Nameexact_genome_1542031203_174_5601_0
Workunit4081726
Created12 Nov 2018, 19:25:38 UTC
Sent12 Nov 2018, 19:30:17 UTC
Report deadline24 Dec 2018, 23:50:25 UTC
Received10 Dec 2018, 13:05:33 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time21 hours 46 min 56 sec
CPU time21 hours 41 min 46 sec
Validate stateValid
Credit10,545.16
Device peak FLOPS3.83 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.80 MB
Peak swap size543.45 MB
Peak disk usage9.90 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
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_1542031203_174_5601.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5601_0_r71556774_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5601.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: 5601
read normal distribution: '1 0 0'
generator_str: '1697627386'
read generator: 1697627386
read generated_by_map:
1 enable_node 1
reading 92 nodes.
reading 327 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: 555742460
post shuffle 1: 110494504
epoch time: 1478.8251953125s, input_fired_time: 10.3556146621704, output_fired_time: 9.53784465789795, propagate_forward_time: 559.940185546875, propagate_backward_time: 884.413818359375, weight_update_time: 1.31119048595428, other_time: 14.5777587890625
epoch time: 115.751739501953s, input_fired_time: 1.27865958213806, output_fired_time: 0, propagate_forward_time: 111.932792663574, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.54029083251953
validation[          , genome  5601] predictions:    4489/  10000 (44.89%), best:    4489/10000 (44.89%), error:     20545.84180, best error:     20545.84180 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1443.4511718750s, input_fired_time: 10.0780296326, output_fired_time: 9.3510646820, propagate_forward_time: 545.6060180664, propagate_backward_time: 864.3154907227, weight_update_time: 1.2896138430, other_time: 14.1005859375
epoch time: 109.6264038086s, input_fired_time: 1.2114799023, output_fired_time: 0.0000000000, propagate_forward_time: 105.9117050171, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5032196045
validation[          , genome  5601] predictions:    4851/  10000 (48.51%), best:    4851/10000 (48.51%), error:     17573.47070, best error:     17573.47070 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1404.2980957031s, input_fired_time: 9.7887649536, output_fired_time: 9.1235771179, propagate_forward_time: 530.3320312500, propagate_backward_time: 841.2904052734, weight_update_time: 1.2688276768, other_time: 13.7633056641
epoch time: 106.0289077759s, input_fired_time: 1.1806590557, output_fired_time: 0.0000000000, propagate_forward_time: 102.4533767700, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3948745728
validation[          , genome  5601] predictions:    4826/  10000 (48.26%), best:    4826/10000 (48.26%), error:     17447.93750, best error:     17447.93750 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1356.6767578125s, input_fired_time: 9.5835485458, output_fired_time: 8.8563871384, propagate_forward_time: 510.3237609863, propagate_backward_time: 814.5477905273, weight_update_time: 1.2370556593, other_time: 13.3652954102
epoch time: 101.4054031372s, input_fired_time: 1.1407912970, output_fired_time: 0.0000000000, propagate_forward_time: 97.9282608032, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3363494873
validation[          , genome  5601] predictions:    4655/  10000 (46.55%), best:    4826/10000 (48.26%), error:     17556.28516, best error:     17447.93750 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1301.3746337891s, input_fired_time: 9.3284740448, output_fired_time: 8.4174270630, propagate_forward_time: 488.3661193848, propagate_backward_time: 782.1682739258, weight_update_time: 1.2163467407, other_time: 13.0942993164
epoch time: 101.3350219727s, input_fired_time: 1.1336196661, output_fired_time: 0.0000000000, propagate_forward_time: 97.8558197021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3455810547
validation[          , genome  5601] predictions:    4796/  10000 (47.96%), best:    4796/10000 (47.96%), error:     16920.65430, best error:     16920.65430 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1305.5502929688s, input_fired_time: 9.3492221832, output_fired_time: 8.5231580734, propagate_forward_time: 490.5111999512, propagate_backward_time: 784.1394042969, weight_update_time: 1.2093102932, other_time: 13.0272216797
epoch time: 98.5986785889s, input_fired_time: 1.1212705374, output_fired_time: 0.0000000000, propagate_forward_time: 95.2059478760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2714614868
validation[          , genome  5601] predictions:    4866/  10000 (48.66%), best:    4866/10000 (48.66%), error:     15856.47656, best error:     15856.47656 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1311.6556396484s, input_fired_time: 9.3524198532, output_fired_time: 8.5596532822, propagate_forward_time: 490.2943420410, propagate_backward_time: 790.3400878906, weight_update_time: 1.2123836279, other_time: 13.1091308594
epoch time: 102.5686035156s, input_fired_time: 1.1446295977, output_fired_time: 0.0000000000, propagate_forward_time: 99.1072616577, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3167114258
validation[          , genome  5601] predictions:    4977/  10000 (49.77%), best:    4977/10000 (49.77%), error:     15542.10742, best error:     15542.10742 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1302.6302490234s, input_fired_time: 9.3220424652, output_fired_time: 8.3892459869, propagate_forward_time: 488.6434020996, propagate_backward_time: 783.2913208008, weight_update_time: 1.2034056187, other_time: 12.9841918945
epoch time: 89.1201553345s, input_fired_time: 1.0479654074, output_fired_time: 0.0000000000, propagate_forward_time: 85.9029541016, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1692352295
validation[          , genome  5601] predictions:    4968/  10000 (49.68%), best:    4977/10000 (49.77%), error:     16025.40527, best error:     15542.10742 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1253.4298095703s, input_fired_time: 9.1536149979, output_fired_time: 8.2770195007, propagate_forward_time: 467.6907348633, propagate_backward_time: 755.4913940430, weight_update_time: 1.1780918837, other_time: 12.8171386719
epoch time: 94.7397766113s, input_fired_time: 1.0896110535, output_fired_time: 0.0000000000, propagate_forward_time: 91.4454956055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2046661377
validation[          , genome  5601] predictions:    4960/  10000 (49.60%), best:    4977/10000 (49.77%), error:     16180.09863, best error:     15542.10742 on epoch:     6, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1265.3070068359s, input_fired_time: 9.1962528229, output_fired_time: 8.2625904083, propagate_forward_time: 473.5488891602, propagate_backward_time: 761.4926147461, weight_update_time: 1.1859854460, other_time: 12.8066406250
epoch time: 94.0905990601s, input_fired_time: 1.0891960859, output_fired_time: 0.0000000000, propagate_forward_time: 90.7559585571, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2454452515
validation[          , genome  5601] predictions:    5149/  10000 (51.49%), best:    5149/10000 (51.49%), error:     15216.05469, best error:     15216.05469 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1250.9267578125s, input_fired_time: 9.1473770142, output_fired_time: 8.1517295837, propagate_forward_time: 468.0947265625, propagate_backward_time: 752.8007202148, weight_update_time: 1.1774202585, other_time: 12.7322387695
epoch time: 97.8116989136s, input_fired_time: 1.1181147099, output_fired_time: 0.0000000000, propagate_forward_time: 94.4056167603, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2879638672
validation[          , genome  5601] predictions:    5244/  10000 (52.44%), best:    5244/10000 (52.44%), error:     14848.31641, best error:     14848.31641 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1268.6956787109s, input_fired_time: 9.2053117752, output_fired_time: 8.3995895386, propagate_forward_time: 471.7558898926, propagate_backward_time: 766.5296630859, weight_update_time: 1.1820478439, other_time: 12.8052978516
epoch time: 99.0614547729s, input_fired_time: 1.1196337938, output_fired_time: 0.0000000000, propagate_forward_time: 95.6894302368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2523880005
validation[          , genome  5601] predictions:    5222/  10000 (52.22%), best:    5222/10000 (52.22%), error:     14795.36914, best error:     14795.36914 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1317.9431152344s, input_fired_time: 9.4326629639, output_fired_time: 8.5871028900, propagate_forward_time: 495.1140747070, propagate_backward_time: 791.6215209961, weight_update_time: 1.2178975344, other_time: 13.1877441406
epoch time: 104.6929626465s, input_fired_time: 1.1655571461, output_fired_time: 0.0000000000, propagate_forward_time: 101.1780853271, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3493194580
validation[          , genome  5601] predictions:    5077/  10000 (50.77%), best:    5077/10000 (50.77%), error:     14775.81348, best error:     14775.81348 on epoch:    12, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1319.4429931641s, input_fired_time: 9.4376993179, output_fired_time: 8.6443519592, propagate_forward_time: 495.5925598145, propagate_backward_time: 792.6478881836, weight_update_time: 1.2184468508, other_time: 13.1204223633
epoch time: 101.6087570190s, input_fired_time: 1.1583580971, output_fired_time: 0.0000000000, propagate_forward_time: 98.1651840210, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2852172852
validation[          , genome  5601] predictions:    5129/  10000 (51.29%), best:    5129/10000 (51.29%), error:     14389.66504, best error:     14389.66504 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1281.7819824219s, input_fired_time: 9.2865533829, output_fired_time: 8.3284378052, propagate_forward_time: 480.3593750000, propagate_backward_time: 771.0197753906, weight_update_time: 1.1938544512, other_time: 12.7878417969
epoch time: 101.0427474976s, input_fired_time: 1.1477491856, output_fired_time: 0.0000000000, propagate_forward_time: 97.5913162231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3036804199
validation[          , genome  5601] predictions:    5309/  10000 (53.09%), best:    5129/10000 (51.29%), error:     14419.91992, best error:     14389.66504 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

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_1542031203_174_5601.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5601_0_r71556774_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: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
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: 15
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 13
read number_validation_images: 10000
read best_validation_predictions: 5129
read best_validation_error: 14389.7
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: 5601
read normal distribution: '1 0 0'
generator_str: '2124959528'
read generator: 2124959528
read generated_by_map:
1 enable_node 1
reading 92 nodes.
reading 327 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: 1506.52807617188s, input_fired_time: 36.0178375244141, output_fired_time: 31.116792678833, propagate_forward_time: 505.842590332031, propagate_backward_time: 851.075500488281, weight_update_time: 4.24762487411499, other_time: 82.475341796875
epoch time: 122.490356445313s, input_fired_time: 5.65834951400757, output_fired_time: 0, propagate_forward_time: 101.290512084961, propagate_backward_time: 0, weight_update_time: 0, other_time: 15.5414962768555
validation[          , genome  5601] predictions:    5368/  10000 (53.68%), best:    5368/10000 (53.68%), error:     14348.36719, best error:     14348.36719 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1486.9331054688s, input_fired_time: 34.9454421997, output_fired_time: 30.5190258026, propagate_forward_time: 499.3942871094, propagate_backward_time: 840.8522338867, weight_update_time: 4.1891994476, other_time: 81.2221069336
epoch time: 119.3994674683s, input_fired_time: 5.5931963921, output_fired_time: 0.0000000000, propagate_forward_time: 99.1529388428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.6533355713
validation[          , genome  5601] predictions:    5359/  10000 (53.59%), best:    5359/10000 (53.59%), error:     14313.63770, best error:     14313.63770 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1465.1962890625s, input_fired_time: 35.0040016174, output_fired_time: 30.8438167572, propagate_forward_time: 490.4055786133, propagate_backward_time: 829.9109497070, weight_update_time: 4.1148128510, other_time: 79.0318603516
epoch time: 114.5977401733s, input_fired_time: 5.5910964012, output_fired_time: 0.0000000000, propagate_forward_time: 95.0973663330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.9092788696
validation[          , genome  5601] predictions:    5187/  10000 (51.87%), best:    5359/10000 (53.59%), error:     14866.05762, best error:     14313.63770 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1531.8070068359s, input_fired_time: 36.1514472961, output_fired_time: 31.6527347565, propagate_forward_time: 515.7598876953, propagate_backward_time: 865.4600219727, weight_update_time: 4.2992959023, other_time: 82.7828979492
epoch time: 129.4990997314s, input_fired_time: 5.9190077782, output_fired_time: 0.0000000000, propagate_forward_time: 107.6427154541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.9373779297
validation[          , genome  5601] predictions:    5371/  10000 (53.71%), best:    5359/10000 (53.59%), error:     14354.22266, best error:     14313.63770 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1607.3525390625s, input_fired_time: 37.4638404846, output_fired_time: 32.2133369446, propagate_forward_time: 542.9923095703, propagate_backward_time: 908.8059082031, weight_update_time: 4.4240307808, other_time: 85.8770751953
epoch time: 127.9952392578s, input_fired_time: 5.9521231651, output_fired_time: 0.0000000000, propagate_forward_time: 106.9353713989, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.1077423096
validation[          , genome  5601] predictions:    5170/  10000 (51.70%), best:    5359/10000 (53.59%), error:     15000.16406, best error:     14313.63770 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1604.2797851563s, input_fired_time: 37.7152633667, output_fired_time: 32.2943840027, propagate_forward_time: 543.1019897461, propagate_backward_time: 905.8303833008, weight_update_time: 4.4019684792, other_time: 85.3377685547
epoch time: 128.8857727051s, input_fired_time: 5.8814530373, output_fired_time: 0.0000000000, propagate_forward_time: 106.8827438354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.1215744019
validation[          , genome  5601] predictions:    5199/  10000 (51.99%), best:    5359/10000 (53.59%), error:     15176.58691, best error:     14313.63770 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1804.6628417969s, input_fired_time: 37.9662704468, output_fired_time: 32.8619956970, propagate_forward_time: 623.4664916992, propagate_backward_time: 1025.1463623047, weight_update_time: 4.4264788628, other_time: 85.2218017578
epoch time: 147.0053253174s, input_fired_time: 6.0539956093, output_fired_time: 0.0000000000, propagate_forward_time: 124.8245544434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.1267700195
validation[          , genome  5601] predictions:    5327/  10000 (53.27%), best:    5359/10000 (53.59%), error:     14563.01563, best error:     14313.63770 on epoch:    16, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1754.1502685547s, input_fired_time: 35.2755546570, output_fired_time: 30.6049861908, propagate_forward_time: 613.7640991211, propagate_backward_time: 997.7703247070, weight_update_time: 4.1140522957, other_time: 76.7352905273
epoch time: 135.7469787598s, input_fired_time: 4.8223690987, output_fired_time: 0.0000000000, propagate_forward_time: 120.3633117676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5612945557
validation[          , genome  5601] predictions:    5261/  10000 (52.61%), best:    5359/10000 (53.59%), error:     14789.19727, best error:     14313.63770 on epoch:    16, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1784.1010742188s, input_fired_time: 35.9179725647, output_fired_time: 30.8605766296, propagate_forward_time: 624.1072387695, propagate_backward_time: 1015.7550048828, weight_update_time: 4.2310452461, other_time: 77.4603271484
epoch time: 149.2683868408s, input_fired_time: 6.1058068275, output_fired_time: 0.0000000000, propagate_forward_time: 124.8792572021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.2833251953
validation[          , genome  5601] predictions:    5402/  10000 (54.02%), best:    5402/10000 (54.02%), error:     14073.71387, best error:     14073.71387 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1761.0633544922s, input_fired_time: 35.7565650940, output_fired_time: 30.9551486969, propagate_forward_time: 616.9568481445, propagate_backward_time: 1000.1222534180, weight_update_time: 4.0943732262, other_time: 77.2725219727
epoch time: 150.1570281982s, input_fired_time: 5.6878938675, output_fired_time: 0.0000000000, propagate_forward_time: 130.1635742188, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.3055572510
validation[          , genome  5601] predictions:    5471/  10000 (54.71%), best:    5471/10000 (54.71%), error:     13610.73828, best error:     13610.73828 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1653.6120605469s, input_fired_time: 28.6778602600, output_fired_time: 25.6473979950, propagate_forward_time: 593.5962524414, propagate_backward_time: 950.0310668945, weight_update_time: 3.3811817169, other_time: 55.6595458984
epoch time: 141.1011657715s, input_fired_time: 5.1306009293, output_fired_time: 0.0000000000, propagate_forward_time: 123.8234176636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.1471481323
validation[          , genome  5601] predictions:    5601/  10000 (56.01%), best:    5601/10000 (56.01%), error:     13214.26953, best error:     13214.26953 on epoch:    25, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1712.7666015625s, input_fired_time: 31.5541820526, output_fired_time: 27.1750526428, propagate_forward_time: 607.5301513672, propagate_backward_time: 980.4284667969, weight_update_time: 3.7132318020, other_time: 66.0787353516
epoch time: 138.6584472656s, input_fired_time: 5.2434535027, output_fired_time: 0.0000000000, propagate_forward_time: 120.0330886841, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.3819046021
validation[          , genome  5601] predictions:    5325/  10000 (53.25%), best:    5601/10000 (56.01%), error:     14470.02441, best error:     13214.26953 on epoch:    25, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1695.2159423828s, input_fired_time: 31.3271064758, output_fired_time: 26.7723655701, propagate_forward_time: 599.6605224609, propagate_backward_time: 972.2300415039, weight_update_time: 3.6058521271, other_time: 65.2258911133
epoch time: 137.1338348389s, input_fired_time: 4.8693909645, output_fired_time: 0.0000000000, propagate_forward_time: 119.8168563843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.4475936890
validation[          , genome  5601] predictions:    5536/  10000 (55.36%), best:    5601/10000 (56.01%), error:     13562.35840, best error:     13214.26953 on epoch:    25, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1712.1870117188s, input_fired_time: 30.5347385406, output_fired_time: 26.0701675415, propagate_forward_time: 606.6750488281, propagate_backward_time: 982.4757690430, weight_update_time: 3.6033561230, other_time: 66.4312133789
epoch time: 135.6455535889s, input_fired_time: 4.3534102440, output_fired_time: 0.0000000000, propagate_forward_time: 120.0694732666, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2226715088
validation[          , genome  5601] predictions:    5466/  10000 (54.66%), best:    5601/10000 (56.01%), error:     13823.53711, best error:     13214.26953 on epoch:    25, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1686.1994628906s, input_fired_time: 28.1613159180, output_fired_time: 24.2802600861, propagate_forward_time: 603.8347167969, propagate_backward_time: 971.3398437500, weight_update_time: 3.3502075672, other_time: 58.5832519531
epoch time: 144.6635894775s, input_fired_time: 5.1373453140, output_fired_time: 0.0000000000, propagate_forward_time: 124.0930099487, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.4332351685
validation[          , genome  5601] predictions:    5430/  10000 (54.30%), best:    5601/10000 (56.01%), error:     14168.08887, best error:     13214.26953 on epoch:    25, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1613.3123779297s, input_fired_time: 22.5935516357, output_fired_time: 19.5153903961, propagate_forward_time: 584.1771850586, propagate_backward_time: 939.7576293945, weight_update_time: 2.6527807713, other_time: 47.2686767578
epoch time: 117.9724807739s, input_fired_time: 1.3742849827, output_fired_time: 0.0000000000, propagate_forward_time: 113.0175628662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5806350708
validation[          , genome  5601] predictions:    5403/  10000 (54.03%), best:    5601/10000 (56.01%), error:     14100.02832, best error:     13214.26953 on epoch:    25, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1505.1218261719s, input_fired_time: 10.8951539993, output_fired_time: 10.0506591797, propagate_forward_time: 566.8594360352, propagate_backward_time: 897.5977172852, weight_update_time: 1.4211932421, other_time: 19.7188720703
epoch time: 118.0759811401s, input_fired_time: 1.3719990253, output_fired_time: 0.0000000000, propagate_forward_time: 113.1339187622, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5700607300
validation[          , genome  5601] predictions:    5486/  10000 (54.86%), best:    5601/10000 (56.01%), error:     13847.96289, best error:     13214.26953 on epoch:    25, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1504.9052734375s, input_fired_time: 10.8747320175, output_fired_time: 9.9741878510, propagate_forward_time: 565.9487915039, propagate_backward_time: 898.4756469727, weight_update_time: 1.4187226295, other_time: 19.6318359375
epoch time: 117.6838455200s, input_fired_time: 1.3742833138, output_fired_time: 0.0000000000, propagate_forward_time: 112.7930450439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5165176392
validation[          , genome  5601] predictions:    5533/  10000 (55.33%), best:    5601/10000 (56.01%), error:     13371.10254, best error:     13214.26953 on epoch:    25, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1489.8280029297s, input_fired_time: 10.7714767456, output_fired_time: 9.9024295807, propagate_forward_time: 560.0728149414, propagate_backward_time: 889.7882080078, weight_update_time: 1.4118336439, other_time: 19.2930297852
epoch time: 118.2197265625s, input_fired_time: 1.3333673477, output_fired_time: 0.0000000000, propagate_forward_time: 114.1340179443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7523422241
validation[          , genome  5601] predictions:    5575/  10000 (55.75%), best:    5601/10000 (56.01%), error:     13385.17090, best error:     13214.26953 on epoch:    25, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1387.3615722656s, input_fired_time: 9.7904253006, output_fired_time: 8.8199357986, propagate_forward_time: 524.3457641602, propagate_backward_time: 831.3685913086, weight_update_time: 1.2424736023, other_time: 13.0368652344
epoch time: 106.0295486450s, input_fired_time: 1.2064943314, output_fired_time: 0.0000000000, propagate_forward_time: 102.6184768677, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2045745850
validation[          , genome  5601] predictions:    5558/  10000 (55.58%), best:    5601/10000 (56.01%), error:     13829.19922, best error:     13214.26953 on epoch:    25, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1341.7457275391s, input_fired_time: 9.5942878723, output_fired_time: 8.5183324814, propagate_forward_time: 506.6519775391, propagate_backward_time: 804.4182739258, weight_update_time: 1.2109096050, other_time: 12.5629272461
epoch time: 102.5993957520s, input_fired_time: 1.1790221930, output_fired_time: 0.0000000000, propagate_forward_time: 99.2630462646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1573257446
validation[          , genome  5601] predictions:    5649/  10000 (56.49%), best:    5649/10000 (56.49%), error:     13093.37598, best error:     13093.37598 on epoch:    35, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1355.9625244141s, input_fired_time: 9.6596918106, output_fired_time: 8.5399732590, propagate_forward_time: 514.1192016602, propagate_backward_time: 811.0798339844, weight_update_time: 1.2173955441, other_time: 12.5639038086
epoch time: 107.2623825073s, input_fired_time: 1.2199646235, output_fired_time: 0.0000000000, propagate_forward_time: 103.8437271118, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1986923218
validation[          , genome  5601] predictions:    5588/  10000 (55.88%), best:    5649/10000 (56.49%), error:     13317.54297, best error:     13093.37598 on epoch:    35, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1388.1307373047s, input_fired_time: 9.7694177628, output_fired_time: 8.7129611969, propagate_forward_time: 525.5250854492, propagate_backward_time: 831.3677978516, weight_update_time: 1.2370475531, other_time: 12.7554321289
epoch time: 107.8510665894s, input_fired_time: 1.2310419083, output_fired_time: 0.0000000000, propagate_forward_time: 104.3996810913, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2203445435
validation[          , genome  5601] predictions:    5669/  10000 (56.69%), best:    5649/10000 (56.49%), error:     13155.69727, best error:     13093.37598 on epoch:    35, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1377.7586669922s, input_fired_time: 9.7591075897, output_fired_time: 8.5993890762, propagate_forward_time: 519.7979736328, propagate_backward_time: 826.8453979492, weight_update_time: 1.2325907946, other_time: 12.7567749023
epoch time: 105.9397277832s, input_fired_time: 1.2079347372, output_fired_time: 0.0000000000, propagate_forward_time: 102.5295486450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2022476196
validation[          , genome  5601] predictions:    5370/  10000 (53.70%), best:    5649/10000 (56.49%), error:     14446.25977, best error:     13093.37598 on epoch:    35, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1376.1612548828s, input_fired_time: 9.7393646240, output_fired_time: 8.7168207169, propagate_forward_time: 518.6070556641, propagate_backward_time: 826.4462280273, weight_update_time: 1.2253396511, other_time: 12.6517944336
epoch time: 106.0690917969s, input_fired_time: 1.2096400261, output_fired_time: 0.0000000000, propagate_forward_time: 102.6461868286, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2132644653
validation[          , genome  5601] predictions:    5451/  10000 (54.51%), best:    5649/10000 (56.49%), error:     13635.60156, best error:     13093.37598 on epoch:    35, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1343.8731689453s, input_fired_time: 9.6116600037, output_fired_time: 8.4811792374, propagate_forward_time: 505.6006774902, propagate_backward_time: 807.6822509766, weight_update_time: 1.2118666172, other_time: 12.4973144531
epoch time: 104.4157104492s, input_fired_time: 1.2051064968, output_fired_time: 0.0000000000, propagate_forward_time: 100.9967422485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2138595581
validation[          , genome  5601] predictions:    5743/  10000 (57.43%), best:    5743/10000 (57.43%), error:     12758.29199, best error:     12758.29199 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1313.3076171875s, input_fired_time: 9.5193071365, output_fired_time: 8.2954826355, propagate_forward_time: 493.1192932129, propagate_backward_time: 789.9467773438, weight_update_time: 1.1994525194, other_time: 12.4267578125
epoch time: 108.4948348999s, input_fired_time: 1.2315702438, output_fired_time: 0.0000000000, propagate_forward_time: 105.0486145020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2146530151
validation[          , genome  5601] predictions:    5679/  10000 (56.79%), best:    5743/10000 (57.43%), error:     12920.79688, best error:     12758.29199 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1313.2270507813s, input_fired_time: 9.5540828705, output_fired_time: 8.3879079819, propagate_forward_time: 495.4729919434, propagate_backward_time: 787.5037841797, weight_update_time: 1.1891545057, other_time: 12.3082275391
epoch time: 106.3898544312s, input_fired_time: 1.2228479385, output_fired_time: 0.0000000000, propagate_forward_time: 102.9811859131, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1858215332
validation[          , genome  5601] predictions:    5634/  10000 (56.34%), best:    5743/10000 (57.43%), error:     13508.34668, best error:     12758.29199 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1332.4354248047s, input_fired_time: 9.6732769012, output_fired_time: 8.4473981857, propagate_forward_time: 503.0822448730, propagate_backward_time: 798.7159423828, weight_update_time: 1.2006900311, other_time: 12.5166015625
epoch time: 104.9339828491s, input_fired_time: 1.2137372494, output_fired_time: 0.0000000000, propagate_forward_time: 101.5359115601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1843338013
validation[          , genome  5601] predictions:    5806/  10000 (58.06%), best:    5743/10000 (57.43%), error:     12892.93945, best error:     12758.29199 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1312.0948486328s, input_fired_time: 9.5592174530, output_fired_time: 8.3367233276, propagate_forward_time: 494.2209472656, propagate_backward_time: 787.5631713867, weight_update_time: 1.1972055435, other_time: 12.4148559570
epoch time: 101.3410949707s, input_fired_time: 1.1775325537, output_fired_time: 0.0000000000, propagate_forward_time: 98.0381469727, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1254119873
validation[          , genome  5601] predictions:    5665/  10000 (56.65%), best:    5743/10000 (57.43%), error:     13183.71387, best error:     12758.29199 on epoch:    40, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

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_1542031203_174_5601.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_174_5601_0_r71556774_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: 0.941274
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.001243
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.97201e-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: 45
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 5743
read best_validation_error: 12758.3
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: 5601
read normal distribution: '1 0 0'
generator_str: '1382276621'
read generator: 1382276621
read generated_by_map:
1 enable_node 1
reading 92 nodes.
reading 327 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: 1046.83410644531s, input_fired_time: 8.74276638031006, output_fired_time: 7.16241359710693, propagate_forward_time: 384.714416503906, propagate_backward_time: 634.508239746094, weight_update_time: 1.06222748756409, other_time: 11.706298828125
epoch time: 55.024730682373s, input_fired_time: 0.801541268825531, output_fired_time: 0, propagate_forward_time: 52.5659599304199, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.65723037719727
validation[          , genome  5601] predictions:    5752/  10000 (57.52%), best:    5743/10000 (57.43%), error:     12780.43652, best error:     12758.29199 on epoch:    40, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1071.8579101563s, input_fired_time: 8.8412399292, output_fired_time: 7.3109974861, propagate_forward_time: 395.6119384766, propagate_backward_time: 648.3049316406, weight_update_time: 1.0765719414, other_time: 11.7888183594
epoch time: 60.2163619995s, input_fired_time: 0.8877020478, output_fired_time: 0.0000000000, propagate_forward_time: 57.4816551208, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8470039368
validation[          , genome  5601] predictions:    5783/  10000 (57.83%), best:    5783/10000 (57.83%), error:     12561.04590, best error:     12561.04590 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1087.9545898438s, input_fired_time: 8.9107837677, output_fired_time: 7.4093618393, propagate_forward_time: 402.5737304688, propagate_backward_time: 657.2225952148, weight_update_time: 1.0805473328, other_time: 11.8381958008
epoch time: 67.1512451172s, input_fired_time: 0.9453701377, output_fired_time: 0.0000000000, propagate_forward_time: 64.2747497559, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9311218262
validation[          , genome  5601] predictions:    5806/  10000 (58.06%), best:    5783/10000 (57.83%), error:     12764.30957, best error:     12561.04590 on epoch:    46, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 993.5814208984s, input_fired_time: 8.4584817886, output_fired_time: 6.8418288231, propagate_forward_time: 363.3664550781, propagate_backward_time: 603.6617431641, weight_update_time: 1.0274976492, other_time: 11.2528686523
epoch time: 113.7167129517s, input_fired_time: 1.3494451046, output_fired_time: 0.0000000000, propagate_forward_time: 109.8343124390, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5329589844
validation[          , genome  5601] predictions:    5801/  10000 (58.01%), best:    5783/10000 (57.83%), error:     12920.26660, best error:     12561.04590 on epoch:    46, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 984.6563720703s, input_fired_time: 8.4139852524, output_fired_time: 6.7798109055, propagate_forward_time: 359.8418579102, propagate_backward_time: 598.4307250977, weight_update_time: 1.0214225054, other_time: 11.1900024414
epoch time: 81.9688110352s, input_fired_time: 1.0740674734, output_fired_time: 0.0000000000, propagate_forward_time: 78.7867126465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1080322266
validation[          , genome  5601] predictions:    5726/  10000 (57.26%), best:    5783/10000 (57.83%), error:     12840.36230, best error:     12561.04590 on epoch:    46, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1045.9453125000s, input_fired_time: 8.7709712982, output_fired_time: 7.1671867371, propagate_forward_time: 384.2942810059, propagate_backward_time: 634.0053100586, weight_update_time: 1.0617457628, other_time: 11.7074584961
epoch time: 105.4370498657s, input_fired_time: 1.2444616556, output_fired_time: 0.0000000000, propagate_forward_time: 101.6119918823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5805969238
validation[          , genome  5601] predictions:    5794/  10000 (57.94%), best:    5783/10000 (57.83%), error:     12806.70117, best error:     12561.04590 on epoch:    46, 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: 726.9045410156s, input_fired_time: 8.2494573593, output_fired_time: 0.0000000000, propagate_forward_time: 704.6802368164, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.9748535156
best training[          , genome  5601] predictions:   34650/  50000 (69.30%), best:    5783/10000 (57.83%), error:     44270.39453, best error:     12561.04590 on epoch:    46, 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: 146.5490417480s, input_fired_time: 1.7390168905, output_fired_time: 0.0000000000, propagate_forward_time: 141.9208221436, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8892059326
   testing[          , genome  5601] predictions:    5783/  10000 (57.83%), best:    5783/10000 (57.83%), error:     12561.04590, best error:     12561.04590 on epoch:    46, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
14:02:12 (35760): called boinc_finish(0)

</stderr_txt>
]]>