Nameexact_genome_1542531604_168_6254_0
Workunit4097488
Created18 Nov 2018, 14:01:48 UTC
Sent18 Nov 2018, 14:45:44 UTC
Report deadline14 Dec 2018, 12:24:34 UTC
Received19 Nov 2018, 11:49:57 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID60920
Run time11 hours 24 min 44 sec
CPU time11 hours 21 min 2 sec
Validate stateValid
Credit6,475.49
Device peak FLOPS3.88 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size523.63 MB
Peak swap size522.25 MB
Peak disk usage11.43 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'
	'--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_1542531604_168_6254.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_168_6254_0_r1822931502_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542531604_168_6254.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: 6254
read normal distribution: '1 1.86042821407318 0.46552586555481'
generator_str: '83801867'
read generator: 83801867
read generated_by_map:
1 change_size 1
reading 92 nodes.
reading 396 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: 1856189884
post shuffle 1: 1511636602
epoch time: 1441.40490722656s, input_fired_time: 11.7736005783081, output_fired_time: 11.0674152374268, propagate_forward_time: 544.632385253906, propagate_backward_time: 860.192626953125, weight_update_time: 1.34625101089478, other_time: 13.7389526367188
epoch time: 112.402755737305s, input_fired_time: 1.48822343349457, output_fired_time: 0, propagate_forward_time: 108.551094055176, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.36344146728516
validation[          , genome  6254] predictions:    5076/  10000 (50.76%), best:    5076/10000 (50.76%), error:     17082.41211, best error:     17082.41211 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1438.5571289063s, input_fired_time: 11.8069248199, output_fired_time: 10.9389047623, propagate_forward_time: 544.0511474609, propagate_backward_time: 858.0314331055, weight_update_time: 1.3471299410, other_time: 13.7286987305
epoch time: 113.0605163574s, input_fired_time: 1.4631476402, output_fired_time: 0.0000000000, propagate_forward_time: 109.2069091797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3904571533
validation[          , genome  6254] predictions:    4888/  10000 (48.88%), best:    5076/10000 (50.76%), error:     17263.35742, best error:     17082.41211 on epoch:     0, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1435.9797363281s, input_fired_time: 11.7020721436, output_fired_time: 10.9637918472, propagate_forward_time: 543.3528442383, propagate_backward_time: 856.1825561523, weight_update_time: 1.3446331024, other_time: 13.7785644531
epoch time: 112.8489379883s, input_fired_time: 1.4731963873, output_fired_time: 0.0000000000, propagate_forward_time: 108.9737777710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4019622803
validation[          , genome  6254] predictions:    5253/  10000 (52.53%), best:    5253/10000 (52.53%), error:     14718.24023, best error:     14718.24023 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1439.6968994141s, input_fired_time: 11.7158212662, output_fired_time: 11.0308580399, propagate_forward_time: 545.4739379883, propagate_backward_time: 857.7587280273, weight_update_time: 1.3448956013, other_time: 13.7175292969
epoch time: 112.4875717163s, input_fired_time: 1.4716773033, output_fired_time: 0.0000000000, propagate_forward_time: 108.6630020142, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3528900146
validation[          , genome  6254] predictions:    5640/  10000 (56.40%), best:    5640/10000 (56.40%), error:     13541.66113, best error:     13541.66113 on epoch:     3, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1443.0753173828s, input_fired_time: 11.7386236191, output_fired_time: 10.9846944809, propagate_forward_time: 546.4176635742, propagate_backward_time: 860.2149047852, weight_update_time: 1.3425378799, other_time: 13.7193603516
epoch time: 112.9794998169s, input_fired_time: 1.4768236876, output_fired_time: 0.0000000000, propagate_forward_time: 109.1366500854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3660278320
validation[          , genome  6254] predictions:    5204/  10000 (52.04%), best:    5640/10000 (56.40%), error:     15671.47363, best error:     13541.66113 on epoch:     3, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1441.0252685547s, input_fired_time: 11.7402038574, output_fired_time: 11.0122041702, propagate_forward_time: 545.5307617188, propagate_backward_time: 859.0173339844, weight_update_time: 1.3441728354, other_time: 13.7247314453
epoch time: 112.7544631958s, input_fired_time: 1.4720374346, output_fired_time: 0.0000000000, propagate_forward_time: 108.8854522705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3969726563
validation[          , genome  6254] predictions:    5442/  10000 (54.42%), best:    5640/10000 (56.40%), error:     14698.93164, best error:     13541.66113 on epoch:     3, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1438.9735107422s, input_fired_time: 11.7131481171, output_fired_time: 10.9769105911, propagate_forward_time: 545.1064453125, propagate_backward_time: 857.3574218750, weight_update_time: 1.3475408554, other_time: 13.8195800781
epoch time: 112.8510665894s, input_fired_time: 1.4790492058, output_fired_time: 0.0000000000, propagate_forward_time: 108.9873809814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3846359253
validation[          , genome  6254] predictions:    5264/  10000 (52.64%), best:    5640/10000 (56.40%), error:     15244.58887, best error:     13541.66113 on epoch:     3, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1439.0930175781s, input_fired_time: 11.7645597458, output_fired_time: 11.0190114975, propagate_forward_time: 545.1440429688, propagate_backward_time: 857.4085083008, weight_update_time: 1.3493320942, other_time: 13.7568969727
epoch time: 113.8309020996s, input_fired_time: 1.4848922491, output_fired_time: 0.0000000000, propagate_forward_time: 109.9580688477, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3879394531
validation[          , genome  6254] predictions:    5613/  10000 (56.13%), best:    5640/10000 (56.40%), error:     13897.14160, best error:     13541.66113 on epoch:     3, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1442.2539062500s, input_fired_time: 11.7609701157, output_fired_time: 11.0395278931, propagate_forward_time: 546.7677001953, propagate_backward_time: 858.9468994141, weight_update_time: 1.3484563828, other_time: 13.7387695313
epoch time: 113.5316848755s, input_fired_time: 1.4941601753, output_fired_time: 0.0000000000, propagate_forward_time: 109.6799316406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3575897217
validation[          , genome  6254] predictions:    5563/  10000 (55.63%), best:    5640/10000 (56.40%), error:     13905.98730, best error:     13541.66113 on epoch:     3, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1444.6942138672s, input_fired_time: 11.7433671951, output_fired_time: 11.0347280502, propagate_forward_time: 547.5209350586, propagate_backward_time: 860.7373657227, weight_update_time: 1.3494035006, other_time: 13.6578369141
epoch time: 113.2428970337s, input_fired_time: 1.4908977747, output_fired_time: 0.0000000000, propagate_forward_time: 109.3888473511, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3631515503
validation[          , genome  6254] predictions:    5303/  10000 (53.03%), best:    5640/10000 (56.40%), error:     15522.69238, best error:     13541.66113 on epoch:     3, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1440.9564208984s, input_fired_time: 11.7525625229, output_fired_time: 11.0100355148, propagate_forward_time: 546.6556396484, propagate_backward_time: 857.8219604492, weight_update_time: 1.3546987772, other_time: 13.7162475586
epoch time: 113.0328750610s, input_fired_time: 1.4723588228, output_fired_time: 0.0000000000, propagate_forward_time: 109.1933364868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3671798706
validation[          , genome  6254] predictions:    5717/  10000 (57.17%), best:    5717/10000 (57.17%), error:     13098.97559, best error:     13098.97559 on epoch:    10, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1440.8015136719s, input_fired_time: 11.7217950821, output_fired_time: 11.0432472229, propagate_forward_time: 545.8043212891, propagate_backward_time: 858.5017700195, weight_update_time: 1.3456845284, other_time: 13.7304077148
epoch time: 112.7932510376s, input_fired_time: 1.4537801743, output_fired_time: 0.0000000000, propagate_forward_time: 108.9574813843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3819885254
validation[          , genome  6254] predictions:    5450/  10000 (54.50%), best:    5717/10000 (57.17%), error:     13995.63574, best error:     13098.97559 on epoch:    10, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1440.0915527344s, input_fired_time: 11.7545013428, output_fired_time: 11.0391521454, propagate_forward_time: 546.2946777344, propagate_backward_time: 857.2669677734, weight_update_time: 1.3489720821, other_time: 13.7362060547
epoch time: 113.1466979980s, input_fired_time: 1.4717351198, output_fired_time: 0.0000000000, propagate_forward_time: 109.2961883545, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3787765503
validation[          , genome  6254] predictions:    5660/  10000 (56.60%), best:    5717/10000 (57.17%), error:     13684.36816, best error:     13098.97559 on epoch:    10, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1439.0040283203s, input_fired_time: 11.7527313232, output_fired_time: 11.0196495056, propagate_forward_time: 545.3633422852, propagate_backward_time: 857.1097412109, weight_update_time: 1.3470215797, other_time: 13.7586059570
epoch time: 113.1028594971s, input_fired_time: 1.4524250031, output_fired_time: 0.0000000000, propagate_forward_time: 109.2475509644, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4028854370
validation[          , genome  6254] predictions:    5418/  10000 (54.18%), best:    5717/10000 (57.17%), error:     14085.29102, best error:     13098.97559 on epoch:    10, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1435.1694335938s, input_fired_time: 11.7393856049, output_fired_time: 10.9919281006, propagate_forward_time: 544.8709716797, propagate_backward_time: 853.7168579102, weight_update_time: 1.3522291183, other_time: 13.8502807617
epoch time: 112.2853698730s, input_fired_time: 1.4617351294, output_fired_time: 0.0000000000, propagate_forward_time: 108.4245910645, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3990402222
validation[          , genome  6254] predictions:    5200/  10000 (52.00%), best:    5717/10000 (57.17%), error:     15905.50000, best error:     13098.97559 on epoch:    10, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1434.1636962891s, input_fired_time: 11.7633028030, output_fired_time: 11.0108966827, propagate_forward_time: 543.7716674805, propagate_backward_time: 853.7482299805, weight_update_time: 1.3496311903, other_time: 13.8696289063
epoch time: 112.8183670044s, input_fired_time: 1.4696533680, output_fired_time: 0.0000000000, propagate_forward_time: 108.9526443481, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3960723877
validation[          , genome  6254] predictions:    5381/  10000 (53.81%), best:    5717/10000 (57.17%), error:     14858.82813, best error:     13098.97559 on epoch:    10, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1435.1301269531s, input_fired_time: 11.7752981186, output_fired_time: 11.0211391449, propagate_forward_time: 544.3831176758, propagate_backward_time: 854.0789184570, weight_update_time: 1.3526116610, other_time: 13.8717041016
epoch time: 112.4779815674s, input_fired_time: 1.5013216734, output_fired_time: 0.0000000000, propagate_forward_time: 108.5806350708, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3960266113
validation[          , genome  6254] predictions:    5672/  10000 (56.72%), best:    5717/10000 (57.17%), error:     13608.61230, best error:     13098.97559 on epoch:    10, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1434.8022460938s, input_fired_time: 11.7959651947, output_fired_time: 11.0168237686, propagate_forward_time: 544.6458740234, propagate_backward_time: 853.4929809570, weight_update_time: 1.3736262321, other_time: 13.8505249023
epoch time: 112.8737792969s, input_fired_time: 1.4802289009, output_fired_time: 0.0000000000, propagate_forward_time: 109.0201187134, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3734283447
validation[          , genome  6254] predictions:    5525/  10000 (55.25%), best:    5717/10000 (57.17%), error:     13966.03613, best error:     13098.97559 on epoch:    10, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1442.5406494141s, input_fired_time: 11.7623157501, output_fired_time: 11.0400991440, propagate_forward_time: 546.7203979492, propagate_backward_time: 859.2515258789, weight_update_time: 1.3553284407, other_time: 13.7663574219
epoch time: 112.9574203491s, input_fired_time: 1.4815996885, output_fired_time: 0.0000000000, propagate_forward_time: 109.1057662964, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3700561523
validation[          , genome  6254] predictions:    5534/  10000 (55.34%), best:    5717/10000 (57.17%), error:     13362.53027, best error:     13098.97559 on epoch:    10, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1441.0264892578s, input_fired_time: 11.7875690460, output_fired_time: 11.0223751068, propagate_forward_time: 545.9771728516, propagate_backward_time: 858.5223388672, weight_update_time: 1.3534305096, other_time: 13.7170410156
epoch time: 113.1691665649s, input_fired_time: 1.4814488888, output_fired_time: 0.0000000000, propagate_forward_time: 109.3174209595, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3703002930
validation[          , genome  6254] predictions:    5591/  10000 (55.91%), best:    5717/10000 (57.17%), error:     13445.49512, best error:     13098.97559 on epoch:    10, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1441.8985595703s, input_fired_time: 11.8014173508, output_fired_time: 11.0081844330, propagate_forward_time: 547.7282104492, propagate_backward_time: 857.6888427734, weight_update_time: 1.3531725407, other_time: 13.6719360352
epoch time: 113.4058227539s, input_fired_time: 1.5085088015, output_fired_time: 0.0000000000, propagate_forward_time: 109.5246200562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3726959229
validation[          , genome  6254] predictions:    5581/  10000 (55.81%), best:    5717/10000 (57.17%), error:     14006.12891, best error:     13098.97559 on epoch:    10, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1440.4241943359s, input_fired_time: 11.8368511200, output_fired_time: 11.0867462158, propagate_forward_time: 546.6336669922, propagate_backward_time: 857.1317138672, weight_update_time: 1.3513273001, other_time: 13.7352294922
epoch time: 112.9261322021s, input_fired_time: 1.4968624115, output_fired_time: 0.0000000000, propagate_forward_time: 109.0649490356, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3643188477
validation[          , genome  6254] predictions:    5412/  10000 (54.12%), best:    5717/10000 (57.17%), error:     14436.20215, best error:     13098.97559 on epoch:    10, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1438.5649414063s, input_fired_time: 11.8335895538, output_fired_time: 11.0047235489, propagate_forward_time: 546.0241088867, propagate_backward_time: 856.0152587891, weight_update_time: 1.3501914740, other_time: 13.6871948242
epoch time: 113.1586151123s, input_fired_time: 1.5026230812, output_fired_time: 0.0000000000, propagate_forward_time: 109.2750091553, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3809814453
validation[          , genome  6254] predictions:    5755/  10000 (57.55%), best:    5755/10000 (57.55%), error:     12924.36230, best error:     12924.36230 on epoch:    22, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1438.5169677734s, input_fired_time: 11.8135910034, output_fired_time: 11.0065078735, propagate_forward_time: 544.7377929688, propagate_backward_time: 857.1990966797, weight_update_time: 1.3566805124, other_time: 13.7600097656
epoch time: 112.7064819336s, input_fired_time: 1.4713221788, output_fired_time: 0.0000000000, propagate_forward_time: 108.8591918945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3759689331
validation[          , genome  6254] predictions:    5405/  10000 (54.05%), best:    5755/10000 (57.55%), error:     14350.80762, best error:     12924.36230 on epoch:    22, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

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_1542531604_168_6254.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542531604_168_6254_0_r1822931502_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: 0.846925
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00364986
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000145994
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: 24
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 22
read number_validation_images: 10000
read best_validation_predictions: 5755
read best_validation_error: 12924.4
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: 6254
read normal distribution: '1 1.86042821407318 0.46552586555481'
generator_str: '357982132'
read generator: 357982132
read generated_by_map:
1 change_size 1
reading 92 nodes.
reading 396 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: 1443.86743164063s, input_fired_time: 11.8024377822876, output_fired_time: 11.110523223877, propagate_forward_time: 550.402099609375, propagate_backward_time: 856.800598144531, weight_update_time: 1.35351407527924, other_time: 13.7517700195313
epoch time: 113.742454528809s, input_fired_time: 1.50842761993408, output_fired_time: 0, propagate_forward_time: 109.845176696777, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.38884735107422
validation[          , genome  6254] predictions:    5722/  10000 (57.22%), best:    5755/10000 (57.55%), error:     13129.76953, best error:     12924.36230 on epoch:    22, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1442.4537353516s, input_fired_time: 11.8752069473, output_fired_time: 11.0994930267, propagate_forward_time: 549.4500122070, propagate_backward_time: 856.2586059570, weight_update_time: 1.3538926840, other_time: 13.7703857422
epoch time: 113.9639434814s, input_fired_time: 1.5172039270, output_fired_time: 0.0000000000, propagate_forward_time: 110.0672302246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3795089722
validation[          , genome  6254] predictions:    5935/  10000 (59.35%), best:    5935/10000 (59.35%), error:     12605.57227, best error:     12605.57227 on epoch:    25, 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: 568.6663818359s, input_fired_time: 7.5711703300, output_fired_time: 0.0000000000, propagate_forward_time: 549.1585083008, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9367065430
best training[          , genome  6254] predictions:   33367/  50000 (66.73%), best:    5935/10000 (59.35%), error:     49248.95313, best error:     12605.57227 on epoch:    25, 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: 113.5940856934s, input_fired_time: 1.5183588266, output_fired_time: 0.0000000000, propagate_forward_time: 109.7078247070, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3679046631
   testing[          , genome  6254] predictions:    5935/  10000 (59.35%), best:    5935/10000 (59.35%), error:     12605.57227, best error:     12605.57227 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
04:44:18 (14412): called boinc_finish(0)

</stderr_txt>
]]>