Nameexact_genome_1540746903_183_5327_0
Workunit4075235
Created28 Oct 2018, 19:40:12 UTC
Sent28 Oct 2018, 20:13:03 UTC
Report deadline5 Jan 2019, 7:26:40 UTC
Received9 Dec 2018, 21:34:35 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time1 days 9 hours 22 min 8 sec
CPU time1 days 8 hours 43 min 20 sec
Validate stateValid
Credit17,116.95
Device peak FLOPS3.80 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size515.73 MB
Peak swap size535.46 MB
Peak disk usage9.03 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
indows_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_1540746903_183_5327.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5327_0_r1273543911_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: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5712
read best_validation_error: 12860.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5327
read normal distribution: '1 -2.14792656898499 -0.184111177921295'
generator_str: '1851342902'
read generator: 1851342902
read generated_by_map:
1 crossover 1
reading 62 nodes.
reading 256 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!
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_1540746903_183_5327.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5327_0_r1273543911_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: 0.908619
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00207604
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 8.30417e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 35
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5712
read best_validation_error: 12860.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5327
read normal distribution: '1 -2.14792656898499 -0.184111177921295'
generator_str: '1851342902'
read generator: 1851342902
read generated_by_map:
1 crossover 1
reading 62 nodes.
reading 256 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: 1251.46032714844s, input_fired_time: 12.0883045196533, output_fired_time: 10.1282358169556, propagate_forward_time: 469.435333251953, propagate_backward_time: 731.612365722656, weight_update_time: 1.48314046859741, other_time: 28.1961059570313
epoch time: 101.739135742188s, input_fired_time: 1.82935583591461, output_fired_time: 0, propagate_forward_time: 94.2960433959961, propagate_backward_time: 0, weight_update_time: 0, other_time: 5.61373901367188
validation[          , genome  5327] predictions:    5503/  10000 (55.03%), best:    5712/10000 (57.12%), error:     13816.48145, best error:     12860.65723 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1266.6494140625s, input_fired_time: 12.8369493484, output_fired_time: 10.7895507813, propagate_forward_time: 472.8903198242, propagate_backward_time: 739.4904174805, weight_update_time: 1.5583795309, other_time: 30.6422119141
epoch time: 104.7538604736s, input_fired_time: 2.0412290096, output_fired_time: 0.0000000000, propagate_forward_time: 96.2271270752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.4855041504
validation[          , genome  5327] predictions:    5408/  10000 (54.08%), best:    5712/10000 (57.12%), error:     14244.76270, best error:     12860.65723 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 1253.4527587891s, input_fired_time: 10.8555250168, output_fired_time: 9.2367763519, propagate_forward_time: 472.4692077637, propagate_backward_time: 735.2432861328, weight_update_time: 1.2687423229, other_time: 25.6479492188
epoch time: 98.8900222778s, input_fired_time: 1.4220213890, output_fired_time: 0.0000000000, propagate_forward_time: 92.8897781372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5782241821
validation[          , genome  5327] predictions:    5728/  10000 (57.28%), best:    5712/10000 (57.12%), error:     12995.50781, best error:     12860.65723 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 1212.3967285156s, input_fired_time: 8.8647251129, output_fired_time: 7.7168550491, propagate_forward_time: 460.7092285156, propagate_backward_time: 716.1101684570, weight_update_time: 0.9497230053, other_time: 18.9957885742
epoch time: 98.7341461182s, input_fired_time: 1.1855067015, output_fired_time: 0.0000000000, propagate_forward_time: 93.9236145020, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6250228882
validation[          , genome  5327] predictions:    5590/  10000 (55.90%), best:    5712/10000 (57.12%), error:     13546.94727, best error:     12860.65723 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1223.7608642578s, input_fired_time: 8.7047920227, output_fired_time: 7.6873044968, propagate_forward_time: 465.9036254883, propagate_backward_time: 722.6190795898, weight_update_time: 0.9513294101, other_time: 18.8460693359
epoch time: 91.7649078369s, input_fired_time: 1.0246356726, output_fired_time: 0.0000000000, propagate_forward_time: 87.7573089600, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9829635620
validation[          , genome  5327] predictions:    5831/  10000 (58.31%), best:    5831/10000 (58.31%), error:     12573.78906, best error:     12573.78906 on epoch:    39, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 1166.5266113281s, input_fired_time: 8.0265655518, output_fired_time: 7.1643228531, propagate_forward_time: 444.0001831055, propagate_backward_time: 691.0357666016, weight_update_time: 0.8280844092, other_time: 16.2997436523
epoch time: 93.7307968140s, input_fired_time: 1.0584391356, output_fired_time: 0.0000000000, propagate_forward_time: 89.5716705322, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1006851196
validation[          , genome  5327] predictions:    5720/  10000 (57.20%), best:    5831/10000 (58.31%), error:     13032.71094, best error:     12573.78906 on epoch:    39, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1166.5334472656s, input_fired_time: 8.0735225677, output_fired_time: 7.1737246513, propagate_forward_time: 444.0248718262, propagate_backward_time: 690.6875000000, weight_update_time: 0.8341007233, other_time: 16.5738525391
epoch time: 91.5020294189s, input_fired_time: 1.0229496956, output_fired_time: 0.0000000000, propagate_forward_time: 87.5033111572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9757690430
validation[          , genome  5327] predictions:    5822/  10000 (58.22%), best:    5831/10000 (58.31%), error:     12961.03223, best error:     12573.78906 on epoch:    39, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1170.4692382813s, input_fired_time: 8.0897893906, output_fired_time: 7.2127857208, propagate_forward_time: 444.1936645508, propagate_backward_time: 694.5908203125, weight_update_time: 0.8330988288, other_time: 16.3821411133
epoch time: 94.5370788574s, input_fired_time: 1.0574067831, output_fired_time: 0.0000000000, propagate_forward_time: 90.5034103394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9762649536
validation[          , genome  5327] predictions:    5602/  10000 (56.02%), best:    5831/10000 (58.31%), error:     13584.53125, best error:     12573.78906 on epoch:    39, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1180.2346191406s, input_fired_time: 8.1208715439, output_fired_time: 7.2105426788, propagate_forward_time: 449.4893798828, propagate_backward_time: 699.0827636719, weight_update_time: 0.8314557076, other_time: 16.3310546875
epoch time: 91.8338088989s, input_fired_time: 0.9999424219, output_fired_time: 0.0000000000, propagate_forward_time: 88.0051803589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8286895752
validation[          , genome  5327] predictions:    5754/  10000 (57.54%), best:    5831/10000 (58.31%), error:     12826.75098, best error:     12573.78906 on epoch:    39, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1171.4575195313s, input_fired_time: 7.7186632156, output_fired_time: 6.9465255737, propagate_forward_time: 446.6734924316, propagate_backward_time: 696.0845947266, weight_update_time: 0.7508248687, other_time: 14.0343017578
epoch time: 93.9335250854s, input_fired_time: 0.9841992259, output_fired_time: 0.0000000000, propagate_forward_time: 90.5651168823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3842086792
validation[          , genome  5327] predictions:    5788/  10000 (57.88%), best:    5831/10000 (58.31%), error:     12631.95410, best error:     12573.78906 on epoch:    39, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 1193.8953857422s, input_fired_time: 7.8763809204, output_fired_time: 7.1679592133, propagate_forward_time: 456.2767944336, propagate_backward_time: 708.0401611328, weight_update_time: 0.7707116604, other_time: 14.5341186523
epoch time: 91.8166046143s, input_fired_time: 0.9854690433, output_fired_time: 0.0000000000, propagate_forward_time: 88.2514038086, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5797348022
validation[          , genome  5327] predictions:    5852/  10000 (58.52%), best:    5852/10000 (58.52%), error:     12504.86133, best error:     12504.86133 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 1146.6551513672s, input_fired_time: 7.6928462982, output_fired_time: 6.8757042885, propagate_forward_time: 434.6369628906, propagate_backward_time: 682.8878784180, weight_update_time: 0.7596645951, other_time: 14.5617065430
epoch time: 92.0155029297s, input_fired_time: 0.9909356833, output_fired_time: 0.0000000000, propagate_forward_time: 88.4123611450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6122055054
validation[          , genome  5327] predictions:    5776/  10000 (57.76%), best:    5852/10000 (58.52%), error:     12710.19141, best error:     12504.86133 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 1181.4831542969s, input_fired_time: 7.7782182693, output_fired_time: 6.9575557709, propagate_forward_time: 451.8857116699, propagate_backward_time: 701.1922607422, weight_update_time: 0.7405388951, other_time: 13.6694335938
epoch time: 93.0690994263s, input_fired_time: 0.9727160335, output_fired_time: 0.0000000000, propagate_forward_time: 89.8065490723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2898330688
validation[          , genome  5327] predictions:    5734/  10000 (57.34%), best:    5852/10000 (58.52%), error:     13116.44141, best error:     12504.86133 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 1186.6287841797s, input_fired_time: 7.6673169136, output_fired_time: 6.9224143028, propagate_forward_time: 456.0938720703, propagate_backward_time: 703.4158325195, weight_update_time: 0.7167921662, other_time: 12.5293579102
epoch time: 93.0535202026s, input_fired_time: 0.9683499932, output_fired_time: 0.0000000000, propagate_forward_time: 89.7765197754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3086471558
validation[          , genome  5327] predictions:    5842/  10000 (58.42%), best:    5852/10000 (58.52%), error:     12787.29492, best error:     12504.86133 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 1162.2174072266s, input_fired_time: 7.5214433670, output_fired_time: 6.7579302788, propagate_forward_time: 445.8152160645, propagate_backward_time: 690.0786132813, weight_update_time: 0.7014082074, other_time: 12.0441894531
epoch time: 90.4351959229s, input_fired_time: 0.9479030371, output_fired_time: 0.0000000000, propagate_forward_time: 87.3177108765, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1695785522
validation[          , genome  5327] predictions:    5713/  10000 (57.13%), best:    5852/10000 (58.52%), error:     13007.88281, best error:     12504.86133 on epoch:    45, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 1150.1754150391s, input_fired_time: 7.4245638847, output_fired_time: 6.6211791039, propagate_forward_time: 441.1428527832, propagate_backward_time: 683.5419921875, weight_update_time: 0.6818964481, other_time: 11.4448242188
epoch time: 92.5704193115s, input_fired_time: 0.9599811435, output_fired_time: 0.0000000000, propagate_forward_time: 89.5122604370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0981750488
validation[          , genome  5327] predictions:    5910/  10000 (59.10%), best:    5852/10000 (58.52%), error:     12510.29492, best error:     12504.86133 on epoch:    45, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 1163.4494628906s, input_fired_time: 7.4859819412, output_fired_time: 6.6770901680, propagate_forward_time: 446.4764404297, propagate_backward_time: 691.2283935547, weight_update_time: 0.6890030503, other_time: 11.5815429688
epoch time: 91.6248779297s, input_fired_time: 0.9579051733, output_fired_time: 0.0000000000, propagate_forward_time: 88.5811309814, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0858383179
validation[          , genome  5327] predictions:    5754/  10000 (57.54%), best:    5852/10000 (58.52%), error:     12745.17871, best error:     12504.86133 on epoch:    45, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 1144.9975585938s, input_fired_time: 7.4007034302, output_fired_time: 6.5769596100, propagate_forward_time: 437.9238281250, propagate_backward_time: 681.7448120117, weight_update_time: 0.6762487292, other_time: 11.3512573242
epoch time: 87.9681930542s, input_fired_time: 0.9291149378, output_fired_time: 0.0000000000, propagate_forward_time: 85.0139236450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0251541138
validation[          , genome  5327] predictions:    5757/  10000 (57.57%), best:    5852/10000 (58.52%), error:     13013.40234, best error:     12504.86133 on epoch:    45, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 1111.2353515625s, input_fired_time: 7.2576918602, output_fired_time: 6.3216786385, propagate_forward_time: 424.6662902832, propagate_backward_time: 662.0109863281, weight_update_time: 0.6600773335, other_time: 10.9787597656
epoch time: 87.7043838501s, input_fired_time: 0.9292178750, output_fired_time: 0.0000000000, propagate_forward_time: 84.7794265747, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9957427979
validation[          , genome  5327] predictions:    5825/  10000 (58.25%), best:    5852/10000 (58.52%), error:     12672.25879, best error:     12504.86133 on epoch:    45, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 1073.4791259766s, input_fired_time: 7.1049304008, output_fired_time: 6.2292127609, propagate_forward_time: 406.8544921875, propagate_backward_time: 642.6793212891, weight_update_time: 0.6356787086, other_time: 10.6110839844
epoch time: 83.5503463745s, input_fired_time: 0.9053472877, output_fired_time: 0.0000000000, propagate_forward_time: 80.7098693848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9351272583
validation[          , genome  5327] predictions:    5966/  10000 (59.66%), best:    5966/10000 (59.66%), error:     12492.86816, best error:     12492.86816 on epoch:    54, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 1039.7205810547s, input_fired_time: 6.9909420013, output_fired_time: 5.9697494507, propagate_forward_time: 396.5411376953, propagate_backward_time: 619.8870849609, weight_update_time: 0.6178275347, other_time: 10.3316650391
epoch time: 78.8225479126s, input_fired_time: 0.8645581007, output_fired_time: 0.0000000000, propagate_forward_time: 76.0958709717, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8621215820
validation[          , genome  5327] predictions:    5913/  10000 (59.13%), best:    5913/10000 (59.13%), error:     12308.94531, best error:     12308.94531 on epoch:    55, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 1009.7832641602s, input_fired_time: 6.8823781013, output_fired_time: 5.8991289139, propagate_forward_time: 382.3803405762, propagate_backward_time: 604.4608764648, weight_update_time: 0.6056343317, other_time: 10.1605834961
epoch time: 81.0670471191s, input_fired_time: 0.8828748465, output_fired_time: 0.0000000000, propagate_forward_time: 78.3223190308, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8618545532
validation[          , genome  5327] predictions:    5961/  10000 (59.61%), best:    5961/10000 (59.61%), error:     12089.37988, best error:     12089.37988 on epoch:    56, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 1012.3788452148s, input_fired_time: 6.8945021629, output_fired_time: 5.8238005638, propagate_forward_time: 383.7335510254, propagate_backward_time: 605.8056030273, weight_update_time: 0.6051023602, other_time: 10.1213989258
epoch time: 77.4277267456s, input_fired_time: 0.8581489921, output_fired_time: 0.0000000000, propagate_forward_time: 74.7078323364, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8617477417
validation[          , genome  5327] predictions:    5871/  10000 (58.71%), best:    5961/10000 (59.61%), error:     12525.70996, best error:     12089.37988 on epoch:    56, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 991.9461059570s, input_fired_time: 6.8103218079, output_fired_time: 5.7419619560, propagate_forward_time: 374.9093017578, propagate_backward_time: 594.4359741211, weight_update_time: 0.6040867567, other_time: 10.0485839844
epoch time: 77.8408508301s, input_fired_time: 0.8645624518, output_fired_time: 0.0000000000, propagate_forward_time: 75.1012420654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8750457764
validation[          , genome  5327] predictions:    5955/  10000 (59.55%), best:    5961/10000 (59.61%), error:     12280.77051, best error:     12089.37988 on epoch:    56, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 1009.0031738281s, input_fired_time: 6.8699760437, output_fired_time: 5.8367304802, propagate_forward_time: 379.8746032715, propagate_backward_time: 606.3138427734, weight_update_time: 0.6034621000, other_time: 10.1080322266
epoch time: 81.8410720825s, input_fired_time: 0.8893618584, output_fired_time: 0.0000000000, propagate_forward_time: 79.0699386597, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8817749023
validation[          , genome  5327] predictions:    5862/  10000 (58.62%), best:    5961/10000 (59.61%), error:     12379.55371, best error:     12089.37988 on epoch:    56, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 1002.8367309570s, input_fired_time: 6.8789787292, output_fired_time: 5.8462400436, propagate_forward_time: 379.4271240234, propagate_backward_time: 600.5530395508, weight_update_time: 0.6035501957, other_time: 10.1313476563
epoch time: 77.0183334351s, input_fired_time: 0.8597606421, output_fired_time: 0.0000000000, propagate_forward_time: 74.3191299438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8394393921
validation[          , genome  5327] predictions:    5854/  10000 (58.54%), best:    5961/10000 (59.61%), error:     12743.33887, best error:     12089.37988 on epoch:    56, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 967.0316772461s, input_fired_time: 6.7855882645, output_fired_time: 5.6731157303, propagate_forward_time: 366.4952087402, propagate_backward_time: 578.2106933594, weight_update_time: 0.5817145109, other_time: 9.8670654297
epoch time: 76.0132064819s, input_fired_time: 0.8558290601, output_fired_time: 0.0000000000, propagate_forward_time: 73.3111724854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8462066650
validation[          , genome  5327] predictions:    5944/  10000 (59.44%), best:    5961/10000 (59.61%), error:     12259.31152, best error:     12089.37988 on epoch:    56, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 966.9692993164s, input_fired_time: 6.7944898605, output_fired_time: 5.6280193329, propagate_forward_time: 367.7641601563, propagate_backward_time: 576.8442382813, weight_update_time: 0.5865429044, other_time: 9.9384155273
epoch time: 75.2077255249s, input_fired_time: 0.8466714621, output_fired_time: 0.0000000000, propagate_forward_time: 72.5381774902, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8228759766
validation[          , genome  5327] predictions:    5974/  10000 (59.74%), best:    5961/10000 (59.61%), error:     12190.12012, best error:     12089.37988 on epoch:    56, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 958.5750732422s, input_fired_time: 6.7425346375, output_fired_time: 5.6066145897, propagate_forward_time: 362.3522338867, propagate_backward_time: 574.0574340820, weight_update_time: 0.5793805122, other_time: 9.8162231445
epoch time: 73.6636505127s, input_fired_time: 0.8416839242, output_fired_time: 0.0000000000, propagate_forward_time: 71.0224151611, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7995529175
validation[          , genome  5327] predictions:    5976/  10000 (59.76%), best:    5961/10000 (59.61%), error:     12150.30859, best error:     12089.37988 on epoch:    56, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 968.1427001953s, input_fired_time: 6.7851381302, output_fired_time: 5.6190233231, propagate_forward_time: 365.0046081543, propagate_backward_time: 580.7644042969, weight_update_time: 0.5892023444, other_time: 9.9694824219
epoch time: 80.3121109009s, input_fired_time: 0.8905552030, output_fired_time: 0.0000000000, propagate_forward_time: 77.5175399780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9040145874
validation[          , genome  5327] predictions:    5992/  10000 (59.92%), best:    5992/10000 (59.92%), error:     12072.72559, best error:     12072.72559 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 984.6396484375s, input_fired_time: 6.8238987923, output_fired_time: 5.6831879616, propagate_forward_time: 372.2819213867, propagate_backward_time: 589.8079223633, weight_update_time: 0.5990308523, other_time: 10.0427246094
epoch time: 79.5136642456s, input_fired_time: 0.8816674948, output_fired_time: 0.0000000000, propagate_forward_time: 76.7682647705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8637313843
validation[          , genome  5327] predictions:    5908/  10000 (59.08%), best:    5992/10000 (59.92%), error:     12202.08301, best error:     12072.72559 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 1008.1727294922s, input_fired_time: 6.9275503159, output_fired_time: 5.8304162025, propagate_forward_time: 380.8880004883, propagate_backward_time: 604.3848266602, weight_update_time: 0.6058668494, other_time: 10.1419067383
epoch time: 82.9814910889s, input_fired_time: 0.9063686132, output_fired_time: 0.0000000000, propagate_forward_time: 80.2036361694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8714828491
validation[          , genome  5327] predictions:    6017/  10000 (60.17%), best:    6017/10000 (60.17%), error:     11986.54004, best error:     11986.54004 on epoch:    66, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 1039.7941894531s, input_fired_time: 7.0604600906, output_fired_time: 6.0339708328, propagate_forward_time: 393.8707885742, propagate_backward_time: 622.4965820313, weight_update_time: 0.6176452041, other_time: 10.3324584961
epoch time: 81.2116699219s, input_fired_time: 0.8947658539, output_fired_time: 0.0000000000, propagate_forward_time: 78.4281005859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8888015747
validation[          , genome  5327] predictions:    5979/  10000 (59.79%), best:    6017/10000 (60.17%), error:     12146.13965, best error:     11986.54004 on epoch:    66, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 1029.6384277344s, input_fired_time: 6.9862565994, output_fired_time: 5.9269490242, propagate_forward_time: 388.2951965332, propagate_backward_time: 618.1776123047, weight_update_time: 0.6188083887, other_time: 10.2524414063
epoch time: 82.1573791504s, input_fired_time: 0.9041013122, output_fired_time: 0.0000000000, propagate_forward_time: 79.3721618652, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8811187744
validation[          , genome  5327] predictions:    6010/  10000 (60.10%), best:    6017/10000 (60.17%), error:     12159.79395, best error:     11986.54004 on epoch:    66, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 990.9816284180s, input_fired_time: 6.8735055923, output_fired_time: 5.7628355026, propagate_forward_time: 373.9662475586, propagate_backward_time: 594.4540405273, weight_update_time: 0.5949621201, other_time: 9.9249877930
epoch time: 77.4721755981s, input_fired_time: 0.8688302040, output_fired_time: 0.0000000000, propagate_forward_time: 74.7798156738, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8235321045
validation[          , genome  5327] predictions:    6047/  10000 (60.47%), best:    6047/10000 (60.47%), error:     11962.45703, best error:     11962.45703 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 1012.7034912109s, input_fired_time: 6.9660158157, output_fired_time: 5.7951636314, propagate_forward_time: 385.5383300781, propagate_backward_time: 604.2473144531, weight_update_time: 0.6115898490, other_time: 10.1566772461
epoch time: 77.1777191162s, input_fired_time: 0.8724045753, output_fired_time: 0.0000000000, propagate_forward_time: 74.4944915771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8108215332
validation[          , genome  5327] predictions:    6019/  10000 (60.19%), best:    6047/10000 (60.47%), error:     12086.05273, best error:     11962.45703 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

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_1540746903_183_5327.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_183_5327_0_r1273543911_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: 0.97716
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000327556
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.31022e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 71
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 69
read number_validation_images: 10000
read best_validation_predictions: 6047
read best_validation_error: 11962.5
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5327
read normal distribution: '1 -2.14792656898499 -0.184111177921295'
generator_str: '1199196587'
read generator: 1199196587
read generated_by_map:
1 crossover 1
reading 62 nodes.
reading 256 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: 1153.48767089844s, input_fired_time: 24.7278480529785, output_fired_time: 21.4999656677246, propagate_forward_time: 396.450378417969, propagate_backward_time: 649.266235351563, weight_update_time: 3.29649138450623, other_time: 61.5431518554688
epoch time: 95.1911849975586s, input_fired_time: 3.91914582252502, output_fired_time: 0, propagate_forward_time: 79.6408233642578, propagate_backward_time: 0, weight_update_time: 0, other_time: 11.631217956543
validation[          , genome  5327] predictions:    5884/  10000 (58.84%), best:    6047/10000 (60.47%), error:     12427.79590, best error:     11962.45703 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 1184.6824951172s, input_fired_time: 25.2444572449, output_fired_time: 22.2208633423, propagate_forward_time: 404.6054687500, propagate_backward_time: 669.7741699219, weight_update_time: 3.3535568714, other_time: 62.8375244141
epoch time: 95.6697006226s, input_fired_time: 3.9966087341, output_fired_time: 0.0000000000, propagate_forward_time: 80.0587692261, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.6143264771
validation[          , genome  5327] predictions:    6050/  10000 (60.50%), best:    6047/10000 (60.47%), error:     12180.28027, best error:     11962.45703 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1136.0649414063s, input_fired_time: 24.2733039856, output_fired_time: 21.1317062378, propagate_forward_time: 387.1559753418, propagate_backward_time: 642.9926147461, weight_update_time: 3.2191333771, other_time: 60.5112915039
epoch time: 93.1090011597s, input_fired_time: 3.9667448997, output_fired_time: 0.0000000000, propagate_forward_time: 77.8199920654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.3222656250
validation[          , genome  5327] predictions:    5929/  10000 (59.29%), best:    6047/10000 (60.47%), error:     12419.09570, best error:     11962.45703 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 1077.6550292969s, input_fired_time: 23.5304412842, output_fired_time: 20.6473979950, propagate_forward_time: 370.9729003906, propagate_backward_time: 605.9575195313, weight_update_time: 3.1288211346, other_time: 56.5468750000
epoch time: 87.1605606079s, input_fired_time: 3.7746977806, output_fired_time: 0.0000000000, propagate_forward_time: 72.9553604126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.4305038452
validation[          , genome  5327] predictions:    6045/  10000 (60.45%), best:    6047/10000 (60.47%), error:     12032.66699, best error:     11962.45703 on epoch:    69, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 1121.5843505859s, input_fired_time: 24.4479179382, output_fired_time: 21.5918674469, propagate_forward_time: 381.6155700684, propagate_backward_time: 634.0122680664, weight_update_time: 3.2874639034, other_time: 59.9166870117
epoch time: 91.8524703979s, input_fired_time: 3.9085774422, output_fired_time: 0.0000000000, propagate_forward_time: 76.6901855469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2537078857
validation[          , genome  5327] predictions:    6003/  10000 (60.03%), best:    6047/10000 (60.47%), error:     12084.08105, best error:     11962.45703 on epoch:    69, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 1128.8367919922s, input_fired_time: 24.3264389038, output_fired_time: 21.3147315979, propagate_forward_time: 383.0386962891, propagate_backward_time: 638.5187988281, weight_update_time: 3.3097848892, other_time: 61.6381835938
epoch time: 86.2547302246s, input_fired_time: 3.7795059681, output_fired_time: 0.0000000000, propagate_forward_time: 71.7283706665, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7468566895
validation[          , genome  5327] predictions:    6027/  10000 (60.27%), best:    6047/10000 (60.47%), error:     12084.20215, best error:     11962.45703 on epoch:    69, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 1102.4554443359s, input_fired_time: 24.0498657227, output_fired_time: 21.0786666870, propagate_forward_time: 376.5212402344, propagate_backward_time: 621.5003662109, weight_update_time: 3.1995215416, other_time: 59.3052978516
epoch time: 91.1050491333s, input_fired_time: 4.0007648468, output_fired_time: 0.0000000000, propagate_forward_time: 75.4653854370, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.6389007568
validation[          , genome  5327] predictions:    6076/  10000 (60.76%), best:    6076/10000 (60.76%), error:     11872.71484, best error:     11872.71484 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 1071.2927246094s, input_fired_time: 23.6912193298, output_fired_time: 20.8684196472, propagate_forward_time: 364.9364929199, propagate_backward_time: 603.3413085938, weight_update_time: 3.1797521114, other_time: 58.4553222656
epoch time: 90.7123947144s, input_fired_time: 3.9899990559, output_fired_time: 0.0000000000, propagate_forward_time: 75.2996902466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.4227066040
validation[          , genome  5327] predictions:    6038/  10000 (60.38%), best:    6038/10000 (60.38%), error:     11841.60352, best error:     11841.60352 on epoch:    78, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 1085.6855468750s, input_fired_time: 23.9807796478, output_fired_time: 21.1478271484, propagate_forward_time: 368.8924865723, propagate_backward_time: 611.7386474609, weight_update_time: 3.2482481003, other_time: 59.9257812500
epoch time: 97.2397766113s, input_fired_time: 4.0250897408, output_fired_time: 0.0000000000, propagate_forward_time: 80.4429244995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.7717590332
validation[          , genome  5327] predictions:    6089/  10000 (60.89%), best:    6038/10000 (60.38%), error:     12177.46191, best error:     11841.60352 on epoch:    78, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 1069.7829589844s, input_fired_time: 23.8459606171, output_fired_time: 21.1363983154, propagate_forward_time: 360.9989929199, propagate_backward_time: 605.8905029297, weight_update_time: 3.1576101780, other_time: 57.9111328125
epoch time: 94.9109039307s, input_fired_time: 4.0932774544, output_fired_time: 0.0000000000, propagate_forward_time: 78.6193618774, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.1982650757
validation[          , genome  5327] predictions:    6085/  10000 (60.85%), best:    6038/10000 (60.38%), error:     11974.72461, best error:     11841.60352 on epoch:    78, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 1117.3300781250s, input_fired_time: 24.0769977570, output_fired_time: 21.1599464417, propagate_forward_time: 382.4066162109, propagate_backward_time: 629.4790039063, weight_update_time: 3.2371017933, other_time: 60.2075195313
epoch time: 93.6521606445s, input_fired_time: 3.7893383503, output_fired_time: 0.0000000000, propagate_forward_time: 78.6168823242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2459411621
validation[          , genome  5327] predictions:    6098/  10000 (60.98%), best:    6038/10000 (60.38%), error:     11887.79785, best error:     11841.60352 on epoch:    78, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 1147.4190673828s, input_fired_time: 24.4228591919, output_fired_time: 21.1745185852, propagate_forward_time: 392.1442565918, propagate_backward_time: 648.1119995117, weight_update_time: 3.2790768147, other_time: 61.5653686523
epoch time: 91.1556167603s, input_fired_time: 3.7370293140, output_fired_time: 0.0000000000, propagate_forward_time: 76.9106445313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.5079421997
validation[          , genome  5327] predictions:    6062/  10000 (60.62%), best:    6038/10000 (60.38%), error:     11871.29980, best error:     11841.60352 on epoch:    78, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1135.4759521484s, input_fired_time: 24.3399677277, output_fired_time: 21.3224449158, propagate_forward_time: 386.4690246582, propagate_backward_time: 642.6575927734, weight_update_time: 3.2407345772, other_time: 60.6870117188
epoch time: 90.9238052368s, input_fired_time: 3.7828149796, output_fired_time: 0.0000000000, propagate_forward_time: 76.1040649414, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.0369262695
validation[          , genome  5327] predictions:    6100/  10000 (61.00%), best:    6100/10000 (61.00%), error:     11814.83496, best error:     11814.83496 on epoch:    83, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1147.2329101563s, input_fired_time: 24.9904556274, output_fired_time: 21.6671333313, propagate_forward_time: 392.6772766113, propagate_backward_time: 645.1047973633, weight_update_time: 3.3448817730, other_time: 62.7932739258
epoch time: 94.1545486450s, input_fired_time: 3.9939923286, output_fired_time: 0.0000000000, propagate_forward_time: 77.8784484863, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.2821044922
validation[          , genome  5327] predictions:    6079/  10000 (60.79%), best:    6100/10000 (61.00%), error:     11902.62988, best error:     11814.83496 on epoch:    83, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1132.3638916016s, input_fired_time: 24.3685035706, output_fired_time: 21.2700004578, propagate_forward_time: 386.2486267090, propagate_backward_time: 637.6994018555, weight_update_time: 3.3098180294, other_time: 62.7772827148
epoch time: 95.6729049683s, input_fired_time: 4.0104198456, output_fired_time: 0.0000000000, propagate_forward_time: 79.6389923096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.0234909058
validation[          , genome  5327] predictions:    6043/  10000 (60.43%), best:    6100/10000 (61.00%), error:     11905.36621, best error:     11814.83496 on epoch:    83, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1134.0653076172s, input_fired_time: 24.3611774445, output_fired_time: 21.2875595093, propagate_forward_time: 385.7899780273, propagate_backward_time: 641.9517822266, weight_update_time: 3.2669329643, other_time: 60.6747436523
epoch time: 90.9623184204s, input_fired_time: 3.6271917820, output_fired_time: 0.0000000000, propagate_forward_time: 77.2914199829, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.0437088013
validation[          , genome  5327] predictions:    6083/  10000 (60.83%), best:    6100/10000 (61.00%), error:     11991.17578, best error:     11814.83496 on epoch:    83, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1171.0358886719s, input_fired_time: 24.7825775146, output_fired_time: 21.6229839325, propagate_forward_time: 400.9645996094, propagate_backward_time: 662.3398437500, weight_update_time: 3.2712697983, other_time: 61.3259277344
epoch time: 94.5391006470s, input_fired_time: 3.8464851379, output_fired_time: 0.0000000000, propagate_forward_time: 79.6555404663, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.0370712280
validation[          , genome  5327] predictions:    6060/  10000 (60.60%), best:    6100/10000 (61.00%), error:     12050.63965, best error:     11814.83496 on epoch:    83, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1182.2198486328s, input_fired_time: 24.6676292419, output_fired_time: 21.5017032623, propagate_forward_time: 404.7901000977, propagate_backward_time: 670.0274658203, weight_update_time: 3.2810790539, other_time: 61.2329711914
epoch time: 97.6179962158s, input_fired_time: 3.9067924023, output_fired_time: 0.0000000000, propagate_forward_time: 82.1503219604, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5608825684
validation[          , genome  5327] predictions:    6103/  10000 (61.03%), best:    6100/10000 (61.00%), error:     11885.57715, best error:     11814.83496 on epoch:    83, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1239.4099121094s, input_fired_time: 25.6003761292, output_fired_time: 22.5166606903, propagate_forward_time: 426.5604553223, propagate_backward_time: 701.5247802734, weight_update_time: 3.3858268261, other_time: 63.2077636719
epoch time: 97.2162399292s, input_fired_time: 3.8755517006, output_fired_time: 0.0000000000, propagate_forward_time: 82.0959320068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.2447586060
validation[          , genome  5327] predictions:    6099/  10000 (60.99%), best:    6100/10000 (61.00%), error:     11839.86523, best error:     11814.83496 on epoch:    83, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1250.8277587891s, input_fired_time: 25.8271694183, output_fired_time: 22.6364459991, propagate_forward_time: 430.4436645508, propagate_backward_time: 706.8821411133, weight_update_time: 3.5108399391, other_time: 65.0383300781
epoch time: 103.9043121338s, input_fired_time: 4.1241412163, output_fired_time: 0.0000000000, propagate_forward_time: 87.8594436646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9207305908
validation[          , genome  5327] predictions:    6081/  10000 (60.81%), best:    6100/10000 (61.00%), error:     11913.61133, best error:     11814.83496 on epoch:    83, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1273.8939208984s, input_fired_time: 26.1353149414, output_fired_time: 22.6224040985, propagate_forward_time: 439.3486938477, propagate_backward_time: 723.5793457031, weight_update_time: 3.3708717823, other_time: 62.2080688477
epoch time: 102.5645141602s, input_fired_time: 4.0396285057, output_fired_time: 0.0000000000, propagate_forward_time: 86.8683395386, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.6565475464
validation[          , genome  5327] predictions:    6082/  10000 (60.82%), best:    6100/10000 (61.00%), error:     11865.21777, best error:     11814.83496 on epoch:    83, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1257.9678955078s, input_fired_time: 25.5126895905, output_fired_time: 22.5045318604, propagate_forward_time: 435.4051513672, propagate_backward_time: 712.8710937500, weight_update_time: 3.3410501480, other_time: 61.6744384766
epoch time: 104.2999267578s, input_fired_time: 4.2408161163, output_fired_time: 0.0000000000, propagate_forward_time: 87.7465820313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.3125305176
validation[          , genome  5327] predictions:    6118/  10000 (61.18%), best:    6100/10000 (61.00%), error:     11872.32031, best error:     11814.83496 on epoch:    83, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1246.7663574219s, input_fired_time: 25.8181629181, output_fired_time: 22.1813621521, propagate_forward_time: 430.9822998047, propagate_backward_time: 704.5361938477, weight_update_time: 3.3477866650, other_time: 63.2483520508
epoch time: 102.2491302490s, input_fired_time: 4.0785079002, output_fired_time: 0.0000000000, propagate_forward_time: 86.1115341187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.0590896606
validation[          , genome  5327] predictions:    6039/  10000 (60.39%), best:    6100/10000 (61.00%), error:     12125.25684, best error:     11814.83496 on epoch:    83, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1237.5080566406s, input_fired_time: 25.5913391113, output_fired_time: 22.2019062042, propagate_forward_time: 425.2745361328, propagate_backward_time: 701.8625488281, weight_update_time: 3.3551089764, other_time: 62.5777587891
epoch time: 101.3239364624s, input_fired_time: 4.0844697952, output_fired_time: 0.0000000000, propagate_forward_time: 85.5276870728, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.7117767334
validation[          , genome  5327] predictions:    6109/  10000 (61.09%), best:    6100/10000 (61.00%), error:     11874.92480, best error:     11814.83496 on epoch:    83, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1249.1754150391s, input_fired_time: 25.2866916656, output_fired_time: 22.3158035278, propagate_forward_time: 428.1574401855, propagate_backward_time: 711.7647094727, weight_update_time: 3.3603978157, other_time: 61.6506958008
epoch time: 102.1107482910s, input_fired_time: 4.0630402565, output_fired_time: 0.0000000000, propagate_forward_time: 86.5207748413, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.5269317627
validation[          , genome  5327] predictions:    6066/  10000 (60.66%), best:    6100/10000 (61.00%), error:     11821.56152, best error:     11814.83496 on epoch:    83, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1230.6644287109s, input_fired_time: 25.5349330902, output_fired_time: 22.3251228333, propagate_forward_time: 422.4864196777, propagate_backward_time: 697.3584594727, weight_update_time: 3.3602058887, other_time: 62.9595336914
epoch time: 94.7871704102s, input_fired_time: 3.9095830917, output_fired_time: 0.0000000000, propagate_forward_time: 79.6929321289, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1846542358
validation[          , genome  5327] predictions:    6118/  10000 (61.18%), best:    6100/10000 (61.00%), error:     11836.97070, best error:     11814.83496 on epoch:    83, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1134.5467529297s, input_fired_time: 24.5475788116, output_fired_time: 21.5827293396, propagate_forward_time: 387.0263366699, propagate_backward_time: 640.8889160156, weight_update_time: 3.2693614960, other_time: 60.5010986328
epoch time: 102.4225845337s, input_fired_time: 4.2538523674, output_fired_time: 0.0000000000, propagate_forward_time: 84.8940582275, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 13.2746734619
validation[          , genome  5327] predictions:    6126/  10000 (61.26%), best:    6100/10000 (61.00%), error:     11817.52051, best error:     11814.83496 on epoch:    83, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1149.9290771484s, input_fired_time: 24.5278759003, output_fired_time: 21.4669589996, propagate_forward_time: 389.3346252441, propagate_backward_time: 652.5802612305, weight_update_time: 3.3080830574, other_time: 62.0194702148
epoch time: 98.1798095703s, input_fired_time: 4.0678472519, output_fired_time: 0.0000000000, propagate_forward_time: 82.1557540894, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.9562072754
validation[          , genome  5327] predictions:    6133/  10000 (61.33%), best:    6100/10000 (61.00%), error:     11843.81543, best error:     11814.83496 on epoch:    83, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1156.7714843750s, input_fired_time: 24.4713935852, output_fired_time: 21.3401775360, propagate_forward_time: 394.5886535645, propagate_backward_time: 654.1275024414, weight_update_time: 3.3268795013, other_time: 62.2437133789
epoch time: 90.5274887085s, input_fired_time: 3.7646749020, output_fired_time: 0.0000000000, propagate_forward_time: 76.0394287109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7233886719
validation[          , genome  5327] predictions:    6093/  10000 (60.93%), best:    6100/10000 (61.00%), error:     11906.85547, best error:     11814.83496 on epoch:    83, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1118.1676025391s, input_fired_time: 24.3313503265, output_fired_time: 21.3478317261, propagate_forward_time: 381.2719421387, propagate_backward_time: 631.3029174805, weight_update_time: 3.2172334194, other_time: 59.9136352539
epoch time: 90.8101425171s, input_fired_time: 4.0078887939, output_fired_time: 0.0000000000, propagate_forward_time: 75.1868896484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.6153640747
validation[          , genome  5327] predictions:    6098/  10000 (60.98%), best:    6100/10000 (61.00%), error:     12019.72461, best error:     11814.83496 on epoch:    83, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 448.7481994629s, input_fired_time: 19.2015266418, output_fired_time: 0.0000000000, propagate_forward_time: 373.7033691406, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 55.8432922363
best training[          , genome  5327] predictions:   38963/  50000 (77.93%), best:    6100/10000 (61.00%), error:     33189.33594, best error:     11814.83496 on epoch:    83, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 83.0652389526s, input_fired_time: 3.4720740318, output_fired_time: 0.0000000000, propagate_forward_time: 70.4729309082, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.1202316284
   testing[          , genome  5327] predictions:    6100/  10000 (61.00%), best:    6100/10000 (61.00%), error:     11814.83496, best error:     11814.83496 on epoch:    83, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
21:52:49 (25296): called boinc_finish(0)

</stderr_txt>
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