Nameexact_genome_1542692703_168_6388_1
Workunit4100654
Created20 Nov 2018, 9:07:34 UTC
Sent20 Nov 2018, 9:29:00 UTC
Report deadline18 Dec 2018, 7:25:48 UTC
Received22 Nov 2018, 18:39:54 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID88437
Run time8 hours 38 min 58 sec
CPU time8 hours 33 min 39 sec
Validate stateValid
Credit6,978.61
Device peak FLOPS4.09 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size533.46 MB
Peak swap size555.01 MB
Peak disk usage12.17 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_168_6388.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542692703_168_6388_1_r1073439960_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542692703_168_6388.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: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
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: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
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: 6388
read normal distribution: '1 0 0'
generator_str: '1566253899'
read generator: 1566253899
read generated_by_map:
1 disable_edge 1
reading 102 nodes.
reading 430 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 174735567
post shuffle 1: 32250396
epoch time: 1120.48645019531s, input_fired_time: 12.3186187744141, output_fired_time: 8.91067028045654, propagate_forward_time: 393.074340820313, propagate_backward_time: 690.742309570313, weight_update_time: 1.18081843852997, other_time: 15.4405517578125
epoch time: 81.8339996337891s, input_fired_time: 1.38970196247101, output_fired_time: 0, propagate_forward_time: 77.6250610351563, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.81923675537109
validation[          , genome  6388] predictions:    5408/  10000 (54.08%), best:    5408/10000 (54.08%), error:     15155.74902, best error:     15155.74902 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1101.5012207031s, input_fired_time: 12.0382213593, output_fired_time: 9.2828464508, propagate_forward_time: 385.3186340332, propagate_backward_time: 679.8212280273, weight_update_time: 1.1272231340, other_time: 15.0403442383
epoch time: 80.7081298828s, input_fired_time: 1.3469489813, output_fired_time: 0.0000000000, propagate_forward_time: 76.6998596191, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6613235474
validation[          , genome  6388] predictions:    5236/  10000 (52.36%), best:    5408/10000 (54.08%), error:     16399.96094, best error:     15155.74902 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1099.9582519531s, input_fired_time: 11.9671039581, output_fired_time: 8.7660131454, propagate_forward_time: 387.7806701660, propagate_backward_time: 676.2484741211, weight_update_time: 1.1391105652, other_time: 15.1959838867
epoch time: 81.8016738892s, input_fired_time: 1.3654869795, output_fired_time: 0.0000000000, propagate_forward_time: 77.9071884155, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5289993286
validation[          , genome  6388] predictions:    5258/  10000 (52.58%), best:    5408/10000 (54.08%), error:     16854.05469, best error:     15155.74902 on epoch:     0, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1098.8388671875s, input_fired_time: 11.9398813248, output_fired_time: 8.7451143265, propagate_forward_time: 384.5553588867, propagate_backward_time: 678.4248657227, weight_update_time: 1.1322259903, other_time: 15.1735839844
epoch time: 81.5957031250s, input_fired_time: 1.2876825333, output_fired_time: 0.0000000000, propagate_forward_time: 77.6962738037, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6117477417
validation[          , genome  6388] predictions:    4920/  10000 (49.20%), best:    5408/10000 (54.08%), error:     16571.42773, best error:     15155.74902 on epoch:     0, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1106.9042968750s, input_fired_time: 11.9960174561, output_fired_time: 8.7846603394, propagate_forward_time: 390.2776489258, propagate_backward_time: 680.6644287109, weight_update_time: 1.1547605991, other_time: 15.1815795898
epoch time: 80.6527557373s, input_fired_time: 1.3427747488, output_fired_time: 0.0000000000, propagate_forward_time: 76.5846252441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7253570557
validation[          , genome  6388] predictions:    4782/  10000 (47.82%), best:    5408/10000 (54.08%), error:     17180.30078, best error:     15155.74902 on epoch:     0, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1101.4492187500s, input_fired_time: 11.8038997650, output_fired_time: 8.7989854813, propagate_forward_time: 384.8368835449, propagate_backward_time: 681.0436401367, weight_update_time: 1.1224133968, other_time: 14.9657592773
epoch time: 81.4381408691s, input_fired_time: 1.3043680191, output_fired_time: 0.0000000000, propagate_forward_time: 77.5154876709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6182861328
validation[          , genome  6388] predictions:    5232/  10000 (52.32%), best:    5408/10000 (54.08%), error:     15226.98730, best error:     15155.74902 on epoch:     0, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1093.3475341797s, input_fired_time: 11.7895860672, output_fired_time: 8.7767620087, propagate_forward_time: 383.0483703613, propagate_backward_time: 674.4288940430, weight_update_time: 1.1773716211, other_time: 15.3040161133
epoch time: 80.6199188232s, input_fired_time: 1.3182468414, output_fired_time: 0.0000000000, propagate_forward_time: 76.5576019287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7440719604
validation[          , genome  6388] predictions:    5371/  10000 (53.71%), best:    5371/10000 (53.71%), error:     15087.58203, best error:     15087.58203 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1100.5549316406s, input_fired_time: 11.9564819336, output_fired_time: 8.7774229050, propagate_forward_time: 385.7538452148, propagate_backward_time: 678.5283813477, weight_update_time: 1.1425818205, other_time: 15.5386962891
epoch time: 80.2364730835s, input_fired_time: 1.3233855963, output_fired_time: 0.0000000000, propagate_forward_time: 76.3435821533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5695037842
validation[          , genome  6388] predictions:    5476/  10000 (54.76%), best:    5476/10000 (54.76%), error:     14229.84863, best error:     14229.84863 on epoch:     7, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1105.4724121094s, input_fired_time: 11.8820590973, output_fired_time: 8.7615060806, propagate_forward_time: 388.1537170410, propagate_backward_time: 681.3558959961, weight_update_time: 1.1393524408, other_time: 15.3192749023
epoch time: 81.1146163940s, input_fired_time: 1.3274464607, output_fired_time: 0.0000000000, propagate_forward_time: 77.2114486694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5757217407
validation[          , genome  6388] predictions:    5133/  10000 (51.33%), best:    5476/10000 (54.76%), error:     15965.91309, best error:     14229.84863 on epoch:     7, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1093.6196289063s, input_fired_time: 11.6140403748, output_fired_time: 8.7231006622, propagate_forward_time: 383.1520080566, propagate_backward_time: 674.8731079102, weight_update_time: 1.1398925781, other_time: 15.2573852539
epoch time: 80.4479064941s, input_fired_time: 1.2565560341, output_fired_time: 0.0000000000, propagate_forward_time: 76.6269989014, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5643539429
validation[          , genome  6388] predictions:    5020/  10000 (50.20%), best:    5476/10000 (54.76%), error:     15499.33887, best error:     14229.84863 on epoch:     7, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1096.0322265625s, input_fired_time: 11.7338228226, output_fired_time: 8.7157821655, propagate_forward_time: 384.2151489258, propagate_backward_time: 676.3115844727, weight_update_time: 1.1320689917, other_time: 15.0559082031
epoch time: 80.7644577026s, input_fired_time: 1.3114324808, output_fired_time: 0.0000000000, propagate_forward_time: 76.7763519287, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6766738892
validation[          , genome  6388] predictions:    5634/  10000 (56.34%), best:    5634/10000 (56.34%), error:     13549.12891, best error:     13549.12891 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1102.1828613281s, input_fired_time: 12.0239257813, output_fired_time: 8.7891626358, propagate_forward_time: 386.7106933594, propagate_backward_time: 679.3049926758, weight_update_time: 1.1511131525, other_time: 15.3540649414
epoch time: 80.7402648926s, input_fired_time: 1.3181824684, output_fired_time: 0.0000000000, propagate_forward_time: 76.7946243286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6274566650
validation[          , genome  6388] predictions:    5148/  10000 (51.48%), best:    5634/10000 (56.34%), error:     15441.53418, best error:     13549.12891 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1098.0565185547s, input_fired_time: 11.9929037094, output_fired_time: 8.8119421005, propagate_forward_time: 384.9015808105, propagate_backward_time: 676.8789062500, weight_update_time: 1.1339255571, other_time: 15.4711914063
epoch time: 81.8841247559s, input_fired_time: 1.2871564627, output_fired_time: 0.0000000000, propagate_forward_time: 77.9805831909, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6163864136
validation[          , genome  6388] predictions:    5293/  10000 (52.93%), best:    5634/10000 (56.34%), error:     14358.35059, best error:     13549.12891 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1105.8449707031s, input_fired_time: 14.5267667770, output_fired_time: 8.7638549805, propagate_forward_time: 384.7299804688, propagate_backward_time: 682.1624145508, weight_update_time: 1.1298071146, other_time: 15.6620483398
epoch time: 80.5484161377s, input_fired_time: 1.3309347630, output_fired_time: 0.0000000000, propagate_forward_time: 76.5358657837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6816177368
validation[          , genome  6388] predictions:    5886/  10000 (58.86%), best:    5886/10000 (58.86%), error:     12567.29004, best error:     12567.29004 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1096.8144531250s, input_fired_time: 11.9957504272, output_fired_time: 8.7253713608, propagate_forward_time: 383.9301147461, propagate_backward_time: 676.9002685547, weight_update_time: 1.1415424347, other_time: 15.2630004883
epoch time: 80.7591094971s, input_fired_time: 1.3315618038, output_fired_time: 0.0000000000, propagate_forward_time: 76.8137207031, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6138305664
validation[          , genome  6388] predictions:    5524/  10000 (55.24%), best:    5886/10000 (58.86%), error:     13675.12012, best error:     12567.29004 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1102.0803222656s, input_fired_time: 12.0711364746, output_fired_time: 8.8037796021, propagate_forward_time: 386.2953796387, propagate_backward_time: 679.6834106445, weight_update_time: 1.1383905411, other_time: 15.2265014648
epoch time: 82.0943374634s, input_fired_time: 1.3010109663, output_fired_time: 0.0000000000, propagate_forward_time: 78.0224227905, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7709045410
validation[          , genome  6388] predictions:    5358/  10000 (53.58%), best:    5886/10000 (58.86%), error:     14203.12402, best error:     12567.29004 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1100.3145751953s, input_fired_time: 11.9023447037, output_fired_time: 8.7202005386, propagate_forward_time: 383.9797363281, propagate_backward_time: 680.6288452148, weight_update_time: 1.1284209490, other_time: 15.0834350586
epoch time: 80.3983535767s, input_fired_time: 1.3366760015, output_fired_time: 0.0000000000, propagate_forward_time: 76.3511428833, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7105331421
validation[          , genome  6388] predictions:    5610/  10000 (56.10%), best:    5886/10000 (58.86%), error:     13284.55273, best error:     12567.29004 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1094.0393066406s, input_fired_time: 11.9236946106, output_fired_time: 8.7513980865, propagate_forward_time: 383.2532348633, propagate_backward_time: 675.1165771484, weight_update_time: 1.1281844378, other_time: 14.9944458008
epoch time: 81.3840026855s, input_fired_time: 1.3334130049, output_fired_time: 0.0000000000, propagate_forward_time: 77.4375228882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6130676270
validation[          , genome  6388] predictions:    5429/  10000 (54.29%), best:    5886/10000 (58.86%), error:     14305.55176, best error:     12567.29004 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1112.4969482422s, input_fired_time: 12.1135826111, output_fired_time: 8.8230581284, propagate_forward_time: 390.9374389648, propagate_backward_time: 681.1098632813, weight_update_time: 1.1399976015, other_time: 19.5131225586
epoch time: 81.6836318970s, input_fired_time: 1.3730121851, output_fired_time: 0.0000000000, propagate_forward_time: 77.6305847168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6800384521
validation[          , genome  6388] predictions:    5633/  10000 (56.33%), best:    5886/10000 (58.86%), error:     14022.72266, best error:     12567.29004 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1105.6561279297s, input_fired_time: 12.0562820435, output_fired_time: 8.9892997742, propagate_forward_time: 385.5729064941, propagate_backward_time: 683.5181274414, weight_update_time: 1.1437907219, other_time: 15.5195922852
epoch time: 81.3206710815s, input_fired_time: 1.3605078459, output_fired_time: 0.0000000000, propagate_forward_time: 77.4094772339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5506896973
validation[          , genome  6388] predictions:    5843/  10000 (58.43%), best:    5886/10000 (58.86%), error:     12813.87598, best error:     12567.29004 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1094.7178955078s, input_fired_time: 11.9071884155, output_fired_time: 8.7537059784, propagate_forward_time: 383.0505676270, propagate_backward_time: 675.7854003906, weight_update_time: 1.1403042078, other_time: 15.2210693359
epoch time: 80.5916671753s, input_fired_time: 1.3411031961, output_fired_time: 0.0000000000, propagate_forward_time: 76.5422210693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7083435059
validation[          , genome  6388] predictions:    5722/  10000 (57.22%), best:    5886/10000 (58.86%), error:     13355.29980, best error:     12567.29004 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1101.8822021484s, input_fired_time: 12.1177282333, output_fired_time: 8.7777891159, propagate_forward_time: 385.4103088379, propagate_backward_time: 679.7221069336, weight_update_time: 1.7063753605, other_time: 15.8543090820
epoch time: 81.4342498779s, input_fired_time: 1.3907083273, output_fired_time: 0.0000000000, propagate_forward_time: 77.2922363281, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7513046265
validation[          , genome  6388] predictions:    5395/  10000 (53.95%), best:    5886/10000 (58.86%), error:     14654.88770, best error:     12567.29004 on epoch:    13, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1105.6729736328s, input_fired_time: 12.1181144714, output_fired_time: 8.8015336990, propagate_forward_time: 385.7326660156, propagate_backward_time: 683.5446777344, weight_update_time: 1.1544660330, other_time: 15.4759521484
epoch time: 83.0762863159s, input_fired_time: 1.3716467619, output_fired_time: 0.0000000000, propagate_forward_time: 79.0627212524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6419219971
validation[          , genome  6388] predictions:    5771/  10000 (57.71%), best:    5886/10000 (58.86%), error:     13180.45410, best error:     12567.29004 on epoch:    13, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1101.8343505859s, input_fired_time: 12.1295766830, output_fired_time: 8.8120794296, propagate_forward_time: 385.7022705078, propagate_backward_time: 680.1145629883, weight_update_time: 1.1426286697, other_time: 15.0758666992
epoch time: 80.5891494751s, input_fired_time: 1.3757938147, output_fired_time: 0.0000000000, propagate_forward_time: 76.5807723999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6325836182
validation[          , genome  6388] predictions:    5828/  10000 (58.28%), best:    5886/10000 (58.86%), error:     12780.18555, best error:     12567.29004 on epoch:    13, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1102.5129394531s, input_fired_time: 12.1804485321, output_fired_time: 8.7997417450, propagate_forward_time: 385.9899902344, propagate_backward_time: 680.3880004883, weight_update_time: 1.1218427420, other_time: 15.1548461914
epoch time: 82.3496398926s, input_fired_time: 1.3696987629, output_fired_time: 0.0000000000, propagate_forward_time: 78.3403854370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6395568848
validation[          , genome  6388] predictions:    5867/  10000 (58.67%), best:    5886/10000 (58.86%), error:     12872.78418, best error:     12567.29004 on epoch:    13, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1099.5417480469s, input_fired_time: 12.2278985977, output_fired_time: 8.7810134888, propagate_forward_time: 384.7573852539, propagate_backward_time: 678.2468872070, weight_update_time: 1.1471093893, other_time: 15.5285644531
epoch time: 80.6866989136s, input_fired_time: 1.3597526550, output_fired_time: 0.0000000000, propagate_forward_time: 76.6755752563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6513748169
validation[          , genome  6388] predictions:    5854/  10000 (58.54%), best:    5886/10000 (58.86%), error:     13151.37695, best error:     12567.29004 on epoch:    13, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 407.1656799316s, input_fired_time: 6.6727333069, output_fired_time: 0.0000000000, propagate_forward_time: 387.2393188477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.2536315918
best training[          , genome  6388] predictions:   32285/  50000 (64.57%), best:    5886/10000 (58.86%), error:     52603.58984, best error:     12567.29004 on epoch:    13, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 80.6589965820s, input_fired_time: 1.3366653919, output_fired_time: 0.0000000000, propagate_forward_time: 76.5541534424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7681808472
   testing[          , genome  6388] predictions:    5886/  10000 (58.86%), best:    5886/10000 (58.86%), error:     12567.29004, best error:     12567.29004 on epoch:    13, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
12:39:38 (6460): called boinc_finish(0)

</stderr_txt>
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