Nameexact_genome_1542727803_167_6410_4
Workunit4101319
Created6 Feb 2019, 9:17:03 UTC
Sent6 Feb 2019, 9:17:13 UTC
Report deadline4 Mar 2019, 5:37:38 UTC
Received8 Feb 2019, 8:54:01 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID59208
Run time13 hours 0 min 22 sec
CPU time11 hours 48 min 25 sec
Validate stateValid
Credit6,461.88
Device peak FLOPS2.79 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size374.91 MB
Peak swap size373.28 MB
Peak disk usage11.05 MB

Stderr output

<core_client_version>7.6.33</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_intelx86.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_1542727803_167_6410.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410_4_r130804321_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6410
read normal distribution: '1 0.0527320429682732 1.44012010097504'
generator_str: '524361621'
read generator: 524361621
read generated_by_map:
1 crossover 1
reading 79 nodes.
reading 372 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: 1820360506
post shuffle 1: 1085600309
epoch time: 1635.21911621094s, input_fired_time: 12.939169883728, output_fired_time: 9.58952808380127, propagate_forward_time: 669.194458007813, propagate_backward_time: 918.399353027344, weight_update_time: 3.8052864074707, other_time: 25.0966186523438
epoch time: 128.133941650391s, input_fired_time: 1.02192330360413, output_fired_time: 0, propagate_forward_time: 123.091400146484, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.02061462402344
validation[          , genome  6410] predictions:    4886/  10000 (48.86%), best:    4886/10000 (48.86%), error:     17836.46094, best error:     17836.46094 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1620.5185546875s, input_fired_time: 12.9134864807, output_fired_time: 9.5998497009, propagate_forward_time: 636.6712646484, propagate_backward_time: 889.0793457031, weight_update_time: 3.7043266296, other_time: 72.2546386719
epoch time: 125.3986358643s, input_fired_time: 1.0114294291, output_fired_time: 0.0000000000, propagate_forward_time: 120.5327072144, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8544998169
validation[          , genome  6410] predictions:    4632/  10000 (46.32%), best:    4886/10000 (48.86%), error:     20605.35742, best error:     17836.46094 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1542.1867675781s, input_fired_time: 12.6209583282, output_fired_time: 9.6158456802, propagate_forward_time: 624.8848876953, propagate_backward_time: 868.9283447266, weight_update_time: 3.6073324680, other_time: 26.1367187500
epoch time: 152.8567810059s, input_fired_time: 1.1672986746, output_fired_time: 0.0000000000, propagate_forward_time: 146.8538513184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8356323242
validation[          , genome  6410] predictions:    5028/  10000 (50.28%), best:    5028/10000 (50.28%), error:     16197.92578, best error:     16197.92578 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1623.4265136719s, input_fired_time: 12.9458484650, output_fired_time: 9.5442523956, propagate_forward_time: 667.0425415039, propagate_backward_time: 897.1462402344, weight_update_time: 3.7203004360, other_time: 36.7476196289
epoch time: 136.8570556641s, input_fired_time: 1.0482795238, output_fired_time: 0.0000000000, propagate_forward_time: 130.5848083496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.2239685059
validation[          , genome  6410] predictions:    5214/  10000 (52.14%), best:    5214/10000 (52.14%), error:     15540.18848, best error:     15540.18848 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1608.4003906250s, input_fired_time: 12.7616844177, output_fired_time: 9.6558876038, propagate_forward_time: 632.7904663086, propagate_backward_time: 881.3945312500, weight_update_time: 3.7248334885, other_time: 71.7977905273
epoch time: 126.1146697998s, input_fired_time: 1.0350401402, output_fired_time: 0.0000000000, propagate_forward_time: 121.1667938232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9128341675
validation[          , genome  6410] predictions:    5351/  10000 (53.51%), best:    5351/10000 (53.51%), error:     14475.20703, best error:     14475.20703 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1761.4208984375s, input_fired_time: 13.1930685043, output_fired_time: 9.6967887878, propagate_forward_time: 635.5144042969, propagate_backward_time: 899.8476562500, weight_update_time: 3.6411170959, other_time: 203.1689453125
epoch time: 136.7056427002s, input_fired_time: 1.0439156294, output_fired_time: 0.0000000000, propagate_forward_time: 125.4591445923, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2025833130
validation[          , genome  6410] predictions:    5185/  10000 (51.85%), best:    5351/10000 (53.51%), error:     15262.23926, best error:     14475.20703 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1811.8258056641s, input_fired_time: 13.3319664001, output_fired_time: 10.0317764282, propagate_forward_time: 669.4689331055, propagate_backward_time: 985.3026123047, weight_update_time: 3.8062291145, other_time: 133.6905517578
epoch time: 210.5000305176s, input_fired_time: 1.0928372145, output_fired_time: 0.0000000000, propagate_forward_time: 197.9631195068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.4440765381
validation[          , genome  6410] predictions:    4730/  10000 (47.30%), best:    5351/10000 (53.51%), error:     16707.16406, best error:     14475.20703 on epoch:     4, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_intelx86.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_1542727803_167_6410.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410_4_r130804321_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: 0.647815
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00872921
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000349169
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: 7
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 4
read number_validation_images: 10000
read best_validation_predictions: 5351
read best_validation_error: 14475.2
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: 6410
read normal distribution: '1 0.0527320429682732 1.44012010097504'
generator_str: '1828631005'
read generator: 1828631005
read generated_by_map:
1 crossover 1
reading 79 nodes.
reading 372 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: 1980.12670898438s, input_fired_time: 13.9235954284668, output_fired_time: 10.1628818511963, propagate_forward_time: 835.984924316406, propagate_backward_time: 1043.37561035156, weight_update_time: 4.05262470245361, other_time: 76.6798095703125
epoch time: 150.311447143555s, input_fired_time: 1.07393491268158, output_fired_time: 0, propagate_forward_time: 144.821411132813, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.41610717773438
validation[          , genome  6410] predictions:    4964/  10000 (49.64%), best:    5351/10000 (53.51%), error:     15645.09473, best error:     14475.20703 on epoch:     4, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1681.8879394531s, input_fired_time: 12.7816486359, output_fired_time: 9.6828365326, propagate_forward_time: 697.0953979492, propagate_backward_time: 935.6984863281, weight_update_time: 4.0401701927, other_time: 26.6295776367
epoch time: 124.7698593140s, input_fired_time: 1.0151939392, output_fired_time: 0.0000000000, propagate_forward_time: 119.8638229370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8908462524
validation[          , genome  6410] predictions:    4979/  10000 (49.79%), best:    5351/10000 (53.51%), error:     16005.06641, best error:     14475.20703 on epoch:     4, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2031.6520996094s, input_fired_time: 74.8500595093, output_fired_time: 9.9010267258, propagate_forward_time: 864.1074829102, propagate_backward_time: 1030.7768554688, weight_update_time: 3.6083161831, other_time: 52.0166015625
epoch time: 126.1178741455s, input_fired_time: 1.0316721201, output_fired_time: 0.0000000000, propagate_forward_time: 119.6470489502, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.4391555786
validation[          , genome  6410] predictions:    5331/  10000 (53.31%), best:    5351/10000 (53.51%), error:     14616.69141, best error:     14475.20703 on epoch:     4, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1507.7678222656s, input_fired_time: 12.4676456451, output_fired_time: 9.5304450989, propagate_forward_time: 610.4989624023, propagate_backward_time: 848.8972778320, weight_update_time: 3.6209506989, other_time: 26.3735351563
epoch time: 126.3348922729s, input_fired_time: 1.0061630011, output_fired_time: 0.0000000000, propagate_forward_time: 121.3852386475, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9434890747
validation[          , genome  6410] predictions:    5236/  10000 (52.36%), best:    5351/10000 (53.51%), error:     14525.92285, best error:     14475.20703 on epoch:     4, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1592.7960205078s, input_fired_time: 12.7538719177, output_fired_time: 29.7961730957, propagate_forward_time: 645.4024658203, propagate_backward_time: 880.8907470703, weight_update_time: 3.5233578682, other_time: 23.9527587891
epoch time: 126.9346694946s, input_fired_time: 1.0148553848, output_fired_time: 0.0000000000, propagate_forward_time: 121.9425811768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9772338867
validation[          , genome  6410] predictions:    5340/  10000 (53.40%), best:    5340/10000 (53.40%), error:     14194.87793, best error:     14194.87793 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1504.9389648438s, input_fired_time: 12.4170417786, output_fired_time: 9.3357753754, propagate_forward_time: 610.1436157227, propagate_backward_time: 849.3554687500, weight_update_time: 3.5537407398, other_time: 23.6870727539
epoch time: 128.4875488281s, input_fired_time: 1.0705554485, output_fired_time: 0.0000000000, propagate_forward_time: 123.1851501465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.2318420410
validation[          , genome  6410] predictions:    5322/  10000 (53.22%), best:    5340/10000 (53.40%), error:     14237.10645, best error:     14194.87793 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1487.4124755859s, input_fired_time: 12.2703266144, output_fired_time: 9.1530857086, propagate_forward_time: 603.5108642578, propagate_backward_time: 839.4074096680, weight_update_time: 3.5334079266, other_time: 23.0707397461
epoch time: 126.0440826416s, input_fired_time: 1.0372461081, output_fired_time: 0.0000000000, propagate_forward_time: 121.0962219238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9106140137
validation[          , genome  6410] predictions:    5655/  10000 (56.55%), best:    5655/10000 (56.55%), error:     13298.93848, best error:     13298.93848 on epoch:    13, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2040.3237304688s, input_fired_time: 13.3403148651, output_fired_time: 9.8737106323, propagate_forward_time: 806.0977783203, propagate_backward_time: 1128.4296875000, weight_update_time: 3.7789866924, other_time: 82.5822753906
epoch time: 148.4646453857s, input_fired_time: 1.0314743519, output_fired_time: 0.0000000000, propagate_forward_time: 139.5234680176, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9096984863
validation[          , genome  6410] predictions:    5446/  10000 (54.46%), best:    5655/10000 (56.55%), error:     14176.76758, best error:     13298.93848 on epoch:    13, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1670.8999023438s, input_fired_time: 13.3761224747, output_fired_time: 10.2355556488, propagate_forward_time: 656.6412963867, propagate_backward_time: 913.2133789063, weight_update_time: 3.7225613594, other_time: 77.4335327148
epoch time: 135.4467010498s, input_fired_time: 1.0749822855, output_fired_time: 0.0000000000, propagate_forward_time: 126.6013183594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.7704010010
validation[          , genome  6410] predictions:    5480/  10000 (54.80%), best:    5655/10000 (56.55%), error:     13820.62305, best error:     13298.93848 on epoch:    13, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1756.2691650391s, input_fired_time: 13.0704240799, output_fired_time: 9.8935394287, propagate_forward_time: 674.9193725586, propagate_backward_time: 954.5639648438, weight_update_time: 7.0469660759, other_time: 103.8217773438
epoch time: 259.6467285156s, input_fired_time: 1.2524771690, output_fired_time: 0.0000000000, propagate_forward_time: 247.1026916504, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2915649414
validation[          , genome  6410] predictions:    5385/  10000 (53.85%), best:    5655/10000 (56.55%), error:     14148.51660, best error:     13298.93848 on epoch:    13, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2197.4992675781s, input_fired_time: 14.2699470520, output_fired_time: 11.4775047302, propagate_forward_time: 830.8457031250, propagate_backward_time: 1121.4433593750, weight_update_time: 4.1581215858, other_time: 219.4626464844
epoch time: 186.4426879883s, input_fired_time: 1.1605464220, output_fired_time: 0.0000000000, propagate_forward_time: 170.0981140137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 15.1840209961
validation[          , genome  6410] predictions:    5391/  10000 (53.91%), best:    5655/10000 (56.55%), error:     14377.93066, best error:     13298.93848 on epoch:    13, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1856.3334960938s, input_fired_time: 44.6302490234, output_fired_time: 12.2238092422, propagate_forward_time: 695.0300903320, propagate_backward_time: 1055.8737792969, weight_update_time: 3.8964960575, other_time: 48.5756835938
epoch time: 253.7938385010s, input_fired_time: 1.3671470881, output_fired_time: 0.0000000000, propagate_forward_time: 234.4105377197, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 18.0161590576
validation[          , genome  6410] predictions:    5359/  10000 (53.59%), best:    5655/10000 (56.55%), error:     14430.29102, best error:     13298.93848 on epoch:    13, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_intelx86.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_1542727803_167_6410.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_167_6410_4_r130804321_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: 0.805097
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00471692
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000188677
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: 19
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 13
read number_validation_images: 10000
read best_validation_predictions: 5655
read best_validation_error: 13298.9
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: 6410
read normal distribution: '1 0.0527320429682732 1.44012010097504'
generator_str: '91883437'
read generator: 91883437
read generated_by_map:
1 crossover 1
reading 79 nodes.
reading 372 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: 1515.11560058594s, input_fired_time: 12.5560264587402, output_fired_time: 9.27199077606201, propagate_forward_time: 619.079406738281, propagate_backward_time: 851.01416015625, weight_update_time: 3.53309154510498, other_time: 23.1940307617188
epoch time: 124.106781005859s, input_fired_time: 1.02435541152954, output_fired_time: 0, propagate_forward_time: 119.222816467285, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.85961151123047
validation[          , genome  6410] predictions:    5528/  10000 (55.28%), best:    5655/10000 (56.55%), error:     13890.21582, best error:     13298.93848 on epoch:    13, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1682.3583984375s, input_fired_time: 23.7549152374, output_fired_time: 10.2461528778, propagate_forward_time: 707.8851928711, propagate_backward_time: 912.7734985352, weight_update_time: 3.7999699116, other_time: 27.6987304688
epoch time: 132.8390655518s, input_fired_time: 1.1127717495, output_fired_time: 0.0000000000, propagate_forward_time: 127.5798950195, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1463928223
validation[          , genome  6410] predictions:    5495/  10000 (54.95%), best:    5655/10000 (56.55%), error:     13692.92285, best error:     13298.93848 on epoch:    13, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1690.7391357422s, input_fired_time: 34.1307983398, output_fired_time: 9.9603366852, propagate_forward_time: 665.0308837891, propagate_backward_time: 954.9924926758, weight_update_time: 3.9761981964, other_time: 26.6246948242
epoch time: 125.1802520752s, input_fired_time: 1.0343616009, output_fired_time: 0.0000000000, propagate_forward_time: 120.3340682983, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8118209839
validation[          , genome  6410] predictions:    5533/  10000 (55.33%), best:    5655/10000 (56.55%), error:     13550.73828, best error:     13298.93848 on epoch:    13, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1977.4030761719s, input_fired_time: 14.2764625549, output_fired_time: 10.3730525970, propagate_forward_time: 821.7000732422, propagate_backward_time: 1102.5239257813, weight_update_time: 4.0139665604, other_time: 28.5295410156
epoch time: 206.8298950195s, input_fired_time: 1.2079180479, output_fired_time: 0.0000000000, propagate_forward_time: 200.6906433105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9313354492
validation[          , genome  6410] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13027.18164, best error:     13027.18164 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1984.8845214844s, input_fired_time: 14.5107688904, output_fired_time: 10.8155975342, propagate_forward_time: 837.3618774414, propagate_backward_time: 1094.7075195313, weight_update_time: 3.9221303463, other_time: 27.4887695313
epoch time: 142.2780761719s, input_fired_time: 1.1365716457, output_fired_time: 0.0000000000, propagate_forward_time: 136.5455932617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5959167480
validation[          , genome  6410] predictions:    5474/  10000 (54.74%), best:    5690/10000 (56.90%), error:     14058.69336, best error:     13027.18164 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1521.5314941406s, input_fired_time: 12.5761156082, output_fired_time: 9.2599773407, propagate_forward_time: 612.2950439453, propagate_backward_time: 854.5983276367, weight_update_time: 3.5850279331, other_time: 32.8019409180
epoch time: 125.1097640991s, input_fired_time: 1.0425448418, output_fired_time: 0.0000000000, propagate_forward_time: 120.2689743042, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7982482910
validation[          , genome  6410] predictions:    5716/  10000 (57.16%), best:    5690/10000 (56.90%), error:     13086.67090, best error:     13027.18164 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1567.0241699219s, input_fired_time: 13.0908260345, output_fired_time: 9.6182088852, propagate_forward_time: 634.9082031250, propagate_backward_time: 885.0914306641, weight_update_time: 3.6682567596, other_time: 24.3155517578
epoch time: 133.6907348633s, input_fired_time: 1.0894460678, output_fired_time: 0.0000000000, propagate_forward_time: 128.4969329834, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1043548584
validation[          , genome  6410] predictions:    5593/  10000 (55.93%), best:    5690/10000 (56.90%), error:     13582.85547, best error:     13027.18164 on epoch:    22, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 749.8171997070s, input_fired_time: 5.8752207756, output_fired_time: 0.0000000000, propagate_forward_time: 721.6979980469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 22.2439575195
best training[          , genome  6410] predictions:   32438/  50000 (64.88%), best:    5690/10000 (56.90%), error:     51678.10547, best error:     13027.18164 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 150.0710449219s, input_fired_time: 1.2661441565, output_fired_time: 0.0000000000, propagate_forward_time: 141.8027191162, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0021820068
   testing[          , genome  6410] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13027.18164, best error:     13027.18164 on epoch:    22, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
11:52:32 (3196): called boinc_finish(0)

</stderr_txt>
]]>