Nameexact_genome_1542727803_174_6409_0
Workunit4101154
Created20 Nov 2018, 18:11:51 UTC
Sent20 Nov 2018, 18:13:36 UTC
Report deadline6 Jan 2019, 3:13:29 UTC
Received21 Nov 2018, 18:28:20 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87483
Run time17 hours 26 min 45 sec
CPU time17 hours 9 min 39 sec
Validate stateValid
Credit11,593.73
Device peak FLOPS4.23 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size527.46 MB
Peak swap size547.45 MB
Peak disk usage9.97 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_6409.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409_0_r261231156_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409.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: 6409
read normal distribution: '1 0 0'
generator_str: '1189808797'
read generator: 1189808797
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 346 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: 1896213962
post shuffle 1: 965239499
epoch time: 1396.6865234375s, input_fired_time: 10.7418584823608, output_fired_time: 9.47540187835693, propagate_forward_time: 548.874572753906, propagate_backward_time: 811.378173828125, weight_update_time: 0.709109663963318, other_time: 16.2166137695313
epoch time: 114.133010864258s, input_fired_time: 1.29991126060486, output_fired_time: 0, propagate_forward_time: 109.825241088867, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.00785827636719
validation[          , genome  6409] predictions:    5003/  10000 (50.03%), best:    5003/10000 (50.03%), error:     17417.10352, best error:     17417.10352 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1396.8206787109s, input_fired_time: 10.6474132538, output_fired_time: 9.4803323746, propagate_forward_time: 549.1098022461, propagate_backward_time: 811.0547485352, weight_update_time: 0.7200635076, other_time: 16.5283203125
epoch time: 114.3621368408s, input_fired_time: 1.2960059643, output_fired_time: 0.0000000000, propagate_forward_time: 109.9739456177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0921859741
validation[          , genome  6409] predictions:    5113/  10000 (51.13%), best:    5113/10000 (51.13%), error:     17311.81445, best error:     17311.81445 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1396.8808593750s, input_fired_time: 10.5646677017, output_fired_time: 9.4764528275, propagate_forward_time: 548.8657836914, propagate_backward_time: 811.4142456055, weight_update_time: 0.7122789025, other_time: 16.5596923828
epoch time: 114.0496597290s, input_fired_time: 1.2503674030, output_fired_time: 0.0000000000, propagate_forward_time: 109.6656036377, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1336898804
validation[          , genome  6409] predictions:    4833/  10000 (48.33%), best:    4833/10000 (48.33%), error:     17150.61328, best error:     17150.61328 on epoch:     2, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1397.1934814453s, input_fired_time: 10.4469890594, output_fired_time: 9.4577379227, propagate_forward_time: 549.2239379883, propagate_backward_time: 811.6188354492, weight_update_time: 0.7260439396, other_time: 16.4459228516
epoch time: 114.0787200928s, input_fired_time: 1.2404024601, output_fired_time: 0.0000000000, propagate_forward_time: 109.7386779785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0996398926
validation[          , genome  6409] predictions:    4832/  10000 (48.32%), best:    4833/10000 (48.33%), error:     17177.03906, best error:     17150.61328 on epoch:     2, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1395.7565917969s, input_fired_time: 10.4216184616, output_fired_time: 9.4556665421, propagate_forward_time: 548.9667358398, propagate_backward_time: 810.5180664063, weight_update_time: 0.7114762068, other_time: 16.3944702148
epoch time: 114.3150177002s, input_fired_time: 1.2495783567, output_fired_time: 0.0000000000, propagate_forward_time: 109.9079589844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1574783325
validation[          , genome  6409] predictions:    4753/  10000 (47.53%), best:    4753/10000 (47.53%), error:     17115.29688, best error:     17115.29688 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1395.6793212891s, input_fired_time: 10.4072589874, output_fired_time: 9.4551954269, propagate_forward_time: 548.7388305664, propagate_backward_time: 810.7893676758, weight_update_time: 0.7087742686, other_time: 16.2886962891
epoch time: 114.3087387085s, input_fired_time: 1.2812205553, output_fired_time: 0.0000000000, propagate_forward_time: 109.9620971680, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0654220581
validation[          , genome  6409] predictions:    5111/  10000 (51.11%), best:    5111/10000 (51.11%), error:     15533.29883, best error:     15533.29883 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1396.8056640625s, input_fired_time: 10.3918838501, output_fired_time: 9.4778261185, propagate_forward_time: 548.8139038086, propagate_backward_time: 811.5760498047, weight_update_time: 0.7397164702, other_time: 16.5460815430
epoch time: 113.8002853394s, input_fired_time: 1.2598270178, output_fired_time: 0.0000000000, propagate_forward_time: 109.4350814819, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1053771973
validation[          , genome  6409] predictions:    5361/  10000 (53.61%), best:    5361/10000 (53.61%), error:     14600.40430, best error:     14600.40430 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1395.4956054688s, input_fired_time: 10.4046812057, output_fired_time: 9.4153385162, propagate_forward_time: 548.6625976563, propagate_backward_time: 810.6031494141, weight_update_time: 0.7065578103, other_time: 16.4099121094
epoch time: 114.0265884399s, input_fired_time: 1.2433674335, output_fired_time: 0.0000000000, propagate_forward_time: 109.6460037231, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1372146606
validation[          , genome  6409] predictions:    5231/  10000 (52.31%), best:    5361/10000 (53.61%), error:     15095.41797, best error:     14600.40430 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1383.0853271484s, input_fired_time: 10.4036245346, output_fired_time: 9.3578119278, propagate_forward_time: 542.7299194336, propagate_backward_time: 804.1443481445, weight_update_time: 0.7083685994, other_time: 16.4497070313
epoch time: 103.9368667603s, input_fired_time: 1.1757445335, output_fired_time: 0.0000000000, propagate_forward_time: 99.7382507324, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0228729248
validation[          , genome  6409] predictions:    5252/  10000 (52.52%), best:    5361/10000 (53.61%), error:     15077.02441, best error:     14600.40430 on epoch:     6, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 1283.0021972656s, input_fired_time: 9.8429069519, output_fired_time: 8.6683769226, propagate_forward_time: 497.3114318848, propagate_backward_time: 750.9791259766, weight_update_time: 0.6760884523, other_time: 16.2004394531
epoch time: 102.6580581665s, input_fired_time: 1.1573983431, output_fired_time: 0.0000000000, propagate_forward_time: 98.4562149048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0444412231
validation[          , genome  6409] predictions:    5224/  10000 (52.24%), best:    5224/10000 (52.24%), error:     14574.14746, best error:     14574.14746 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 1281.1523437500s, input_fired_time: 9.8304605484, output_fired_time: 8.6351289749, propagate_forward_time: 497.6626586914, propagate_backward_time: 748.8266601563, weight_update_time: 0.6726551056, other_time: 16.1974487305
epoch time: 103.2890930176s, input_fired_time: 1.1831526756, output_fired_time: 0.0000000000, propagate_forward_time: 99.0274353027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0785064697
validation[          , genome  6409] predictions:    5203/  10000 (52.03%), best:    5224/10000 (52.24%), error:     15203.62402, best error:     14574.14746 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 1280.5084228516s, input_fired_time: 9.8357076645, output_fired_time: 8.6302738190, propagate_forward_time: 496.5506591797, propagate_backward_time: 749.2753906250, weight_update_time: 0.6707322598, other_time: 16.2164306641
epoch time: 103.6911392212s, input_fired_time: 1.1852251291, output_fired_time: 0.0000000000, propagate_forward_time: 99.3347167969, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1711959839
validation[          , genome  6409] predictions:    5375/  10000 (53.75%), best:    5375/10000 (53.75%), error:     13944.15039, best error:     13944.15039 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 1280.7689208984s, input_fired_time: 9.8681945801, output_fired_time: 8.6454076767, propagate_forward_time: 496.9319458008, propagate_backward_time: 749.0111083984, weight_update_time: 0.6677986383, other_time: 16.3123168945
epoch time: 102.3720703125s, input_fired_time: 1.1445792913, output_fired_time: 0.0000000000, propagate_forward_time: 98.1798171997, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0476760864
validation[          , genome  6409] predictions:    5074/  10000 (50.74%), best:    5375/10000 (53.75%), error:     15242.15332, best error:     13944.15039 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 1260.8292236328s, input_fired_time: 9.7521228790, output_fired_time: 8.5551824570, propagate_forward_time: 486.8919982910, propagate_backward_time: 739.1385498047, weight_update_time: 0.6663084030, other_time: 16.4914550781
epoch time: 96.3692626953s, input_fired_time: 1.1372796297, output_fired_time: 0.0000000000, propagate_forward_time: 92.1732177734, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0587615967
validation[          , genome  6409] predictions:    5480/  10000 (54.80%), best:    5480/10000 (54.80%), error:     13802.16309, best error:     13802.16309 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1193.7396240234s, input_fired_time: 9.4574527740, output_fired_time: 8.1614789963, propagate_forward_time: 456.9438476563, propagate_backward_time: 702.8150024414, weight_update_time: 0.6415338516, other_time: 16.3618774414
epoch time: 96.3956375122s, input_fired_time: 1.1201648712, output_fired_time: 0.0000000000, propagate_forward_time: 92.1929244995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0825500488
validation[          , genome  6409] predictions:    5340/  10000 (53.40%), best:    5480/10000 (54.80%), error:     14395.65820, best error:     13802.16309 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

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_6409.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409_0_r261231156_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: 0.762987
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00579114
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000231646
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: 15
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 13
read number_validation_images: 10000
read best_validation_predictions: 5480
read best_validation_error: 13802.2
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: 6409
read normal distribution: '1 0 0'
generator_str: '1757615829'
read generator: 1757615829
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 346 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: 1088.64123535156s, input_fired_time: 8.95969200134277, output_fired_time: 7.38102293014526, propagate_forward_time: 407.613952636719, propagate_backward_time: 643.146850585938, weight_update_time: 0.613934814929962, other_time: 21.5397338867188
epoch time: 86.9255523681641s, input_fired_time: 1.06859135627747, output_fired_time: 0, propagate_forward_time: 83.2236862182617, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.63327789306641
validation[          , genome  6409] predictions:    5403/  10000 (54.03%), best:    5480/10000 (54.80%), error:     14392.13379, best error:     13802.16309 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1086.6427001953s, input_fired_time: 8.9990186691, output_fired_time: 7.3748960495, propagate_forward_time: 411.9182434082, propagate_backward_time: 644.0476684570, weight_update_time: 0.6137567163, other_time: 14.3029174805
epoch time: 91.2635955811s, input_fired_time: 1.0941638947, output_fired_time: 0.0000000000, propagate_forward_time: 87.4379806519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7314529419
validation[          , genome  6409] predictions:    5574/  10000 (55.74%), best:    5574/10000 (55.74%), error:     13495.49707, best error:     13495.49707 on epoch:    16, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1131.8208007813s, input_fired_time: 9.2101211548, output_fired_time: 7.6563596725, propagate_forward_time: 443.6026000977, propagate_backward_time: 656.7786254883, weight_update_time: 0.6282793880, other_time: 14.5731201172
epoch time: 92.1416625977s, input_fired_time: 1.0848674774, output_fired_time: 0.0000000000, propagate_forward_time: 88.3741836548, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6826095581
validation[          , genome  6409] predictions:    5507/  10000 (55.07%), best:    5574/10000 (55.74%), error:     13903.72852, best error:     13495.49707 on epoch:    16, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1133.0251464844s, input_fired_time: 9.2504320145, output_fired_time: 7.6125946045, propagate_forward_time: 445.0588073730, propagate_backward_time: 656.5363769531, weight_update_time: 0.6239890456, other_time: 14.5668945313
epoch time: 91.9183273315s, input_fired_time: 1.1024008989, output_fired_time: 0.0000000000, propagate_forward_time: 88.0426940918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7732315063
validation[          , genome  6409] predictions:    5546/  10000 (55.46%), best:    5574/10000 (55.74%), error:     13775.53516, best error:     13495.49707 on epoch:    16, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1161.3613281250s, input_fired_time: 9.4588384628, output_fired_time: 7.9347162247, propagate_forward_time: 449.0690917969, propagate_backward_time: 680.4726562500, weight_update_time: 0.6525514722, other_time: 14.4260253906
epoch time: 93.3443069458s, input_fired_time: 1.1345056295, output_fired_time: 0.0000000000, propagate_forward_time: 89.5563354492, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6534652710
validation[          , genome  6409] predictions:    5402/  10000 (54.02%), best:    5574/10000 (55.74%), error:     14711.45215, best error:     13495.49707 on epoch:    16, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1261.0358886719s, input_fired_time: 10.0034523010, output_fired_time: 8.6169147491, propagate_forward_time: 494.1886596680, propagate_backward_time: 734.2446289063, weight_update_time: 0.6922866106, other_time: 13.9822387695
epoch time: 106.1351470947s, input_fired_time: 1.2235163450, output_fired_time: 0.0000000000, propagate_forward_time: 102.3990173340, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5126113892
validation[          , genome  6409] predictions:    5400/  10000 (54.00%), best:    5574/10000 (55.74%), error:     14405.34766, best error:     13495.49707 on epoch:    16, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1137.0198974609s, input_fired_time: 9.3289384842, output_fired_time: 7.6831007004, propagate_forward_time: 434.9490966797, propagate_backward_time: 670.7783203125, weight_update_time: 0.6253760457, other_time: 14.2803955078
epoch time: 84.9741134644s, input_fired_time: 1.0768976212, output_fired_time: 0.0000000000, propagate_forward_time: 81.1723861694, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7248306274
validation[          , genome  6409] predictions:    5562/  10000 (55.62%), best:    5562/10000 (55.62%), error:     13454.15625, best error:     13454.15625 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1083.5642089844s, input_fired_time: 9.0764141083, output_fired_time: 7.3972287178, propagate_forward_time: 411.4475402832, propagate_backward_time: 641.2536621094, weight_update_time: 0.6087027788, other_time: 14.3894042969
epoch time: 87.5261917114s, input_fired_time: 1.0823875666, output_fired_time: 0.0000000000, propagate_forward_time: 83.6217269897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8220748901
validation[          , genome  6409] predictions:    5626/  10000 (56.26%), best:    5562/10000 (55.62%), error:     13696.72656, best error:     13454.15625 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1090.0389404297s, input_fired_time: 9.0684156418, output_fired_time: 7.3768033981, propagate_forward_time: 413.2662963867, propagate_backward_time: 645.8007202148, weight_update_time: 0.6012552381, other_time: 14.5267333984
epoch time: 86.2368011475s, input_fired_time: 1.0891760588, output_fired_time: 0.0000000000, propagate_forward_time: 82.4486312866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6989974976
validation[          , genome  6409] predictions:    5693/  10000 (56.93%), best:    5693/10000 (56.93%), error:     13212.33691, best error:     13212.33691 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1162.0465087891s, input_fired_time: 9.4974603653, output_fired_time: 7.9202675819, propagate_forward_time: 449.6267700195, propagate_backward_time: 680.2224731445, weight_update_time: 0.6538324356, other_time: 14.7795410156
epoch time: 93.0947341919s, input_fired_time: 1.1351008415, output_fired_time: 0.0000000000, propagate_forward_time: 89.1373977661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8222351074
validation[          , genome  6409] predictions:    5618/  10000 (56.18%), best:    5693/10000 (56.93%), error:     13717.29297, best error:     13212.33691 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1173.4951171875s, input_fired_time: 9.5984172821, output_fired_time: 7.9528512955, propagate_forward_time: 455.0072326660, propagate_backward_time: 685.7856445313, weight_update_time: 0.6507365108, other_time: 15.1510009766
epoch time: 91.4328079224s, input_fired_time: 1.1286479235, output_fired_time: 0.0000000000, propagate_forward_time: 87.5722198486, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7319412231
validation[          , genome  6409] predictions:    5591/  10000 (55.91%), best:    5693/10000 (56.93%), error:     13555.08496, best error:     13212.33691 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

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_6409.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409_0_r261231156_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: 0.860875
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.003294
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00013176
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: 26
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 23
read number_validation_images: 10000
read best_validation_predictions: 5693
read best_validation_error: 13212.3
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: 6409
read normal distribution: '1 0 0'
generator_str: '1116498082'
read generator: 1116498082
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 346 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: 1168.2021484375s, input_fired_time: 9.50759696960449, output_fired_time: 7.94178867340088, propagate_forward_time: 440.622375488281, propagate_backward_time: 682.782775878906, weight_update_time: 0.656386017799377, other_time: 27.34765625
epoch time: 103.995559692383s, input_fired_time: 1.22864413261414, output_fired_time: 0, propagate_forward_time: 98.992317199707, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.77459716796875
validation[          , genome  6409] predictions:    5648/  10000 (56.48%), best:    5693/10000 (56.93%), error:     13502.21094, best error:     13212.33691 on epoch:    23, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 1171.0168457031s, input_fired_time: 9.5970487595, output_fired_time: 8.0221624374, propagate_forward_time: 450.3024597168, propagate_backward_time: 688.2750854492, weight_update_time: 0.6479884982, other_time: 14.8200073242
epoch time: 89.4663009644s, input_fired_time: 1.1218411922, output_fired_time: 0.0000000000, propagate_forward_time: 85.5338363647, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8106231689
validation[          , genome  6409] predictions:    5663/  10000 (56.63%), best:    5693/10000 (56.93%), error:     13674.72070, best error:     13212.33691 on epoch:    23, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 1138.2158203125s, input_fired_time: 9.4169034958, output_fired_time: 7.8099040985, propagate_forward_time: 435.1901855469, propagate_backward_time: 670.5025634766, weight_update_time: 0.6413168907, other_time: 15.2962646484
epoch time: 90.1660614014s, input_fired_time: 1.1031384468, output_fired_time: 0.0000000000, propagate_forward_time: 86.2371292114, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8257904053
validation[          , genome  6409] predictions:    5660/  10000 (56.60%), best:    5693/10000 (56.93%), error:     13598.95996, best error:     13212.33691 on epoch:    23, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 1200.7374267578s, input_fired_time: 9.8076295853, output_fired_time: 8.1440467834, propagate_forward_time: 462.6351928711, propagate_backward_time: 705.3643798828, weight_update_time: 0.6630397439, other_time: 14.7861938477
epoch time: 88.4795913696s, input_fired_time: 1.1022552252, output_fired_time: 0.0000000000, propagate_forward_time: 84.5949325562, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7824020386
validation[          , genome  6409] predictions:    5504/  10000 (55.04%), best:    5693/10000 (56.93%), error:     13814.74316, best error:     13212.33691 on epoch:    23, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 932.4722900391s, input_fired_time: 8.5021982193, output_fired_time: 6.3746194839, propagate_forward_time: 346.4881286621, propagate_backward_time: 555.9732055664, weight_update_time: 0.5445008874, other_time: 15.1340942383
epoch time: 66.5869903564s, input_fired_time: 0.9506992102, output_fired_time: 0.0000000000, propagate_forward_time: 62.8146858215, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8216056824
validation[          , genome  6409] predictions:    5631/  10000 (56.31%), best:    5631/10000 (56.31%), error:     13207.56348, best error:     13207.56348 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 981.6984252930s, input_fired_time: 8.7688970566, output_fired_time: 6.6556639671, propagate_forward_time: 372.2260437012, propagate_backward_time: 579.1478271484, weight_update_time: 0.5879144669, other_time: 14.9000244141
epoch time: 79.9013519287s, input_fired_time: 1.0256065130, output_fired_time: 0.0000000000, propagate_forward_time: 76.1076049805, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7681427002
validation[          , genome  6409] predictions:    5715/  10000 (57.15%), best:    5631/10000 (56.31%), error:     13331.16992, best error:     13207.56348 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 873.7071533203s, input_fired_time: 8.2303943634, output_fired_time: 5.8589901924, propagate_forward_time: 330.3279724121, propagate_backward_time: 514.4100952148, weight_update_time: 0.5317837596, other_time: 14.8796997070
epoch time: 68.2796783447s, input_fired_time: 0.9698053002, output_fired_time: 0.0000000000, propagate_forward_time: 64.4715499878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8383255005
validation[          , genome  6409] predictions:    5735/  10000 (57.35%), best:    5735/10000 (57.35%), error:     13094.16699, best error:     13094.16699 on epoch:    32, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 975.9808349609s, input_fired_time: 8.7673606873, output_fired_time: 6.5929327011, propagate_forward_time: 370.9027099609, propagate_backward_time: 574.8734130859, weight_update_time: 0.5769890547, other_time: 14.8444213867
epoch time: 70.3323059082s, input_fired_time: 0.9910926223, output_fired_time: 0.0000000000, propagate_forward_time: 66.6026229858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7385940552
validation[          , genome  6409] predictions:    5714/  10000 (57.14%), best:    5735/10000 (57.35%), error:     13463.87402, best error:     13094.16699 on epoch:    32, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 961.9030151367s, input_fired_time: 8.6919097900, output_fired_time: 6.5372629166, propagate_forward_time: 355.7830200195, propagate_backward_time: 575.8079223633, weight_update_time: 0.6803413630, other_time: 15.0828857422
epoch time: 114.7003936768s, input_fired_time: 1.4024237394, output_fired_time: 0.0000000000, propagate_forward_time: 110.0178604126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2801132202
validation[          , genome  6409] predictions:    5931/  10000 (59.31%), best:    5931/10000 (59.31%), error:     12522.79785, best error:     12522.79785 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 1653.1809082031s, input_fired_time: 14.2466716766, output_fired_time: 10.7304773331, propagate_forward_time: 647.3892822266, propagate_backward_time: 960.1766357422, weight_update_time: 0.8165528774, other_time: 20.6378173828
epoch time: 72.7953109741s, input_fired_time: 0.9788573980, output_fired_time: 0.0000000000, propagate_forward_time: 69.0770874023, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7393646240
validation[          , genome  6409] predictions:    5765/  10000 (57.65%), best:    5931/10000 (59.31%), error:     13239.70898, best error:     12522.79785 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 908.5819702148s, input_fired_time: 8.3898782730, output_fired_time: 6.1051716805, propagate_forward_time: 347.0000915527, propagate_backward_time: 532.2621459961, weight_update_time: 0.5301675797, other_time: 14.8246459961
epoch time: 70.3834304810s, input_fired_time: 0.9619259834, output_fired_time: 0.0000000000, propagate_forward_time: 66.6349182129, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7865829468
validation[          , genome  6409] predictions:    5874/  10000 (58.74%), best:    5931/10000 (59.31%), error:     12770.59570, best error:     12522.79785 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 909.1496582031s, input_fired_time: 8.3768835068, output_fired_time: 5.9814438820, propagate_forward_time: 348.1888427734, propagate_backward_time: 531.6182250977, weight_update_time: 0.5284314156, other_time: 14.9842529297
epoch time: 72.9020004272s, input_fired_time: 0.9677529335, output_fired_time: 0.0000000000, propagate_forward_time: 69.0375900269, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8966598511
validation[          , genome  6409] predictions:    5804/  10000 (58.04%), best:    5931/10000 (59.31%), error:     13183.77734, best error:     12522.79785 on epoch:    34, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 887.4532470703s, input_fired_time: 8.2517013550, output_fired_time: 5.8480367661, propagate_forward_time: 342.0383911133, propagate_backward_time: 515.9661865234, weight_update_time: 0.5148931742, other_time: 15.3489379883
epoch time: 73.7521591187s, input_fired_time: 0.9766119719, output_fired_time: 0.0000000000, propagate_forward_time: 69.9429244995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8326263428
validation[          , genome  6409] predictions:    5843/  10000 (58.43%), best:    5931/10000 (59.31%), error:     12951.80176, best error:     12522.79785 on epoch:    34, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 875.6149291992s, input_fired_time: 8.2148799896, output_fired_time: 5.8314080238, propagate_forward_time: 335.2717895508, propagate_backward_time: 510.9442749023, weight_update_time: 0.5080326200, other_time: 15.3525390625
epoch time: 71.2523117065s, input_fired_time: 0.9622161388, output_fired_time: 0.0000000000, propagate_forward_time: 67.3578872681, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9322052002
validation[          , genome  6409] predictions:    5875/  10000 (58.75%), best:    5931/10000 (59.31%), error:     12594.27930, best error:     12522.79785 on epoch:    34, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 767.4849853516s, input_fired_time: 7.7638535500, output_fired_time: 5.0888357162, propagate_forward_time: 289.4873657227, propagate_backward_time: 449.4629516602, weight_update_time: 0.4618684053, other_time: 15.6820068359
epoch time: 60.2276916504s, input_fired_time: 0.8984322548, output_fired_time: 0.0000000000, propagate_forward_time: 56.3554344177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9738235474
validation[          , genome  6409] predictions:    6066/  10000 (60.66%), best:    6066/10000 (60.66%), error:     12115.98926, best error:     12115.98926 on epoch:    40, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

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_6409.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409_0_r261231156_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: 0.930178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00152608
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.10432e-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: 41
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 6066
read best_validation_error: 12116
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: 6409
read normal distribution: '1 0 0'
generator_str: '1861024247'
read generator: 1861024247
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 346 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: 1364.62390136719s, input_fired_time: 11.096061706543, output_fired_time: 9.41487216949463, propagate_forward_time: 540.428161621094, propagate_backward_time: 789.350952148438, weight_update_time: 0.78025621175766, other_time: 14.3338012695313
epoch time: 112.260208129883s, input_fired_time: 1.35983920097351, output_fired_time: 0, propagate_forward_time: 108.277267456055, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.62310028076172
validation[          , genome  6409] predictions:    5850/  10000 (58.50%), best:    6066/10000 (60.66%), error:     12599.73633, best error:     12115.98926 on epoch:    40, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 1347.2556152344s, input_fired_time: 10.9384860992, output_fired_time: 9.2535762787, propagate_forward_time: 536.6407470703, propagate_backward_time: 776.3096313477, weight_update_time: 0.7379464507, other_time: 14.1132202148
epoch time: 104.1406707764s, input_fired_time: 1.2532228231, output_fired_time: 0.0000000000, propagate_forward_time: 100.3018112183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5856399536
validation[          , genome  6409] predictions:    6000/  10000 (60.00%), best:    6066/10000 (60.66%), error:     12390.63574, best error:     12115.98926 on epoch:    40, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 1248.5676269531s, input_fired_time: 10.2409019470, output_fired_time: 8.5443706512, propagate_forward_time: 497.8150634766, propagate_backward_time: 717.8732299805, weight_update_time: 0.6831828356, other_time: 14.0941772461
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_6409.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542727803_174_6409_0_r261231156_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: 0.93601
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00137729
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.50915e-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: 43
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 40
read number_validation_images: 10000
read best_validation_predictions: 6066
read best_validation_error: 12116
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: 6409
read normal distribution: '1 0 0'
generator_str: '1252821624'
read generator: 1252821624
read generated_by_map:
1 crossover 1
reading 100 nodes.
reading 346 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: 1199.94763183594s, input_fired_time: 10.0373125076294, output_fired_time: 8.29877090454102, propagate_forward_time: 474.450042724609, propagate_backward_time: 691.92919921875, weight_update_time: 0.723345041275024, other_time: 15.232177734375
epoch time: 98.6038436889648s, input_fired_time: 1.22455036640167, output_fired_time: 0, propagate_forward_time: 94.4649124145508, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.91438293457031
validation[          , genome  6409] predictions:    5853/  10000 (58.53%), best:    6066/10000 (60.66%), error:     12784.81250, best error:     12115.98926 on epoch:    40, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 1082.3602294922s, input_fired_time: 9.3998146057, output_fired_time: 7.4083170891, propagate_forward_time: 421.0356445313, propagate_backward_time: 628.6789550781, weight_update_time: 0.6817803979, other_time: 15.8375244141
epoch time: 81.5429458618s, input_fired_time: 1.0856412649, output_fired_time: 0.0000000000, propagate_forward_time: 77.5290603638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9282455444
validation[          , genome  6409] predictions:    5899/  10000 (58.99%), best:    6066/10000 (60.66%), error:     12697.40234, best error:     12115.98926 on epoch:    40, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 984.0036010742s, input_fired_time: 8.9002304077, output_fired_time: 6.7353649139, propagate_forward_time: 380.1240539551, propagate_backward_time: 572.3215332031, weight_update_time: 0.6197041273, other_time: 15.9224853516
epoch time: 67.0370407104s, input_fired_time: 0.9812988043, output_fired_time: 0.0000000000, propagate_forward_time: 62.9856987000, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0700416565
validation[          , genome  6409] predictions:    6034/  10000 (60.34%), best:    6066/10000 (60.66%), error:     12220.68750, best error:     12115.98926 on epoch:    40, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 788.3298950195s, input_fired_time: 7.9386858940, output_fired_time: 5.3409800529, propagate_forward_time: 296.8854370117, propagate_backward_time: 461.7517089844, weight_update_time: 0.5386145711, other_time: 16.4130859375
epoch time: 62.9494361877s, input_fired_time: 0.9338980317, output_fired_time: 0.0000000000, propagate_forward_time: 58.8959465027, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1195907593
validation[          , genome  6409] predictions:    5982/  10000 (59.82%), best:    6066/10000 (60.66%), error:     12420.71582, best error:     12115.98926 on epoch:    40, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 762.0836181641s, input_fired_time: 7.8143787384, output_fired_time: 5.1535210609, propagate_forward_time: 285.7164306641, propagate_backward_time: 446.0907592773, weight_update_time: 0.5160360336, other_time: 17.3085327148
epoch time: 60.1234359741s, input_fired_time: 0.9287239909, output_fired_time: 0.0000000000, propagate_forward_time: 55.8305320740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3641815186
validation[          , genome  6409] predictions:    5985/  10000 (59.85%), best:    6066/10000 (60.66%), error:     12291.54980, best error:     12115.98926 on epoch:    40, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 749.2750854492s, input_fired_time: 7.7692170143, output_fired_time: 5.0296077728, propagate_forward_time: 280.8179016113, propagate_backward_time: 438.0373535156, weight_update_time: 0.5085504055, other_time: 17.6210021973
epoch time: 59.9497261047s, input_fired_time: 0.9017769098, output_fired_time: 0.0000000000, propagate_forward_time: 55.6121711731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4357795715
validation[          , genome  6409] predictions:    5809/  10000 (58.09%), best:    6066/10000 (60.66%), error:     12872.48828, best error:     12115.98926 on epoch:    40, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 747.7529296875s, input_fired_time: 7.7514653206, output_fired_time: 5.0338745117, propagate_forward_time: 279.8548583984, propagate_backward_time: 437.4125671387, weight_update_time: 0.5062646270, other_time: 17.7001647949
epoch time: 61.2783012390s, input_fired_time: 0.9195932746, output_fired_time: 0.0000000000, propagate_forward_time: 56.9950981140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3636093140
validation[          , genome  6409] predictions:    5977/  10000 (59.77%), best:    6066/10000 (60.66%), error:     12598.40039, best error:     12115.98926 on epoch:    40, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 745.3187255859s, input_fired_time: 7.7608766556, output_fired_time: 5.0160269737, propagate_forward_time: 279.5556640625, propagate_backward_time: 435.3414611816, weight_update_time: 0.5078588128, other_time: 17.6446838379
epoch time: 59.9124946594s, input_fired_time: 0.9240225554, output_fired_time: 0.0000000000, propagate_forward_time: 55.6121139526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3763580322
validation[          , genome  6409] predictions:    5896/  10000 (58.96%), best:    6066/10000 (60.66%), error:     12720.52539, best error:     12115.98926 on epoch:    40, 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: 298.0319213867s, input_fired_time: 4.5322165489, output_fired_time: 0.0000000000, propagate_forward_time: 276.5979919434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 16.9017028809
best training[          , genome  6409] predictions:   35532/  50000 (71.06%), best:    6066/10000 (60.66%), error:     41968.91406, best error:     12115.98926 on epoch:    40, 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: 60.8264198303s, input_fired_time: 0.9078770280, output_fired_time: 0.0000000000, propagate_forward_time: 56.5677642822, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3507766724
   testing[          , genome  6409] predictions:    6066/  10000 (60.66%), best:    6066/10000 (60.66%), error:     12115.98926, best error:     12115.98926 on epoch:    40, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
22:27:31 (18084): called boinc_finish(0)

</stderr_txt>
]]>