.8512201309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5232076645
validation[          , genome  4476] predictions:    9713/  10000 (97.13%), best:    9743/10000 (97.43%), error:       934.46326, best error:       829.06500 on epoch:    58, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 111.5293807983s, input_fired_time: 1.3464689255, output_fired_time: 1.1505773067, propagate_forward_time: 41.3917121887, propagate_backward_time: 64.8966140747, weight_update_time: 0.1332015842, other_time: 2.7440109253
epoch time: 9.2660799026s, input_fired_time: 0.1597079039, output_fired_time: 0.0000000000, propagate_forward_time: 8.6257266998, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4806451797
validation[          , genome  4476] predictions:    9740/  10000 (97.40%), best:    9743/10000 (97.43%), error:       859.19324, best error:       829.06500 on epoch:    58, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 110.1362075806s, input_fired_time: 1.2627009153, output_fired_time: 1.1149189472, propagate_forward_time: 40.8076591492, propagate_backward_time: 64.1997756958, weight_update_time: 0.1318637282, other_time: 2.7511520386
epoch time: 8.8355979919s, input_fired_time: 0.1570935547, output_fired_time: 0.0000000000, propagate_forward_time: 8.2093534470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4691505432
validation[          , genome  4476] predictions:    9749/  10000 (97.49%), best:    9743/10000 (97.43%), error:       871.76404, best error:       829.06500 on epoch:    58, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 107.1200256348s, input_fired_time: 1.3402642012, output_fired_time: 1.0765411854, propagate_forward_time: 39.5321197510, propagate_backward_time: 62.5068664551, weight_update_time: 0.1302447468, other_time: 2.6642379761
epoch time: 8.7618284225s, input_fired_time: 0.1584288180, output_fired_time: 0.0000000000, propagate_forward_time: 8.1290159225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4743833542
validation[          , genome  4476] predictions:    9690/  10000 (96.90%), best:    9743/10000 (97.43%), error:      1025.48840, best error:       829.06500 on epoch:    58, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 107.8434066772s, input_fired_time: 1.2660146952, output_fired_time: 1.1727169752, propagate_forward_time: 39.8967971802, propagate_backward_time: 62.7570037842, weight_update_time: 0.1446772665, other_time: 2.7508773804
epoch time: 8.3229732513s, input_fired_time: 0.1553696394, output_fired_time: 0.0000000000, propagate_forward_time: 7.7065868378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4610166550
validation[          , genome  4476] predictions:    9725/  10000 (97.25%), best:    9743/10000 (97.43%), error:       890.22736, best error:       829.06500 on epoch:    58, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 108.8345718384s, input_fired_time: 1.3224778175, output_fired_time: 1.1379699707, propagate_forward_time: 40.3208389282, propagate_backward_time: 63.3916091919, weight_update_time: 0.1605323106, other_time: 2.6616744995
epoch time: 8.2765655518s, input_fired_time: 0.1693884134, output_fired_time: 0.0000000000, propagate_forward_time: 7.6510114670, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4561653137
validation[          , genome  4476] predictions:    9744/  10000 (97.44%), best:    9743/10000 (97.43%), error:       891.45300, best error:       829.06500 on epoch:    58, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 107.4260101318s, input_fired_time: 1.3202517033, output_fired_time: 1.1150120497, propagate_forward_time: 39.8195762634, propagate_backward_time: 62.4628067017, weight_update_time: 0.1284163594, other_time: 2.7083663940
epoch time: 8.2740621567s, input_fired_time: 0.1519759893, output_fired_time: 0.0000000000, propagate_forward_time: 7.6676063538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4544801712
validation[          , genome  4476] predictions:    9705/  10000 (97.05%), best:    9743/10000 (97.43%), error:       968.23969, best error:       829.06500 on epoch:    58, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 108.7009963989s, input_fired_time: 1.3507287502, output_fired_time: 1.2444945574, propagate_forward_time: 40.3418807983, propagate_backward_time: 63.1295509338, weight_update_time: 0.1282704920, other_time: 2.6343421936
epoch time: 8.3933801651s, input_fired_time: 0.1547690183, output_fired_time: 0.0000000000, propagate_forward_time: 7.7775139809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4610972404
validation[          , genome  4476] predictions:    9764/  10000 (97.64%), best:    9764/10000 (97.64%), error:       815.71521, best error:       815.71521 on epoch:    93, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 108.0680770874s, input_fired_time: 1.2631139755, output_fired_time: 1.1071918011, propagate_forward_time: 39.9685134888, propagate_backward_time: 63.0689392090, weight_update_time: 0.1445257813, other_time: 2.6603164673
epoch time: 8.5661935806s, input_fired_time: 0.1700448394, output_fired_time: 0.0000000000, propagate_forward_time: 7.9065384865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4896101952
validation[          , genome  4476] predictions:    9756/  10000 (97.56%), best:    9764/10000 (97.64%), error:       835.66760, best error:       815.71521 on epoch:    93, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 104.8750381470s, input_fired_time: 1.2505736351, output_fired_time: 1.0810773373, propagate_forward_time: 38.7916755676, propagate_backward_time: 61.1659812927, weight_update_time: 0.1293134391, other_time: 2.5857315063
epoch time: 8.4932289124s, input_fired_time: 0.1536948234, output_fired_time: 0.0000000000, propagate_forward_time: 7.8807883263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4587454796
validation[          , genome  4476] predictions:    9736/  10000 (97.36%), best:    9764/10000 (97.64%), error:       924.69324, best error:       815.71521 on epoch:    93, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 105.0510330200s, input_fired_time: 1.2576580048, output_fired_time: 1.0844541788, propagate_forward_time: 38.9225959778, propagate_backward_time: 61.1961860657, weight_update_time: 0.1306620538, other_time: 2.5901336670
epoch time: 8.3960676193s, input_fired_time: 0.1559481472, output_fired_time: 0.0000000000, propagate_forward_time: 7.7691850662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4709348679
validation[          , genome  4476] predictions:    9669/  10000 (96.69%), best:    9764/10000 (97.64%), error:      1030.86731, best error:       815.71521 on epoch:    93, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 134.4693603516s, input_fired_time: 1.5497572422, output_fired_time: 1.3878451586, propagate_forward_time: 48.3933601379, propagate_backward_time: 80.1837997437, weight_update_time: 0.1369766444, other_time: 2.9545974731
epoch time: 12.1966838837s, input_fired_time: 0.1695712209, output_fired_time: 0.0000000000, propagate_forward_time: 11.5281705856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4989423752
validation[          , genome  4476] predictions:    9695/  10000 (96.95%), best:    9764/10000 (97.64%), error:      1064.61328, best error:       815.71521 on epoch:    93, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 155.8010559082s, input_fired_time: 1.5884524584, output_fired_time: 1.4511476755, propagate_forward_time: 57.3569869995, propagate_backward_time: 92.1014938354, weight_update_time: 0.1434919983, other_time: 3.3029785156
epoch time: 12.5395927429s, input_fired_time: 0.1668381244, output_fired_time: 0.0000000000, propagate_forward_time: 11.8679847717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5047702789
validation[          , genome  4476] predictions:    9728/  10000 (97.28%), best:    9764/10000 (97.64%), error:       869.22040, best error:       815.71521 on epoch:    93, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 154.3860931396s, input_fired_time: 1.3335015774, output_fired_time: 1.4422844648, propagate_forward_time: 55.9662361145, propagate_backward_time: 91.5930252075, weight_update_time: 0.1423353702, other_time: 4.0510482788
epoch time: 12.4213085175s, input_fired_time: 0.1705133319, output_fired_time: 0.0000000000, propagate_forward_time: 11.4954118729, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.7553834915
validation[          , genome  4476] predictions:    9748/  10000 (97.48%), best:    9764/10000 (97.64%), error:       876.10602, best error:       815.71521 on epoch:    93, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 152.3728179932s, input_fired_time: 1.8234260082, output_fired_time: 1.9203422070, propagate_forward_time: 56.6126823425, propagate_backward_time: 88.0054855347, weight_update_time: 0.1398351640, other_time: 4.0108718872
epoch time: 11.2175951004s, input_fired_time: 0.1579573154, output_fired_time: 0.0000000000, propagate_forward_time: 10.0885257721, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.9711122513
validation[          , genome  4476] predictions:    9752/  10000 (97.52%), best:    9764/10000 (97.64%), error:       860.00201, best error:       815.71521 on epoch:    93, 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: 60.3311004639s, input_fired_time: 0.8280804157, output_fired_time: 0.0000000000, propagate_forward_time: 56.4561653137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0468559265
best training[          , genome  4476] predictions:   49655/  50000 (99.31%), best:    9764/10000 (97.64%), error:      1517.78052, best error:       815.71521 on epoch:    93, 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: 11.8169984818s, input_fired_time: 0.1608127803, output_fired_time: 0.0000000000, propagate_forward_time: 11.1722431183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4839429855
   testing[          , genome  4476] predictions:    9785/  10000 (97.85%), best:    9764/10000 (97.64%), error:       718.90173, best error:       815.71521 on epoch:    93, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
00:58:25 (11252): called boinc_finish(0)

</stderr_txt>
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