Nameexact_genome_1542727803_174_6408_0
Workunit4101153
Created20 Nov 2018, 18:11:51 UTC
Sent20 Nov 2018, 18:13:36 UTC
Report deadline13 Jan 2019, 17:08:17 UTC
Received21 Nov 2018, 19:30:37 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87483
Run time19 hours 52 min 15 sec
CPU time19 hours 33 min 50 sec
Validate stateValid
Credit13,488.66
Device peak FLOPS4.23 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size532.36 MB
Peak swap size552.56 MB
Peak disk usage10.92 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408_0_r1357283590_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6408
read normal distribution: '1 0 0'
generator_str: '1579325609'
read generator: 1579325609
read generated_by_map:
1 enable_edge 1
reading 110 nodes.
reading 384 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 0
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 827633543
post shuffle 1: 257566224
epoch time: 1600.08178710938s, input_fired_time: 11.9108743667603, output_fired_time: 10.4432411193848, propagate_forward_time: 629.907531738281, propagate_backward_time: 930.565979003906, weight_update_time: 0.76861983537674, other_time: 17.254150390625
epoch time: 131.560440063477s, input_fired_time: 1.43815243244171, output_fired_time: 0, propagate_forward_time: 126.89372253418, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.22856140136719
validation[          , genome  6408] predictions:    5302/  10000 (53.02%), best:    5302/10000 (53.02%), error:     16384.64453, best error:     16384.64453 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1612.1152343750s, input_fired_time: 11.6994085312, output_fired_time: 10.5422363281, propagate_forward_time: 634.1379394531, propagate_backward_time: 938.2258911133, weight_update_time: 0.7683457732, other_time: 17.5097045898
epoch time: 132.1222839355s, input_fired_time: 1.4034963846, output_fired_time: 0.0000000000, propagate_forward_time: 127.2389297485, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4798507690
validation[          , genome  6408] predictions:    5061/  10000 (50.61%), best:    5302/10000 (53.02%), error:     16517.28906, best error:     16384.64453 on epoch:     0, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1612.7563476563s, input_fired_time: 11.6414194107, output_fired_time: 10.4800233841, propagate_forward_time: 634.5939941406, propagate_backward_time: 937.9819335938, weight_update_time: 0.7690302134, other_time: 18.0589599609
epoch time: 132.1581573486s, input_fired_time: 1.3920112848, output_fired_time: 0.0000000000, propagate_forward_time: 127.2879562378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4781875610
validation[          , genome  6408] predictions:    5288/  10000 (52.88%), best:    5288/10000 (52.88%), error:     15506.20605, best error:     15506.20605 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1619.4287109375s, input_fired_time: 11.5816116333, output_fired_time: 10.5094347000, propagate_forward_time: 637.4116821289, propagate_backward_time: 941.7531738281, weight_update_time: 0.7712439299, other_time: 18.1727905273
epoch time: 131.8671264648s, input_fired_time: 1.3729836941, output_fired_time: 0.0000000000, propagate_forward_time: 127.1349945068, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3591461182
validation[          , genome  6408] predictions:    4971/  10000 (49.71%), best:    5288/10000 (52.88%), error:     16865.71289, best error:     15506.20605 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1619.1379394531s, input_fired_time: 11.5613908768, output_fired_time: 10.5171842575, propagate_forward_time: 637.6909179688, propagate_backward_time: 941.2645263672, weight_update_time: 0.7766197324, other_time: 18.1038818359
epoch time: 131.9897613525s, input_fired_time: 1.3943293095, output_fired_time: 0.0000000000, propagate_forward_time: 127.1781311035, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4172973633
validation[          , genome  6408] predictions:    5145/  10000 (51.45%), best:    5288/10000 (52.88%), error:     15751.95117, best error:     15506.20605 on epoch:     2, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1619.9610595703s, input_fired_time: 11.5357809067, output_fired_time: 10.5031623840, propagate_forward_time: 637.2742309570, propagate_backward_time: 942.3032226563, weight_update_time: 0.7635984421, other_time: 18.3446655273
epoch time: 132.0219573975s, input_fired_time: 1.3863863945, output_fired_time: 0.0000000000, propagate_forward_time: 127.2623138428, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3732604980
validation[          , genome  6408] predictions:    5116/  10000 (51.16%), best:    5288/10000 (52.88%), error:     15984.65918, best error:     15506.20605 on epoch:     2, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1619.5847167969s, input_fired_time: 11.5432167053, output_fired_time: 10.5329284668, propagate_forward_time: 637.3323974609, propagate_backward_time: 941.9098510742, weight_update_time: 0.7794455290, other_time: 18.2662963867
epoch time: 132.0262451172s, input_fired_time: 1.3734980822, output_fired_time: 0.0000000000, propagate_forward_time: 127.1812744141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4714660645
validation[          , genome  6408] predictions:    4897/  10000 (48.97%), best:    5288/10000 (52.88%), error:     16747.59375, best error:     15506.20605 on epoch:     2, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1619.1137695313s, input_fired_time: 11.5339765549, output_fired_time: 10.5123567581, propagate_forward_time: 637.2178955078, propagate_backward_time: 941.5690307617, weight_update_time: 0.7673958540, other_time: 18.2805786133
epoch time: 132.1046905518s, input_fired_time: 1.3999990225, output_fired_time: 0.0000000000, propagate_forward_time: 127.4441833496, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2605133057
validation[          , genome  6408] predictions:    5317/  10000 (53.17%), best:    5317/10000 (53.17%), error:     14220.08984, best error:     14220.08984 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1618.3629150391s, input_fired_time: 11.5178623199, output_fired_time: 10.5044813156, propagate_forward_time: 636.7731323242, propagate_backward_time: 941.4633789063, weight_update_time: 0.7811601758, other_time: 18.1040649414
epoch time: 132.1789855957s, input_fired_time: 1.3708858490, output_fired_time: 0.0000000000, propagate_forward_time: 127.3889770508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4191284180
validation[          , genome  6408] predictions:    5025/  10000 (50.25%), best:    5317/10000 (53.17%), error:     16646.11328, best error:     14220.08984 on epoch:     7, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1620.2487792969s, input_fired_time: 11.6270961761, output_fired_time: 10.5132589340, propagate_forward_time: 637.7583007813, propagate_backward_time: 942.3488769531, weight_update_time: 0.7710670233, other_time: 18.0012207031
epoch time: 132.7521209717s, input_fired_time: 1.3830523491, output_fired_time: 0.0000000000, propagate_forward_time: 127.9245223999, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4445419312
validation[          , genome  6408] predictions:    5575/  10000 (55.75%), best:    5575/10000 (55.75%), error:     13876.75977, best error:     13876.75977 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1499.8591308594s, input_fired_time: 10.9567947388, output_fired_time: 9.7237453461, propagate_forward_time: 583.6491088867, propagate_backward_time: 877.4259643555, weight_update_time: 0.7268110514, other_time: 18.1035156250
epoch time: 119.3079681396s, input_fired_time: 1.2985296249, output_fired_time: 0.0000000000, propagate_forward_time: 114.6367721558, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3726654053
validation[          , genome  6408] predictions:    5223/  10000 (52.23%), best:    5575/10000 (55.75%), error:     14546.53613, best error:     13876.75977 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1484.9282226563s, input_fired_time: 10.8879947662, output_fired_time: 9.5999422073, propagate_forward_time: 575.4336547852, propagate_backward_time: 870.9539794922, weight_update_time: 0.7229651809, other_time: 18.0526733398
epoch time: 119.9105682373s, input_fired_time: 1.2963421345, output_fired_time: 0.0000000000, propagate_forward_time: 115.1774673462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4367599487
validation[          , genome  6408] predictions:    5134/  10000 (51.34%), best:    5575/10000 (55.75%), error:     15326.52344, best error:     13876.75977 on epoch:     9, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1488.8299560547s, input_fired_time: 10.9319963455, output_fired_time: 9.6895570755, propagate_forward_time: 577.7847900391, propagate_backward_time: 872.2382202148, weight_update_time: 0.7241954207, other_time: 18.1853637695
epoch time: 119.6840667725s, input_fired_time: 1.2896465063, output_fired_time: 0.0000000000, propagate_forward_time: 114.9609069824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4335098267
validation[          , genome  6408] predictions:    5341/  10000 (53.41%), best:    5575/10000 (55.75%), error:     14592.18262, best error:     13876.75977 on epoch:     9, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1486.3240966797s, input_fired_time: 10.9096422195, output_fired_time: 9.6565837860, propagate_forward_time: 577.0574951172, propagate_backward_time: 870.5540161133, weight_update_time: 0.7272451520, other_time: 18.1463012695
epoch time: 120.5513153076s, input_fired_time: 1.3122518063, output_fired_time: 0.0000000000, propagate_forward_time: 115.8799514771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3591156006
validation[          , genome  6408] predictions:    5365/  10000 (53.65%), best:    5575/10000 (55.75%), error:     14299.94531, best error:     13876.75977 on epoch:     9, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1419.1212158203s, input_fired_time: 10.6303329468, output_fired_time: 9.1945810318, propagate_forward_time: 546.4255981445, propagate_backward_time: 834.4707641602, weight_update_time: 0.7051452994, other_time: 18.3999023438
epoch time: 111.4716033936s, input_fired_time: 1.2554355860, output_fired_time: 0.0000000000, propagate_forward_time: 106.7575607300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4586105347
validation[          , genome  6408] predictions:    5526/  10000 (55.26%), best:    5526/10000 (55.26%), error:     13862.81934, best error:     13862.81934 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1377.3995361328s, input_fired_time: 10.4553442001, output_fired_time: 8.9566469193, propagate_forward_time: 526.7172241211, propagate_backward_time: 812.9650878906, weight_update_time: 0.6894088984, other_time: 18.3052368164
epoch time: 100.7471313477s, input_fired_time: 1.1841470003, output_fired_time: 0.0000000000, propagate_forward_time: 95.9799880981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5829925537
validation[          , genome  6408] predictions:    5378/  10000 (53.78%), best:    5526/10000 (55.26%), error:     14341.61230, best error:     13862.81934 on epoch:    14, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

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_1542727803_174_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408_0_r1357283590_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: 0.774338
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00550158
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000220063
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: 16
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5526
read best_validation_error: 13862.8
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: 6408
read normal distribution: '1 0 0'
generator_str: '80508397'
read generator: 80508397
read generated_by_map:
1 enable_edge 1
reading 110 nodes.
reading 384 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: 1272.13891601563s, input_fired_time: 9.97714710235596, output_fired_time: 8.27090358734131, propagate_forward_time: 475.441497802734, propagate_backward_time: 754.300964355469, weight_update_time: 0.664806485176086, other_time: 24.1483764648438
epoch time: 102.315353393555s, input_fired_time: 1.19526946544647, output_fired_time: 0, propagate_forward_time: 98.038200378418, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.08188629150391
validation[          , genome  6408] predictions:    5444/  10000 (54.44%), best:    5444/10000 (54.44%), error:     13855.95605, best error:     13855.95605 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1281.4533691406s, input_fired_time: 10.1304988861, output_fired_time: 8.2767620087, propagate_forward_time: 489.4319763184, propagate_backward_time: 757.3626098633, weight_update_time: 0.6628537774, other_time: 16.2515258789
epoch time: 106.6343078613s, input_fired_time: 1.2145590782, output_fired_time: 0.0000000000, propagate_forward_time: 102.3562240601, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0635223389
validation[          , genome  6408] predictions:    5514/  10000 (55.14%), best:    5444/10000 (54.44%), error:     13989.60156, best error:     13855.95605 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1311.0513916016s, input_fired_time: 10.2252311707, output_fired_time: 8.4766807556, propagate_forward_time: 510.6229248047, propagate_backward_time: 765.0709228516, weight_update_time: 0.6868729591, other_time: 16.6556396484
epoch time: 106.4085464478s, input_fired_time: 1.2074036598, output_fired_time: 0.0000000000, propagate_forward_time: 102.0747070313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1264343262
validation[          , genome  6408] predictions:    5618/  10000 (56.18%), best:    5618/10000 (56.18%), error:     13747.54199, best error:     13747.54199 on epoch:    18, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1331.7384033203s, input_fired_time: 10.3679962158, output_fired_time: 8.6026220322, propagate_forward_time: 519.1689453125, propagate_backward_time: 777.1926269531, weight_update_time: 0.6865443587, other_time: 16.4061279297
epoch time: 110.0427246094s, input_fired_time: 1.2757445574, output_fired_time: 0.0000000000, propagate_forward_time: 105.8290176392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9379653931
validation[          , genome  6408] predictions:    5527/  10000 (55.27%), best:    5618/10000 (56.18%), error:     14147.54395, best error:     13747.54199 on epoch:    18, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1417.7391357422s, input_fired_time: 10.8851022720, output_fired_time: 9.2513599396, propagate_forward_time: 551.9467163086, propagate_backward_time: 829.8074340820, weight_update_time: 0.7233447433, other_time: 15.8485107422
epoch time: 122.1663665771s, input_fired_time: 1.3683650494, output_fired_time: 0.0000000000, propagate_forward_time: 117.9813461304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8166580200
validation[          , genome  6408] predictions:    5593/  10000 (55.93%), best:    5593/10000 (55.93%), error:     13615.38281, best error:     13615.38281 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1347.4501953125s, input_fired_time: 10.4875907898, output_fired_time: 8.7569932938, propagate_forward_time: 516.2195434570, propagate_backward_time: 795.8951416016, weight_update_time: 0.6976560354, other_time: 16.0910034180
epoch time: 101.1479721069s, input_fired_time: 1.2074276209, output_fired_time: 0.0000000000, propagate_forward_time: 96.9767074585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9638366699
validation[          , genome  6408] predictions:    5383/  10000 (53.83%), best:    5593/10000 (55.93%), error:     14839.49219, best error:     13615.38281 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1271.3299560547s, input_fired_time: 10.1133003235, output_fired_time: 8.3559656143, propagate_forward_time: 481.9311218262, propagate_backward_time: 754.6851196289, weight_update_time: 0.6525107622, other_time: 16.2444458008
epoch time: 99.5400085449s, input_fired_time: 1.1779898405, output_fired_time: 0.0000000000, propagate_forward_time: 95.2441711426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1178512573
validation[          , genome  6408] predictions:    5415/  10000 (54.15%), best:    5593/10000 (55.93%), error:     13642.29785, best error:     13615.38281 on epoch:    20, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1283.7697753906s, input_fired_time: 10.2332677841, output_fired_time: 8.3266429901, propagate_forward_time: 492.3056335449, propagate_backward_time: 756.4953002930, weight_update_time: 0.6670724750, other_time: 16.4088745117
epoch time: 104.4115982056s, input_fired_time: 1.2404954433, output_fired_time: 0.0000000000, propagate_forward_time: 100.2163543701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9547500610
validation[          , genome  6408] predictions:    5775/  10000 (57.75%), best:    5775/10000 (57.75%), error:     12797.70020, best error:     12797.70020 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1356.1617431641s, input_fired_time: 10.6286125183, output_fired_time: 8.7683973312, propagate_forward_time: 528.9257202148, propagate_backward_time: 791.5433959961, weight_update_time: 0.7072730064, other_time: 16.2955322266
epoch time: 112.6710739136s, input_fired_time: 1.3059959412, output_fired_time: 0.0000000000, propagate_forward_time: 108.3280563354, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0370254517
validation[          , genome  6408] predictions:    5474/  10000 (54.74%), best:    5775/10000 (57.75%), error:     14270.05273, best error:     12797.70020 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

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_1542727803_174_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408_0_r1357283590_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: 0.854079
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00346737
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000138695
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: 25
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 23
read number_validation_images: 10000
read best_validation_predictions: 5775
read best_validation_error: 12797.7
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: 6408
read normal distribution: '1 0 0'
generator_str: '762069987'
read generator: 762069987
read generated_by_map:
1 enable_edge 1
reading 110 nodes.
reading 384 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: 1367.18603515625s, input_fired_time: 10.6121654510498, output_fired_time: 8.91028499603271, propagate_forward_time: 519.450805664063, propagate_backward_time: 803.301818847656, weight_update_time: 0.711151480674744, other_time: 24.9109497070313
epoch time: 118.485992431641s, input_fired_time: 1.33940017223358, output_fired_time: 0, propagate_forward_time: 112.773338317871, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.37325286865234
validation[          , genome  6408] predictions:    5512/  10000 (55.12%), best:    5775/10000 (57.75%), error:     14116.47070, best error:     12797.70020 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 1321.5179443359s, input_fired_time: 10.4051570892, output_fired_time: 8.5872230530, propagate_forward_time: 504.1349792480, propagate_backward_time: 783.0401000977, weight_update_time: 0.6981471777, other_time: 15.3504028320
epoch time: 103.2241744995s, input_fired_time: 1.2177941799, output_fired_time: 0.0000000000, propagate_forward_time: 99.1850891113, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8212890625
validation[          , genome  6408] predictions:    5515/  10000 (55.15%), best:    5775/10000 (57.75%), error:     13811.91992, best error:     12797.70020 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1323.1964111328s, input_fired_time: 10.4402370453, output_fired_time: 8.6356935501, propagate_forward_time: 505.7906494141, propagate_backward_time: 782.9534912109, weight_update_time: 0.7033277750, other_time: 15.3763427734
epoch time: 125.8118438721s, input_fired_time: 1.3949769735, output_fired_time: 0.0000000000, propagate_forward_time: 121.8510055542, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5658645630
validation[          , genome  6408] predictions:    5705/  10000 (57.05%), best:    5775/10000 (57.75%), error:     13325.60547, best error:     12797.70020 on epoch:    23, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1256.4711914063s, input_fired_time: 10.2043256760, output_fired_time: 8.1885490417, propagate_forward_time: 477.4186706543, propagate_backward_time: 745.3286743164, weight_update_time: 0.6672059894, other_time: 15.3308715820
epoch time: 78.7324371338s, input_fired_time: 1.0682965517, output_fired_time: 0.0000000000, propagate_forward_time: 74.8007736206, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8633651733
validation[          , genome  6408] predictions:    5882/  10000 (58.82%), best:    5882/10000 (58.82%), error:     12776.34570, best error:     12776.34570 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1095.9257812500s, input_fired_time: 9.5086879730, output_fired_time: 7.1411337852, propagate_forward_time: 408.1240234375, propagate_backward_time: 655.6206665039, weight_update_time: 0.6206959486, other_time: 15.5313110352
epoch time: 93.5559310913s, input_fired_time: 1.1745821238, output_fired_time: 0.0000000000, propagate_forward_time: 89.5897445679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7916030884
validation[          , genome  6408] predictions:    5633/  10000 (56.33%), best:    5882/10000 (58.82%), error:     13406.44531, best error:     12776.34570 on epoch:    28, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 1036.8535156250s, input_fired_time: 9.2189683914, output_fired_time: 6.7600874901, propagate_forward_time: 392.1060485840, propagate_backward_time: 613.5824584961, weight_update_time: 0.5811704397, other_time: 15.1859741211
epoch time: 78.5696640015s, input_fired_time: 1.0681555271, output_fired_time: 0.0000000000, propagate_forward_time: 74.5543823242, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9471282959
validation[          , genome  6408] predictions:    5642/  10000 (56.42%), best:    5882/10000 (58.82%), error:     13624.98242, best error:     12776.34570 on epoch:    28, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 1115.5117187500s, input_fired_time: 9.6299190521, output_fired_time: 7.2951130867, propagate_forward_time: 420.5937805176, propagate_backward_time: 662.4971923828, weight_update_time: 0.6364516020, other_time: 15.4957275391
epoch time: 81.4147872925s, input_fired_time: 1.0769432783, output_fired_time: 0.0000000000, propagate_forward_time: 77.5043869019, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8334579468
validation[          , genome  6408] predictions:    5780/  10000 (57.80%), best:    5882/10000 (58.82%), error:     12827.64258, best error:     12776.34570 on epoch:    28, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 1431.3714599609s, input_fired_time: 12.5713729858, output_fired_time: 9.4496040344, propagate_forward_time: 540.8715209961, propagate_backward_time: 849.9299926758, weight_update_time: 0.8233025670, other_time: 18.5489501953
epoch time: 201.9147644043s, input_fired_time: 2.6070785522, output_fired_time: 0.0000000000, propagate_forward_time: 194.2604217529, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0472564697
validation[          , genome  6408] predictions:    5906/  10000 (59.06%), best:    5906/10000 (59.06%), error:     12407.34277, best error:     12407.34277 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 1398.1237792969s, input_fired_time: 11.6935167313, output_fired_time: 8.9113616943, propagate_forward_time: 542.8209228516, propagate_backward_time: 816.9952392578, weight_update_time: 0.7212506533, other_time: 17.7027587891
epoch time: 82.1509017944s, input_fired_time: 1.0719320774, output_fired_time: 0.0000000000, propagate_forward_time: 78.1823730469, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8965988159
validation[          , genome  6408] predictions:    5872/  10000 (58.72%), best:    5906/10000 (59.06%), error:     12708.89844, best error:     12407.34277 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 1049.2840576172s, input_fired_time: 9.2801704407, output_fired_time: 6.7747874260, propagate_forward_time: 399.1017150879, propagate_backward_time: 618.5401611328, weight_update_time: 0.5761385560, other_time: 15.5872802734
epoch time: 83.5689163208s, input_fired_time: 1.0912809372, output_fired_time: 0.0000000000, propagate_forward_time: 79.5086822510, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9689559937
validation[          , genome  6408] predictions:    5943/  10000 (59.43%), best:    5906/10000 (59.06%), error:     12477.31055, best error:     12407.34277 on epoch:    32, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1034.4871826172s, input_fired_time: 9.1644878387, output_fired_time: 6.5489230156, propagate_forward_time: 399.0759582520, propagate_backward_time: 603.7320556641, weight_update_time: 0.5500029922, other_time: 15.9658203125
epoch time: 81.1703872681s, input_fired_time: 1.0602700710, output_fired_time: 0.0000000000, propagate_forward_time: 77.0442428589, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0658721924
validation[          , genome  6408] predictions:    5843/  10000 (58.43%), best:    5906/10000 (59.06%), error:     12519.30859, best error:     12407.34277 on epoch:    32, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 1021.6686401367s, input_fired_time: 9.1392917633, output_fired_time: 6.5257358551, propagate_forward_time: 393.5535278320, propagate_backward_time: 596.3023071289, weight_update_time: 0.5493798256, other_time: 16.1477661133
epoch time: 81.1257171631s, input_fired_time: 1.0447990894, output_fired_time: 0.0000000000, propagate_forward_time: 76.9718246460, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1090927124
validation[          , genome  6408] predictions:    5670/  10000 (56.70%), best:    5906/10000 (59.06%), error:     13768.57227, best error:     12407.34277 on epoch:    32, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 903.3185424805s, input_fired_time: 8.6352262497, output_fired_time: 5.7468352318, propagate_forward_time: 343.9174804688, propagate_backward_time: 528.6165771484, weight_update_time: 0.5038723350, other_time: 16.4024047852
epoch time: 68.9260635376s, input_fired_time: 0.9757679105, output_fired_time: 0.0000000000, propagate_forward_time: 64.7759323120, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1743621826
validation[          , genome  6408] predictions:    5913/  10000 (59.13%), best:    5906/10000 (59.06%), error:     12768.09863, best error:     12407.34277 on epoch:    32, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

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_1542727803_174_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408_0_r1357283590_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: 0.920226
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00177995
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.11978e-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: 38
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 32
read number_validation_images: 10000
read best_validation_predictions: 5906
read best_validation_error: 12407.3
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: 6408
read normal distribution: '1 0 0'
generator_str: '1822555866'
read generator: 1822555866
read generated_by_map:
1 enable_edge 1
reading 110 nodes.
reading 384 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: 1569.46325683594s, input_fired_time: 12.3594255447388, output_fired_time: 10.4920463562012, propagate_forward_time: 621.647705078125, propagate_backward_time: 909.776062011719, weight_update_time: 0.844956994056702, other_time: 15.1880493164063
epoch time: 128.223358154297s, input_fired_time: 1.47904884815216, output_fired_time: 0, propagate_forward_time: 123.96475982666, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.77954864501953
validation[          , genome  6408] predictions:    5775/  10000 (57.75%), best:    5906/10000 (59.06%), error:     12998.70117, best error:     12407.34277 on epoch:    32, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 1564.4224853516s, input_fired_time: 12.1260185242, output_fired_time: 10.3676004410, propagate_forward_time: 621.0773315430, propagate_backward_time: 905.7875366211, weight_update_time: 0.8030952811, other_time: 15.0640869141
epoch time: 120.7364120483s, input_fired_time: 1.3937412500, output_fired_time: 0.0000000000, propagate_forward_time: 116.4797210693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8629531860
validation[          , genome  6408] predictions:    5839/  10000 (58.39%), best:    5906/10000 (59.06%), error:     12839.63672, best error:     12407.34277 on epoch:    32, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

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_1542727803_174_6408.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6408_0_r1357283590_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: 0.927029
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0016064
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.4256e-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: 40
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 32
read number_validation_images: 10000
read best_validation_predictions: 5906
read best_validation_error: 12407.3
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: 6408
read normal distribution: '1 0 0'
generator_str: '869171489'
read generator: 869171489
read generated_by_map:
1 enable_edge 1
reading 110 nodes.
reading 384 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: 1393.51989746094s, input_fired_time: 11.1563110351563, output_fired_time: 9.21861362457275, propagate_forward_time: 550.559936523438, propagate_backward_time: 806.08984375, weight_update_time: 0.778674125671387, other_time: 16.4951171875
epoch time: 113.726196289063s, input_fired_time: 1.36232876777649, output_fired_time: 0, propagate_forward_time: 109.246978759766, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.11688995361328
validation[          , genome  6408] predictions:    5868/  10000 (58.68%), best:    5906/10000 (59.06%), error:     12589.17871, best error:     12407.34277 on epoch:    32, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 1207.7377929688s, input_fired_time: 10.1954355240, output_fired_time: 7.9054470062, propagate_forward_time: 467.7132873535, propagate_backward_time: 704.7823486328, weight_update_time: 0.7045516968, other_time: 17.1413574219
epoch time: 94.7557678223s, input_fired_time: 1.2229300737, output_fired_time: 0.0000000000, propagate_forward_time: 90.3067932129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2260437012
validation[          , genome  6408] predictions:    6004/  10000 (60.04%), best:    6004/10000 (60.04%), error:     12232.32617, best error:     12232.32617 on epoch:    41, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1027.0152587891s, input_fired_time: 9.3829374313, output_fired_time: 6.7334036827, propagate_forward_time: 391.4388732910, propagate_backward_time: 602.0094604492, weight_update_time: 0.6266802549, other_time: 17.4506225586
epoch time: 70.5494232178s, input_fired_time: 1.0290811062, output_fired_time: 0.0000000000, propagate_forward_time: 66.1928405762, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3274993896
validation[          , genome  6408] predictions:    5984/  10000 (59.84%), best:    6004/10000 (60.04%), error:     12394.26465, best error:     12232.32617 on epoch:    41, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 900.5150756836s, input_fired_time: 8.7552013397, output_fired_time: 5.8835086823, propagate_forward_time: 335.6232910156, propagate_backward_time: 532.0214843750, weight_update_time: 0.5769995451, other_time: 18.2316284180
epoch time: 67.0573501587s, input_fired_time: 1.0031504631, output_fired_time: 0.0000000000, propagate_forward_time: 62.4739189148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5802803040
validation[          , genome  6408] predictions:    6087/  10000 (60.87%), best:    6087/10000 (60.87%), error:     12194.71289, best error:     12194.71289 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 861.4821777344s, input_fired_time: 8.5962467194, output_fired_time: 5.6352095604, propagate_forward_time: 318.0994873047, propagate_backward_time: 510.1946411133, weight_update_time: 0.5535180569, other_time: 18.9566040039
epoch time: 67.0736618042s, input_fired_time: 1.0095908642, output_fired_time: 0.0000000000, propagate_forward_time: 62.4756584167, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5884132385
validation[          , genome  6408] predictions:    5943/  10000 (59.43%), best:    6087/10000 (60.87%), error:     12533.58789, best error:     12194.71289 on epoch:    43, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 855.1810913086s, input_fired_time: 8.5745382309, output_fired_time: 5.5766439438, propagate_forward_time: 315.9056396484, propagate_backward_time: 506.2260131836, weight_update_time: 0.5467936397, other_time: 18.8982543945
epoch time: 67.6264801025s, input_fired_time: 1.0055416822, output_fired_time: 0.0000000000, propagate_forward_time: 63.0362091064, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5847320557
validation[          , genome  6408] predictions:    5864/  10000 (58.64%), best:    6087/10000 (60.87%), error:     12835.90625, best error:     12194.71289 on epoch:    43, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 859.6821289063s, input_fired_time: 8.5940999985, output_fired_time: 5.5597968102, propagate_forward_time: 320.0838928223, propagate_backward_time: 506.5016479492, weight_update_time: 0.5519492030, other_time: 18.9426879883
epoch time: 68.0065155029s, input_fired_time: 1.0104790926, output_fired_time: 0.0000000000, propagate_forward_time: 63.3010520935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6949806213
validation[          , genome  6408] predictions:    5873/  10000 (58.73%), best:    6087/10000 (60.87%), error:     12982.02930, best error:     12194.71289 on epoch:    43, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 850.9932861328s, input_fired_time: 8.5650482178, output_fired_time: 5.5171179771, propagate_forward_time: 314.9535217285, propagate_backward_time: 502.3392028809, weight_update_time: 0.5427258611, other_time: 19.6184387207
epoch time: 65.1421890259s, input_fired_time: 0.9949745536, output_fired_time: 0.0000000000, propagate_forward_time: 60.2784919739, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8687248230
validation[          , genome  6408] predictions:    5984/  10000 (59.84%), best:    6087/10000 (60.87%), error:     12578.31348, best error:     12194.71289 on epoch:    43, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 844.9990844727s, input_fired_time: 8.5624017715, output_fired_time: 5.4668617249, propagate_forward_time: 311.4765319824, propagate_backward_time: 499.5262756348, weight_update_time: 0.5369030237, other_time: 19.9670104980
epoch time: 66.9405136108s, input_fired_time: 1.0112416744, output_fired_time: 0.0000000000, propagate_forward_time: 61.9990081787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9302673340
validation[          , genome  6408] predictions:    5994/  10000 (59.94%), best:    6087/10000 (60.87%), error:     12285.48340, best error:     12194.71289 on epoch:    43, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 846.5312500000s, input_fired_time: 8.5413980484, output_fired_time: 5.4398174286, propagate_forward_time: 314.0454101563, propagate_backward_time: 498.0880737305, weight_update_time: 0.5282381773, other_time: 20.4165649414
epoch time: 67.7257003784s, input_fired_time: 0.9991216063, output_fired_time: 0.0000000000, propagate_forward_time: 62.7389144897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9876632690
validation[          , genome  6408] predictions:    5899/  10000 (58.99%), best:    6087/10000 (60.87%), error:     12657.66113, best error:     12194.71289 on epoch:    43, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 844.1557617188s, input_fired_time: 8.5281305313, output_fired_time: 5.3992538452, propagate_forward_time: 313.8343505859, propagate_backward_time: 495.9230346680, weight_update_time: 0.5224859118, other_time: 20.4710083008
epoch time: 67.8856964111s, input_fired_time: 0.9951849580, output_fired_time: 0.0000000000, propagate_forward_time: 62.9397888184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9507217407
validation[          , genome  6408] predictions:    5933/  10000 (59.33%), best:    6087/10000 (60.87%), error:     12538.04395, best error:     12194.71289 on epoch:    43, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 332.9469604492s, input_fired_time: 4.9220027924, output_fired_time: 0.0000000000, propagate_forward_time: 308.0931091309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 19.9318542480
best training[          , genome  6408] predictions:   36353/  50000 (72.71%), best:    6087/10000 (60.87%), error:     39528.82422, best error:     12194.71289 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 66.4757766724s, input_fired_time: 0.9833650589, output_fired_time: 0.0000000000, propagate_forward_time: 61.4234237671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0689849854
   testing[          , genome  6408] predictions:    6087/  10000 (60.87%), best:    6087/10000 (60.87%), error:     12194.71289, best error:     12194.71289 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
23:29:51 (19084): called boinc_finish(0)

</stderr_txt>
]]>