Nameexact_genome_1518178202_48_18322_1
Workunit2991631
Created9 Feb 2018, 13:11:09 UTC
Sent9 Feb 2018, 13:37:03 UTC
Report deadline13 Apr 2018, 5:20:01 UTC
Received11 Feb 2018, 20:00:02 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID67439
Run time23 hours 32 min 33 sec
CPU time23 hours 32 min 33 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS4.54 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size187.09 MB
Peak swap size190.33 MB
Peak disk usage9.05 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
  306.55875 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 789.0375976563s, input_fired_time: 11.1703805923, output_fired_time: 9.7379083633, propagate_forward_time: 303.1545104980, propagate_backward_time: 446.7847595215, weight_update_time: 0.9491633773, other_time: 18.1900024414
epoch time: 65.3201065063s, input_fired_time: 1.4613726139, output_fired_time: 0.0000000000, propagate_forward_time: 60.6177864075, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2409477234
validation[          , genome 18322] predictions:    9905/  10000 (99.05%), best:    9907/10000 (99.07%), error:       312.30264, best error:       306.55875 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 787.0925292969s, input_fired_time: 11.1231479645, output_fired_time: 9.6286115646, propagate_forward_time: 302.5215759277, propagate_backward_time: 446.0609436035, weight_update_time: 0.9593346119, other_time: 17.7582397461
epoch time: 65.2263107300s, input_fired_time: 1.4256709814, output_fired_time: 0.0000000000, propagate_forward_time: 60.5251388550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2755012512
validation[          , genome 18322] predictions:    9907/  10000 (99.07%), best:    9907/10000 (99.07%), error:       304.24826, best error:       304.24826 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 788.0769042969s, input_fired_time: 11.1415882111, output_fired_time: 9.7408514023, propagate_forward_time: 302.0066223145, propagate_backward_time: 447.3771972656, weight_update_time: 0.9554697275, other_time: 17.8106384277
epoch time: 64.5423049927s, input_fired_time: 1.4111065865, output_fired_time: 0.0000000000, propagate_forward_time: 59.9093551636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2218437195
validation[          , genome 18322] predictions:    9910/  10000 (99.10%), best:    9910/10000 (99.10%), error:       285.38556, best error:       285.38556 on epoch:    49, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 788.9962158203s, input_fired_time: 11.1930971146, output_fired_time: 9.7735519409, propagate_forward_time: 303.5633239746, propagate_backward_time: 446.8381347656, weight_update_time: 0.9780260324, other_time: 17.6280822754
epoch time: 65.1424942017s, input_fired_time: 1.4279577732, output_fired_time: 0.0000000000, propagate_forward_time: 60.3607673645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3537673950
validation[          , genome 18322] predictions:    9852/  10000 (98.52%), best:    9910/10000 (99.10%), error:       435.50400, best error:       285.38556 on epoch:    49, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 789.7962036133s, input_fired_time: 11.2190017700, output_fired_time: 9.8276185989, propagate_forward_time: 303.8078918457, propagate_backward_time: 446.7709960938, weight_update_time: 0.9809102416, other_time: 18.1706848145
epoch time: 65.8747329712s, input_fired_time: 1.4585670233, output_fired_time: 0.0000000000, propagate_forward_time: 61.1848602295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2313079834
validation[          , genome 18322] predictions:    9881/  10000 (98.81%), best:    9910/10000 (99.10%), error:       371.61722, best error:       285.38556 on epoch:    49, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 790.3092041016s, input_fired_time: 11.2502241135, output_fired_time: 9.8877229691, propagate_forward_time: 303.9152526855, propagate_backward_time: 447.5946350098, weight_update_time: 0.9764218926, other_time: 17.6613769531
epoch time: 65.8685073853s, input_fired_time: 1.4346203804, output_fired_time: 0.0000000000, propagate_forward_time: 61.2067031860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2271804810
validation[          , genome 18322] predictions:    9885/  10000 (98.85%), best:    9910/10000 (99.10%), error:       340.88431, best error:       285.38556 on epoch:    49, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 770.4031982422s, input_fired_time: 11.0100507736, output_fired_time: 9.5831079483, propagate_forward_time: 295.5176391602, propagate_backward_time: 436.5741271973, weight_update_time: 0.9420719147, other_time: 17.7182312012
epoch time: 64.3693161011s, input_fired_time: 1.4489876032, output_fired_time: 0.0000000000, propagate_forward_time: 59.5305099487, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3898200989
validation[          , genome 18322] predictions:    9914/  10000 (99.14%), best:    9914/10000 (99.14%), error:       282.26202, best error:       282.26202 on epoch:    53, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 781.3770751953s, input_fired_time: 11.1565322876, output_fired_time: 9.7388353348, propagate_forward_time: 300.1685180664, propagate_backward_time: 442.6000671387, weight_update_time: 0.9733577371, other_time: 17.7131042480
epoch time: 65.6408386230s, input_fired_time: 1.4602593184, output_fired_time: 0.0000000000, propagate_forward_time: 60.8804550171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3001251221
validation[          , genome 18322] predictions:    9897/  10000 (98.97%), best:    9914/10000 (99.14%), error:       328.44003, best error:       282.26202 on epoch:    53, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 788.9290161133s, input_fired_time: 11.2414159775, output_fired_time: 9.9069433212, propagate_forward_time: 303.2233581543, propagate_backward_time: 447.1381225586, weight_update_time: 1.0031270981, other_time: 17.4192199707
epoch time: 65.2225952148s, input_fired_time: 1.4458707571, output_fired_time: 0.0000000000, propagate_forward_time: 60.5568199158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2199058533
validation[          , genome 18322] predictions:    9919/  10000 (99.19%), best:    9919/10000 (99.19%), error:       269.77335, best error:       269.77335 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 790.0217285156s, input_fired_time: 11.2338247299, output_fired_time: 9.8300695419, propagate_forward_time: 304.3682250977, propagate_backward_time: 446.8652648926, weight_update_time: 0.9693907499, other_time: 17.7243347168
epoch time: 64.5860366821s, input_fired_time: 1.4313976765, output_fired_time: 0.0000000000, propagate_forward_time: 59.9110031128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2436370850
validation[          , genome 18322] predictions:    9913/  10000 (99.13%), best:    9919/10000 (99.19%), error:       285.32605, best error:       269.77335 on epoch:    55, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

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_1518178202_48_18322.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18322_1_r1564100278_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: 0.963671
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000671669
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.68668e-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: 57
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 55
read number_validation_images: 10000
read best_validation_predictions: 9919
read best_validation_error: 269.773
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: 18322
read normal distribution: '1 0 0'
generator_str: '58424827'
read generator: 58424827
read generated_by_map:
1 disable_edge 1
reading 129 nodes.
reading 489 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: 782.028564453125s, input_fired_time: 11.1012649536133, output_fired_time: 9.72142028808594, propagate_forward_time: 299.576324462891, propagate_backward_time: 444.14306640625, weight_update_time: 0.967023134231567, other_time: 17.4864807128906
epoch time: 65.8467025756836s, input_fired_time: 1.4793289899826, output_fired_time: 0, propagate_forward_time: 61.2077026367188, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.15966796875
validation[          , genome 18322] predictions:    9916/  10000 (99.16%), best:    9919/10000 (99.19%), error:       293.59796, best error:       269.77335 on epoch:    55, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 791.0881347656s, input_fired_time: 11.3118391037, output_fired_time: 9.9224367142, propagate_forward_time: 304.9956054688, propagate_backward_time: 447.9082336426, weight_update_time: 0.9679691792, other_time: 16.9500427246
epoch time: 64.6814956665s, input_fired_time: 1.4273442030, output_fired_time: 0.0000000000, propagate_forward_time: 60.1735992432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0805511475
validation[          , genome 18322] predictions:    9916/  10000 (99.16%), best:    9916/10000 (99.16%), error:       265.68915, best error:       265.68915 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 787.6942749023s, input_fired_time: 11.1182584763, output_fired_time: 9.7840547562, propagate_forward_time: 303.1636047363, propagate_backward_time: 446.7640075684, weight_update_time: 0.9771356583, other_time: 16.8643188477
epoch time: 64.0919036865s, input_fired_time: 1.4177857637, output_fired_time: 0.0000000000, propagate_forward_time: 59.6602668762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0138511658
validation[          , genome 18322] predictions:    9921/  10000 (99.21%), best:    9921/10000 (99.21%), error:       261.33994, best error:       261.33994 on epoch:    59, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 786.4688110352s, input_fired_time: 11.2037353516, output_fired_time: 9.7135124207, propagate_forward_time: 302.5770568848, propagate_backward_time: 445.7002868652, weight_update_time: 0.9702159166, other_time: 17.2742309570
epoch time: 64.9947204590s, input_fired_time: 1.4412934780, output_fired_time: 0.0000000000, propagate_forward_time: 60.2883033752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2651252747
validation[          , genome 18322] predictions:    9916/  10000 (99.16%), best:    9921/10000 (99.21%), error:       264.86612, best error:       261.33994 on epoch:    59, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 787.5579833984s, input_fired_time: 11.1618242264, output_fired_time: 9.8378868103, propagate_forward_time: 302.5365295410, propagate_backward_time: 446.2829589844, weight_update_time: 0.9463284612, other_time: 17.7388000488
epoch time: 64.7498474121s, input_fired_time: 1.4173443317, output_fired_time: 0.0000000000, propagate_forward_time: 60.1829643250, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1495399475
validation[          , genome 18322] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       258.86035, best error:       258.86035 on epoch:    61, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 782.7379150391s, input_fired_time: 11.0803546906, output_fired_time: 9.7106342316, propagate_forward_time: 300.5051269531, propagate_backward_time: 444.2874145508, weight_update_time: 0.9423710108, other_time: 17.1543579102
epoch time: 64.8394470215s, input_fired_time: 1.4256114960, output_fired_time: 0.0000000000, propagate_forward_time: 60.3578834534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0559501648
validation[          , genome 18322] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       262.16632, best error:       258.86035 on epoch:    61, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 781.7219238281s, input_fired_time: 11.1183557510, output_fired_time: 9.7388105392, propagate_forward_time: 300.3652954102, propagate_backward_time: 443.5898742676, weight_update_time: 0.9718142748, other_time: 16.9095764160
epoch time: 64.1802444458s, input_fired_time: 1.4072060585, output_fired_time: 0.0000000000, propagate_forward_time: 59.6783905029, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0946464539
validation[          , genome 18322] predictions:    9918/  10000 (99.18%), best:    9924/10000 (99.24%), error:       269.78937, best error:       258.86035 on epoch:    61, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 784.1334228516s, input_fired_time: 11.1437206268, output_fired_time: 9.7673568726, propagate_forward_time: 300.7326354980, propagate_backward_time: 445.7117919922, weight_update_time: 0.9559417367, other_time: 16.7779235840
epoch time: 64.3916931152s, input_fired_time: 1.4219790697, output_fired_time: 0.0000000000, propagate_forward_time: 59.9249458313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0447692871
validation[          , genome 18322] predictions:    9922/  10000 (99.22%), best:    9922/10000 (99.22%), error:       253.84074, best error:       253.84074 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 771.6021118164s, input_fired_time: 10.7794647217, output_fired_time: 9.3012771606, propagate_forward_time: 297.1583862305, propagate_backward_time: 438.4798278809, weight_update_time: 0.8815893531, other_time: 15.8831481934
epoch time: 61.2703170776s, input_fired_time: 1.2989181280, output_fired_time: 0.0000000000, propagate_forward_time: 57.0984649658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8729324341
validation[          , genome 18322] predictions:    9922/  10000 (99.22%), best:    9922/10000 (99.22%), error:       269.15875, best error:       253.84074 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 752.1735839844s, input_fired_time: 10.4587612152, output_fired_time: 8.9389467239, propagate_forward_time: 289.1884765625, propagate_backward_time: 427.9641418457, weight_update_time: 0.8298838735, other_time: 15.6232604980
epoch time: 62.1603622437s, input_fired_time: 1.3115965128, output_fired_time: 0.0000000000, propagate_forward_time: 57.8979263306, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9508399963
validation[          , genome 18322] predictions:    9923/  10000 (99.23%), best:    9922/10000 (99.22%), error:       283.88773, best error:       253.84074 on epoch:    64, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 751.6658935547s, input_fired_time: 10.4419898987, output_fired_time: 8.9027862549, propagate_forward_time: 288.9170532227, propagate_backward_time: 426.6926269531, weight_update_time: 0.8121412396, other_time: 16.7114257813
epoch time: 61.6579818726s, input_fired_time: 1.3069927692, output_fired_time: 0.0000000000, propagate_forward_time: 57.2001724243, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1508178711
validation[          , genome 18322] predictions:    9916/  10000 (99.16%), best:    9922/10000 (99.22%), error:       286.38620, best error:       253.84074 on epoch:    64, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 746.1609497070s, input_fired_time: 10.3497838974, output_fired_time: 8.7667007446, propagate_forward_time: 286.4270629883, propagate_backward_time: 424.7302551270, weight_update_time: 0.7804340720, other_time: 15.8871154785
epoch time: 62.2402267456s, input_fired_time: 1.2863513231, output_fired_time: 0.0000000000, propagate_forward_time: 58.0312042236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9226722717
validation[          , genome 18322] predictions:    9923/  10000 (99.23%), best:    9922/10000 (99.22%), error:       263.02686, best error:       253.84074 on epoch:    64, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 748.1625366211s, input_fired_time: 10.3764953613, output_fired_time: 8.7401580811, propagate_forward_time: 287.4461364746, propagate_backward_time: 425.3529052734, weight_update_time: 0.7873764634, other_time: 16.2467956543
epoch time: 62.1320228577s, input_fired_time: 1.3076772690, output_fired_time: 0.0000000000, propagate_forward_time: 57.7732696533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0510749817
validation[          , genome 18322] predictions:    9922/  10000 (99.22%), best:    9922/10000 (99.22%), error:       260.48566, best error:       253.84074 on epoch:    64, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 753.0986938477s, input_fired_time: 10.4276094437, output_fired_time: 8.8688201904, propagate_forward_time: 289.6413574219, propagate_backward_time: 427.5801086426, weight_update_time: 0.7812411785, other_time: 16.5807800293
epoch time: 62.4654006958s, input_fired_time: 1.3194769621, output_fired_time: 0.0000000000, propagate_forward_time: 57.9190597534, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2268638611
validation[          , genome 18322] predictions:    9923/  10000 (99.23%), best:    9922/10000 (99.22%), error:       269.87000, best error:       253.84074 on epoch:    64, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 749.3984985352s, input_fired_time: 10.3570966721, output_fired_time: 8.7619304657, propagate_forward_time: 286.7914428711, propagate_backward_time: 427.1080627441, weight_update_time: 0.7868360281, other_time: 16.3799743652
epoch time: 61.1171531677s, input_fired_time: 1.2767760754, output_fired_time: 0.0000000000, propagate_forward_time: 56.8644828796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9758949280
validation[          , genome 18322] predictions:    9922/  10000 (99.22%), best:    9922/10000 (99.22%), error:       259.77652, best error:       253.84074 on epoch:    64, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 747.7258911133s, input_fired_time: 10.3224420547, output_fired_time: 8.7147598267, propagate_forward_time: 286.5558471680, propagate_backward_time: 426.2937316895, weight_update_time: 0.7739733458, other_time: 15.8390808105
epoch time: 61.9202919006s, input_fired_time: 1.2818157673, output_fired_time: 0.0000000000, propagate_forward_time: 57.6357650757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0027122498
validation[          , genome 18322] predictions:    9925/  10000 (99.25%), best:    9922/10000 (99.22%), error:       255.15703, best error:       253.84074 on epoch:    64, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 745.6192626953s, input_fired_time: 10.2766599655, output_fired_time: 8.6247529984, propagate_forward_time: 285.7543945313, propagate_backward_time: 425.2001647949, weight_update_time: 0.7642374635, other_time: 15.7632751465
epoch time: 62.0336914063s, input_fired_time: 1.2873545885, output_fired_time: 0.0000000000, propagate_forward_time: 58.0399551392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7063827515
validation[          , genome 18322] predictions:    9913/  10000 (99.13%), best:    9922/10000 (99.22%), error:       268.42532, best error:       253.84074 on epoch:    64, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 743.5434570313s, input_fired_time: 10.2731761932, output_fired_time: 8.6496934891, propagate_forward_time: 285.2337951660, propagate_backward_time: 424.2179565430, weight_update_time: 0.7597997785, other_time: 15.1687927246
epoch time: 60.3119850159s, input_fired_time: 1.2686374187, output_fired_time: 0.0000000000, propagate_forward_time: 55.9512748718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0920715332
validation[          , genome 18322] predictions:    9919/  10000 (99.19%), best:    9922/10000 (99.22%), error:       259.67944, best error:       253.84074 on epoch:    64, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 747.5744018555s, input_fired_time: 10.2974834442, output_fired_time: 8.6520109177, propagate_forward_time: 286.7658691406, propagate_backward_time: 425.4912719727, weight_update_time: 0.7647949457, other_time: 16.3677368164
epoch time: 61.2381668091s, input_fired_time: 1.2694720030, output_fired_time: 0.0000000000, propagate_forward_time: 56.8403930664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1283035278
validation[          , genome 18322] predictions:    9929/  10000 (99.29%), best:    9922/10000 (99.22%), error:       258.13367, best error:       253.84074 on epoch:    64, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 742.5843505859s, input_fired_time: 10.2619085312, output_fired_time: 8.6422138214, propagate_forward_time: 283.9585571289, propagate_backward_time: 423.2696228027, weight_update_time: 0.7706228495, other_time: 16.4520568848
epoch time: 60.6669616699s, input_fired_time: 1.2565381527, output_fired_time: 0.0000000000, propagate_forward_time: 56.3490676880, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0613555908
validation[          , genome 18322] predictions:    9930/  10000 (99.30%), best:    9930/10000 (99.30%), error:       245.51492, best error:       245.51492 on epoch:    76, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

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_1518178202_48_18322.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18322_1_r1564100278_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: 0.980561
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000240784
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 9.63135e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 77
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 76
read number_validation_images: 10000
read best_validation_predictions: 9930
read best_validation_error: 245.515
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: 18322
read normal distribution: '1 0 0'
generator_str: '1733452038'
read generator: 1733452038
read generated_by_map:
1 disable_edge 1
reading 129 nodes.
reading 489 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: 757.425842285156s, input_fired_time: 10.3761348724365, output_fired_time: 8.73230743408203, propagate_forward_time: 291.406341552734, propagate_backward_time: 431.549957275391, weight_update_time: 0.762340426445007, other_time: 15.361083984375
epoch time: 62.8081970214844s, input_fired_time: 1.29289174079895, output_fired_time: 0, propagate_forward_time: 58.5223922729492, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.99291229248047
validation[          , genome 18322] predictions:    9928/  10000 (99.28%), best:    9930/10000 (99.30%), error:       255.66209, best error:       245.51492 on epoch:    76, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 750.3179321289s, input_fired_time: 10.2926073074, output_fired_time: 8.5832614899, propagate_forward_time: 287.9860229492, propagate_backward_time: 427.7269897461, weight_update_time: 0.7549706101, other_time: 15.7290649414
epoch time: 62.2480316162s, input_fired_time: 1.2774031162, output_fired_time: 0.0000000000, propagate_forward_time: 58.1009216309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8697052002
validation[          , genome 18322] predictions:    9924/  10000 (99.24%), best:    9930/10000 (99.30%), error:       250.70557, best error:       245.51492 on epoch:    76, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 761.2026367188s, input_fired_time: 10.3841142654, output_fired_time: 8.7883710861, propagate_forward_time: 292.6921997070, propagate_backward_time: 433.5028381348, weight_update_time: 0.7539209723, other_time: 15.8351135254
epoch time: 63.6199493408s, input_fired_time: 1.3177403212, output_fired_time: 0.0000000000, propagate_forward_time: 59.3685493469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9336585999
validation[          , genome 18322] predictions:    9928/  10000 (99.28%), best:    9930/10000 (99.30%), error:       260.44217, best error:       245.51492 on epoch:    76, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 770.9920654297s, input_fired_time: 10.6108884811, output_fired_time: 8.9753427505, propagate_forward_time: 297.3495483398, propagate_backward_time: 438.4245605469, weight_update_time: 0.8026088476, other_time: 15.6317138672
epoch time: 63.9298439026s, input_fired_time: 1.3315480947, output_fired_time: 0.0000000000, propagate_forward_time: 59.7179374695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8803596497
validation[          , genome 18322] predictions:    9922/  10000 (99.22%), best:    9930/10000 (99.30%), error:       253.67606, best error:       245.51492 on epoch:    76, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 751.9006958008s, input_fired_time: 10.3711652756, output_fired_time: 8.6907634735, propagate_forward_time: 289.3112792969, propagate_backward_time: 429.0463867188, weight_update_time: 0.7502205372, other_time: 14.4811401367
epoch time: 60.7997055054s, input_fired_time: 1.2603091002, output_fired_time: 0.0000000000, propagate_forward_time: 56.8822898865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6571083069
validation[          , genome 18322] predictions:    9915/  10000 (99.15%), best:    9930/10000 (99.30%), error:       263.63947, best error:       245.51492 on epoch:    76, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 748.9102783203s, input_fired_time: 10.3190059662, output_fired_time: 8.6503410339, propagate_forward_time: 287.1915893555, propagate_backward_time: 428.1148376465, weight_update_time: 0.7486073971, other_time: 14.6344909668
epoch time: 61.9466476440s, input_fired_time: 1.2833330631, output_fired_time: 0.0000000000, propagate_forward_time: 57.9521751404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7111396790
validation[          , genome 18322] predictions:    9926/  10000 (99.26%), best:    9930/10000 (99.30%), error:       252.30284, best error:       245.51492 on epoch:    76, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 748.2121582031s, input_fired_time: 10.3171119690, output_fired_time: 8.6774625778, propagate_forward_time: 286.8379821777, propagate_backward_time: 427.2976379395, weight_update_time: 0.7692722678, other_time: 15.0819091797
epoch time: 61.8256530762s, input_fired_time: 1.2766631842, output_fired_time: 0.0000000000, propagate_forward_time: 57.7558784485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7931098938
validation[          , genome 18322] predictions:    9933/  10000 (99.33%), best:    9933/10000 (99.33%), error:       244.96800, best error:       244.96800 on epoch:    83, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 750.5909423828s, input_fired_time: 10.3450279236, output_fired_time: 8.6750926971, propagate_forward_time: 288.2807312012, propagate_backward_time: 428.2752685547, weight_update_time: 0.7427595258, other_time: 15.0148010254
epoch time: 61.7126731873s, input_fired_time: 1.2789999247, output_fired_time: 0.0000000000, propagate_forward_time: 57.5828399658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8508338928
validation[          , genome 18322] predictions:    9925/  10000 (99.25%), best:    9933/10000 (99.33%), error:       251.93520, best error:       244.96800 on epoch:    83, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 752.0050659180s, input_fired_time: 10.3469648361, output_fired_time: 8.7473754883, propagate_forward_time: 288.1091918945, propagate_backward_time: 429.8286132813, weight_update_time: 0.7667147517, other_time: 14.9729003906
epoch time: 62.3884849548s, input_fired_time: 1.2924138308, output_fired_time: 0.0000000000, propagate_forward_time: 58.3402824402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7557868958
validation[          , genome 18322] predictions:    9925/  10000 (99.25%), best:    9933/10000 (99.33%), error:       262.04337, best error:       244.96800 on epoch:    83, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 755.0636596680s, input_fired_time: 10.3980760574, output_fired_time: 8.6955776215, propagate_forward_time: 291.5249938965, propagate_backward_time: 429.6712036133, weight_update_time: 0.7606456280, other_time: 14.7738342285
epoch time: 61.8069190979s, input_fired_time: 1.2748371363, output_fired_time: 0.0000000000, propagate_forward_time: 57.8453979492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6866836548
validation[          , genome 18322] predictions:    9932/  10000 (99.32%), best:    9933/10000 (99.33%), error:       253.93021, best error:       244.96800 on epoch:    83, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 751.8555908203s, input_fired_time: 10.3331623077, output_fired_time: 8.7158327103, propagate_forward_time: 289.1292114258, propagate_backward_time: 429.2633666992, weight_update_time: 0.7502054572, other_time: 14.4140014648
epoch time: 61.8237152100s, input_fired_time: 1.2853652239, output_fired_time: 0.0000000000, propagate_forward_time: 57.9276084900, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6107406616
validation[          , genome 18322] predictions:    9932/  10000 (99.32%), best:    9933/10000 (99.33%), error:       248.20271, best error:       244.96800 on epoch:    83, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 750.1540527344s, input_fired_time: 10.3578491211, output_fired_time: 8.6991949081, propagate_forward_time: 289.1343994141, propagate_backward_time: 427.5422973633, weight_update_time: 0.7517337799, other_time: 14.4202880859
epoch time: 61.1585426331s, input_fired_time: 1.2708200216, output_fired_time: 0.0000000000, propagate_forward_time: 57.0741195679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8136024475
validation[          , genome 18322] predictions:    9927/  10000 (99.27%), best:    9933/10000 (99.33%), error:       251.80315, best error:       244.96800 on epoch:    83, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 751.6071166992s, input_fired_time: 10.3718776703, output_fired_time: 8.7155570984, propagate_forward_time: 288.8878173828, propagate_backward_time: 428.4936523438, weight_update_time: 0.7647846341, other_time: 15.1381835938
epoch time: 63.3335304260s, input_fired_time: 1.3070237637, output_fired_time: 0.0000000000, propagate_forward_time: 59.0075988770, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0189094543
validation[          , genome 18322] predictions:    9926/  10000 (99.26%), best:    9933/10000 (99.33%), error:       255.98344, best error:       244.96800 on epoch:    83, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 755.9500732422s, input_fired_time: 10.4060268402, output_fired_time: 8.7492446899, propagate_forward_time: 290.2053222656, propagate_backward_time: 430.8135070801, weight_update_time: 0.7650499940, other_time: 15.7759704590
epoch time: 62.0131416321s, input_fired_time: 1.2935864925, output_fired_time: 0.0000000000, propagate_forward_time: 57.7652168274, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9543380737
validation[          , genome 18322] predictions:    9927/  10000 (99.27%), best:    9933/10000 (99.33%), error:       247.42549, best error:       244.96800 on epoch:    83, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 756.5388183594s, input_fired_time: 10.4181718826, output_fired_time: 8.7101593018, propagate_forward_time: 290.8137817383, propagate_backward_time: 430.4961853027, weight_update_time: 0.7831779718, other_time: 16.1005554199
epoch time: 61.5826187134s, input_fired_time: 1.2717671394, output_fired_time: 0.0000000000, propagate_forward_time: 57.3309745789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9798774719
validation[          , genome 18322] predictions:    9933/  10000 (99.33%), best:    9933/10000 (99.33%), error:       243.09106, best error:       243.09106 on epoch:    91, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 752.3395385742s, input_fired_time: 10.3482685089, output_fired_time: 8.6909914017, propagate_forward_time: 288.6118164063, propagate_backward_time: 429.1175231934, weight_update_time: 0.7621841431, other_time: 15.5709533691
epoch time: 62.6212310791s, input_fired_time: 1.2944337130, output_fired_time: 0.0000000000, propagate_forward_time: 58.5070915222, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8197059631
validation[          , genome 18322] predictions:    9931/  10000 (99.31%), best:    9933/10000 (99.33%), error:       245.48076, best error:       243.09106 on epoch:    91, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 755.8477783203s, input_fired_time: 10.3781700134, output_fired_time: 8.7600879669, propagate_forward_time: 290.0773315430, propagate_backward_time: 431.3484497070, weight_update_time: 0.7562007904, other_time: 15.2837524414
epoch time: 62.3515243530s, input_fired_time: 1.2878007889, output_fired_time: 0.0000000000, propagate_forward_time: 58.2223167419, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8414077759
validation[          , genome 18322] predictions:    9929/  10000 (99.29%), best:    9933/10000 (99.33%), error:       251.93698, best error:       243.09106 on epoch:    91, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 756.4808349609s, input_fired_time: 10.3810606003, output_fired_time: 8.6927700043, propagate_forward_time: 290.7051696777, propagate_backward_time: 431.4213562012, weight_update_time: 0.7536309958, other_time: 15.2805175781
epoch time: 61.5901489258s, input_fired_time: 1.2736536264, output_fired_time: 0.0000000000, propagate_forward_time: 57.5048027039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8116912842
validation[          , genome 18322] predictions:    9932/  10000 (99.32%), best:    9933/10000 (99.33%), error:       245.24829, best error:       243.09106 on epoch:    91, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 754.9855346680s, input_fired_time: 10.3892984390, output_fired_time: 8.6771955490, propagate_forward_time: 290.6019287109, propagate_backward_time: 430.2250976563, weight_update_time: 0.7458965778, other_time: 15.0920410156
epoch time: 61.7268142700s, input_fired_time: 1.2720389366, output_fired_time: 0.0000000000, propagate_forward_time: 57.7069053650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7478713989
validation[          , genome 18322] predictions:    9929/  10000 (99.29%), best:    9933/10000 (99.33%), error:       245.95276, best error:       243.09106 on epoch:    91, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 752.1452026367s, input_fired_time: 10.3123664856, output_fired_time: 8.6198635101, propagate_forward_time: 289.0239562988, propagate_backward_time: 429.4295349121, weight_update_time: 0.7419510484, other_time: 14.7594604492
epoch time: 207.6465148926s, input_fired_time: 2.9599995613, output_fired_time: 0.0000000000, propagate_forward_time: 198.9886322021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.6978759766
validation[          , genome 18322] predictions:    9930/  10000 (99.30%), best:    9933/10000 (99.33%), error:       249.13335, best error:       243.09106 on epoch:    91, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

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_1518178202_48_18322.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18322_1_r1564100278_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: 0.986616
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 8.63176e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.4527e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 97
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 91
read number_validation_images: 10000
read best_validation_predictions: 9933
read best_validation_error: 243.091
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: 18322
read normal distribution: '1 0 0'
generator_str: '1645264886'
read generator: 1645264886
read generated_by_map:
1 disable_edge 1
reading 129 nodes.
reading 489 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: 758.359436035156s, input_fired_time: 10.4109992980957, output_fired_time: 8.77394199371338, propagate_forward_time: 292.403930664063, propagate_backward_time: 431.386016845703, weight_update_time: 0.754047214984894, other_time: 15.3845520019531
epoch time: 62.3457450866699s, input_fired_time: 1.30034518241882, output_fired_time: 0, propagate_forward_time: 58.2360038757324, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.80939483642578
validation[          , genome 18322] predictions:    9927/  10000 (99.27%), best:    9933/10000 (99.33%), error:       244.22400, best error:       243.09106 on epoch:    91, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 754.6528320313s, input_fired_time: 10.4167222977, output_fired_time: 8.7639064789, propagate_forward_time: 289.7266235352, propagate_backward_time: 430.8495788574, weight_update_time: 0.7785912156, other_time: 14.8959655762
epoch time: 62.0187034607s, input_fired_time: 1.2956285477, output_fired_time: 0.0000000000, propagate_forward_time: 58.0857925415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6372833252
validation[          , genome 18322] predictions:    9932/  10000 (99.32%), best:    9933/10000 (99.33%), error:       245.99356, best error:       243.09106 on epoch:    91, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

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_1518178202_48_18322.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18322_1_r1564100278_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: 0.986946
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.79016e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.11606e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 99
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 91
read number_validation_images: 10000
read best_validation_predictions: 9933
read best_validation_error: 243.091
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: 18322
read normal distribution: '1 0 0'
generator_str: '2123693483'
read generator: 2123693483
read generated_by_map:
1 disable_edge 1
reading 129 nodes.
reading 489 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: 750.38037109375s, input_fired_time: 10.3362369537354, output_fired_time: 8.6981372833252, propagate_forward_time: 288.438842773438, propagate_backward_time: 428.539794921875, weight_update_time: 0.751757264137268, other_time: 14.3673706054688
epoch time: 61.6713104248047s, input_fired_time: 1.26551353931427, output_fired_time: 0, propagate_forward_time: 57.7383918762207, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.66740417480469
validation[          , genome 18322] predictions:    9931/  10000 (99.31%), best:    9933/10000 (99.33%), error:       244.12411, best error:       243.09106 on epoch:    91, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 748.6038208008s, input_fired_time: 10.2765665054, output_fired_time: 8.6107158661, propagate_forward_time: 287.5893859863, propagate_backward_time: 427.1778259277, weight_update_time: 0.7426983714, other_time: 14.9493408203
epoch time: 62.7191696167s, input_fired_time: 1.2753311396, output_fired_time: 0.0000000000, propagate_forward_time: 58.6092300415, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8346099854
validation[          , genome 18322] predictions:    9933/  10000 (99.33%), best:    9933/10000 (99.33%), error:       244.38345, best error:       243.09106 on epoch:    91, 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:
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_1518178202_48_18322.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_48_18322_1_r1564100278_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: 0.987244
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 7.03062e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.81225e-06
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 101
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 91
read number_validation_images: 10000
read best_validation_predictions: 9933
read best_validation_error: 243.091
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: 18322
read normal distribution: '1 0 0'
generator_str: '151827010'
read generator: 151827010
read generated_by_map:
1 disable_edge 1
reading 129 nodes.
reading 489 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: 749.018981933594s, input_fired_time: 10.2895259857178, output_fired_time: 8.62156772613525, propagate_forward_time: 288.320190429688, propagate_backward_time: 427.327789306641, weight_update_time: 0.745013117790222, other_time: 14.4598693847656
epoch time: 61.4921417236328s, input_fired_time: 1.2742395401001, output_fired_time: 0, propagate_forward_time: 57.5529708862305, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.66493225097656
validation[          , genome 18322] predictions:    9929/  10000 (99.29%), best:    9933/10000 (99.33%), error:       246.11818, best error:       243.09106 on epoch:    91, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 308.3314208984s, input_fired_time: 6.4045829773, output_fired_time: 0.0000000000, propagate_forward_time: 287.1810607910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.7457885742
best training[          , genome 18322] predictions:   50000/  50000 (100.00%), best:    9933/10000 (99.33%), error:        66.93317, best error:       243.09106 on epoch:    91, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 61.1268577576s, input_fired_time: 1.2600320578, output_fired_time: 0.0000000000, propagate_forward_time: 56.9394416809, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9273834229
   testing[          , genome 18322] predictions:    9928/  10000 (99.28%), best:    9933/10000 (99.33%), error:       212.23050, best error:       243.09106 on epoch:    91, epoch:  102/100, mu: 0.9873818159, learning_rate: 0.0000667909, weight_decay: 0.0000026716
backpropagation finished successfully!
23:53:52 (12680): called boinc_finish(0)

</stderr_txt>
]]>