Nameexact_genome_1542383404_174_6078_1
Workunit4093279
Created16 Nov 2018, 17:28:25 UTC
Sent16 Nov 2018, 17:58:02 UTC
Report deadline26 Dec 2018, 18:41:20 UTC
Received16 Dec 2018, 23:19:05 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID56670
Run time21 hours 53 min 50 sec
CPU time17 hours 51 min 10 sec
Validate stateValid
Credit10,007.52
Device peak FLOPS3.25 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.64 MB
Peak swap size545.22 MB
Peak disk usage9.21 MB

Stderr output

<core_client_version>7.14.2</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_1542383404_174_6078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_174_6078_1_r171051148_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542383404_174_6078.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: 6078
read normal distribution: '1 1.35454833507538 0.526874125003815'
generator_str: '126787290'
read generator: 126787290
read generated_by_map:
1 split_edge 1
reading 89 nodes.
reading 304 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: 610205206
post shuffle 1: 508668763
epoch time: 1191.70678710938s, input_fired_time: 11.0745992660522, output_fired_time: 8.56249904632568, propagate_forward_time: 449.493041992188, propagate_backward_time: 708.884155273438, weight_update_time: 2.97544384002686, other_time: 13.6925048828125
epoch time: 92.622917175293s, input_fired_time: 1.33851075172424, output_fired_time: 0, propagate_forward_time: 89.2257843017578, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.05862426757813
validation[          , genome  6078] predictions:    4791/  10000 (47.91%), best:    4791/10000 (47.91%), error:     17768.56055, best error:     17768.56055 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1314.5289306641s, input_fired_time: 12.1369504929, output_fired_time: 9.4062423706, propagate_forward_time: 492.3455505371, propagate_backward_time: 785.2824707031, weight_update_time: 3.1948018074, other_time: 15.3576660156
epoch time: 97.5682067871s, input_fired_time: 1.4230197668, output_fired_time: 0.0000000000, propagate_forward_time: 93.8802261353, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2649612427
validation[          , genome  6078] predictions:    4920/  10000 (49.20%), best:    4920/10000 (49.20%), error:     17354.26953, best error:     17354.26953 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1477.0769042969s, input_fired_time: 13.5802803040, output_fired_time: 10.5304851532, propagate_forward_time: 550.3467407227, propagate_backward_time: 884.2371215820, weight_update_time: 3.6551609039, other_time: 18.3822021484
epoch time: 95.2287902832s, input_fired_time: 1.3270478249, output_fired_time: 0.0000000000, propagate_forward_time: 91.6649627686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2367782593
validation[          , genome  6078] predictions:    4851/  10000 (48.51%), best:    4851/10000 (48.51%), error:     17248.52344, best error:     17248.52344 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

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_1542383404_174_6078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_174_6078_1_r171051148_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: 0.569886
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0107172
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000428687
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: 3
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 2
read number_validation_images: 10000
read best_validation_predictions: 4851
read best_validation_error: 17248.5
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: 6078
read normal distribution: '1 1.35454833507538 0.526874125003815'
generator_str: '2069899132'
read generator: 2069899132
read generated_by_map:
1 split_edge 1
reading 89 nodes.
reading 304 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
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!
epoch time: 1380.48156738281s, input_fired_time: 12.5591011047363, output_fired_time: 9.88825988769531, propagate_forward_time: 519.621643066406, propagate_backward_time: 822.225708007813, weight_update_time: 3.42699861526489, other_time: 16.1868286132813
epoch time: 106.050453186035s, input_fired_time: 1.54300379753113, output_fired_time: 0, propagate_forward_time: 102.014060974121, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.49338531494141
validation[          , genome  6078] predictions:    5047/  10000 (50.47%), best:    5047/10000 (50.47%), error:     15782.15527, best error:     15782.15527 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1350.9426269531s, input_fired_time: 12.0967493057, output_fired_time: 9.6258716583, propagate_forward_time: 507.3046875000, propagate_backward_time: 805.7225341797, weight_update_time: 3.2707428932, other_time: 16.1927490234
epoch time: 109.5687332153s, input_fired_time: 1.5692609549, output_fired_time: 0.0000000000, propagate_forward_time: 105.2908020020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7086715698
validation[          , genome  6078] predictions:    4967/  10000 (49.67%), best:    5047/10000 (50.47%), error:     15995.14453, best error:     15782.15527 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1716.1688232422s, input_fired_time: 15.6459894180, output_fired_time: 12.4285268784, propagate_forward_time: 634.7684326172, propagate_backward_time: 1031.5864257813, weight_update_time: 4.3161659241, other_time: 21.7395019531
epoch time: 121.8090515137s, input_fired_time: 1.6234523058, output_fired_time: 0.0000000000, propagate_forward_time: 117.0991821289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0864181519
validation[          , genome  6078] predictions:    4972/  10000 (49.72%), best:    5047/10000 (50.47%), error:     16241.94922, best error:     15782.15527 on epoch:     3, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1450.6107177734s, input_fired_time: 13.2065277100, output_fired_time: 10.3768558502, propagate_forward_time: 537.9783325195, propagate_backward_time: 871.2235717773, weight_update_time: 3.6716566086, other_time: 17.8254394531
epoch time: 100.6801376343s, input_fired_time: 1.3790962696, output_fired_time: 0.0000000000, propagate_forward_time: 96.8856887817, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4153518677
validation[          , genome  6078] predictions:    5184/  10000 (51.84%), best:    5184/10000 (51.84%), error:     15181.62695, best error:     15181.62695 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1257.4633789063s, input_fired_time: 11.3894767761, output_fired_time: 8.9629135132, propagate_forward_time: 472.5075073242, propagate_backward_time: 749.5806274414, weight_update_time: 3.0096244812, other_time: 15.0228271484
epoch time: 97.7682952881s, input_fired_time: 1.3516680002, output_fired_time: 0.0000000000, propagate_forward_time: 94.0836334229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3329925537
validation[          , genome  6078] predictions:    5279/  10000 (52.79%), best:    5279/10000 (52.79%), error:     14352.58105, best error:     14352.58105 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1239.8146972656s, input_fired_time: 11.0556697845, output_fired_time: 8.9808006287, propagate_forward_time: 466.9239501953, propagate_backward_time: 737.9123535156, weight_update_time: 3.0073428154, other_time: 14.9418945313
epoch time: 96.7156219482s, input_fired_time: 1.3811163902, output_fired_time: 0.0000000000, propagate_forward_time: 93.0335693359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3009338379
validation[          , genome  6078] predictions:    5265/  10000 (52.65%), best:    5279/10000 (52.79%), error:     14790.23535, best error:     14352.58105 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1248.3143310547s, input_fired_time: 11.1975088120, output_fired_time: 9.0245828629, propagate_forward_time: 470.4648437500, propagate_backward_time: 743.1248168945, weight_update_time: 3.0592627525, other_time: 14.5026245117
epoch time: 98.7005386353s, input_fired_time: 1.4270170927, output_fired_time: 0.0000000000, propagate_forward_time: 95.0173263550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2561950684
validation[          , genome  6078] predictions:    5238/  10000 (52.38%), best:    5279/10000 (52.79%), error:     14706.56250, best error:     14352.58105 on epoch:     7, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1256.1379394531s, input_fired_time: 11.3980970383, output_fired_time: 9.0135183334, propagate_forward_time: 472.1364440918, propagate_backward_time: 748.9291381836, weight_update_time: 3.0798268318, other_time: 14.6607055664
epoch time: 98.0879440308s, input_fired_time: 1.4129335880, output_fired_time: 0.0000000000, propagate_forward_time: 94.3825836182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2924270630
validation[          , genome  6078] predictions:    5240/  10000 (52.40%), best:    5279/10000 (52.79%), error:     14975.96582, best error:     14352.58105 on epoch:     7, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1539.9685058594s, input_fired_time: 13.7606096268, output_fired_time: 11.1452732086, propagate_forward_time: 570.4235839844, propagate_backward_time: 926.1098022461, weight_update_time: 3.6961178780, other_time: 18.5292358398
epoch time: 121.1722946167s, input_fired_time: 1.7473198175, output_fired_time: 0.0000000000, propagate_forward_time: 116.2990188599, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1259536743
validation[          , genome  6078] predictions:    5307/  10000 (53.07%), best:    5307/10000 (53.07%), error:     14344.83398, best error:     14344.83398 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1554.5786132813s, input_fired_time: 14.5037651062, output_fired_time: 11.4578170776, propagate_forward_time: 574.7568969727, propagate_backward_time: 934.7942504883, weight_update_time: 3.8060822487, other_time: 19.0659179688
epoch time: 126.1815261841s, input_fired_time: 1.7707471848, output_fired_time: 0.0000000000, propagate_forward_time: 121.2047119141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2060699463
validation[          , genome  6078] predictions:    5216/  10000 (52.16%), best:    5307/10000 (53.07%), error:     14774.93262, best error:     14344.83398 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1387.9172363281s, input_fired_time: 12.5185585022, output_fired_time: 9.9867591858, propagate_forward_time: 516.3524780273, propagate_backward_time: 832.1539306641, weight_update_time: 3.4256370068, other_time: 16.9054565430
epoch time: 97.2422027588s, input_fired_time: 1.3880193233, output_fired_time: 0.0000000000, propagate_forward_time: 93.6053619385, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2488250732
validation[          , genome  6078] predictions:    5246/  10000 (52.46%), best:    5307/10000 (53.07%), error:     14576.74805, best error:     14344.83398 on epoch:    11, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1375.7740478516s, input_fired_time: 12.7700748444, output_fired_time: 9.9635782242, propagate_forward_time: 513.5459594727, propagate_backward_time: 822.6270751953, weight_update_time: 3.5173580647, other_time: 16.8673706055
epoch time: 96.7224807739s, input_fired_time: 1.3672658205, output_fired_time: 0.0000000000, propagate_forward_time: 93.1149215698, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2402954102
validation[          , genome  6078] predictions:    5418/  10000 (54.18%), best:    5418/10000 (54.18%), error:     14138.03809, best error:     14138.03809 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1241.7490234375s, input_fired_time: 11.2685842514, output_fired_time: 8.8298444748, propagate_forward_time: 467.6720886230, propagate_backward_time: 739.2998657227, weight_update_time: 3.1119990349, other_time: 14.6786499023
epoch time: 97.9043731689s, input_fired_time: 1.4293887615, output_fired_time: 0.0000000000, propagate_forward_time: 94.2203445435, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2546386719
validation[          , genome  6078] predictions:    5416/  10000 (54.16%), best:    5416/10000 (54.16%), error:     13894.41992, best error:     13894.41992 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1450.3140869141s, input_fired_time: 13.2168922424, output_fired_time: 10.9007663727, propagate_forward_time: 539.3827514648, propagate_backward_time: 868.7474365234, weight_update_time: 3.4980514050, other_time: 18.0662231445
epoch time: 97.8507003784s, input_fired_time: 1.4103010893, output_fired_time: 0.0000000000, propagate_forward_time: 93.9336090088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5067901611
validation[          , genome  6078] predictions:    5260/  10000 (52.60%), best:    5416/10000 (54.16%), error:     14813.44434, best error:     13894.41992 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1374.6040039063s, input_fired_time: 12.5971279144, output_fired_time: 10.0462427139, propagate_forward_time: 513.9545898438, propagate_backward_time: 821.0793457031, weight_update_time: 3.4314081669, other_time: 16.9266357422
epoch time: 112.5303649902s, input_fired_time: 1.6718686819, output_fired_time: 0.0000000000, propagate_forward_time: 108.0285415649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8299560547
validation[          , genome  6078] predictions:    5351/  10000 (53.51%), best:    5416/10000 (54.16%), error:     14554.98926, best error:     13894.41992 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1318.0109863281s, input_fired_time: 12.0808391571, output_fired_time: 9.8006467819, propagate_forward_time: 493.2390441895, propagate_backward_time: 787.4707031250, weight_update_time: 3.2416090965, other_time: 15.4197998047
epoch time: 97.9955062866s, input_fired_time: 1.5052996874, output_fired_time: 0.0000000000, propagate_forward_time: 94.1395339966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3506698608
validation[          , genome  6078] predictions:    5395/  10000 (53.95%), best:    5416/10000 (54.16%), error:     14177.52539, best error:     13894.41992 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1429.5275878906s, input_fired_time: 13.2786626816, output_fired_time: 10.6777782440, propagate_forward_time: 530.1419677734, propagate_backward_time: 858.0928955078, weight_update_time: 3.5360939503, other_time: 17.3363037109
epoch time: 97.0540084839s, input_fired_time: 1.3873099089, output_fired_time: 0.0000000000, propagate_forward_time: 93.4908676147, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1758346558
validation[          , genome  6078] predictions:    5551/  10000 (55.51%), best:    5551/10000 (55.51%), error:     13707.25293, best error:     13707.25293 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1392.8220214844s, input_fired_time: 12.7288932800, output_fired_time: 9.9594182968, propagate_forward_time: 518.6301879883, propagate_backward_time: 834.6978759766, weight_update_time: 3.3011350632, other_time: 16.8056030273
epoch time: 126.1423492432s, input_fired_time: 1.7611187696, output_fired_time: 0.0000000000, propagate_forward_time: 121.4002914429, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9809417725
validation[          , genome  6078] predictions:    5596/  10000 (55.96%), best:    5596/10000 (55.96%), error:     13597.99512, best error:     13597.99512 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1242.2843017578s, input_fired_time: 11.2244768143, output_fired_time: 8.9665307999, propagate_forward_time: 468.5634155273, propagate_backward_time: 738.8370361328, weight_update_time: 3.0968651772, other_time: 14.6928100586
epoch time: 97.9516906738s, input_fired_time: 1.4288107157, output_fired_time: 0.0000000000, propagate_forward_time: 94.1203994751, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4024810791
validation[          , genome  6078] predictions:    5614/  10000 (56.14%), best:    5614/10000 (56.14%), error:     13406.15820, best error:     13406.15820 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1352.0439453125s, input_fired_time: 12.1959819794, output_fired_time: 9.9352474213, propagate_forward_time: 502.4357299805, propagate_backward_time: 810.4220581055, weight_update_time: 3.4779868126, other_time: 17.0549316406
epoch time: 121.8265914917s, input_fired_time: 1.8570046425, output_fired_time: 0.0000000000, propagate_forward_time: 116.8490905762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1204986572
validation[          , genome  6078] predictions:    5345/  10000 (53.45%), best:    5614/10000 (56.14%), error:     14394.17285, best error:     13406.15820 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1295.7652587891s, input_fired_time: 11.7480087280, output_fired_time: 9.4712781906, propagate_forward_time: 485.9119567871, propagate_backward_time: 772.9731445313, weight_update_time: 3.1319818497, other_time: 15.6607666016
epoch time: 97.9851303101s, input_fired_time: 1.4754519463, output_fired_time: 0.0000000000, propagate_forward_time: 94.2453308105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2643508911
validation[          , genome  6078] predictions:    5507/  10000 (55.07%), best:    5614/10000 (56.14%), error:     14168.37793, best error:     13406.15820 on epoch:    21, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1253.1339111328s, input_fired_time: 11.4261159897, output_fired_time: 8.9636030197, propagate_forward_time: 471.8732910156, propagate_backward_time: 746.2635498047, weight_update_time: 3.1424829960, other_time: 14.6072998047
epoch time: 96.6756973267s, input_fired_time: 1.4914326668, output_fired_time: 0.0000000000, propagate_forward_time: 92.9741821289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2100830078
validation[          , genome  6078] predictions:    5545/  10000 (55.45%), best:    5614/10000 (56.14%), error:     13847.50098, best error:     13406.15820 on epoch:    21, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1367.6845703125s, input_fired_time: 12.4194011688, output_fired_time: 9.7029800415, propagate_forward_time: 510.5659179688, propagate_backward_time: 818.5012207031, weight_update_time: 3.4335303307, other_time: 16.4949951172
epoch time: 115.7898101807s, input_fired_time: 1.8991235495, output_fired_time: 0.0000000000, propagate_forward_time: 110.9069366455, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9837493896
validation[          , genome  6078] predictions:    5661/  10000 (56.61%), best:    5661/10000 (56.61%), error:     13339.17285, best error:     13339.17285 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1275.3670654297s, input_fired_time: 11.8755502701, output_fired_time: 8.8898735046, propagate_forward_time: 478.7690124512, propagate_backward_time: 760.6343383789, weight_update_time: 3.0936355591, other_time: 15.1981811523
epoch time: 104.5928573608s, input_fired_time: 1.5382715464, output_fired_time: 0.0000000000, propagate_forward_time: 100.2884368896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7661514282
validation[          , genome  6078] predictions:    5635/  10000 (56.35%), best:    5661/10000 (56.61%), error:     13497.99121, best error:     13339.17285 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1543.9989013672s, input_fired_time: 14.6053552628, output_fired_time: 11.3375959396, propagate_forward_time: 569.4436645508, propagate_backward_time: 928.8447265625, weight_update_time: 4.0706224442, other_time: 19.7675170898
epoch time: 122.9755783081s, input_fired_time: 1.7761086226, output_fired_time: 0.0000000000, propagate_forward_time: 118.0154876709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1839828491
validation[          , genome  6078] predictions:    5567/  10000 (55.67%), best:    5661/10000 (56.61%), error:     13757.39453, best error:     13339.17285 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1310.4570312500s, input_fired_time: 12.1237239838, output_fired_time: 9.2398118973, propagate_forward_time: 490.5031433105, propagate_backward_time: 782.7949218750, weight_update_time: 3.1746046543, other_time: 15.7952880859
epoch time: 106.6420669556s, input_fired_time: 1.5619299412, output_fired_time: 0.0000000000, propagate_forward_time: 102.2664413452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8136978149
validation[          , genome  6078] predictions:    5445/  10000 (54.45%), best:    5661/10000 (56.61%), error:     13907.81250, best error:     13339.17285 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1406.7650146484s, input_fired_time: 12.9583835602, output_fired_time: 10.3027048111, propagate_forward_time: 523.9171752930, propagate_backward_time: 842.5418090820, weight_update_time: 3.5770184994, other_time: 17.0449218750
epoch time: 97.9350509644s, input_fired_time: 1.4671919346, output_fired_time: 0.0000000000, propagate_forward_time: 94.2177276611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2501296997
validation[          , genome  6078] predictions:    5646/  10000 (56.46%), best:    5646/10000 (56.46%), error:     13256.70703, best error:     13256.70703 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1463.6354980469s, input_fired_time: 13.5863828659, output_fired_time: 10.8393821716, propagate_forward_time: 545.2000122070, propagate_backward_time: 876.3327026367, weight_update_time: 3.4703021049, other_time: 17.6770019531
epoch time: 98.0517501831s, input_fired_time: 1.4003605843, output_fired_time: 0.0000000000, propagate_forward_time: 94.4055709839, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2458190918
validation[          , genome  6078] predictions:    5634/  10000 (56.34%), best:    5646/10000 (56.46%), error:     13741.80176, best error:     13256.70703 on epoch:    29, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1339.3740234375s, input_fired_time: 12.5692882538, output_fired_time: 9.4857320786, propagate_forward_time: 501.2784423828, propagate_backward_time: 800.2042236328, weight_update_time: 3.3108668327, other_time: 15.8363037109
epoch time: 119.3202514648s, input_fired_time: 1.7598254681, output_fired_time: 0.0000000000, propagate_forward_time: 114.4925155640, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0679092407
validation[          , genome  6078] predictions:    5632/  10000 (56.32%), best:    5632/10000 (56.32%), error:     13103.98340, best error:     13103.98340 on epoch:    31, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1516.4753417969s, input_fired_time: 14.4132709503, output_fired_time: 10.6094675064, propagate_forward_time: 563.2565917969, propagate_backward_time: 909.5134887695, weight_update_time: 3.5547850132, other_time: 18.6824340820
epoch time: 98.4677124023s, input_fired_time: 1.5032701492, output_fired_time: 0.0000000000, propagate_forward_time: 94.4397048950, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5247344971
validation[          , genome  6078] predictions:    5645/  10000 (56.45%), best:    5632/10000 (56.32%), error:     13477.50781, best error:     13103.98340 on epoch:    31, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1356.9262695313s, input_fired_time: 12.8094549179, output_fired_time: 9.5379266739, propagate_forward_time: 506.9456176758, propagate_backward_time: 811.0183715820, weight_update_time: 3.2311270237, other_time: 16.6148681641
epoch time: 105.1944198608s, input_fired_time: 1.5743678808, output_fired_time: 0.0000000000, propagate_forward_time: 101.0922927856, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5277557373
validation[          , genome  6078] predictions:    5835/  10000 (58.35%), best:    5835/10000 (58.35%), error:     12657.93750, best error:     12657.93750 on epoch:    33, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1326.4696044922s, input_fired_time: 12.3066120148, output_fired_time: 9.3234272003, propagate_forward_time: 496.5549621582, propagate_backward_time: 792.4651489258, weight_update_time: 3.2904269695, other_time: 15.8193969727
epoch time: 102.0295333862s, input_fired_time: 1.4664202929, output_fired_time: 0.0000000000, propagate_forward_time: 98.1598052979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4033050537
validation[          , genome  6078] predictions:    5737/  10000 (57.37%), best:    5835/10000 (58.35%), error:     13021.87305, best error:     12657.93750 on epoch:    33, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1566.1901855469s, input_fired_time: 14.4945659637, output_fired_time: 11.5240135193, propagate_forward_time: 579.4348754883, propagate_backward_time: 940.8350830078, weight_update_time: 3.9668555260, other_time: 19.9016723633
epoch time: 113.3778915405s, input_fired_time: 1.7127585411, output_fired_time: 0.0000000000, propagate_forward_time: 108.8722152710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7929153442
validation[          , genome  6078] predictions:    5744/  10000 (57.44%), best:    5835/10000 (58.35%), error:     13206.34766, best error:     12657.93750 on epoch:    33, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1286.7011718750s, input_fired_time: 12.0170288086, output_fired_time: 9.0315608978, propagate_forward_time: 482.2553100586, propagate_backward_time: 767.9371948242, weight_update_time: 3.1447179317, other_time: 15.4599609375
epoch time: 97.2301788330s, input_fired_time: 1.4214003086, output_fired_time: 0.0000000000, propagate_forward_time: 93.3787002563, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4300765991
validation[          , genome  6078] predictions:    5686/  10000 (56.86%), best:    5835/10000 (58.35%), error:     13005.61621, best error:     12657.93750 on epoch:    33, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1316.2325439453s, input_fired_time: 12.3100080490, output_fired_time: 9.5512008667, propagate_forward_time: 492.2691040039, propagate_backward_time: 786.4665527344, weight_update_time: 3.3126754761, other_time: 15.6356811523
epoch time: 114.0149002075s, input_fired_time: 1.8470568657, output_fired_time: 0.0000000000, propagate_forward_time: 109.3736953735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7941513062
validation[          , genome  6078] predictions:    5794/  10000 (57.94%), best:    5835/10000 (58.35%), error:     13123.15723, best error:     12657.93750 on epoch:    33, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1399.4177246094s, input_fired_time: 12.9499530792, output_fired_time: 10.0382289886, propagate_forward_time: 523.2779541016, propagate_backward_time: 836.3072509766, weight_update_time: 3.4125263691, other_time: 16.8443603516
epoch time: 100.1203536987s, input_fired_time: 1.5398601294, output_fired_time: 0.0000000000, propagate_forward_time: 96.2491912842, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3312988281
validation[          , genome  6078] predictions:    5810/  10000 (58.10%), best:    5835/10000 (58.35%), error:     12770.12500, best error:     12657.93750 on epoch:    33, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1879.9969482422s, input_fired_time: 18.1046199799, output_fired_time: 14.4970932007, propagate_forward_time: 690.5611572266, propagate_backward_time: 1131.0903320313, weight_update_time: 4.8261733055, other_time: 25.7437744141
epoch time: 144.3863677979s, input_fired_time: 2.5657360554, output_fired_time: 0.0000000000, propagate_forward_time: 137.7388305664, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0818023682
validation[          , genome  6078] predictions:    5880/  10000 (58.80%), best:    5835/10000 (58.35%), error:     12788.82520, best error:     12657.93750 on epoch:    33, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 2034.0209960938s, input_fired_time: 19.9602127075, output_fired_time: 14.8343849182, propagate_forward_time: 740.1960449219, propagate_backward_time: 1230.5689697266, weight_update_time: 5.1324410439, other_time: 28.4614257813
epoch time: 156.0610198975s, input_fired_time: 2.3601412773, output_fired_time: 0.0000000000, propagate_forward_time: 149.4131469727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2877349854
validation[          , genome  6078] predictions:    5894/  10000 (58.94%), best:    5894/10000 (58.94%), error:     12406.00098, best error:     12406.00098 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1866.7368164063s, input_fired_time: 18.6534767151, output_fired_time: 13.7740030289, propagate_forward_time: 683.6983032227, propagate_backward_time: 1125.3004150391, weight_update_time: 4.4188699722, other_time: 25.3106689453
epoch time: 109.5490951538s, input_fired_time: 1.7720457315, output_fired_time: 0.0000000000, propagate_forward_time: 104.7984924316, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9785537720
validation[          , genome  6078] predictions:    5801/  10000 (58.01%), best:    5894/10000 (58.94%), error:     13043.71777, best error:     12406.00098 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1721.2613525391s, input_fired_time: 16.7847633362, output_fired_time: 12.4635820389, propagate_forward_time: 635.7274169922, propagate_backward_time: 1032.9448242188, weight_update_time: 4.4679484367, other_time: 23.3406982422
epoch time: 137.3427124023s, input_fired_time: 2.2761816978, output_fired_time: 0.0000000000, propagate_forward_time: 131.2603454590, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8061828613
validation[          , genome  6078] predictions:    5753/  10000 (57.53%), best:    5894/10000 (58.94%), error:     13018.92578, best error:     12406.00098 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1542.7423095703s, input_fired_time: 15.3401203156, output_fired_time: 11.9677095413, propagate_forward_time: 569.3238525391, propagate_backward_time: 925.8173217773, weight_update_time: 3.8788962364, other_time: 20.2933959961
epoch time: 108.1475753784s, input_fired_time: 1.8853236437, output_fired_time: 0.0000000000, propagate_forward_time: 103.4552001953, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8070526123
validation[          , genome  6078] predictions:    5832/  10000 (58.32%), best:    5894/10000 (58.94%), error:     12797.67285, best error:     12406.00098 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1679.7281494141s, input_fired_time: 16.1574878693, output_fired_time: 12.5020694733, propagate_forward_time: 611.5711059570, propagate_backward_time: 1017.1253051758, weight_update_time: 4.0952253342, other_time: 22.3722534180
epoch time: 162.2227020264s, input_fired_time: 2.5601265430, output_fired_time: 0.0000000000, propagate_forward_time: 154.7298431396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9327392578
validation[          , genome  6078] predictions:    5954/  10000 (59.54%), best:    5954/10000 (59.54%), error:     12202.23926, best error:     12202.23926 on epoch:    44, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1543.6573486328s, input_fired_time: 15.1078081131, output_fired_time: 11.1034936905, propagate_forward_time: 568.2197875977, propagate_backward_time: 929.5086669922, weight_update_time: 3.8616735935, other_time: 19.7175903320
epoch time: 94.3253173828s, input_fired_time: 1.5173723698, output_fired_time: 0.0000000000, propagate_forward_time: 90.2891006470, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5188446045
validation[          , genome  6078] predictions:    5887/  10000 (58.87%), best:    5954/10000 (59.54%), error:     12391.04590, best error:     12202.23926 on epoch:    44, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1330.7580566406s, input_fired_time: 13.0065326691, output_fired_time: 9.9666671753, propagate_forward_time: 492.6199951172, propagate_backward_time: 797.8963623047, weight_update_time: 3.3807535172, other_time: 17.2684326172
epoch time: 124.7827606201s, input_fired_time: 2.1375148296, output_fired_time: 0.0000000000, propagate_forward_time: 119.0766983032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5685501099
validation[          , genome  6078] predictions:    5852/  10000 (58.52%), best:    5954/10000 (59.54%), error:     12905.50195, best error:     12202.23926 on epoch:    44, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1563.5466308594s, input_fired_time: 15.4331932068, output_fired_time: 11.4168157578, propagate_forward_time: 571.7218627930, propagate_backward_time: 944.7326660156, weight_update_time: 3.8199501038, other_time: 20.2420043945
epoch time: 111.6736602783s, input_fired_time: 1.8509471416, output_fired_time: 0.0000000000, propagate_forward_time: 107.0092239380, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8134918213
validation[          , genome  6078] predictions:    5942/  10000 (59.42%), best:    5954/10000 (59.54%), error:     12494.84668, best error:     12202.23926 on epoch:    44, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

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_1542383404_174_6078.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542383404_174_6078_1_r171051148_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-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: 48
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 44
read number_validation_images: 10000
read best_validation_predictions: 5954
read best_validation_error: 12202.2
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: 6078
read normal distribution: '1 1.35454833507538 0.526874125003815'
generator_str: '1742227805'
read generator: 1742227805
read generated_by_map:
1 split_edge 1
reading 89 nodes.
reading 304 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
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!
epoch time: 1456.19580078125s, input_fired_time: 14.015905380249, output_fired_time: 10.9948444366455, propagate_forward_time: 537.643249511719, propagate_backward_time: 875.441162109375, weight_update_time: 3.65131855010986, other_time: 18.1006469726563
epoch time: 94.9923782348633s, input_fired_time: 1.49201583862305, output_fired_time: 0, propagate_forward_time: 91.1269302368164, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.37343597412109
validation[          , genome  6078] predictions:    5966/  10000 (59.66%), best:    5954/10000 (59.54%), error:     12450.86035, best error:     12202.23926 on epoch:    44, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1223.1152343750s, input_fired_time: 11.5797443390, output_fired_time: 8.7645893097, propagate_forward_time: 455.7577819824, propagate_backward_time: 732.4167480469, weight_update_time: 3.0450439453, other_time: 14.5963134766
epoch time: 95.4460220337s, input_fired_time: 1.5103397369, output_fired_time: 0.0000000000, propagate_forward_time: 91.6219406128, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3137435913
validation[          , genome  6078] predictions:    5975/  10000 (59.75%), best:    5954/10000 (59.54%), error:     12205.18555, best error:     12202.23926 on epoch:    44, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1231.6599121094s, input_fired_time: 11.7936439514, output_fired_time: 8.8831415176, propagate_forward_time: 457.3303527832, propagate_backward_time: 738.7783203125, weight_update_time: 3.0796933174, other_time: 14.8743896484
epoch time: 95.4066085815s, input_fired_time: 1.4993003607, output_fired_time: 0.0000000000, propagate_forward_time: 91.6233978271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2839126587
validation[          , genome  6078] predictions:    5972/  10000 (59.72%), best:    5954/10000 (59.54%), error:     12226.30469, best error:     12202.23926 on epoch:    44, 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: 477.9721679688s, input_fired_time: 7.4769568443, output_fired_time: 0.0000000000, propagate_forward_time: 458.5907592773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9044494629
best training[          , genome  6078] predictions:   35341/  50000 (70.68%), best:    5954/10000 (59.54%), error:     42273.03125, best error:     12202.23926 on epoch:    44, 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: 95.3837814331s, input_fired_time: 1.4618988037, output_fired_time: 0.0000000000, propagate_forward_time: 91.4482345581, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4736480713
   testing[          , genome  6078] predictions:    5954/  10000 (59.54%), best:    5954/10000 (59.54%), error:     12202.23926, best error:     12202.23926 on epoch:    44, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
16:18:52 (6020): called boinc_finish(0)

</stderr_txt>
]]>