Nameexact_genome_1542605141_175_6296_1
Workunit4098470
Created19 Nov 2018, 6:40:26 UTC
Sent19 Nov 2018, 7:00:35 UTC
Report deadline11 Jan 2019, 0:34:18 UTC
Received16 Dec 2018, 7:54:57 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID79157
Run time13 hours 25 min 18 sec
CPU time13 hours 22 min 12 sec
Validate stateValid
Credit13,182.94
Device peak FLOPS4.43 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size532.71 MB
Peak swap size552.53 MB
Peak disk usage10.53 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_1542605141_175_6296.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542605141_175_6296_1_r2128753569_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542605141_175_6296.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: 50
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: 6296
read normal distribution: '1 -0.21211014688015 1.05120420455933'
generator_str: '604921464'
read generator: 604921464
read generated_by_map:
1 add_node 1
reading 88 nodes.
reading 340 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: 727460550
post shuffle 1: 1461558895
epoch time: 887.380432128906s, input_fired_time: 8.99716663360596, output_fired_time: 6.03537511825562, propagate_forward_time: 246.445373535156, propagate_backward_time: 617.934692382813, weight_update_time: 0.740143775939941, other_time: 7.9677734375
epoch time: 51.4860076904297s, input_fired_time: 0.937765538692474, output_fired_time: 0, propagate_forward_time: 49.1880416870117, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.36019897460938
validation[          , genome  6296] predictions:    5281/  10000 (52.81%), best:    5281/10000 (52.81%), error:     15838.35547, best error:     15838.35547 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 886.8671264648s, input_fired_time: 8.9067029953, output_fired_time: 6.0241117477, propagate_forward_time: 246.1516723633, propagate_backward_time: 617.6470947266, weight_update_time: 0.7397198081, other_time: 8.1375732422
epoch time: 51.4335861206s, input_fired_time: 0.9124278426, output_fired_time: 0.0000000000, propagate_forward_time: 49.1652870178, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3558731079
validation[          , genome  6296] predictions:    4930/  10000 (49.30%), best:    5281/10000 (52.81%), error:     17528.16211, best error:     15838.35547 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 887.2310180664s, input_fired_time: 8.8519077301, output_fired_time: 6.0390634537, propagate_forward_time: 246.1907196045, propagate_backward_time: 618.0105590820, weight_update_time: 0.7402022481, other_time: 8.1387329102
epoch time: 51.3886718750s, input_fired_time: 0.9024896026, output_fired_time: 0.0000000000, propagate_forward_time: 49.1201515198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3660316467
validation[          , genome  6296] predictions:    4872/  10000 (48.72%), best:    5281/10000 (52.81%), error:     17656.40625, best error:     15838.35547 on epoch:     0, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 887.0667114258s, input_fired_time: 8.8186769485, output_fired_time: 6.0316367149, propagate_forward_time: 246.2253723145, propagate_backward_time: 617.8645629883, weight_update_time: 0.7430348396, other_time: 8.1265258789
epoch time: 51.4393005371s, input_fired_time: 0.9127800465, output_fired_time: 0.0000000000, propagate_forward_time: 49.1665420532, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3599777222
validation[          , genome  6296] predictions:    4565/  10000 (45.65%), best:    5281/10000 (52.81%), error:     19260.43750, best error:     15838.35547 on epoch:     0, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 888.0264892578s, input_fired_time: 8.8159627914, output_fired_time: 6.0439486504, propagate_forward_time: 246.6462707520, propagate_backward_time: 618.3815917969, weight_update_time: 0.7414216399, other_time: 8.1386718750
epoch time: 51.4123382568s, input_fired_time: 0.9181573987, output_fired_time: 0.0000000000, propagate_forward_time: 49.1368255615, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3573570251
validation[          , genome  6296] predictions:    4878/  10000 (48.78%), best:    5281/10000 (52.81%), error:     17757.13086, best error:     15838.35547 on epoch:     0, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 886.7908325195s, input_fired_time: 8.7783813477, output_fired_time: 6.0281934738, propagate_forward_time: 246.1278076172, propagate_backward_time: 617.7069702148, weight_update_time: 0.7396429181, other_time: 8.1494750977
epoch time: 51.4208068848s, input_fired_time: 0.9076794982, output_fired_time: 0.0000000000, propagate_forward_time: 49.1472740173, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3658523560
validation[          , genome  6296] predictions:    5427/  10000 (54.27%), best:    5427/10000 (54.27%), error:     14521.95410, best error:     14521.95410 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 886.7011108398s, input_fired_time: 8.7847566605, output_fired_time: 6.0291862488, propagate_forward_time: 246.1790161133, propagate_backward_time: 617.5681762695, weight_update_time: 0.7400857806, other_time: 8.1400146484
epoch time: 51.3534851074s, input_fired_time: 0.8825896978, output_fired_time: 0.0000000000, propagate_forward_time: 49.1131134033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3577804565
validation[          , genome  6296] predictions:    5375/  10000 (53.75%), best:    5375/10000 (53.75%), error:     14346.12988, best error:     14346.12988 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 886.9642944336s, input_fired_time: 8.7736997604, output_fired_time: 6.0369830132, propagate_forward_time: 246.1875305176, propagate_backward_time: 617.9108886719, weight_update_time: 0.7397778630, other_time: 8.0551757813
epoch time: 51.5458488464s, input_fired_time: 0.8918063045, output_fired_time: 0.0000000000, propagate_forward_time: 49.2968521118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3571891785
validation[          , genome  6296] predictions:    5628/  10000 (56.28%), best:    5628/10000 (56.28%), error:     13992.70508, best error:     13992.70508 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 889.0005493164s, input_fired_time: 8.8128013611, output_fired_time: 6.0408434868, propagate_forward_time: 246.7669830322, propagate_backward_time: 619.2583618164, weight_update_time: 0.7434182167, other_time: 8.1215820313
epoch time: 51.5409240723s, input_fired_time: 0.8992178440, output_fired_time: 0.0000000000, propagate_forward_time: 49.2740097046, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3676948547
validation[          , genome  6296] predictions:    5487/  10000 (54.87%), best:    5628/10000 (56.28%), error:     14299.11523, best error:     13992.70508 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 888.1452026367s, input_fired_time: 8.7774152756, output_fired_time: 6.0365304947, propagate_forward_time: 246.4572448730, propagate_backward_time: 618.7127075195, weight_update_time: 0.7425038218, other_time: 8.1613159180
epoch time: 51.4703483582s, input_fired_time: 0.9186675549, output_fired_time: 0.0000000000, propagate_forward_time: 49.1818008423, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3698806763
validation[          , genome  6296] predictions:    5575/  10000 (55.75%), best:    5575/10000 (55.75%), error:     13583.90430, best error:     13583.90430 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 886.4649047852s, input_fired_time: 8.7981433868, output_fired_time: 6.0405378342, propagate_forward_time: 246.2310180664, propagate_backward_time: 617.3153076172, weight_update_time: 0.7409771681, other_time: 8.0798950195
epoch time: 51.4233551025s, input_fired_time: 0.9249807000, output_fired_time: 0.0000000000, propagate_forward_time: 49.1324195862, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3659553528
validation[          , genome  6296] predictions:    4807/  10000 (48.07%), best:    5575/10000 (55.75%), error:     17399.72852, best error:     13583.90430 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 886.7747802734s, input_fired_time: 8.8026227951, output_fired_time: 6.0246152878, propagate_forward_time: 246.2356719971, propagate_backward_time: 617.5831909180, weight_update_time: 0.7416043282, other_time: 8.1287231445
epoch time: 51.4442100525s, input_fired_time: 0.9013551474, output_fired_time: 0.0000000000, propagate_forward_time: 49.1831970215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3596572876
validation[          , genome  6296] predictions:    5548/  10000 (55.48%), best:    5575/10000 (55.75%), error:     13671.59570, best error:     13583.90430 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 887.6612548828s, input_fired_time: 8.8160524368, output_fired_time: 6.0266323090, propagate_forward_time: 246.4647827148, propagate_backward_time: 618.2202148438, weight_update_time: 0.7396178842, other_time: 8.1336059570
epoch time: 51.5926361084s, input_fired_time: 0.9163649082, output_fired_time: 0.0000000000, propagate_forward_time: 49.3187713623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3574981689
validation[          , genome  6296] predictions:    5492/  10000 (54.92%), best:    5575/10000 (55.75%), error:     14599.77148, best error:     13583.90430 on epoch:     9, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 887.3246459961s, input_fired_time: 8.8218097687, output_fired_time: 6.0438270569, propagate_forward_time: 246.3836822510, propagate_backward_time: 617.9616088867, weight_update_time: 0.7406630516, other_time: 8.1137084961
epoch time: 51.4885749817s, input_fired_time: 0.8963249922, output_fired_time: 0.0000000000, propagate_forward_time: 49.2342987061, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3579521179
validation[          , genome  6296] predictions:    5505/  10000 (55.05%), best:    5575/10000 (55.75%), error:     13991.59570, best error:     13583.90430 on epoch:     9, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 887.7867431641s, input_fired_time: 8.8438014984, output_fired_time: 6.0422372818, propagate_forward_time: 246.3970336914, propagate_backward_time: 618.3622436523, weight_update_time: 0.7404735088, other_time: 8.1414184570
epoch time: 51.6081161499s, input_fired_time: 0.9119427800, output_fired_time: 0.0000000000, propagate_forward_time: 49.3337326050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3624420166
validation[          , genome  6296] predictions:    5638/  10000 (56.38%), best:    5638/10000 (56.38%), error:     13448.11230, best error:     13448.11230 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 887.3709716797s, input_fired_time: 8.8251447678, output_fired_time: 6.0270452499, propagate_forward_time: 246.2625122070, propagate_backward_time: 618.0991210938, weight_update_time: 0.7407379150, other_time: 8.1571655273
epoch time: 51.4945297241s, input_fired_time: 0.9417694211, output_fired_time: 0.0000000000, propagate_forward_time: 49.1875877380, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3651733398
validation[          , genome  6296] predictions:    5752/  10000 (57.52%), best:    5752/10000 (57.52%), error:     13038.46582, best error:     13038.46582 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 887.7094726563s, input_fired_time: 8.8894071579, output_fired_time: 6.0286631584, propagate_forward_time: 246.7227478027, propagate_backward_time: 617.9453735352, weight_update_time: 0.7395030260, other_time: 8.1232299805
epoch time: 51.5582656860s, input_fired_time: 0.9290376306, output_fired_time: 0.0000000000, propagate_forward_time: 49.2591285706, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3700981140
validation[          , genome  6296] predictions:    5781/  10000 (57.81%), best:    5781/10000 (57.81%), error:     12989.82129, best error:     12989.82129 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 887.4990234375s, input_fired_time: 8.8771314621, output_fired_time: 6.0340428352, propagate_forward_time: 246.4318847656, propagate_backward_time: 618.0260009766, weight_update_time: 0.7417727113, other_time: 8.1299438477
epoch time: 51.9400901794s, input_fired_time: 0.9323602319, output_fired_time: 0.0000000000, propagate_forward_time: 49.6486434937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3590850830
validation[          , genome  6296] predictions:    5688/  10000 (56.88%), best:    5781/10000 (57.81%), error:     13232.79492, best error:     12989.82129 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 887.7142944336s, input_fired_time: 8.8922338486, output_fired_time: 6.0332913399, propagate_forward_time: 246.4512481689, propagate_backward_time: 618.1604614258, weight_update_time: 0.7457203865, other_time: 8.1771240234
epoch time: 51.4904518127s, input_fired_time: 0.9306239486, output_fired_time: 0.0000000000, propagate_forward_time: 49.1973915100, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3624382019
validation[          , genome  6296] predictions:    5619/  10000 (56.19%), best:    5781/10000 (57.81%), error:     14094.21582, best error:     12989.82129 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 890.8187866211s, input_fired_time: 8.9273099899, output_fired_time: 6.0361938477, propagate_forward_time: 247.3196105957, propagate_backward_time: 620.3408813477, weight_update_time: 0.7421419621, other_time: 8.1947631836
epoch time: 51.4785919189s, input_fired_time: 0.9399760365, output_fired_time: 0.0000000000, propagate_forward_time: 49.1817016602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3569145203
validation[          , genome  6296] predictions:    5682/  10000 (56.82%), best:    5781/10000 (57.81%), error:     13264.32031, best error:     12989.82129 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 886.9660644531s, input_fired_time: 8.9133253098, output_fired_time: 6.0344080925, propagate_forward_time: 246.2448577881, propagate_backward_time: 617.6554565430, weight_update_time: 0.7430269122, other_time: 8.1179809570
epoch time: 51.5154609680s, input_fired_time: 0.9554940462, output_fired_time: 0.0000000000, propagate_forward_time: 49.2094345093, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3505325317
validation[          , genome  6296] predictions:    5570/  10000 (55.70%), best:    5781/10000 (57.81%), error:     13779.97559, best error:     12989.82129 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 887.7454223633s, input_fired_time: 8.9412889481, output_fired_time: 6.0290770531, propagate_forward_time: 246.6277770996, propagate_backward_time: 617.9743652344, weight_update_time: 0.7423400879, other_time: 8.1729736328
epoch time: 51.5807266235s, input_fired_time: 0.9395252466, output_fired_time: 0.0000000000, propagate_forward_time: 49.2798728943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3613281250
validation[          , genome  6296] predictions:    5535/  10000 (55.35%), best:    5781/10000 (57.81%), error:     14334.02832, best error:     12989.82129 on epoch:    16, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 887.7559204102s, input_fired_time: 8.9398984909, output_fired_time: 6.0380363464, propagate_forward_time: 246.3326416016, propagate_backward_time: 618.2184448242, weight_update_time: 0.7427682281, other_time: 8.2269287109
epoch time: 51.5176391602s, input_fired_time: 0.9496005177, output_fired_time: 0.0000000000, propagate_forward_time: 49.2147102356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3533287048
validation[          , genome  6296] predictions:    5572/  10000 (55.72%), best:    5781/10000 (57.81%), error:     14543.85547, best error:     12989.82129 on epoch:    16, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 887.8768920898s, input_fired_time: 8.9523410797, output_fired_time: 6.0269870758, propagate_forward_time: 246.5730133057, propagate_backward_time: 618.1991577148, weight_update_time: 0.7426363826, other_time: 8.1254272461
epoch time: 51.5878181458s, input_fired_time: 0.9547206759, output_fired_time: 0.0000000000, propagate_forward_time: 49.2754516602, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3576469421
validation[          , genome  6296] predictions:    5831/  10000 (58.31%), best:    5781/10000 (57.81%), error:     13104.21387, best error:     12989.82129 on epoch:    16, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 887.5084228516s, input_fired_time: 8.9703502655, output_fired_time: 6.0345292091, propagate_forward_time: 246.2523193359, propagate_backward_time: 618.0952148438, weight_update_time: 0.7421711087, other_time: 8.1560058594
epoch time: 51.4346084595s, input_fired_time: 0.9454237223, output_fired_time: 0.0000000000, propagate_forward_time: 49.1104660034, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3787193298
validation[          , genome  6296] predictions:    5654/  10000 (56.54%), best:    5781/10000 (57.81%), error:     13570.74512, best error:     12989.82129 on epoch:    16, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 888.3055419922s, input_fired_time: 8.9806575775, output_fired_time: 6.0275778770, propagate_forward_time: 246.6163177490, propagate_backward_time: 618.4693603516, weight_update_time: 0.7430539131, other_time: 8.2116088867
epoch time: 51.5907135010s, input_fired_time: 0.9494488835, output_fired_time: 0.0000000000, propagate_forward_time: 49.2768363953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3644294739
validation[          , genome  6296] predictions:    5780/  10000 (57.80%), best:    5781/10000 (57.81%), error:     12989.91992, best error:     12989.82129 on epoch:    16, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 888.3120117188s, input_fired_time: 8.9815788269, output_fired_time: 6.0362710953, propagate_forward_time: 246.5717163086, propagate_backward_time: 618.5722045898, weight_update_time: 0.7431326509, other_time: 8.1502685547
epoch time: 51.5909767151s, input_fired_time: 0.9473180771, output_fired_time: 0.0000000000, propagate_forward_time: 49.2796554565, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3640022278
validation[          , genome  6296] predictions:    5777/  10000 (57.77%), best:    5777/10000 (57.77%), error:     12958.85059, best error:     12958.85059 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 890.0558471680s, input_fired_time: 9.0314474106, output_fired_time: 6.0508289337, propagate_forward_time: 247.0125274658, propagate_backward_time: 619.7981567383, weight_update_time: 0.7434198260, other_time: 8.1629028320
epoch time: 51.7240715027s, input_fired_time: 0.9521421790, output_fired_time: 0.0000000000, propagate_forward_time: 49.4244728088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3474578857
validation[          , genome  6296] predictions:    5758/  10000 (57.58%), best:    5777/10000 (57.77%), error:     13437.21191, best error:     12958.85059 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 889.0568847656s, input_fired_time: 9.0324287415, output_fired_time: 6.0467195511, propagate_forward_time: 246.7440338135, propagate_backward_time: 619.0717773438, weight_update_time: 0.7409231067, other_time: 8.1619873047
epoch time: 51.5815048218s, input_fired_time: 0.9380227327, output_fired_time: 0.0000000000, propagate_forward_time: 49.2825584412, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3609237671
validation[          , genome  6296] predictions:    5923/  10000 (59.23%), best:    5923/10000 (59.23%), error:     12631.19141, best error:     12631.19141 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 888.1826782227s, input_fired_time: 9.0335960388, output_fired_time: 6.0329027176, propagate_forward_time: 246.4996185303, propagate_backward_time: 618.2915039063, weight_update_time: 0.7413691878, other_time: 8.3250732422
epoch time: 51.5080108643s, input_fired_time: 0.9526163936, output_fired_time: 0.0000000000, propagate_forward_time: 49.1918830872, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3635101318
validation[          , genome  6296] predictions:    5739/  10000 (57.39%), best:    5923/10000 (59.23%), error:     13572.47949, best error:     12631.19141 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 888.4066162109s, input_fired_time: 9.0294065475, output_fired_time: 6.0425133705, propagate_forward_time: 246.6698760986, propagate_backward_time: 618.5479736328, weight_update_time: 0.7420302629, other_time: 8.1168212891
epoch time: 51.5679092407s, input_fired_time: 0.9618716240, output_fired_time: 0.0000000000, propagate_forward_time: 49.2324562073, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3735809326
validation[          , genome  6296] predictions:    5855/  10000 (58.55%), best:    5923/10000 (59.23%), error:     12887.23926, best error:     12631.19141 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 887.6405029297s, input_fired_time: 9.0447912216, output_fired_time: 6.0307531357, propagate_forward_time: 246.3508911133, propagate_backward_time: 618.0386352539, weight_update_time: 0.7420704961, other_time: 8.1754150391
epoch time: 51.6285514832s, input_fired_time: 0.9696444869, output_fired_time: 0.0000000000, propagate_forward_time: 49.2863540649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3725547791
validation[          , genome  6296] predictions:    6085/  10000 (60.85%), best:    6085/10000 (60.85%), error:     11974.71973, best error:     11974.71973 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 888.3576660156s, input_fired_time: 9.0501613617, output_fired_time: 6.0513439178, propagate_forward_time: 246.5903472900, propagate_backward_time: 618.3981323242, weight_update_time: 0.7418640852, other_time: 8.2677001953
epoch time: 51.6708641052s, input_fired_time: 0.9423919916, output_fired_time: 0.0000000000, propagate_forward_time: 49.2475280762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4809455872
validation[          , genome  6296] predictions:    5988/  10000 (59.88%), best:    6085/10000 (60.85%), error:     12592.60352, best error:     11974.71973 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 887.9622802734s, input_fired_time: 9.0635509491, output_fired_time: 6.0408105850, propagate_forward_time: 246.2865447998, propagate_backward_time: 617.9805908203, weight_update_time: 0.7460504174, other_time: 8.5907592773
epoch time: 51.4344787598s, input_fired_time: 0.9635525942, output_fired_time: 0.0000000000, propagate_forward_time: 49.1102104187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3607139587
validation[          , genome  6296] predictions:    6082/  10000 (60.82%), best:    6085/10000 (60.85%), error:     12000.29102, best error:     11974.71973 on epoch:    31, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 889.0383911133s, input_fired_time: 9.0777854919, output_fired_time: 6.0492348671, propagate_forward_time: 246.7642974854, propagate_backward_time: 618.8890991211, weight_update_time: 0.7421475649, other_time: 8.2579956055
epoch time: 51.6393318176s, input_fired_time: 0.9695897102, output_fired_time: 0.0000000000, propagate_forward_time: 49.3125572205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3571853638
validation[          , genome  6296] predictions:    5740/  10000 (57.40%), best:    6085/10000 (60.85%), error:     13479.78027, best error:     11974.71973 on epoch:    31, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 889.7932128906s, input_fired_time: 9.0784702301, output_fired_time: 6.0486907959, propagate_forward_time: 246.7555389404, propagate_backward_time: 619.4724121094, weight_update_time: 0.7422453761, other_time: 8.4380493164
epoch time: 51.5196266174s, input_fired_time: 0.9526272416, output_fired_time: 0.0000000000, propagate_forward_time: 49.2113647461, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3556327820
validation[          , genome  6296] predictions:    6062/  10000 (60.62%), best:    6085/10000 (60.85%), error:     12184.20996, best error:     11974.71973 on epoch:    31, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 887.6383666992s, input_fired_time: 9.0755062103, output_fired_time: 6.0387916565, propagate_forward_time: 246.2576446533, propagate_backward_time: 617.8757934570, weight_update_time: 0.7413392663, other_time: 8.3906250000
epoch time: 51.6910514832s, input_fired_time: 0.9759915471, output_fired_time: 0.0000000000, propagate_forward_time: 49.3548622131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3601989746
validation[          , genome  6296] predictions:    5524/  10000 (55.24%), best:    6085/10000 (60.85%), error:     14815.83008, best error:     11974.71973 on epoch:    31, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 888.4975585938s, input_fired_time: 9.0965223312, output_fired_time: 6.0430989265, propagate_forward_time: 246.5328979492, propagate_backward_time: 618.5418090820, weight_update_time: 0.7422662973, other_time: 8.2832641602
epoch time: 51.7005577087s, input_fired_time: 0.9751235247, output_fired_time: 0.0000000000, propagate_forward_time: 49.3479232788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3775100708
validation[          , genome  6296] predictions:    5894/  10000 (58.94%), best:    6085/10000 (60.85%), error:     12717.32422, best error:     11974.71973 on epoch:    31, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 889.2266845703s, input_fired_time: 9.1175775528, output_fired_time: 6.0370650291, propagate_forward_time: 246.7269287109, propagate_backward_time: 618.8222045898, weight_update_time: 0.7425530553, other_time: 8.5229492188
epoch time: 51.9322662354s, input_fired_time: 0.9627372026, output_fired_time: 0.0000000000, propagate_forward_time: 49.1773872375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7921409607
validation[          , genome  6296] predictions:    5887/  10000 (58.87%), best:    6085/10000 (60.85%), error:     12986.13965, best error:     11974.71973 on epoch:    31, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 888.3117065430s, input_fired_time: 9.1276807785, output_fired_time: 6.0305628777, propagate_forward_time: 246.4203643799, propagate_backward_time: 618.4818115234, weight_update_time: 0.7425385118, other_time: 8.2512817383
epoch time: 51.5968399048s, input_fired_time: 0.9831281304, output_fired_time: 0.0000000000, propagate_forward_time: 49.2482986450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3654136658
validation[          , genome  6296] predictions:    5964/  10000 (59.64%), best:    6085/10000 (60.85%), error:     12416.73047, best error:     11974.71973 on epoch:    31, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 888.2168579102s, input_fired_time: 9.1295137405, output_fired_time: 6.0395603180, propagate_forward_time: 246.2248535156, propagate_backward_time: 618.5859985352, weight_update_time: 0.7423098683, other_time: 8.2369384766
epoch time: 51.6526336670s, input_fired_time: 0.9614410400, output_fired_time: 0.0000000000, propagate_forward_time: 49.3052940369, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3858985901
validation[          , genome  6296] predictions:    6164/  10000 (61.64%), best:    6085/10000 (60.85%), error:     11989.62695, best error:     11974.71973 on epoch:    31, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 888.4716796875s, input_fired_time: 9.1554384232, output_fired_time: 6.0493578911, propagate_forward_time: 246.3986816406, propagate_backward_time: 618.4747924805, weight_update_time: 0.7438815832, other_time: 8.3933715820
epoch time: 51.6099357605s, input_fired_time: 0.9703883529, output_fired_time: 0.0000000000, propagate_forward_time: 49.2929878235, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3465614319
validation[          , genome  6296] predictions:    6114/  10000 (61.14%), best:    6114/10000 (61.14%), error:     11945.09961, best error:     11945.09961 on epoch:    41, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 888.1410522461s, input_fired_time: 9.1582908630, output_fired_time: 6.0357532501, propagate_forward_time: 246.4352264404, propagate_backward_time: 618.2718505859, weight_update_time: 0.7408524156, other_time: 8.2399291992
epoch time: 51.5460777283s, input_fired_time: 0.9928458929, output_fired_time: 0.0000000000, propagate_forward_time: 49.1833496094, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3698806763
validation[          , genome  6296] predictions:    6023/  10000 (60.23%), best:    6114/10000 (61.14%), error:     12584.03418, best error:     11945.09961 on epoch:    41, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 887.4453125000s, input_fired_time: 9.1495132446, output_fired_time: 6.0439910889, propagate_forward_time: 246.0847930908, propagate_backward_time: 617.8366088867, weight_update_time: 0.7397928834, other_time: 8.3303833008
epoch time: 51.5360031128s, input_fired_time: 0.9903558493, output_fired_time: 0.0000000000, propagate_forward_time: 49.1799468994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3656997681
validation[          , genome  6296] predictions:    6144/  10000 (61.44%), best:    6144/10000 (61.44%), error:     11886.47168, best error:     11886.47168 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 890.2890014648s, input_fired_time: 9.1844854355, output_fired_time: 6.0351676941, propagate_forward_time: 246.8268737793, propagate_backward_time: 619.7597656250, weight_update_time: 0.7411931753, other_time: 8.4826660156
epoch time: 51.5561141968s, input_fired_time: 0.9758158326, output_fired_time: 0.0000000000, propagate_forward_time: 49.2118225098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3684768677
validation[          , genome  6296] predictions:    6093/  10000 (60.93%), best:    6144/10000 (61.44%), error:     12115.20117, best error:     11886.47168 on epoch:    43, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 887.8663330078s, input_fired_time: 9.1766214371, output_fired_time: 6.0393095016, propagate_forward_time: 246.4021148682, propagate_backward_time: 617.8682250977, weight_update_time: 0.7442413568, other_time: 8.3800659180
epoch time: 51.5004997253s, input_fired_time: 0.9814489484, output_fired_time: 0.0000000000, propagate_forward_time: 49.1554908752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3635597229
validation[          , genome  6296] predictions:    6061/  10000 (60.61%), best:    6144/10000 (61.44%), error:     12134.67188, best error:     11886.47168 on epoch:    43, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 887.7921142578s, input_fired_time: 9.1923952103, output_fired_time: 6.0321631432, propagate_forward_time: 246.3926239014, propagate_backward_time: 617.9280395508, weight_update_time: 0.7411840558, other_time: 8.2468872070
epoch time: 51.6196022034s, input_fired_time: 0.9947184324, output_fired_time: 0.0000000000, propagate_forward_time: 49.2739143372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3509712219
validation[          , genome  6296] predictions:    5936/  10000 (59.36%), best:    6144/10000 (61.44%), error:     12483.33105, best error:     11886.47168 on epoch:    43, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 887.4362792969s, input_fired_time: 9.1944952011, output_fired_time: 6.0247368813, propagate_forward_time: 246.4667968750, propagate_backward_time: 617.4738159180, weight_update_time: 0.7408494949, other_time: 8.2764282227
epoch time: 51.5341720581s, input_fired_time: 0.9911420345, output_fired_time: 0.0000000000, propagate_forward_time: 49.1895103455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3535194397
validation[          , genome  6296] predictions:    6108/  10000 (61.08%), best:    6144/10000 (61.44%), error:     12127.45313, best error:     11886.47168 on epoch:    43, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 888.9526367188s, input_fired_time: 9.2067995071, output_fired_time: 6.0439662933, propagate_forward_time: 246.5307159424, propagate_backward_time: 618.8590698242, weight_update_time: 0.7419766784, other_time: 8.3121337891
epoch time: 51.6759338379s, input_fired_time: 0.9899982810, output_fired_time: 0.0000000000, propagate_forward_time: 49.3335685730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3523674011
validation[          , genome  6296] predictions:    6149/  10000 (61.49%), best:    6144/10000 (61.44%), error:     12108.91895, best error:     11886.47168 on epoch:    43, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 888.3707885742s, input_fired_time: 9.2190113068, output_fired_time: 6.0312170982, propagate_forward_time: 246.3731079102, propagate_backward_time: 618.4474487305, weight_update_time: 0.7446108460, other_time: 8.3000488281
epoch time: 53.8788986206s, input_fired_time: 1.0284266472, output_fired_time: 0.0000000000, propagate_forward_time: 50.7936859131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0567855835
validation[          , genome  6296] predictions:    6168/  10000 (61.68%), best:    6144/10000 (61.44%), error:     12041.25293, best error:     11886.47168 on epoch:    43, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 887.9346923828s, input_fired_time: 9.2215385437, output_fired_time: 6.0237827301, propagate_forward_time: 246.1596832275, propagate_backward_time: 617.9195556641, weight_update_time: 0.7396109700, other_time: 8.6101074219
epoch time: 51.5368843079s, input_fired_time: 1.0079400539, output_fired_time: 0.0000000000, propagate_forward_time: 49.1745185852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3544273376
validation[          , genome  6296] predictions:    6104/  10000 (61.04%), best:    6144/10000 (61.44%), error:     12417.72461, best error:     11886.47168 on epoch:    43, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 257.7087402344s, input_fired_time: 4.9521446228, output_fired_time: 0.0000000000, propagate_forward_time: 246.0063171387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.7502746582
best training[          , genome  6296] predictions:   37070/  50000 (74.14%), best:    6144/10000 (61.44%), error:     37382.21484, best error:     11886.47168 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 53.0260009766s, input_fired_time: 0.9893456697, output_fired_time: 0.0000000000, propagate_forward_time: 49.2321701050, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8044853210
   testing[          , genome  6296] predictions:    6144/  10000 (61.44%), best:    6144/10000 (61.44%), error:     11886.47168, best error:     11886.47168 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
01:54:24 (14240): called boinc_finish(0)

</stderr_txt>
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