Nameexact_genome_1540746903_184_5337_1
Workunit4075240
Created28 Oct 2018, 19:40:28 UTC
Sent28 Oct 2018, 20:13:03 UTC
Report deadline2 Jan 2019, 5:45:41 UTC
Received9 Dec 2018, 16:35:43 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time1 days 5 hours 24 min 27 sec
CPU time1 days 4 hours 42 min 5 sec
Validate stateValid
Credit16,349.42
Device peak FLOPS3.80 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size517.18 MB
Peak swap size536.65 MB
Peak disk usage7.97 MB

Stderr output

<core_client_version>7.12.1</core_client_version>
<![CDATA[
<stderr_txt>
 12850.22754, best error:     12850.22754 on epoch:    34, epoch:   34/100, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1276.1088867188s, input_fired_time: 9.6372489929, output_fired_time: 8.9244670868, propagate_forward_time: 478.9309082031, propagate_backward_time: 765.0402832031, weight_update_time: 1.2391031981, other_time: 13.5760498047
epoch time: 98.3146438599s, input_fired_time: 1.2347818613, output_fired_time: 0.0000000000, propagate_forward_time: 94.7062072754, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3736572266
validation[          , genome  5337] predictions:    5419/  10000 (54.19%), best:    5679/10000 (56.79%), error:     13847.00195, best error:     12850.22754 on epoch:    34, epoch:   35/100, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

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_184_5337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_184_5337_1_r86207907_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: 0.912688
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00197224
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.88896e-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: 36
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5679
read best_validation_error: 12850.2
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5337
read normal distribution: '1 0 0'
generator_str: '1833302155'
read generator: 1833302155
read generated_by_map:
1 disable_node 1
reading 58 nodes.
reading 206 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_184_5337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_184_5337_1_r86207907_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: 0.912688
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00197224
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.88896e-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: 36
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5679
read best_validation_error: 12850.2
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5337
read normal distribution: '1 0 0'
generator_str: '1833302155'
read generator: 1833302155
read generated_by_map:
1 disable_node 1
reading 58 nodes.
reading 206 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: 715.810791015625s, input_fired_time: 6.74377632141113, output_fired_time: 5.22793197631836, propagate_forward_time: 252.894012451172, propagate_backward_time: 441.505889892578, weight_update_time: 0.880457878112793, other_time: 9.439208984375
epoch time: 54.8665237426758s, input_fired_time: 0.818189859390259, output_fired_time: 0, propagate_forward_time: 52.3304710388184, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.71786117553711
validation[          , genome  5337] predictions:    5690/  10000 (56.90%), best:    5679/10000 (56.79%), error:     13183.41797, best error:     12850.22754 on epoch:    34, epoch:   36/100, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 719.1473999023s, input_fired_time: 6.7853722572, output_fired_time: 5.2860097885, propagate_forward_time: 253.6689453125, propagate_backward_time: 443.8751831055, weight_update_time: 0.8842513561, other_time: 9.5318603516
epoch time: 46.2272109985s, input_fired_time: 0.7181190848, output_fired_time: 0.0000000000, propagate_forward_time: 43.9454841614, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5636062622
validation[          , genome  5337] predictions:    5497/  10000 (54.97%), best:    5679/10000 (56.79%), error:     13588.11230, best error:     12850.22754 on epoch:    34, epoch:   37/100, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 740.0877075195s, input_fired_time: 6.9098911285, output_fired_time: 5.4290499687, propagate_forward_time: 262.2915344238, propagate_backward_time: 455.6970825195, weight_update_time: 0.9034073353, other_time: 9.7601013184
epoch time: 45.9168930054s, input_fired_time: 0.7350656986, output_fired_time: 0.0000000000, propagate_forward_time: 43.6239242554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5579032898
validation[          , genome  5337] predictions:    5579/  10000 (55.79%), best:    5679/10000 (56.79%), error:     13470.00391, best error:     12850.22754 on epoch:    34, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 780.2326660156s, input_fired_time: 7.0697731972, output_fired_time: 5.6389102936, propagate_forward_time: 279.1499938965, propagate_backward_time: 478.5218811035, weight_update_time: 0.9225469828, other_time: 9.8521118164
epoch time: 55.3369674683s, input_fired_time: 0.8135515451, output_fired_time: 0.0000000000, propagate_forward_time: 52.8476715088, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6757431030
validation[          , genome  5337] predictions:    5576/  10000 (55.76%), best:    5679/10000 (56.79%), error:     13559.14160, best error:     12850.22754 on epoch:    34, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 734.3401489258s, input_fired_time: 6.8798379898, output_fired_time: 5.3695712090, propagate_forward_time: 260.1618041992, propagate_backward_time: 452.3435974121, weight_update_time: 0.8923817277, other_time: 9.5853576660
epoch time: 47.4159202576s, input_fired_time: 0.7610536218, output_fired_time: 0.0000000000, propagate_forward_time: 45.0637779236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5910873413
validation[          , genome  5337] predictions:    5534/  10000 (55.34%), best:    5679/10000 (56.79%), error:     13753.00879, best error:     12850.22754 on epoch:    34, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 804.5004272461s, input_fired_time: 7.1899070740, output_fired_time: 5.7918500900, propagate_forward_time: 288.6440734863, propagate_backward_time: 492.8870544434, weight_update_time: 0.9349722266, other_time: 9.9875488281
epoch time: 73.0227966309s, input_fired_time: 0.9821598530, output_fired_time: 0.0000000000, propagate_forward_time: 70.0513458252, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9892883301
validation[          , genome  5337] predictions:    5804/  10000 (58.04%), best:    5804/10000 (58.04%), error:     12711.34863, best error:     12711.34863 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 845.2084960938s, input_fired_time: 7.3422403336, output_fired_time: 6.0006070137, propagate_forward_time: 306.2169494629, propagate_backward_time: 515.4903564453, weight_update_time: 0.9562968016, other_time: 10.1583251953
epoch time: 89.1078872681s, input_fired_time: 1.1113275290, output_fired_time: 0.0000000000, propagate_forward_time: 85.8681335449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1284255981
validation[          , genome  5337] predictions:    5671/  10000 (56.71%), best:    5804/10000 (58.04%), error:     13093.58301, best error:     12711.34863 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 708.1879882813s, input_fired_time: 6.7937779427, output_fired_time: 5.2182025909, propagate_forward_time: 249.0558013916, propagate_backward_time: 437.6750183105, weight_update_time: 0.8777711391, other_time: 9.4452209473
epoch time: 71.8638992310s, input_fired_time: 0.9827716351, output_fired_time: 0.0000000000, propagate_forward_time: 68.8839492798, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9971771240
validation[          , genome  5337] predictions:    5659/  10000 (56.59%), best:    5804/10000 (58.04%), error:     13117.75391, best error:     12711.34863 on epoch:    41, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 790.0509643555s, input_fired_time: 7.1266951561, output_fired_time: 5.6704244614, propagate_forward_time: 283.3294372559, propagate_backward_time: 484.0804443359, weight_update_time: 0.9251357913, other_time: 9.8439636230
epoch time: 46.4871253967s, input_fired_time: 0.7516733408, output_fired_time: 0.0000000000, propagate_forward_time: 44.1637458801, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5717048645
validation[          , genome  5337] predictions:    5824/  10000 (58.24%), best:    5824/10000 (58.24%), error:     12680.82813, best error:     12680.82813 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 828.7959594727s, input_fired_time: 7.2966346741, output_fired_time: 5.8908386230, propagate_forward_time: 299.3795471191, propagate_backward_time: 506.1532287598, weight_update_time: 0.9497655034, other_time: 10.0757751465
epoch time: 54.7082138062s, input_fired_time: 0.8165253401, output_fired_time: 0.0000000000, propagate_forward_time: 52.2111434937, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6805458069
validation[          , genome  5337] predictions:    5740/  10000 (57.40%), best:    5824/10000 (58.24%), error:     12907.69727, best error:     12680.82813 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 784.9968261719s, input_fired_time: 7.1376404762, output_fired_time: 5.6679739952, propagate_forward_time: 280.8451538086, propagate_backward_time: 481.4512023926, weight_update_time: 0.9244023561, other_time: 9.8948669434
epoch time: 61.0297584534s, input_fired_time: 0.8701344728, output_fired_time: 0.0000000000, propagate_forward_time: 58.4192199707, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7404022217
validation[          , genome  5337] predictions:    5801/  10000 (58.01%), best:    5801/10000 (58.01%), error:     12646.07324, best error:     12646.07324 on epoch:    46, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 862.3255004883s, input_fired_time: 7.4787540436, output_fired_time: 6.1259284019, propagate_forward_time: 312.9253234863, propagate_backward_time: 525.4517211914, weight_update_time: 0.9708456993, other_time: 10.3438110352
epoch time: 69.8875045776s, input_fired_time: 0.9630605578, output_fired_time: 0.0000000000, propagate_forward_time: 66.9740982056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9503479004
validation[          , genome  5337] predictions:    5673/  10000 (56.73%), best:    5801/10000 (58.01%), error:     12990.96191, best error:     12646.07324 on epoch:    46, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 780.1708984375s, input_fired_time: 7.1263070107, output_fired_time: 5.6280412674, propagate_forward_time: 279.3110656738, propagate_backward_time: 478.2395935059, weight_update_time: 0.9227092862, other_time: 9.8659057617
epoch time: 67.2667922974s, input_fired_time: 0.9280438423, output_fired_time: 0.0000000000, propagate_forward_time: 64.5282516479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8104934692
validation[          , genome  5337] predictions:    5896/  10000 (58.96%), best:    5896/10000 (58.96%), error:     12378.79785, best error:     12378.79785 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 721.4539184570s, input_fired_time: 6.8560547829, output_fired_time: 5.2524709702, propagate_forward_time: 254.7337493896, propagate_backward_time: 445.1936645508, weight_update_time: 0.8849036694, other_time: 9.4179687500
epoch time: 58.0180549622s, input_fired_time: 0.8553662896, output_fired_time: 0.0000000000, propagate_forward_time: 55.4589614868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7037277222
validation[          , genome  5337] predictions:    5806/  10000 (58.06%), best:    5896/10000 (58.96%), error:     12687.22070, best error:     12378.79785 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 706.3925170898s, input_fired_time: 6.8275470734, output_fired_time: 5.2048430443, propagate_forward_time: 248.4158935547, propagate_backward_time: 436.5125122070, weight_update_time: 0.8792518377, other_time: 9.4317016602
epoch time: 63.8510093689s, input_fired_time: 0.9016967416, output_fired_time: 0.0000000000, propagate_forward_time: 61.1825332642, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7667808533
validation[          , genome  5337] predictions:    5788/  10000 (57.88%), best:    5896/10000 (58.96%), error:     12758.78711, best error:     12378.79785 on epoch:    48, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 702.0885009766s, input_fired_time: 6.8239893913, output_fired_time: 5.1830487251, propagate_forward_time: 246.6158294678, propagate_backward_time: 434.0668334961, weight_update_time: 0.8738265634, other_time: 9.3988037109
epoch time: 56.5632019043s, input_fired_time: 0.8464297056, output_fired_time: 0.0000000000, propagate_forward_time: 53.9693298340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7474441528
validation[          , genome  5337] predictions:    5743/  10000 (57.43%), best:    5896/10000 (58.96%), error:     12890.61426, best error:     12378.79785 on epoch:    48, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 820.5418090820s, input_fired_time: 7.3788180351, output_fired_time: 5.9599003792, propagate_forward_time: 294.8892211914, propagate_backward_time: 502.0809020996, weight_update_time: 0.9493004680, other_time: 10.2329406738
epoch time: 53.4545211792s, input_fired_time: 0.8159872890, output_fired_time: 0.0000000000, propagate_forward_time: 50.9499397278, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6885948181
validation[          , genome  5337] predictions:    5715/  10000 (57.15%), best:    5896/10000 (58.96%), error:     12977.53711, best error:     12378.79785 on epoch:    48, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 873.5588989258s, input_fired_time: 7.6283459663, output_fired_time: 6.2988505363, propagate_forward_time: 317.4941101074, propagate_backward_time: 531.4980468750, weight_update_time: 0.9814428687, other_time: 10.6395263672
epoch time: 69.3999099731s, input_fired_time: 0.9724697471, output_fired_time: 0.0000000000, propagate_forward_time: 66.4779891968, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9494476318
validation[          , genome  5337] predictions:    5838/  10000 (58.38%), best:    5896/10000 (58.96%), error:     12414.42773, best error:     12378.79785 on epoch:    48, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 844.8220825195s, input_fired_time: 7.4725947380, output_fired_time: 6.0558652878, propagate_forward_time: 305.4213867188, propagate_backward_time: 515.5689086914, weight_update_time: 0.9599791169, other_time: 10.3033447266
epoch time: 57.7101821899s, input_fired_time: 0.8562904596, output_fired_time: 0.0000000000, propagate_forward_time: 55.1588973999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6949958801
validation[          , genome  5337] predictions:    5842/  10000 (58.42%), best:    5896/10000 (58.96%), error:     12659.90527, best error:     12378.79785 on epoch:    48, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 807.0457763672s, input_fired_time: 7.2787117958, output_fired_time: 5.7792096138, propagate_forward_time: 290.4117126465, propagate_backward_time: 493.5932922363, weight_update_time: 0.9354959726, other_time: 9.9828491211
epoch time: 47.0509719849s, input_fired_time: 0.7661427855, output_fired_time: 0.0000000000, propagate_forward_time: 44.7102699280, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5745582581
validation[          , genome  5337] predictions:    5890/  10000 (58.90%), best:    5896/10000 (58.96%), error:     12495.54883, best error:     12378.79785 on epoch:    48, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 702.5215454102s, input_fired_time: 6.8359446526, output_fired_time: 5.1721334457, propagate_forward_time: 247.1331481934, propagate_backward_time: 434.0203247070, weight_update_time: 0.8741102219, other_time: 9.3600158691
epoch time: 46.2517471313s, input_fired_time: 0.7579519153, output_fired_time: 0.0000000000, propagate_forward_time: 43.9304809570, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5633125305
validation[          , genome  5337] predictions:    5763/  10000 (57.63%), best:    5896/10000 (58.96%), error:     12698.24121, best error:     12378.79785 on epoch:    48, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 764.2415161133s, input_fired_time: 7.1320495605, output_fired_time: 5.5839214325, propagate_forward_time: 272.4219055176, propagate_backward_time: 469.3051147461, weight_update_time: 0.9109054208, other_time: 9.7985534668
epoch time: 49.5183067322s, input_fired_time: 0.7917270064, output_fired_time: 0.0000000000, propagate_forward_time: 47.1186676025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6079139709
validation[          , genome  5337] predictions:    5922/  10000 (59.22%), best:    5922/10000 (59.22%), error:     12143.59961, best error:     12143.59961 on epoch:    57, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 853.4807739258s, input_fired_time: 7.5513086319, output_fired_time: 6.1407890320, propagate_forward_time: 309.0060119629, propagate_backward_time: 520.3377685547, weight_update_time: 0.9680873752, other_time: 10.4448242188
epoch time: 53.5534744263s, input_fired_time: 0.8276417851, output_fired_time: 0.0000000000, propagate_forward_time: 51.0748939514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6509399414
validation[          , genome  5337] predictions:    5998/  10000 (59.98%), best:    5998/10000 (59.98%), error:     12062.80957, best error:     12062.80957 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 735.6970214844s, input_fired_time: 7.0137133598, output_fired_time: 5.3997039795, propagate_forward_time: 260.3638610840, propagate_backward_time: 453.2873535156, weight_update_time: 0.8944151998, other_time: 9.6323547363
epoch time: 88.4080276489s, input_fired_time: 1.1418813467, output_fired_time: 0.0000000000, propagate_forward_time: 85.0571594238, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2089843750
validation[          , genome  5337] predictions:    5931/  10000 (59.31%), best:    5998/10000 (59.98%), error:     12369.54590, best error:     12062.80957 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 804.2734985352s, input_fired_time: 7.3101596832, output_fired_time: 5.7923979759, propagate_forward_time: 289.1482849121, propagate_backward_time: 492.0046997070, weight_update_time: 0.9342902303, other_time: 10.0179138184
epoch time: 59.5865402222s, input_fired_time: 0.8792800903, output_fired_time: 0.0000000000, propagate_forward_time: 56.9936332703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7136268616
validation[          , genome  5337] predictions:    6012/  10000 (60.12%), best:    6012/10000 (60.12%), error:     12040.57227, best error:     12040.57227 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 803.3076171875s, input_fired_time: 7.3282475471, output_fired_time: 5.8123483658, propagate_forward_time: 288.7544860840, propagate_backward_time: 491.3538818359, weight_update_time: 0.9360505939, other_time: 10.0586242676
epoch time: 54.8889999390s, input_fired_time: 0.8343361616, output_fired_time: 0.0000000000, propagate_forward_time: 52.3912925720, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6633720398
validation[          , genome  5337] predictions:    5854/  10000 (58.54%), best:    6012/10000 (60.12%), error:     12489.54492, best error:     12040.57227 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 830.7950439453s, input_fired_time: 7.4367384911, output_fired_time: 5.9528527260, propagate_forward_time: 299.6799316406, propagate_backward_time: 507.5389709473, weight_update_time: 0.9524186850, other_time: 10.1864929199
epoch time: 60.6377716064s, input_fired_time: 0.8880709410, output_fired_time: 0.0000000000, propagate_forward_time: 58.0214614868, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7282409668
validation[          , genome  5337] predictions:    5938/  10000 (59.38%), best:    6012/10000 (60.12%), error:     12208.59180, best error:     12040.57227 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 872.1591796875s, input_fired_time: 7.6653170586, output_fired_time: 6.2523145676, propagate_forward_time: 316.5568542480, propagate_backward_time: 531.1223754883, weight_update_time: 0.9792713523, other_time: 10.5623168945
epoch time: 78.3059234619s, input_fired_time: 1.0343559980, output_fired_time: 0.0000000000, propagate_forward_time: 75.3421401978, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9294281006
validation[          , genome  5337] predictions:    5918/  10000 (59.18%), best:    6012/10000 (60.12%), error:     12236.00781, best error:     12040.57227 on epoch:    60, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 834.0685424805s, input_fired_time: 7.4836654663, output_fired_time: 6.0042867661, propagate_forward_time: 300.6095581055, propagate_backward_time: 509.7109985352, weight_update_time: 0.9592397213, other_time: 10.2600708008
epoch time: 51.3915061951s, input_fired_time: 0.8173282146, output_fired_time: 0.0000000000, propagate_forward_time: 48.9240150452, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6501617432
validation[          , genome  5337] predictions:    5977/  10000 (59.77%), best:    6012/10000 (60.12%), error:     12199.46973, best error:     12040.57227 on epoch:    60, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 932.9988403320s, input_fired_time: 7.8827390671, output_fired_time: 6.5285687447, propagate_forward_time: 342.2625122070, propagate_backward_time: 565.6082153320, weight_update_time: 1.0133336782, other_time: 10.7167968750
epoch time: 87.9576797485s, input_fired_time: 1.1614503860, output_fired_time: 0.0000000000, propagate_forward_time: 84.5354385376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2607879639
validation[          , genome  5337] predictions:    5951/  10000 (59.51%), best:    6012/10000 (60.12%), error:     12211.68164, best error:     12040.57227 on epoch:    60, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 914.6854248047s, input_fired_time: 7.8282089233, output_fired_time: 6.4627032280, propagate_forward_time: 334.4953613281, propagate_backward_time: 555.1885375977, weight_update_time: 1.0059103966, other_time: 10.7106323242
epoch time: 66.8159332275s, input_fired_time: 0.9616281986, output_fired_time: 0.0000000000, propagate_forward_time: 63.9462623596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9080390930
validation[          , genome  5337] predictions:    5762/  10000 (57.62%), best:    6012/10000 (60.12%), error:     12657.87207, best error:     12040.57227 on epoch:    60, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 941.9456787109s, input_fired_time: 7.9525504112, output_fired_time: 6.6254453659, propagate_forward_time: 345.5010681152, propagate_backward_time: 571.0031738281, weight_update_time: 1.0213658810, other_time: 10.8634033203
epoch time: 64.7614440918s, input_fired_time: 0.9285021424, output_fired_time: 0.0000000000, propagate_forward_time: 62.0387802124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7941627502
validation[          , genome  5337] predictions:    6042/  10000 (60.42%), best:    6012/10000 (60.12%), error:     12203.93848, best error:     12040.57227 on epoch:    60, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 935.3626098633s, input_fired_time: 7.9273691177, output_fired_time: 6.5682196617, propagate_forward_time: 343.0926818848, propagate_backward_time: 567.0015258789, weight_update_time: 1.0159013271, other_time: 10.7727661133
epoch time: 88.5186538696s, input_fired_time: 1.1653180122, output_fired_time: 0.0000000000, propagate_forward_time: 85.0940399170, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2592926025
validation[          , genome  5337] predictions:    5935/  10000 (59.35%), best:    6012/10000 (60.12%), error:     12244.23340, best error:     12040.57227 on epoch:    60, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 987.1525268555s, input_fired_time: 8.1292676926, output_fired_time: 6.8319048882, propagate_forward_time: 364.9286499023, propagate_backward_time: 596.2261962891, weight_update_time: 1.0453227758, other_time: 11.0364990234
epoch time: 89.0548706055s, input_fired_time: 1.1553519964, output_fired_time: 0.0000000000, propagate_forward_time: 85.7112731934, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1882476807
validation[          , genome  5337] predictions:    6039/  10000 (60.39%), best:    6039/10000 (60.39%), error:     11917.64355, best error:     11917.64355 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 956.9744873047s, input_fired_time: 8.0077610016, output_fired_time: 6.6830887794, propagate_forward_time: 352.0499267578, propagate_backward_time: 579.3291625977, weight_update_time: 1.0272846222, other_time: 10.9045410156
epoch time: 86.2892684937s, input_fired_time: 1.1053456068, output_fired_time: 0.0000000000, propagate_forward_time: 83.1755905151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0083312988
validation[          , genome  5337] predictions:    6043/  10000 (60.43%), best:    6043/10000 (60.43%), error:     11887.67773, best error:     11887.67773 on epoch:    70, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 910.6171875000s, input_fired_time: 7.7940444946, output_fired_time: 6.3758506775, propagate_forward_time: 332.9164428711, propagate_backward_time: 553.0059204102, weight_update_time: 0.9967614412, other_time: 10.5249023438
epoch time: 89.3449859619s, input_fired_time: 1.1544487476, output_fired_time: 0.0000000000, propagate_forward_time: 86.0455474854, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1449890137
validation[          , genome  5337] predictions:    5928/  10000 (59.28%), best:    6043/10000 (60.43%), error:     12138.14844, best error:     11887.67773 on epoch:    70, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 948.0459594727s, input_fired_time: 8.0060920715, output_fired_time: 6.6660666466, propagate_forward_time: 347.9526367188, propagate_backward_time: 574.4810180664, weight_update_time: 1.0225692987, other_time: 10.9401245117
epoch time: 55.3699569702s, input_fired_time: 0.8589602709, output_fired_time: 0.0000000000, propagate_forward_time: 52.8177146912, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6932830811
validation[          , genome  5337] predictions:    5997/  10000 (59.97%), best:    6043/10000 (60.43%), error:     12206.44824, best error:     11887.67773 on epoch:    70, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 1001.1602172852s, input_fired_time: 8.2003040314, output_fired_time: 6.9198584557, propagate_forward_time: 370.0272827148, propagate_backward_time: 604.9304199219, weight_update_time: 1.0510909557, other_time: 11.0823364258
epoch time: 76.1471176147s, input_fired_time: 1.0373544693, output_fired_time: 0.0000000000, propagate_forward_time: 73.1561126709, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9536514282
validation[          , genome  5337] predictions:    6048/  10000 (60.48%), best:    6043/10000 (60.43%), error:     11993.47070, best error:     11887.67773 on epoch:    70, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 987.5843505859s, input_fired_time: 8.1495838165, output_fired_time: 6.8473215103, propagate_forward_time: 364.9141845703, propagate_backward_time: 596.6660156250, weight_update_time: 1.0432806015, other_time: 11.0072021484
epoch time: 78.2098236084s, input_fired_time: 1.0480308533, output_fired_time: 0.0000000000, propagate_forward_time: 75.2167892456, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9449996948
validation[          , genome  5337] predictions:    6044/  10000 (60.44%), best:    6043/10000 (60.43%), error:     12267.12402, best error:     11887.67773 on epoch:    70, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 969.1847534180s, input_fired_time: 8.1039361954, output_fired_time: 6.7969040871, propagate_forward_time: 356.3139038086, propagate_backward_time: 586.9241943359, weight_update_time: 1.0358912945, other_time: 11.0458374023
epoch time: 78.5390014648s, input_fired_time: 1.0708972216, output_fired_time: 0.0000000000, propagate_forward_time: 75.4144210815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0536804199
validation[          , genome  5337] predictions:    6109/  10000 (61.09%), best:    6109/10000 (61.09%), error:     11836.20898, best error:     11836.20898 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 973.6883544922s, input_fired_time: 8.1343240738, output_fired_time: 6.8137435913, propagate_forward_time: 358.4990539551, propagate_backward_time: 589.1921997070, weight_update_time: 1.0393389463, other_time: 11.0490112305
epoch time: 66.6573944092s, input_fired_time: 0.9609882832, output_fired_time: 0.0000000000, propagate_forward_time: 63.8725967407, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8238067627
validation[          , genome  5337] predictions:    6031/  10000 (60.31%), best:    6109/10000 (61.09%), error:     12070.55566, best error:     11836.20898 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 933.0625610352s, input_fired_time: 7.9270853996, output_fired_time: 6.4919223785, propagate_forward_time: 343.1676025391, propagate_backward_time: 564.7783203125, weight_update_time: 1.0127884150, other_time: 10.6976318359
epoch time: 85.3135070801s, input_fired_time: 1.1245241165, output_fired_time: 0.0000000000, propagate_forward_time: 82.1046295166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0843505859
validation[          , genome  5337] predictions:    5925/  10000 (59.25%), best:    6109/10000 (61.09%), error:     12262.35547, best error:     11836.20898 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 903.9300537109s, input_fired_time: 7.8098630905, output_fired_time: 6.3393073082, propagate_forward_time: 331.3262939453, propagate_backward_time: 547.9198608398, weight_update_time: 0.9925139546, other_time: 10.5347290039
epoch time: 72.5024642944s, input_fired_time: 1.0030467510, output_fired_time: 0.0000000000, propagate_forward_time: 69.6092453003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8901748657
validation[          , genome  5337] predictions:    5913/  10000 (59.13%), best:    6109/10000 (61.09%), error:     12294.88770, best error:     11836.20898 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 948.7517700195s, input_fired_time: 8.0017070770, output_fired_time: 6.5847144127, propagate_forward_time: 349.3502502441, propagate_backward_time: 574.0111694336, weight_update_time: 1.0213886499, other_time: 10.8038940430
epoch time: 65.4888153076s, input_fired_time: 0.9534595609, output_fired_time: 0.0000000000, propagate_forward_time: 62.6935577393, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8417968750
validation[          , genome  5337] predictions:    6015/  10000 (60.15%), best:    6109/10000 (61.09%), error:     12261.01074, best error:     11836.20898 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 960.0994262695s, input_fired_time: 8.0424909592, output_fired_time: 6.6973876953, propagate_forward_time: 352.5615844727, propagate_backward_time: 581.9030761719, weight_update_time: 1.0295534134, other_time: 10.8948974609
epoch time: 65.7250518799s, input_fired_time: 0.9524700046, output_fired_time: 0.0000000000, propagate_forward_time: 62.9414825439, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8311004639
validation[          , genome  5337] predictions:    6074/  10000 (60.74%), best:    6109/10000 (61.09%), error:     12120.60742, best error:     11836.20898 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 974.1622924805s, input_fired_time: 8.1279258728, output_fired_time: 6.7670998573, propagate_forward_time: 358.6844787598, propagate_backward_time: 589.5982055664, weight_update_time: 1.0380327702, other_time: 10.9845581055
epoch time: 75.9994125366s, input_fired_time: 1.0465338230, output_fired_time: 0.0000000000, propagate_forward_time: 72.9620361328, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9908447266
validation[          , genome  5337] predictions:    5955/  10000 (59.55%), best:    6109/10000 (61.09%), error:     12201.04688, best error:     11836.20898 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

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_184_5337.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1540746903_184_5337_1_r86207907_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: 0.982697
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000186314
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.45255e-06
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: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 75
read number_validation_images: 10000
read best_validation_predictions: 6109
read best_validation_error: 11836.2
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5337
read normal distribution: '1 0 0'
generator_str: '730262407'
read generator: 730262407
read generated_by_map:
1 disable_node 1
reading 58 nodes.
reading 206 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: 1111.46826171875s, input_fired_time: 16.22194480896, output_fired_time: 13.2990789413452, propagate_forward_time: 387.150695800781, propagate_backward_time: 653.144409179688, weight_update_time: 2.0045051574707, other_time: 41.6521606445313
epoch time: 81.9913101196289s, input_fired_time: 2.50424766540527, output_fired_time: 0, propagate_forward_time: 71.608528137207, propagate_backward_time: 0, weight_update_time: 0, other_time: 7.87853240966797
validation[          , genome  5337] predictions:    6061/  10000 (60.61%), best:    6109/10000 (61.09%), error:     11974.42676, best error:     11836.20898 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 1092.4238281250s, input_fired_time: 17.0056018829, output_fired_time: 13.9266281128, propagate_forward_time: 381.4151916504, propagate_backward_time: 637.5781250000, weight_update_time: 2.0725364685, other_time: 42.4982910156
epoch time: 77.8580093384s, input_fired_time: 2.3435218334, output_fired_time: 0.0000000000, propagate_forward_time: 68.9161682129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.5983200073
validation[          , genome  5337] predictions:    6100/  10000 (61.00%), best:    6109/10000 (61.09%), error:     11910.98633, best error:     11836.20898 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 1092.5570068359s, input_fired_time: 17.1635894775, output_fired_time: 13.7408227921, propagate_forward_time: 380.9584045410, propagate_backward_time: 639.1668701172, weight_update_time: 2.0535995960, other_time: 41.5273437500
epoch time: 89.7664260864s, input_fired_time: 2.5225365162, output_fired_time: 0.0000000000, propagate_forward_time: 79.2758026123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9680862427
validation[          , genome  5337] predictions:    5985/  10000 (59.85%), best:    6109/10000 (61.09%), error:     12206.53809, best error:     11836.20898 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 1092.9539794922s, input_fired_time: 16.4321804047, output_fired_time: 13.4070377350, propagate_forward_time: 379.5914001465, propagate_backward_time: 642.9224853516, weight_update_time: 2.0171201229, other_time: 40.6009521484
epoch time: 88.8727340698s, input_fired_time: 2.5312066078, output_fired_time: 0.0000000000, propagate_forward_time: 78.1970138550, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1445159912
validation[          , genome  5337] predictions:    6151/  10000 (61.51%), best:    6109/10000 (61.09%), error:     11887.31445, best error:     11836.20898 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 1122.4197998047s, input_fired_time: 17.0646381378, output_fired_time: 13.9954853058, propagate_forward_time: 389.3998413086, propagate_backward_time: 659.9421997070, weight_update_time: 2.0403835773, other_time: 42.0175781250
epoch time: 88.0255737305s, input_fired_time: 2.3185679913, output_fired_time: 0.0000000000, propagate_forward_time: 78.6474990845, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0595092773
validation[          , genome  5337] predictions:    5935/  10000 (59.35%), best:    6109/10000 (61.09%), error:     12192.90039, best error:     11836.20898 on epoch:    75, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 1150.0615234375s, input_fired_time: 17.1508216858, output_fired_time: 13.8463420868, propagate_forward_time: 399.9070434570, propagate_backward_time: 676.3256225586, weight_update_time: 2.0673000813, other_time: 42.8316650391
epoch time: 87.6207351685s, input_fired_time: 2.3176569939, output_fired_time: 0.0000000000, propagate_forward_time: 78.3577194214, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9453582764
validation[          , genome  5337] predictions:    6074/  10000 (60.74%), best:    6109/10000 (61.09%), error:     11964.76465, best error:     11836.20898 on epoch:    75, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 1127.1789550781s, input_fired_time: 16.9497337341, output_fired_time: 13.6072454453, propagate_forward_time: 393.1669006348, propagate_backward_time: 661.4060668945, weight_update_time: 2.0604276657, other_time: 42.0490112305
epoch time: 92.9308547974s, input_fired_time: 2.5522878170, output_fired_time: 0.0000000000, propagate_forward_time: 81.9938278198, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.3847427368
validation[          , genome  5337] predictions:    6119/  10000 (61.19%), best:    6109/10000 (61.09%), error:     11853.75000, best error:     11836.20898 on epoch:    75, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 1130.1301269531s, input_fired_time: 17.0178279877, output_fired_time: 13.7626638412, propagate_forward_time: 392.9188537598, propagate_backward_time: 663.8251953125, weight_update_time: 2.0600571632, other_time: 42.6055908203
epoch time: 88.6424026489s, input_fired_time: 2.4324467182, output_fired_time: 0.0000000000, propagate_forward_time: 78.5817108154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6282424927
validation[          , genome  5337] predictions:    6127/  10000 (61.27%), best:    6127/10000 (61.27%), error:     11808.40527, best error:     11808.40527 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 1164.4312744141s, input_fired_time: 17.4342079163, output_fired_time: 14.0131139755, propagate_forward_time: 407.0571594238, propagate_backward_time: 681.2669067383, weight_update_time: 2.1274676323, other_time: 44.6599731445
epoch time: 94.2784347534s, input_fired_time: 2.5219168663, output_fired_time: 0.0000000000, propagate_forward_time: 83.4961471558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2603683472
validation[          , genome  5337] predictions:    5994/  10000 (59.94%), best:    6127/10000 (61.27%), error:     12131.30664, best error:     11808.40527 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 1195.0158691406s, input_fired_time: 17.8751430511, output_fired_time: 14.5832901001, propagate_forward_time: 417.7347717285, propagate_backward_time: 699.2049560547, weight_update_time: 2.1699266434, other_time: 45.6177978516
epoch time: 88.2933807373s, input_fired_time: 2.4521625042, output_fired_time: 0.0000000000, propagate_forward_time: 78.2361373901, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.6050796509
validation[          , genome  5337] predictions:    6056/  10000 (60.56%), best:    6127/10000 (61.27%), error:     11992.49023, best error:     11808.40527 on epoch:    89, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 1187.5549316406s, input_fired_time: 17.5840358734, output_fired_time: 14.2697143555, propagate_forward_time: 416.4530944824, propagate_backward_time: 694.5880126953, weight_update_time: 2.1428508759, other_time: 44.6600341797
epoch time: 90.2250671387s, input_fired_time: 2.4421350956, output_fired_time: 0.0000000000, propagate_forward_time: 80.3197479248, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.4631805420
validation[          , genome  5337] predictions:    6074/  10000 (60.74%), best:    6127/10000 (61.27%), error:     12002.30859, best error:     11808.40527 on epoch:    89, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 1187.6706542969s, input_fired_time: 17.4052677155, output_fired_time: 14.0851430893, propagate_forward_time: 415.6732177734, propagate_backward_time: 695.8510131836, weight_update_time: 2.1414158344, other_time: 44.6560668945
epoch time: 90.3018341064s, input_fired_time: 2.5120360851, output_fired_time: 0.0000000000, propagate_forward_time: 79.5280685425, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2617263794
validation[          , genome  5337] predictions:    6077/  10000 (60.77%), best:    6127/10000 (61.27%), error:     11890.41602, best error:     11808.40527 on epoch:    89, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 1128.9145507813s, input_fired_time: 17.1969833374, output_fired_time: 13.8947114944, propagate_forward_time: 392.3800048828, propagate_backward_time: 662.9721069336, weight_update_time: 2.0786738396, other_time: 42.4707641602
epoch time: 92.7188262939s, input_fired_time: 2.6847126484, output_fired_time: 0.0000000000, propagate_forward_time: 81.1955032349, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.8386077881
validation[          , genome  5337] predictions:    5931/  10000 (59.31%), best:    6127/10000 (61.27%), error:     12330.15234, best error:     11808.40527 on epoch:    89, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 1113.7794189453s, input_fired_time: 17.0657539368, output_fired_time: 13.8377332687, propagate_forward_time: 386.4217224121, propagate_backward_time: 654.5407714844, weight_update_time: 2.0439071655, other_time: 41.9133300781
epoch time: 91.8708724976s, input_fired_time: 2.7105085850, output_fired_time: 0.0000000000, propagate_forward_time: 80.5080337524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6523284912
validation[          , genome  5337] predictions:    6104/  10000 (61.04%), best:    6127/10000 (61.27%), error:     11910.03809, best error:     11808.40527 on epoch:    89, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 1111.1252441406s, input_fired_time: 16.8522434235, output_fired_time: 13.6752014160, propagate_forward_time: 384.8193359375, propagate_backward_time: 653.9296264648, weight_update_time: 2.0589761734, other_time: 41.8488159180
epoch time: 84.9364013672s, input_fired_time: 2.3922982216, output_fired_time: 0.0000000000, propagate_forward_time: 75.4992980957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0448074341
validation[          , genome  5337] predictions:    6080/  10000 (60.80%), best:    6127/10000 (61.27%), error:     11958.34570, best error:     11808.40527 on epoch:    89, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 1110.8320312500s, input_fired_time: 16.7882537842, output_fired_time: 13.6313810349, propagate_forward_time: 386.8303527832, propagate_backward_time: 651.7229003906, weight_update_time: 2.0589957237, other_time: 41.8592529297
epoch time: 87.6784667969s, input_fired_time: 2.4675171375, output_fired_time: 0.0000000000, propagate_forward_time: 77.0814361572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1295166016
validation[          , genome  5337] predictions:    6129/  10000 (61.29%), best:    6127/10000 (61.27%), error:     11834.03711, best error:     11808.40527 on epoch:    89, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 1126.7270507813s, input_fired_time: 17.1004676819, output_fired_time: 13.8804845810, propagate_forward_time: 391.0703430176, propagate_backward_time: 660.8989868164, weight_update_time: 2.0958566666, other_time: 43.7767944336
epoch time: 90.3485641479s, input_fired_time: 2.5593626499, output_fired_time: 0.0000000000, propagate_forward_time: 79.4112396240, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.3779602051
validation[          , genome  5337] predictions:    6120/  10000 (61.20%), best:    6127/10000 (61.27%), error:     11857.83008, best error:     11808.40527 on epoch:    89, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 1102.1413574219s, input_fired_time: 17.0169906616, output_fired_time: 13.6023426056, propagate_forward_time: 385.2473449707, propagate_backward_time: 644.7631225586, weight_update_time: 2.0469303131, other_time: 41.5116577148
epoch time: 89.9522781372s, input_fired_time: 2.5522124767, output_fired_time: 0.0000000000, propagate_forward_time: 78.7498245239, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.6502380371
validation[          , genome  5337] predictions:    6132/  10000 (61.32%), best:    6127/10000 (61.27%), error:     11853.34863, best error:     11808.40527 on epoch:    89, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 1100.3455810547s, input_fired_time: 16.9658374786, output_fired_time: 13.7286653519, propagate_forward_time: 380.4250793457, propagate_backward_time: 646.3864746094, weight_update_time: 2.0703470707, other_time: 42.8395996094
epoch time: 90.4647445679s, input_fired_time: 2.5196793079, output_fired_time: 0.0000000000, propagate_forward_time: 79.8329238892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1121444702
validation[          , genome  5337] predictions:    6128/  10000 (61.28%), best:    6127/10000 (61.27%), error:     11834.49414, best error:     11808.40527 on epoch:    89, 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: 421.9890136719s, input_fired_time: 12.1361255646, output_fired_time: 0.0000000000, propagate_forward_time: 371.6450500488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 38.2078247070
best training[          , genome  5337] predictions:   38783/  50000 (77.57%), best:    6127/10000 (61.27%), error:     33550.82031, best error:     11808.40527 on epoch:    89, 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: 80.3016586304s, input_fired_time: 2.4481160641, output_fired_time: 0.0000000000, propagate_forward_time: 70.6503677368, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2031784058
   testing[          , genome  5337] predictions:    6127/  10000 (61.27%), best:    6127/10000 (61.27%), error:     11808.40527, best error:     11808.40527 on epoch:    89, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
17:10:53 (18568): called boinc_finish(0)

</stderr_txt>
]]>