Nameexact_genome_1542127803_169_5824_3
Workunit4087220
Created5 Dec 2018, 18:15:52 UTC
Sent5 Dec 2018, 18:16:05 UTC
Report deadline26 Dec 2018, 16:43:05 UTC
Received8 Dec 2018, 12:41:48 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID87944
Run time13 hours 56 min 31 sec
CPU time12 hours 30 min 54 sec
Validate stateValid
Credit5,233.85
Device peak FLOPS2.49 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.36 MB
Peak swap size542.08 MB
Peak disk usage10.44 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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_3_r1316378649_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5824
read normal distribution: '1 0 0'
generator_str: '1550759362'
read generator: 1550759362
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 1751057142
post shuffle 1: 1244159519
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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_3_r1316378649_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5824
read normal distribution: '1 0 0'
generator_str: '1550759362'
read generator: 1550759362
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 1751057142
post shuffle 1: 1244159519
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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_3_r1316378649_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.5
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0125
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.0005
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 0
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 0
read number_validation_images: 10000
read best_validation_predictions: 0
read best_validation_error: 1e+07
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 5824
read normal distribution: '1 0 0'
generator_str: '1550759362'
read generator: 1550759362
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 1751057142
post shuffle 1: 1244159519
epoch time: 3023.68603515625s, input_fired_time: 22.2395095825195, output_fired_time: 23.3389739990234, propagate_forward_time: 1094.25793457031, propagate_backward_time: 1836.2373046875, weight_update_time: 1.86382591724396, other_time: 47.6124267578125
epoch time: 198.936370849609s, input_fired_time: 3.36985063552856, output_fired_time: 0, propagate_forward_time: 190.824920654297, propagate_backward_time: 0, weight_update_time: 0, other_time: 4.74159240722656
validation[          , genome  5824] predictions:    5277/  10000 (52.77%), best:    5277/10000 (52.77%), error:     16339.49219, best error:     16339.49219 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2764.4328613281s, input_fired_time: 23.3250503540, output_fired_time: 23.1744422913, propagate_forward_time: 988.3694458008, propagate_backward_time: 1700.9440917969, weight_update_time: 2.7668116093, other_time: 28.6198730469
epoch time: 194.1145629883s, input_fired_time: 2.4080662727, output_fired_time: 0.0000000000, propagate_forward_time: 185.8387298584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8677673340
validation[          , genome  5824] predictions:    5156/  10000 (51.56%), best:    5156/10000 (51.56%), error:     16036.21973, best error:     16036.21973 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2881.5405273438s, input_fired_time: 18.7732715607, output_fired_time: 17.4844188690, propagate_forward_time: 1019.1475830078, propagate_backward_time: 1788.3970947266, weight_update_time: 3.2630650997, other_time: 37.7382812500
epoch time: 204.0936737061s, input_fired_time: 2.3453433514, output_fired_time: 0.0000000000, propagate_forward_time: 194.8982543945, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8500823975
validation[          , genome  5824] predictions:    5269/  10000 (52.69%), best:    5269/10000 (52.69%), error:     15183.75977, best error:     15183.75977 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 2879.6130371094s, input_fired_time: 22.4092731476, output_fired_time: 15.3415813446, propagate_forward_time: 1059.1080322266, propagate_backward_time: 1744.0288085938, weight_update_time: 2.8302710056, other_time: 38.7254638672
epoch time: 212.5135040283s, input_fired_time: 2.8942480087, output_fired_time: 0.0000000000, propagate_forward_time: 199.3772735596, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.2419891357
validation[          , genome  5824] predictions:    5182/  10000 (51.82%), best:    5269/10000 (52.69%), error:     15386.66895, best error:     15183.75977 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2916.2185058594s, input_fired_time: 27.9345722198, output_fired_time: 19.5763778687, propagate_forward_time: 994.8248901367, propagate_backward_time: 1836.4821777344, weight_update_time: 3.1840164661, other_time: 37.4003906250
epoch time: 217.3869476318s, input_fired_time: 4.9183363914, output_fired_time: 0.0000000000, propagate_forward_time: 206.5320739746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9365386963
validation[          , genome  5824] predictions:    5050/  10000 (50.50%), best:    5269/10000 (52.69%), error:     15704.84375, best error:     15183.75977 on epoch:     2, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2890.5825195313s, input_fired_time: 26.8503150940, output_fired_time: 26.2575836182, propagate_forward_time: 1057.6175537109, propagate_backward_time: 1744.7364501953, weight_update_time: 2.1569855213, other_time: 35.1206054688
epoch time: 212.5786437988s, input_fired_time: 2.8714320660, output_fired_time: 0.0000000000, propagate_forward_time: 200.9393768311, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.7678375244
validation[          , genome  5824] predictions:    5238/  10000 (52.38%), best:    5269/10000 (52.69%), error:     15222.36230, best error:     15183.75977 on epoch:     2, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2940.0983886719s, input_fired_time: 27.8141880035, output_fired_time: 22.2571182251, propagate_forward_time: 1020.0898437500, propagate_backward_time: 1836.7806396484, weight_update_time: 6.2231583595, other_time: 33.1566162109
epoch time: 213.1262512207s, input_fired_time: 3.8415930271, output_fired_time: 0.0000000000, propagate_forward_time: 203.4493560791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.8352966309
validation[          , genome  5824] predictions:    5174/  10000 (51.74%), best:    5174/10000 (51.74%), error:     15112.18359, best error:     15112.18359 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2905.1779785156s, input_fired_time: 28.5179290771, output_fired_time: 22.5721740723, propagate_forward_time: 1025.9544677734, propagate_backward_time: 1797.4044189453, weight_update_time: 4.1553726196, other_time: 30.7290039063
epoch time: 208.7125549316s, input_fired_time: 3.8581140041, output_fired_time: 0.0000000000, propagate_forward_time: 196.9635925293, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.8908538818
validation[          , genome  5824] predictions:    4923/  10000 (49.23%), best:    5174/10000 (51.74%), error:     16282.80176, best error:     15112.18359 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2906.9697265625s, input_fired_time: 28.0105361938, output_fired_time: 28.3505229950, propagate_forward_time: 1008.5603027344, propagate_backward_time: 1802.5270996094, weight_update_time: 3.1434617043, other_time: 39.5212402344
epoch time: 187.0756072998s, input_fired_time: 4.6904292107, output_fired_time: 0.0000000000, propagate_forward_time: 172.9425354004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.4426422119
validation[          , genome  5824] predictions:    5287/  10000 (52.87%), best:    5287/10000 (52.87%), error:     14484.30176, best error:     14484.30176 on epoch:     8, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2760.9431152344s, input_fired_time: 18.8668613434, output_fired_time: 21.3848171234, propagate_forward_time: 938.0906372070, propagate_backward_time: 1747.9576416016, weight_update_time: 3.0345563889, other_time: 34.6431884766
epoch time: 222.2177429199s, input_fired_time: 2.9676203728, output_fired_time: 0.0000000000, propagate_forward_time: 213.2496185303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0005035400
validation[          , genome  5824] predictions:    5282/  10000 (52.82%), best:    5287/10000 (52.87%), error:     14490.42871, best error:     14484.30176 on epoch:     8, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2805.4790039063s, input_fired_time: 23.1689682007, output_fired_time: 25.6400871277, propagate_forward_time: 1000.9946899414, propagate_backward_time: 1723.3245849609, weight_update_time: 4.1422801018, other_time: 32.3507080078
epoch time: 176.8618164063s, input_fired_time: 2.8569629192, output_fired_time: 0.0000000000, propagate_forward_time: 167.9055786133, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0992736816
validation[          , genome  5824] predictions:    5288/  10000 (52.88%), best:    5287/10000 (52.87%), error:     14813.23438, best error:     14484.30176 on epoch:     8, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2759.4758300781s, input_fired_time: 22.1740150452, output_fired_time: 19.9797782898, propagate_forward_time: 945.5620117188, propagate_backward_time: 1736.2158203125, weight_update_time: 2.0518083572, other_time: 35.5441894531
epoch time: 181.3650207520s, input_fired_time: 1.5857237577, output_fired_time: 0.0000000000, propagate_forward_time: 173.4487762451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.3305206299
validation[          , genome  5824] predictions:    5464/  10000 (54.64%), best:    5464/10000 (54.64%), error:     14058.14746, best error:     14058.14746 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2842.5378417969s, input_fired_time: 24.0951595306, output_fired_time: 25.9183177948, propagate_forward_time: 995.0055541992, propagate_backward_time: 1762.1766357422, weight_update_time: 3.0558624268, other_time: 35.3421630859
epoch time: 159.4686889648s, input_fired_time: 2.4605391026, output_fired_time: 0.0000000000, propagate_forward_time: 150.0289459229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9792022705
validation[          , genome  5824] predictions:    5308/  10000 (53.08%), best:    5464/10000 (54.64%), error:     14865.45898, best error:     14058.14746 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2971.6369628906s, input_fired_time: 25.5344295502, output_fired_time: 30.6158638000, propagate_forward_time: 1070.1052246094, propagate_backward_time: 1805.2152099609, weight_update_time: 3.1555919647, other_time: 40.1661376953
epoch time: 263.5570068359s, input_fired_time: 4.7620244026, output_fired_time: 0.0000000000, propagate_forward_time: 251.5143127441, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.2806701660
validation[          , genome  5824] predictions:    5361/  10000 (53.61%), best:    5464/10000 (54.64%), error:     14544.96289, best error:     14058.14746 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_3_r1316378649_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: 0.751039
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00609594
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000243837
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: 14
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 11
read number_validation_images: 10000
read best_validation_predictions: 5464
read best_validation_error: 14058.1
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: 5824
read normal distribution: '1 0 0'
generator_str: '463039455'
read generator: 463039455
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 3227.35375976563s, input_fired_time: 29.6719417572021, output_fired_time: 24.3948650360107, propagate_forward_time: 1193.76098632813, propagate_backward_time: 1940.42907714844, weight_update_time: 4.27832412719727, other_time: 39.0970458984375
epoch time: 243.139572143555s, input_fired_time: 3.74210000038147, output_fired_time: 0, propagate_forward_time: 232.195526123047, propagate_backward_time: 0, weight_update_time: 0, other_time: 7.20195007324219
validation[          , genome  5824] predictions:    5580/  10000 (55.80%), best:    5580/10000 (55.80%), error:     13386.09082, best error:     13386.09082 on epoch:    14, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2868.3291015625s, input_fired_time: 22.6502780914, output_fired_time: 19.2945747375, propagate_forward_time: 1054.3509521484, propagate_backward_time: 1735.6040039063, weight_update_time: 4.9830861092, other_time: 36.4290771484
epoch time: 210.8050537109s, input_fired_time: 4.4191060066, output_fired_time: 0.0000000000, propagate_forward_time: 202.5718994141, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8140411377
validation[          , genome  5824] predictions:    5349/  10000 (53.49%), best:    5580/10000 (55.80%), error:     14389.60938, best error:     13386.09082 on epoch:    14, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 3149.5405273438s, input_fired_time: 27.4263553619, output_fired_time: 28.1339950562, propagate_forward_time: 1129.5894775391, propagate_backward_time: 1920.1774902344, weight_update_time: 2.1180238724, other_time: 44.2132568359
epoch time: 181.0066070557s, input_fired_time: 1.3237000704, output_fired_time: 0.0000000000, propagate_forward_time: 174.1558837891, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5270233154
validation[          , genome  5824] predictions:    5433/  10000 (54.33%), best:    5580/10000 (55.80%), error:     14441.33594, best error:     13386.09082 on epoch:    14, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 3342.1560058594s, input_fired_time: 28.9301300049, output_fired_time: 25.8425750732, propagate_forward_time: 1205.5528564453, propagate_backward_time: 2033.2325439453, weight_update_time: 4.2056908607, other_time: 48.5980224609
epoch time: 248.4301147461s, input_fired_time: 1.9503862858, output_fired_time: 0.0000000000, propagate_forward_time: 237.3918151855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.0879058838
validation[          , genome  5824] predictions:    5465/  10000 (54.65%), best:    5580/10000 (55.80%), error:     13992.82227, best error:     13386.09082 on epoch:    14, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 3191.2485351563s, input_fired_time: 24.7054214478, output_fired_time: 30.6644420624, propagate_forward_time: 1132.1152343750, propagate_backward_time: 1960.4355468750, weight_update_time: 3.3125121593, other_time: 43.3278808594
epoch time: 233.0336761475s, input_fired_time: 2.6507601738, output_fired_time: 0.0000000000, propagate_forward_time: 226.0142211914, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3686981201
validation[          , genome  5824] predictions:    5399/  10000 (53.99%), best:    5580/10000 (55.80%), error:     14125.59766, best error:     13386.09082 on epoch:    14, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2967.6611328125s, input_fired_time: 24.8856964111, output_fired_time: 17.6856136322, propagate_forward_time: 1073.1958007813, propagate_backward_time: 1810.8818359375, weight_update_time: 2.9332461357, other_time: 41.0122070313
epoch time: 219.0645446777s, input_fired_time: 1.5635685921, output_fired_time: 0.0000000000, propagate_forward_time: 210.8040466309, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.6969299316
validation[          , genome  5824] predictions:    5649/  10000 (56.49%), best:    5580/10000 (55.80%), error:     13464.83203, best error:     13386.09082 on epoch:    14, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2789.2722167969s, input_fired_time: 19.4925708771, output_fired_time: 19.2282524109, propagate_forward_time: 1005.8827514648, propagate_backward_time: 1705.6342773438, weight_update_time: 1.7982569933, other_time: 39.0341796875
epoch time: 215.1390686035s, input_fired_time: 1.5922784805, output_fired_time: 0.0000000000, propagate_forward_time: 208.0026397705, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5441436768
validation[          , genome  5824] predictions:    5523/  10000 (55.23%), best:    5580/10000 (55.80%), error:     13812.75391, best error:     13386.09082 on epoch:    14, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

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_1542127803_169_5824.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_169_5824_3_r1316378649_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: 0.823125
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00425702
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000170281
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: 21
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 14
read number_validation_images: 10000
read best_validation_predictions: 5580
read best_validation_error: 13386.1
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: 5824
read normal distribution: '1 0 0'
generator_str: '1260356081'
read generator: 1260356081
read generated_by_map:
1 enable_edge 1
reading 85 nodes.
reading 322 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: 3095.7998046875s, input_fired_time: 23.6725883483887, output_fired_time: 19.9244766235352, propagate_forward_time: 1068.96276855469, propagate_backward_time: 1923.98034667969, weight_update_time: 3.19522404670715, other_time: 59.259521484375
epoch time: 243.959213256836s, input_fired_time: 3.62874317169189, output_fired_time: 0, propagate_forward_time: 231.949295043945, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.38117980957031
validation[          , genome  5824] predictions:    5580/  10000 (55.80%), best:    5580/10000 (55.80%), error:     14071.49023, best error:     13386.09082 on epoch:    14, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2818.3647460938s, input_fired_time: 22.0753536224, output_fired_time: 15.2724590302, propagate_forward_time: 1010.0698852539, propagate_backward_time: 1733.6607666016, weight_update_time: 1.8247302771, other_time: 37.2862548828
epoch time: 226.9513702393s, input_fired_time: 2.6929070950, output_fired_time: 0.0000000000, propagate_forward_time: 218.0893096924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1691589355
validation[          , genome  5824] predictions:    5480/  10000 (54.80%), best:    5580/10000 (55.80%), error:     14118.02734, best error:     13386.09082 on epoch:    14, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 3100.6218261719s, input_fired_time: 30.7705383301, output_fired_time: 22.3230228424, propagate_forward_time: 1130.9041748047, propagate_backward_time: 1863.7508544922, weight_update_time: 4.9927058220, other_time: 52.8732910156
epoch time: 217.9193725586s, input_fired_time: 3.0050311089, output_fired_time: 0.0000000000, propagate_forward_time: 206.1195526123, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.7947845459
validation[          , genome  5824] predictions:    5628/  10000 (56.28%), best:    5628/10000 (56.28%), error:     13334.12500, best error:     13334.12500 on epoch:    23, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2989.5856933594s, input_fired_time: 25.8047809601, output_fired_time: 26.1619682312, propagate_forward_time: 992.9257202148, propagate_backward_time: 1878.5046386719, weight_update_time: 3.3230166435, other_time: 66.1887207031
epoch time: 185.7168884277s, input_fired_time: 2.7555246353, output_fired_time: 0.0000000000, propagate_forward_time: 173.3122100830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.6491546631
validation[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5628/10000 (56.28%), error:     13626.90918, best error:     13334.12500 on epoch:    23, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2977.9760742188s, input_fired_time: 35.5892829895, output_fired_time: 24.2676086426, propagate_forward_time: 1042.3703613281, propagate_backward_time: 1837.5438232422, weight_update_time: 4.1785917282, other_time: 38.2049560547
epoch time: 210.4273834229s, input_fired_time: 3.4512357712, output_fired_time: 0.0000000000, propagate_forward_time: 202.8226928711, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1534576416
validation[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5679/10000 (56.79%), error:     13072.01953, best error:     13072.01953 on epoch:    25, epoch:   25/25, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 1035.3453369141s, input_fired_time: 12.3257541656, output_fired_time: 0.0000000000, propagate_forward_time: 996.4259033203, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 26.5936889648
best training[          , genome  5824] predictions:   32100/  50000 (64.20%), best:    5679/10000 (56.79%), error:     52586.64063, best error:     13072.01953 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 233.9162139893s, input_fired_time: 1.6516557932, output_fired_time: 0.0000000000, propagate_forward_time: 225.1879730225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0765838623
   testing[          , genome  5824] predictions:    5679/  10000 (56.79%), best:    5679/10000 (56.79%), error:     13072.01953, best error:     13072.01953 on epoch:    25, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
12:40:39 (7736): called boinc_finish(0)

</stderr_txt>
]]>