Nameexact_genome_1542277804_168_5973_3
Workunit4090767
Created15 Nov 2018, 17:20:39 UTC
Sent15 Nov 2018, 17:21:17 UTC
Report deadline8 Dec 2018, 5:04:20 UTC
Received20 Nov 2018, 20:24:44 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID21895
Run time6 hours 1 min 17 sec
CPU time5 hours 35 min 20 sec
Validate stateValid
Credit5,622.06
Device peak FLOPS4.37 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size518.18 MB
Peak swap size516.72 MB
Peak disk usage10.38 MB

Stderr output

<core_client_version>7.6.22</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_1542277804_168_5973.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973_3_r1839391656_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973.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: 5973
read normal distribution: '1 0 0'
generator_str: '1905345456'
read generator: 1905345456
read generated_by_map:
1 crossover 1
reading 81 nodes.
reading 342 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: 2012418575
post shuffle 1: 244553922
epoch time: 714.063842773438s, input_fired_time: 7.43454551696777, output_fired_time: 5.78870916366577, propagate_forward_time: 254.603713989258, propagate_backward_time: 436.453125, weight_update_time: 1.01924526691437, other_time: 9.78375244140625
epoch time: 55.1529197692871s, input_fired_time: 0.904476702213287, output_fired_time: 0, propagate_forward_time: 52.6237983703613, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.6246452331543
validation[          , genome  5973] predictions:    4835/  10000 (48.35%), best:    4835/10000 (48.35%), error:     19345.90820, best error:     19345.90820 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 715.5116577148s, input_fired_time: 7.4150090218, output_fired_time: 5.8030171394, propagate_forward_time: 254.8872222900, propagate_backward_time: 437.5910339355, weight_update_time: 1.0249223709, other_time: 9.8153381348
epoch time: 52.9385223389s, input_fired_time: 0.8612967134, output_fired_time: 0.0000000000, propagate_forward_time: 50.4626655579, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6145591736
validation[          , genome  5973] predictions:    5299/  10000 (52.99%), best:    5299/10000 (52.99%), error:     15336.58301, best error:     15336.58301 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 804.0046386719s, input_fired_time: 7.6637220383, output_fired_time: 6.0555877686, propagate_forward_time: 265.4398193359, propagate_backward_time: 514.6564331055, weight_update_time: 1.0554746389, other_time: 10.1890869141
epoch time: 53.9676818848s, input_fired_time: 0.8621504903, output_fired_time: 0.0000000000, propagate_forward_time: 51.4717559814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6337738037
validation[          , genome  5973] predictions:    5382/  10000 (53.82%), best:    5382/10000 (53.82%), error:     14668.17480, best error:     14668.17480 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 709.5200195313s, input_fired_time: 7.2422719002, output_fired_time: 5.7695860863, propagate_forward_time: 253.0120544434, propagate_backward_time: 433.7793273926, weight_update_time: 1.0164406300, other_time: 9.7167968750
epoch time: 52.7541046143s, input_fired_time: 0.8485499024, output_fired_time: 0.0000000000, propagate_forward_time: 50.3048553467, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6007003784
validation[          , genome  5973] predictions:    5690/  10000 (56.90%), best:    5690/10000 (56.90%), error:     13297.04199, best error:     13297.04199 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 709.2745971680s, input_fired_time: 7.2393169403, output_fired_time: 5.7784867287, propagate_forward_time: 252.7912902832, propagate_backward_time: 433.7328796387, weight_update_time: 1.0083864927, other_time: 9.7326049805
epoch time: 52.8303947449s, input_fired_time: 0.8556971550, output_fired_time: 0.0000000000, propagate_forward_time: 50.3722915649, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6024055481
validation[          , genome  5973] predictions:    5119/  10000 (51.19%), best:    5690/10000 (56.90%), error:     16369.80371, best error:     13297.04199 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

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_1542277804_168_5973.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973_3_r1839391656_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: 0.610847
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00967226
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00038689
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: 5
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 3
read number_validation_images: 10000
read best_validation_predictions: 5690
read best_validation_error: 13297
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: 5973
read normal distribution: '1 0 0'
generator_str: '968294430'
read generator: 968294430
read generated_by_map:
1 crossover 1
reading 81 nodes.
reading 342 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: 1206.578125s, input_fired_time: 7.72958087921143, output_fired_time: 5.94137191772461, propagate_forward_time: 333.02685546875, propagate_backward_time: 849.889038085938, weight_update_time: 1.03134632110596, other_time: 9.9912109375
epoch time: 53.3934631347656s, input_fired_time: 0.860707640647888, output_fired_time: 0, propagate_forward_time: 50.8990783691406, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.6336784362793
validation[          , genome  5973] predictions:    5180/  10000 (51.80%), best:    5690/10000 (56.90%), error:     15669.42090, best error:     13297.04199 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 723.5222778320s, input_fired_time: 7.2948303223, output_fired_time: 5.8153305054, propagate_forward_time: 258.3225708008, propagate_backward_time: 442.2729797363, weight_update_time: 1.0184657574, other_time: 9.8165588379
epoch time: 54.6384544373s, input_fired_time: 0.8576446176, output_fired_time: 0.0000000000, propagate_forward_time: 52.0821418762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6986694336
validation[          , genome  5973] predictions:    5244/  10000 (52.44%), best:    5690/10000 (56.90%), error:     15191.62598, best error:     13297.04199 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 711.4801025391s, input_fired_time: 7.0972738266, output_fired_time: 5.7705059052, propagate_forward_time: 254.2120056152, propagate_backward_time: 434.6616516113, weight_update_time: 1.0181168318, other_time: 9.7386474609
epoch time: 52.8437538147s, input_fired_time: 0.8241407275, output_fired_time: 0.0000000000, propagate_forward_time: 50.4215049744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5981063843
validation[          , genome  5973] predictions:    5434/  10000 (54.34%), best:    5690/10000 (56.90%), error:     14254.94434, best error:     13297.04199 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 710.8134765625s, input_fired_time: 7.1588068008, output_fired_time: 5.8193349838, propagate_forward_time: 253.2591552734, propagate_backward_time: 434.8831787109, weight_update_time: 1.0199730396, other_time: 9.6929931641
epoch time: 54.6783218384s, input_fired_time: 0.8518558145, output_fired_time: 0.0000000000, propagate_forward_time: 52.2070388794, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6194267273
validation[          , genome  5973] predictions:    5748/  10000 (57.48%), best:    5690/10000 (56.90%), error:     13320.19922, best error:     13297.04199 on epoch:     3, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 708.8909301758s, input_fired_time: 7.1684727669, output_fired_time: 5.7758641243, propagate_forward_time: 252.8742370605, propagate_backward_time: 433.3497619629, weight_update_time: 1.0116684437, other_time: 9.7225952148
epoch time: 52.6688041687s, input_fired_time: 0.8481233120, output_fired_time: 0.0000000000, propagate_forward_time: 50.2213668823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5993156433
validation[          , genome  5973] predictions:    5473/  10000 (54.73%), best:    5690/10000 (56.90%), error:     14170.27051, best error:     13297.04199 on epoch:     3, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 707.7967529297s, input_fired_time: 7.1960544586, output_fired_time: 5.7849431038, propagate_forward_time: 252.2886810303, propagate_backward_time: 432.8190917969, weight_update_time: 1.0086917877, other_time: 9.7079467773
epoch time: 53.5048103333s, input_fired_time: 0.8519166708, output_fired_time: 0.0000000000, propagate_forward_time: 51.0272712708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6256217957
validation[          , genome  5973] predictions:    5190/  10000 (51.90%), best:    5690/10000 (56.90%), error:     15310.06836, best error:     13297.04199 on epoch:     3, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 707.1351928711s, input_fired_time: 7.1480312347, output_fired_time: 5.7550930977, propagate_forward_time: 252.3787536621, propagate_backward_time: 432.1467285156, weight_update_time: 1.0151715279, other_time: 9.7066345215
epoch time: 53.1319007874s, input_fired_time: 0.8465684652, output_fired_time: 0.0000000000, propagate_forward_time: 50.6862716675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5990600586
validation[          , genome  5973] predictions:    5460/  10000 (54.60%), best:    5690/10000 (56.90%), error:     14568.95117, best error:     13297.04199 on epoch:     3, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 715.9411621094s, input_fired_time: 7.2121820450, output_fired_time: 5.8049592972, propagate_forward_time: 255.0709991455, propagate_backward_time: 438.0082702637, weight_update_time: 1.0152604580, other_time: 9.8448181152
epoch time: 53.8065338135s, input_fired_time: 0.8432294726, output_fired_time: 0.0000000000, propagate_forward_time: 51.3517456055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6115570068
validation[          , genome  5973] predictions:    5571/  10000 (55.71%), best:    5690/10000 (56.90%), error:     13796.70801, best error:     13297.04199 on epoch:     3, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 709.7553710938s, input_fired_time: 7.2107763290, output_fired_time: 5.7966494560, propagate_forward_time: 252.4539031982, propagate_backward_time: 434.6093750000, weight_update_time: 1.0112314224, other_time: 9.6846923828
epoch time: 53.9877357483s, input_fired_time: 0.8568881750, output_fired_time: 0.0000000000, propagate_forward_time: 51.5018043518, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6290435791
validation[          , genome  5973] predictions:    5658/  10000 (56.58%), best:    5690/10000 (56.90%), error:     13856.72461, best error:     13297.04199 on epoch:     3, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 803.4411621094s, input_fired_time: 7.8431901932, output_fired_time: 6.1283535957, propagate_forward_time: 290.3347473145, propagate_backward_time: 488.3242492676, weight_update_time: 1.0838955641, other_time: 10.8106079102
epoch time: 117.5365905762s, input_fired_time: 1.1081697941, output_fired_time: 0.0000000000, propagate_forward_time: 114.4223709106, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0060501099
validation[          , genome  5973] predictions:    5490/  10000 (54.90%), best:    5690/10000 (56.90%), error:     13819.96484, best error:     13297.04199 on epoch:     3, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 872.5137939453s, input_fired_time: 17.9874610901, output_fired_time: 6.0187315941, propagate_forward_time: 259.8762207031, propagate_backward_time: 578.5826416016, weight_update_time: 1.0416094065, other_time: 10.0487060547
epoch time: 52.5912818909s, input_fired_time: 0.8542759418, output_fired_time: 0.0000000000, propagate_forward_time: 50.1405334473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5964736938
validation[          , genome  5973] predictions:    5631/  10000 (56.31%), best:    5690/10000 (56.90%), error:     13319.74219, best error:     13297.04199 on epoch:     3, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 707.7511596680s, input_fired_time: 7.2222290039, output_fired_time: 5.7686495781, propagate_forward_time: 252.2345428467, propagate_backward_time: 432.8188171387, weight_update_time: 1.0096055269, other_time: 9.7068786621
epoch time: 52.8732681274s, input_fired_time: 0.8642108440, output_fired_time: 0.0000000000, propagate_forward_time: 50.4106636047, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5983924866
validation[          , genome  5973] predictions:    5608/  10000 (56.08%), best:    5690/10000 (56.90%), error:     13836.65234, best error:     13297.04199 on epoch:     3, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 706.9459838867s, input_fired_time: 7.2434844971, output_fired_time: 5.7640151978, propagate_forward_time: 252.2431945801, propagate_backward_time: 432.0489196777, weight_update_time: 1.0050084591, other_time: 9.6463623047
epoch time: 53.3733367920s, input_fired_time: 0.8713487387, output_fired_time: 0.0000000000, propagate_forward_time: 50.8713378906, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6306495667
validation[          , genome  5973] predictions:    5570/  10000 (55.70%), best:    5690/10000 (56.90%), error:     14037.16113, best error:     13297.04199 on epoch:     3, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 717.7294921875s, input_fired_time: 7.3322505951, output_fired_time: 5.8831634521, propagate_forward_time: 255.8037109375, propagate_backward_time: 438.8899841309, weight_update_time: 1.0171818733, other_time: 9.8203430176
epoch time: 52.7451286316s, input_fired_time: 0.8621653914, output_fired_time: 0.0000000000, propagate_forward_time: 50.2864494324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5965156555
validation[          , genome  5973] predictions:    5625/  10000 (56.25%), best:    5690/10000 (56.90%), error:     13761.74219, best error:     13297.04199 on epoch:     3, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

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_1542277804_168_5973.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973_3_r1839391656_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: 3
read number_validation_images: 10000
read best_validation_predictions: 5690
read best_validation_error: 13297
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: 5973
read normal distribution: '1 0 0'
generator_str: '1955699632'
read generator: 1955699632
read generated_by_map:
1 crossover 1
reading 81 nodes.
reading 342 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: 1516.091796875s, input_fired_time: 8.86325168609619, output_fired_time: 7.15231466293335, propagate_forward_time: 407.418701171875, propagate_backward_time: 1080.76708984375, weight_update_time: 1.26284444332123, other_time: 11.890380859375
epoch time: 95.9868545532227s, input_fired_time: 0.911529839038849, output_fired_time: 0, propagate_forward_time: 93.3698883056641, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.70543670654297
validation[          , genome  5973] predictions:    5834/  10000 (58.34%), best:    5834/10000 (58.34%), error:     13017.12402, best error:     13017.12402 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

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_1542277804_168_5973.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973_3_r1839391656_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: 0.814342
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00448107
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000179243
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: 20
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 5834
read best_validation_error: 13017.1
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: 5973
read normal distribution: '1 0 0'
generator_str: '867730547'
read generator: 867730547
read generated_by_map:
1 crossover 1
reading 81 nodes.
reading 342 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: 996.043395996094s, input_fired_time: 8.0556058883667, output_fired_time: 6.44723176956177, propagate_forward_time: 338.944763183594, propagate_backward_time: 631.782287597656, weight_update_time: 1.09786224365234, other_time: 10.8135375976563
epoch time: 52.7723770141602s, input_fired_time: 0.863739848136902, output_fired_time: 0, propagate_forward_time: 50.3121681213379, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.59646987915039
validation[          , genome  5973] predictions:    5872/  10000 (58.72%), best:    5872/10000 (58.72%), error:     12586.88770, best error:     12586.88770 on epoch:    20, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

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_1542277804_168_5973.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542277804_168_5973_3_r1839391656_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: 0.823125
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00425702
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000170281
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: 21
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 20
read number_validation_images: 10000
read best_validation_predictions: 5872
read best_validation_error: 12586.9
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: 5973
read normal distribution: '1 0 0'
generator_str: '166919474'
read generator: 166919474
read generated_by_map:
1 crossover 1
reading 81 nodes.
reading 342 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: 1434.8994140625s, input_fired_time: 8.81766796112061, output_fired_time: 7.64201784133911, propagate_forward_time: 568.814758300781, propagate_backward_time: 804.5634765625, weight_update_time: 1.20399749279022, other_time: 45.0615844726563
epoch time: 105.635063171387s, input_fired_time: 1.01625776290894, output_fired_time: 0, propagate_forward_time: 102.425498962402, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.19330596923828
validation[          , genome  5973] predictions:    5666/  10000 (56.66%), best:    5872/10000 (58.72%), error:     13619.49707, best error:     12586.88770 on epoch:    20, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1093.9040527344s, input_fired_time: 8.0691318512, output_fired_time: 6.6747546196, propagate_forward_time: 303.0445861816, propagate_backward_time: 696.4141235352, weight_update_time: 1.1073565483, other_time: 79.7014770508
epoch time: 62.1779556274s, input_fired_time: 0.9442189932, output_fired_time: 0.0000000000, propagate_forward_time: 59.2426223755, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9911155701
validation[          , genome  5973] predictions:    5326/  10000 (53.26%), best:    5872/10000 (58.72%), error:     14701.48047, best error:     12586.88770 on epoch:    20, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 758.1176757813s, input_fired_time: 7.7907323837, output_fired_time: 6.4329857826, propagate_forward_time: 262.8494567871, propagate_backward_time: 469.2547912598, weight_update_time: 1.0506768227, other_time: 11.7897338867
epoch time: 55.6186943054s, input_fired_time: 0.9104556441, output_fired_time: 0.0000000000, propagate_forward_time: 52.7661819458, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9420585632
validation[          , genome  5973] predictions:    5636/  10000 (56.36%), best:    5872/10000 (58.72%), error:     13499.20801, best error:     12586.88770 on epoch:    20, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 744.8400878906s, input_fired_time: 7.9572000504, output_fired_time: 6.4135131836, propagate_forward_time: 263.9515075684, propagate_backward_time: 455.0451049805, weight_update_time: 1.0421086550, other_time: 11.4727478027
epoch time: 54.2743301392s, input_fired_time: 0.9101740122, output_fired_time: 0.0000000000, propagate_forward_time: 51.4470520020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9171028137
validation[          , genome  5973] predictions:    5877/  10000 (58.77%), best:    5877/10000 (58.77%), error:     12516.23535, best error:     12516.23535 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 725.5549316406s, input_fired_time: 7.5354304314, output_fired_time: 6.2529602051, propagate_forward_time: 255.2086029053, propagate_backward_time: 445.3722839355, weight_update_time: 1.0149800777, other_time: 11.1856994629
epoch time: 53.3993873596s, input_fired_time: 0.8948892951, output_fired_time: 0.0000000000, propagate_forward_time: 50.6315689087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8729286194
validation[          , genome  5973] predictions:    5268/  10000 (52.68%), best:    5877/10000 (58.77%), error:     14894.57617, best error:     12516.23535 on epoch:    24, 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: 268.1812438965s, input_fired_time: 4.4963822365, output_fired_time: 0.0000000000, propagate_forward_time: 254.4171142578, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.2677612305
best training[          , genome  5973] predictions:   33056/  50000 (66.11%), best:    5877/10000 (58.77%), error:     48847.65625, best error:     12516.23535 on epoch:    24, 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: 54.7182006836s, input_fired_time: 0.8973957896, output_fired_time: 0.0000000000, propagate_forward_time: 51.9569320679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8638725281
   testing[          , genome  5973] predictions:    5877/  10000 (58.77%), best:    5877/10000 (58.77%), error:     12516.23535, best error:     12516.23535 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
12:23:48 (4872): called boinc_finish(0)

</stderr_txt>
]]>