Nameexact_genome_1542334203_174_6025_1
Workunit4091938
Created16 Nov 2018, 3:06:25 UTC
Sent16 Nov 2018, 3:13:54 UTC
Report deadline6 Jan 2019, 11:47:02 UTC
Received24 Nov 2018, 1:43:34 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID83667
Run time11 hours 49 min 25 sec
CPU time11 hours 46 min 8 sec
Validate stateValid
Credit12,839.09
Device peak FLOPS4.64 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size531.48 MB
Peak swap size551.17 MB
Peak disk usage10.96 MB

Stderr output

<core_client_version>7.14.2</core_client_version>
<![CDATA[
<stderr_txt>
nput_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_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_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: 0.590892
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0101813
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000407253
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: 4
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 2
read number_validation_images: 10000
read best_validation_predictions: 5172
read best_validation_error: 15801.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6025
read normal distribution: '1 0 0'
generator_str: '1789034872'
read generator: 1789034872
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 781.842407226563s, input_fired_time: 8.26824760437012, output_fired_time: 5.98009157180786, propagate_forward_time: 277.594024658203, propagate_backward_time: 469.603790283203, weight_update_time: 1.0572806596756, other_time: 20.396240234375
epoch time: 59.5430374145508s, input_fired_time: 1.00437474250793, output_fired_time: 0, propagate_forward_time: 55.2973899841309, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.24127197265625
validation[          , genome  6025] predictions:    5200/  10000 (52.00%), best:    5200/10000 (52.00%), error:     15265.25195, best error:     15265.25195 on epoch:     4, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 772.9863281250s, input_fired_time: 8.1968069077, output_fired_time: 5.8992171288, propagate_forward_time: 274.3271179199, propagate_backward_time: 463.8179016113, weight_update_time: 1.0517284870, other_time: 20.7453002930
epoch time: 59.4944229126s, input_fired_time: 0.9816582203, output_fired_time: 0.0000000000, propagate_forward_time: 55.1293144226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3834495544
validation[          , genome  6025] predictions:    5145/  10000 (51.45%), best:    5200/10000 (52.00%), error:     15409.21680, best error:     15265.25195 on epoch:     4, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

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_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_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: 0.629805
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00918865
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000367546
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: 6
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 4
read number_validation_images: 10000
read best_validation_predictions: 5200
read best_validation_error: 15265.3
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: 6025
read normal distribution: '1 0 0'
generator_str: '416810469'
read generator: 416810469
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 792.314025878906s, input_fired_time: 8.31278800964355, output_fired_time: 6.0124626159668, propagate_forward_time: 282.579742431641, propagate_backward_time: 474.647552490234, weight_update_time: 1.06311070919037, other_time: 20.761474609375
epoch time: 60.3249130249023s, input_fired_time: 0.993301749229431, output_fired_time: 0, propagate_forward_time: 55.9291801452637, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.40243148803711
validation[          , genome  6025] predictions:    4711/  10000 (47.11%), best:    5200/10000 (52.00%), error:     19289.41992, best error:     15265.25195 on epoch:     4, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 774.0906372070s, input_fired_time: 8.1718568802, output_fired_time: 5.8762435913, propagate_forward_time: 274.5033569336, propagate_backward_time: 464.2815246582, weight_update_time: 1.0553466082, other_time: 21.2576599121
epoch time: 59.4761199951s, input_fired_time: 0.9888892770, output_fired_time: 0.0000000000, propagate_forward_time: 54.9814720154, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5057601929
validation[          , genome  6025] predictions:    5244/  10000 (52.44%), best:    5244/10000 (52.44%), error:     15090.31836, best error:     15090.31836 on epoch:     7, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

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_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_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: 0.664924
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00829275
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.00033171
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: 8
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 7
read number_validation_images: 10000
read best_validation_predictions: 5244
read best_validation_error: 15090.3
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: 6025
read normal distribution: '1 0 0'
generator_str: '1464824164'
read generator: 1464824164
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 845.85693359375s, input_fired_time: 8.6215648651123, output_fired_time: 6.41610240936279, propagate_forward_time: 305.7880859375, propagate_backward_time: 505.600463867188, weight_update_time: 1.1005539894104, other_time: 19.4307250976563
epoch time: 59.2419128417969s, input_fired_time: 0.982093036174774, output_fired_time: 0, propagate_forward_time: 54.9543914794922, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.30542755126953
validation[          , genome  6025] predictions:    5203/  10000 (52.03%), best:    5203/10000 (52.03%), error:     14701.76172, best error:     14701.76172 on epoch:     8, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 776.0758666992s, input_fired_time: 8.2516880035, output_fired_time: 5.8668022156, propagate_forward_time: 275.4519958496, propagate_backward_time: 465.6535339355, weight_update_time: 1.0598964691, other_time: 20.8518066406
epoch time: 59.1869392395s, input_fired_time: 0.9971948862, output_fired_time: 0.0000000000, propagate_forward_time: 54.7600822449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4296607971
validation[          , genome  6025] predictions:    4981/  10000 (49.81%), best:    5203/10000 (52.03%), error:     15636.55078, best error:     14701.76172 on epoch:     8, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 769.0824584961s, input_fired_time: 8.2659416199, output_fired_time: 5.8386545181, propagate_forward_time: 272.2338867188, propagate_backward_time: 462.1152954102, weight_update_time: 1.0478062630, other_time: 20.6286621094
epoch time: 59.0986061096s, input_fired_time: 0.9813846350, output_fired_time: 0.0000000000, propagate_forward_time: 54.7643814087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3528404236
validation[          , genome  6025] predictions:    5356/  10000 (53.56%), best:    5356/10000 (53.56%), error:     14180.79688, best error:     14180.79688 on epoch:    10, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 772.6850585938s, input_fired_time: 8.2634525299, output_fired_time: 5.8440356255, propagate_forward_time: 274.7959594727, propagate_backward_time: 463.4447021484, weight_update_time: 1.0473756790, other_time: 20.3369140625
epoch time: 59.6389274597s, input_fired_time: 1.0063797235, output_fired_time: 0.0000000000, propagate_forward_time: 55.2831878662, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3493614197
validation[          , genome  6025] predictions:    5385/  10000 (53.85%), best:    5356/10000 (53.56%), error:     14778.13867, best error:     14180.79688 on epoch:    10, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 770.7642211914s, input_fired_time: 8.2464094162, output_fired_time: 5.8170199394, propagate_forward_time: 273.8084106445, propagate_backward_time: 462.0872192383, weight_update_time: 1.0507955551, other_time: 20.8051757813
epoch time: 58.8106307983s, input_fired_time: 1.0006402731, output_fired_time: 0.0000000000, propagate_forward_time: 54.3799133301, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4300765991
validation[          , genome  6025] predictions:    5289/  10000 (52.89%), best:    5356/10000 (53.56%), error:     14944.67285, best error:     14180.79688 on epoch:    10, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 772.9483032227s, input_fired_time: 8.3259563446, output_fired_time: 5.8667335510, propagate_forward_time: 275.2061462402, propagate_backward_time: 463.2226257324, weight_update_time: 1.0574771166, other_time: 20.3268432617
epoch time: 58.9096565247s, input_fired_time: 0.9942276478, output_fired_time: 0.0000000000, propagate_forward_time: 54.7648124695, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1506156921
validation[          , genome  6025] predictions:    5161/  10000 (51.61%), best:    5356/10000 (53.56%), error:     14872.36426, best error:     14180.79688 on epoch:    10, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 770.6520996094s, input_fired_time: 8.3302173615, output_fired_time: 5.8786406517, propagate_forward_time: 273.3851623535, propagate_backward_time: 463.4334716797, weight_update_time: 1.0646934509, other_time: 19.6246032715
epoch time: 58.5630493164s, input_fired_time: 1.0109639168, output_fired_time: 0.0000000000, propagate_forward_time: 54.3894538879, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1626319885
validation[          , genome  6025] predictions:    5404/  10000 (54.04%), best:    5404/10000 (54.04%), error:     14124.45898, best error:     14124.45898 on epoch:    14, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 769.2732543945s, input_fired_time: 8.3422946930, output_fired_time: 5.8554549217, propagate_forward_time: 273.2954406738, propagate_backward_time: 462.6338806152, weight_update_time: 1.0639963150, other_time: 19.1461791992
epoch time: 58.4798355103s, input_fired_time: 1.0070624352, output_fired_time: 0.0000000000, propagate_forward_time: 54.6569633484, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8158111572
validation[          , genome  6025] predictions:    5458/  10000 (54.58%), best:    5458/10000 (54.58%), error:     13880.35938, best error:     13880.35938 on epoch:    15, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 768.5635375977s, input_fired_time: 8.3402900696, output_fired_time: 5.8896522522, propagate_forward_time: 273.4298706055, propagate_backward_time: 462.0764160156, weight_update_time: 1.0614243746, other_time: 18.8273315430
epoch time: 58.2830924988s, input_fired_time: 1.0075612068, output_fired_time: 0.0000000000, propagate_forward_time: 53.9170494080, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3584823608
validation[          , genome  6025] predictions:    5187/  10000 (51.87%), best:    5458/10000 (54.58%), error:     14929.86816, best error:     13880.35938 on epoch:    15, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 770.2199096680s, input_fired_time: 8.3680582047, output_fired_time: 5.8726959229, propagate_forward_time: 273.0687866211, propagate_backward_time: 462.2773132324, weight_update_time: 1.0593094826, other_time: 20.6330871582
epoch time: 58.8083267212s, input_fired_time: 1.0000543594, output_fired_time: 0.0000000000, propagate_forward_time: 54.5395545959, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2687187195
validation[          , genome  6025] predictions:    5365/  10000 (53.65%), best:    5458/10000 (54.58%), error:     14386.60352, best error:     13880.35938 on epoch:    15, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 772.9431762695s, input_fired_time: 8.3719978333, output_fired_time: 5.8977713585, propagate_forward_time: 274.6728820801, propagate_backward_time: 463.8864746094, weight_update_time: 1.0626459122, other_time: 20.1140441895
epoch time: 58.7550163269s, input_fired_time: 1.0106346607, output_fired_time: 0.0000000000, propagate_forward_time: 54.4187049866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3256759644
validation[          , genome  6025] predictions:    5586/  10000 (55.86%), best:    5458/10000 (54.58%), error:     14130.95410, best error:     13880.35938 on epoch:    15, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 772.1676635742s, input_fired_time: 8.3715267181, output_fired_time: 5.8563699722, propagate_forward_time: 273.8586730957, propagate_backward_time: 463.6382751465, weight_update_time: 1.0551209450, other_time: 20.4428100586
epoch time: 59.2029876709s, input_fired_time: 1.0212112665, output_fired_time: 0.0000000000, propagate_forward_time: 54.8604698181, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3213081360
validation[          , genome  6025] predictions:    5725/  10000 (57.25%), best:    5725/10000 (57.25%), error:     13584.02246, best error:     13584.02246 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 769.6284790039s, input_fired_time: 8.3660392761, output_fired_time: 5.8110647202, propagate_forward_time: 272.6206665039, propagate_backward_time: 461.7406311035, weight_update_time: 1.0411624908, other_time: 21.0901184082
epoch time: 58.9040374756s, input_fired_time: 1.0006383657, output_fired_time: 0.0000000000, propagate_forward_time: 54.3044013977, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5989990234
validation[          , genome  6025] predictions:    5579/  10000 (55.79%), best:    5579/10000 (55.79%), error:     13411.91309, best error:     13411.91309 on epoch:    20, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 770.5717163086s, input_fired_time: 8.3925743103, output_fired_time: 5.8174409866, propagate_forward_time: 272.9553222656, propagate_backward_time: 461.3184509277, weight_update_time: 1.0381106138, other_time: 22.0879211426
epoch time: 59.8831024170s, input_fired_time: 1.0267382860, output_fired_time: 0.0000000000, propagate_forward_time: 55.3521270752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5042381287
validation[          , genome  6025] predictions:    5594/  10000 (55.94%), best:    5579/10000 (55.79%), error:     13769.54199, best error:     13411.91309 on epoch:    20, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 772.8876342773s, input_fired_time: 8.3986682892, output_fired_time: 5.8444461823, propagate_forward_time: 273.8734130859, propagate_backward_time: 464.2008972168, weight_update_time: 1.0485483408, other_time: 20.5702209473
epoch time: 59.4700584412s, input_fired_time: 1.0210795403, output_fired_time: 0.0000000000, propagate_forward_time: 55.1280097961, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3209686279
validation[          , genome  6025] predictions:    5741/  10000 (57.41%), best:    5741/10000 (57.41%), error:     13189.37695, best error:     13189.37695 on epoch:    22, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 770.9083862305s, input_fired_time: 8.4019165039, output_fired_time: 5.8642544746, propagate_forward_time: 274.0396118164, propagate_backward_time: 463.0554199219, weight_update_time: 1.0479509830, other_time: 19.5471801758
epoch time: 59.0250854492s, input_fired_time: 1.0224887133, output_fired_time: 0.0000000000, propagate_forward_time: 54.8675537109, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1350440979
validation[          , genome  6025] predictions:    5556/  10000 (55.56%), best:    5741/10000 (57.41%), error:     13662.08105, best error:     13189.37695 on epoch:    22, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 772.1361083984s, input_fired_time: 8.4205236435, output_fired_time: 5.8511495590, propagate_forward_time: 274.6953735352, propagate_backward_time: 462.3290710449, weight_update_time: 1.0473080873, other_time: 20.8399963379
epoch time: 58.7903594971s, input_fired_time: 1.0187690258, output_fired_time: 0.0000000000, propagate_forward_time: 54.2942352295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4773559570
validation[          , genome  6025] predictions:    5881/  10000 (58.81%), best:    5881/10000 (58.81%), error:     12716.12891, best error:     12716.12891 on epoch:    24, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 776.8966674805s, input_fired_time: 8.4465503693, output_fired_time: 5.9099335670, propagate_forward_time: 275.7439880371, propagate_backward_time: 465.7217102051, weight_update_time: 1.0501191616, other_time: 21.0745239258
epoch time: 59.6777610779s, input_fired_time: 1.0344858170, output_fired_time: 0.0000000000, propagate_forward_time: 55.1459007263, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4973754883
validation[          , genome  6025] predictions:    5750/  10000 (57.50%), best:    5881/10000 (58.81%), error:     13104.50000, best error:     12716.12891 on epoch:    24, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 774.5350341797s, input_fired_time: 8.4318838120, output_fired_time: 5.8522171974, propagate_forward_time: 274.8101196289, propagate_backward_time: 464.3240966797, weight_update_time: 1.0505112410, other_time: 21.1166992188
epoch time: 59.0688591003s, input_fired_time: 1.0219346285, output_fired_time: 0.0000000000, propagate_forward_time: 54.5395393372, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5073852539
validation[          , genome  6025] predictions:    5564/  10000 (55.64%), best:    5881/10000 (58.81%), error:     13817.94531, best error:     12716.12891 on epoch:    24, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 770.9892578125s, input_fired_time: 8.4192342758, output_fired_time: 5.8383784294, propagate_forward_time: 273.1166992188, propagate_backward_time: 463.3002624512, weight_update_time: 1.0474770069, other_time: 20.3146667480
epoch time: 59.3950576782s, input_fired_time: 1.0252046585, output_fired_time: 0.0000000000, propagate_forward_time: 55.3247871399, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0450668335
validation[          , genome  6025] predictions:    5765/  10000 (57.65%), best:    5881/10000 (58.81%), error:     12878.08984, best error:     12716.12891 on epoch:    24, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

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_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_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: 0.873465
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00297283
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000118913
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: 28
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 24
read number_validation_images: 10000
read best_validation_predictions: 5881
read best_validation_error: 12716.1
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: 6025
read normal distribution: '1 0 0'
generator_str: '1193555426'
read generator: 1193555426
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 761.844177246094s, input_fired_time: 8.36266708374023, output_fired_time: 5.77853775024414, propagate_forward_time: 269.557250976563, propagate_backward_time: 457.417358398438, weight_update_time: 1.05321300029755, other_time: 20.7283325195313
epoch time: 57.1103744506836s, input_fired_time: 1.00038874149323, output_fired_time: 0, propagate_forward_time: 52.5872611999512, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.52272415161133
validation[          , genome  6025] predictions:    5754/  10000 (57.54%), best:    5881/10000 (58.81%), error:     13051.92188, best error:     12716.12891 on epoch:    24, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 748.7489624023s, input_fired_time: 8.3641080856, output_fired_time: 5.6742811203, propagate_forward_time: 264.0223083496, propagate_backward_time: 448.7453002930, weight_update_time: 1.0490921736, other_time: 21.9429626465
epoch time: 57.6211128235s, input_fired_time: 1.0153306723, output_fired_time: 0.0000000000, propagate_forward_time: 52.9403038025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6654777527
validation[          , genome  6025] predictions:    5849/  10000 (58.49%), best:    5849/10000 (58.49%), error:     12670.97363, best error:     12670.97363 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 750.8521728516s, input_fired_time: 8.4152088165, output_fired_time: 5.6956000328, propagate_forward_time: 264.5751647949, propagate_backward_time: 449.6002502441, weight_update_time: 1.0499932766, other_time: 22.5659179688
epoch time: 58.1700820923s, input_fired_time: 1.0267181396, output_fired_time: 0.0000000000, propagate_forward_time: 53.3672714233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7760925293
validation[          , genome  6025] predictions:    5930/  10000 (59.30%), best:    5930/10000 (59.30%), error:     12513.21289, best error:     12513.21289 on epoch:    30, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 750.8298950195s, input_fired_time: 8.4147996902, output_fired_time: 5.6941070557, propagate_forward_time: 264.7408752441, propagate_backward_time: 449.6831359863, weight_update_time: 1.0498133898, other_time: 22.2969970703
epoch time: 57.2303428650s, input_fired_time: 1.0116401911, output_fired_time: 0.0000000000, propagate_forward_time: 52.7601280212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4585762024
validation[          , genome  6025] predictions:    5789/  10000 (57.89%), best:    5930/10000 (59.30%), error:     12718.15918, best error:     12513.21289 on epoch:    30, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 748.3852539063s, input_fired_time: 8.3729467392, output_fired_time: 5.6792173386, propagate_forward_time: 264.4134826660, propagate_backward_time: 448.8509826660, weight_update_time: 1.0508126020, other_time: 21.0686645508
epoch time: 57.1155014038s, input_fired_time: 1.0060836077, output_fired_time: 0.0000000000, propagate_forward_time: 52.7829742432, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3264427185
validation[          , genome  6025] predictions:    5805/  10000 (58.05%), best:    5930/10000 (59.30%), error:     12986.39160, best error:     12513.21289 on epoch:    30, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 747.8991699219s, input_fired_time: 8.3779973984, output_fired_time: 5.6950893402, propagate_forward_time: 264.1468811035, propagate_backward_time: 449.1300048828, weight_update_time: 1.0464316607, other_time: 20.5492248535
epoch time: 57.1875495911s, input_fired_time: 1.0118905306, output_fired_time: 0.0000000000, propagate_forward_time: 53.0360641479, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1395950317
validation[          , genome  6025] predictions:    5733/  10000 (57.33%), best:    5930/10000 (59.30%), error:     13116.98828, best error:     12513.21289 on epoch:    30, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 749.2296752930s, input_fired_time: 8.3801345825, output_fired_time: 5.6884045601, propagate_forward_time: 264.9290466309, propagate_backward_time: 450.3125000000, weight_update_time: 1.0479958057, other_time: 19.9195861816
epoch time: 56.9496116638s, input_fired_time: 1.0225908756, output_fired_time: 0.0000000000, propagate_forward_time: 52.7808265686, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1461944580
validation[          , genome  6025] predictions:    5659/  10000 (56.59%), best:    5930/10000 (59.30%), error:     13294.89551, best error:     12513.21289 on epoch:    30, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 750.1030273438s, input_fired_time: 8.3840799332, output_fired_time: 5.7029809952, propagate_forward_time: 264.4671936035, propagate_backward_time: 450.6525573730, weight_update_time: 1.0498373508, other_time: 20.8961791992
epoch time: 57.8627433777s, input_fired_time: 1.0272866488, output_fired_time: 0.0000000000, propagate_forward_time: 53.3732261658, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4622306824
validation[          , genome  6025] predictions:    5757/  10000 (57.57%), best:    5930/10000 (59.30%), error:     12911.07324, best error:     12513.21289 on epoch:    30, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.912688
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00197224
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.88896e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 36
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 5930
read best_validation_error: 12513.2
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: 6025
read normal distribution: '1 0 0'
generator_str: '1980575207'
read generator: 1980575207
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 754.098205566406s, input_fired_time: 8.47350788116455, output_fired_time: 5.77284526824951, propagate_forward_time: 265.918792724609, propagate_backward_time: 452.116638183594, weight_update_time: 1.04616689682007, other_time: 21.8164367675781
epoch time: 57.5099182128906s, input_fired_time: 1.01673352718353, output_fired_time: 0, propagate_forward_time: 52.8241424560547, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.66904067993164
validation[          , genome  6025] predictions:    5920/  10000 (59.20%), best:    5920/10000 (59.20%), error:     12487.66309, best error:     12487.66309 on epoch:    36, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 751.7059326172s, input_fired_time: 8.4877529144, output_fired_time: 5.7872838974, propagate_forward_time: 265.1646728516, propagate_backward_time: 450.8694458008, weight_update_time: 1.0486901999, other_time: 21.3967895508
epoch time: 57.5130004883s, input_fired_time: 1.0291684866, output_fired_time: 0.0000000000, propagate_forward_time: 52.9496841431, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5341491699
validation[          , genome  6025] predictions:    5929/  10000 (59.29%), best:    5920/10000 (59.20%), error:     12590.86426, best error:     12487.66309 on epoch:    36, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 754.1408691406s, input_fired_time: 8.5180320740, output_fired_time: 5.7813153267, propagate_forward_time: 266.9232482910, propagate_backward_time: 451.5560607910, weight_update_time: 1.0511555672, other_time: 21.3622436523
epoch time: 57.5705070496s, input_fired_time: 1.0337123871, output_fired_time: 0.0000000000, propagate_forward_time: 53.1048011780, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4319953918
validation[          , genome  6025] predictions:    5836/  10000 (58.36%), best:    5920/10000 (59.20%), error:     12782.67188, best error:     12487.66309 on epoch:    36, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 752.3166503906s, input_fired_time: 8.5234518051, output_fired_time: 5.7641077042, propagate_forward_time: 265.7617492676, propagate_backward_time: 451.2573547363, weight_update_time: 1.0437763929, other_time: 21.0100097656
epoch time: 57.7725791931s, input_fired_time: 1.0323947668, output_fired_time: 0.0000000000, propagate_forward_time: 53.3679962158, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3721885681
validation[          , genome  6025] predictions:    5933/  10000 (59.33%), best:    5933/10000 (59.33%), error:     12434.35449, best error:     12434.35449 on epoch:    39, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 753.0301513672s, input_fired_time: 8.5207834244, output_fired_time: 5.7982597351, propagate_forward_time: 266.2827758789, propagate_backward_time: 452.2341613770, weight_update_time: 1.0455383062, other_time: 20.1941223145
epoch time: 57.4376373291s, input_fired_time: 1.0388426781, output_fired_time: 0.0000000000, propagate_forward_time: 53.1447257996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2540702820
validation[          , genome  6025] predictions:    5738/  10000 (57.38%), best:    5933/10000 (59.33%), error:     13202.05176, best error:     12434.35449 on epoch:    39, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 752.3550415039s, input_fired_time: 8.5285787582, output_fired_time: 5.8082756996, propagate_forward_time: 265.8747253418, propagate_backward_time: 451.0916748047, weight_update_time: 1.0492873192, other_time: 21.0517883301
epoch time: 58.1735191345s, input_fired_time: 1.0246955156, output_fired_time: 0.0000000000, propagate_forward_time: 53.3889579773, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7598648071
validation[          , genome  6025] predictions:    5655/  10000 (56.55%), best:    5933/10000 (59.33%), error:     13531.11328, best error:     12434.35449 on epoch:    39, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 759.4402465820s, input_fired_time: 8.5615024567, output_fired_time: 5.8511695862, propagate_forward_time: 268.2607116699, propagate_backward_time: 455.1533813477, weight_update_time: 1.0486204624, other_time: 21.6134338379
epoch time: 59.2708969116s, input_fired_time: 1.0364626646, output_fired_time: 0.0000000000, propagate_forward_time: 54.9395675659, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2948684692
validation[          , genome  6025] predictions:    5819/  10000 (58.19%), best:    5933/10000 (59.33%), error:     12831.20703, best error:     12434.35449 on epoch:    39, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 765.7229003906s, input_fired_time: 8.5800037384, output_fired_time: 5.8385014534, propagate_forward_time: 272.0148010254, propagate_backward_time: 458.8516540527, weight_update_time: 1.0362285376, other_time: 20.4379272461
epoch time: 58.7330017090s, input_fired_time: 1.0430406332, output_fired_time: 0.0000000000, propagate_forward_time: 54.6168518066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0731086731
validation[          , genome  6025] predictions:    6052/  10000 (60.52%), best:    6052/10000 (60.52%), error:     12080.49902, best error:     12080.49902 on epoch:    43, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 765.8895874023s, input_fired_time: 8.5983400345, output_fired_time: 5.8444261551, propagate_forward_time: 271.5448608398, propagate_backward_time: 460.7082519531, weight_update_time: 1.0461785793, other_time: 19.1937255859
epoch time: 58.5686187744s, input_fired_time: 1.0452442169, output_fired_time: 0.0000000000, propagate_forward_time: 54.2337608337, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2896156311
validation[          , genome  6025] predictions:    5874/  10000 (58.74%), best:    6052/10000 (60.52%), error:     12434.95996, best error:     12080.49902 on epoch:    43, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 769.1739501953s, input_fired_time: 8.6235294342, output_fired_time: 5.8466534615, propagate_forward_time: 274.1243286133, propagate_backward_time: 460.4850769043, weight_update_time: 1.0424588919, other_time: 20.0943298340
epoch time: 59.2292442322s, input_fired_time: 1.0517729521, output_fired_time: 0.0000000000, propagate_forward_time: 54.7768249512, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4006462097
validation[          , genome  6025] predictions:    5940/  10000 (59.40%), best:    6052/10000 (60.52%), error:     12743.82031, best error:     12080.49902 on epoch:    43, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 771.5991210938s, input_fired_time: 8.5171117783, output_fired_time: 5.8468494415, propagate_forward_time: 274.4906005859, propagate_backward_time: 461.9766235352, weight_update_time: 1.0430728197, other_time: 20.7679443359
epoch time: 58.6996688843s, input_fired_time: 1.0522136688, output_fired_time: 0.0000000000, propagate_forward_time: 54.2471237183, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4003295898
validation[          , genome  6025] predictions:    6003/  10000 (60.03%), best:    6052/10000 (60.52%), error:     12222.59570, best error:     12080.49902 on epoch:    43, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 764.8719482422s, input_fired_time: 8.4621582031, output_fired_time: 5.8092846870, propagate_forward_time: 271.8327636719, propagate_backward_time: 458.3041687012, weight_update_time: 1.0337250233, other_time: 20.4635925293
epoch time: 58.5190734863s, input_fired_time: 1.0419255495, output_fired_time: 0.0000000000, propagate_forward_time: 54.0410308838, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4361152649
validation[          , genome  6025] predictions:    5818/  10000 (58.18%), best:    6052/10000 (60.52%), error:     12849.54395, best error:     12080.49902 on epoch:    43, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

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_1542334203_174_6025.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542334203_174_6025_1_r1195080385_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: 0.948224
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00106572
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 4.26288e-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: 48
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 43
read number_validation_images: 10000
read best_validation_predictions: 6052
read best_validation_error: 12080.5
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6025
read normal distribution: '1 0 0'
generator_str: '1693040674'
read generator: 1693040674
read generated_by_map:
1 crossover 1
reading 111 nodes.
reading 382 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: 774.049133300781s, input_fired_time: 8.51980209350586, output_fired_time: 5.83796215057373, propagate_forward_time: 275.097259521484, propagate_backward_time: 463.207397460938, weight_update_time: 1.02986788749695, other_time: 21.3867492675781
epoch time: 58.6239318847656s, input_fired_time: 1.03414356708527, output_fired_time: 0, propagate_forward_time: 53.8746566772461, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.71512985229492
validation[          , genome  6025] predictions:    6021/  10000 (60.21%), best:    6052/10000 (60.52%), error:     12274.70313, best error:     12080.49902 on epoch:    43, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 767.6901245117s, input_fired_time: 8.4849891663, output_fired_time: 5.8172230721, propagate_forward_time: 272.0579223633, propagate_backward_time: 459.9383239746, weight_update_time: 1.0342390537, other_time: 21.3916931152
epoch time: 57.6731033325s, input_fired_time: 1.0409724712, output_fired_time: 0.0000000000, propagate_forward_time: 53.2750663757, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3570632935
validation[          , genome  6025] predictions:    6072/  10000 (60.72%), best:    6052/10000 (60.52%), error:     12101.47461, best error:     12080.49902 on epoch:    43, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 751.6812744141s, input_fired_time: 8.4414710999, output_fired_time: 5.6810522079, propagate_forward_time: 265.3620910645, propagate_backward_time: 450.7357177734, weight_update_time: 1.0470507145, other_time: 21.4609680176
epoch time: 57.8466987610s, input_fired_time: 1.0511219501, output_fired_time: 0.0000000000, propagate_forward_time: 53.2734985352, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5220794678
validation[          , genome  6025] predictions:    5978/  10000 (59.78%), best:    6052/10000 (60.52%), error:     12333.52832, best error:     12080.49902 on epoch:    43, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 288.0450134277s, input_fired_time: 5.1471161842, output_fired_time: 0.0000000000, propagate_forward_time: 265.0702819824, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 17.8276062012
best training[          , genome  6025] predictions:   35923/  50000 (71.85%), best:    6052/10000 (60.52%), error:     40545.64453, best error:     12080.49902 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 57.3924674988s, input_fired_time: 1.0261571407, output_fired_time: 0.0000000000, propagate_forward_time: 52.8087120056, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5575981140
   testing[          , genome  6025] predictions:    6052/  10000 (60.52%), best:    6052/10000 (60.52%), error:     12080.49902, best error:     12080.49902 on epoch:    43, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
19:47:12 (12072): called boinc_finish(0)

</stderr_txt>
]]>