Nameexact_genome_1542031203_167_5595_1
Workunit4081736
Created12 Nov 2018, 19:26:39 UTC
Sent12 Nov 2018, 19:30:17 UTC
Report deadline14 Dec 2018, 15:02:52 UTC
Received10 Dec 2018, 4:36:15 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID64195
Run time13 hours 41 min 12 sec
CPU time13 hours 40 min 54 sec
Validate stateValid
Credit7,953.58
Device peak FLOPS3.83 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size527.65 MB
Peak swap size547.27 MB
Peak disk usage12.94 MB

Stderr output

<core_client_version>7.12.1</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'
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_1542031203_167_5595.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5595_1_r386197741_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5595.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: 5595
read normal distribution: '1 0 0'
generator_str: '444396906'
read generator: 444396906
read generated_by_map:
1 crossover 1
reading 104 nodes.
reading 454 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: 30674876
post shuffle 1: 2079665378
epoch time: 2109.47729492188s, input_fired_time: 11.6072635650635, output_fired_time: 10.8067836761475, propagate_forward_time: 806.535034179688, propagate_backward_time: 1265.07092285156, weight_update_time: 1.54643034934998, other_time: 15.457275390625
epoch time: 156.880004882813s, input_fired_time: 1.36043989658356, output_fired_time: 0, propagate_forward_time: 152.909118652344, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.61044311523438
validation[          , genome  5595] predictions:    4682/  10000 (46.82%), best:    4682/10000 (46.82%), error:     19490.46094, best error:     19490.46094 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 1984.8789062500s, input_fired_time: 11.0851945877, output_fired_time: 10.1654052734, propagate_forward_time: 753.8618164063, propagate_backward_time: 1195.0601806641, weight_update_time: 1.4859914780, other_time: 14.7062988281
epoch time: 149.3056182861s, input_fired_time: 1.2990980148, output_fired_time: 0.0000000000, propagate_forward_time: 145.5536956787, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4528198242
validation[          , genome  5595] predictions:    4919/  10000 (49.19%), best:    4919/10000 (49.19%), error:     17083.50977, best error:     17083.50977 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 1925.8754882813s, input_fired_time: 10.8355216980, output_fired_time: 9.9240665436, propagate_forward_time: 730.8908081055, propagate_backward_time: 1160.0008544922, weight_update_time: 1.4464938641, other_time: 14.2242431641
epoch time: 144.8128814697s, input_fired_time: 1.2577579021, output_fired_time: 0.0000000000, propagate_forward_time: 141.1327056885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4224243164
validation[          , genome  5595] predictions:    4898/  10000 (48.98%), best:    4919/10000 (49.19%), error:     17586.60547, best error:     17083.50977 on epoch:     1, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 1906.0168457031s, input_fired_time: 10.7293100357, output_fired_time: 9.8576679230, propagate_forward_time: 719.5845947266, propagate_backward_time: 1151.7744140625, weight_update_time: 1.4327247143, other_time: 14.0708007813
epoch time: 147.2368621826s, input_fired_time: 1.2655237913, output_fired_time: 0.0000000000, propagate_forward_time: 143.5024566650, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4688873291
validation[          , genome  5595] predictions:    4697/  10000 (46.97%), best:    4919/10000 (49.19%), error:     18778.40430, best error:     17083.50977 on epoch:     1, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 1873.7606201172s, input_fired_time: 10.6237039566, output_fired_time: 9.7858333588, propagate_forward_time: 706.5929565430, propagate_backward_time: 1132.6822509766, weight_update_time: 1.4270007610, other_time: 14.0758056641
epoch time: 141.7474670410s, input_fired_time: 1.2549018860, output_fired_time: 0.0000000000, propagate_forward_time: 138.0688018799, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4237670898
validation[          , genome  5595] predictions:    5073/  10000 (50.73%), best:    5073/10000 (50.73%), error:     15978.41602, best error:     15978.41602 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 1841.7587890625s, input_fired_time: 10.5392217636, output_fired_time: 9.5845575333, propagate_forward_time: 696.0116577148, propagate_backward_time: 1111.7054443359, weight_update_time: 1.4065997601, other_time: 13.9178466797
epoch time: 146.0866394043s, input_fired_time: 1.2617936134, output_fired_time: 0.0000000000, propagate_forward_time: 142.3745880127, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4502563477
validation[          , genome  5595] predictions:    4924/  10000 (49.24%), best:    5073/10000 (50.73%), error:     17317.39648, best error:     15978.41602 on epoch:     4, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 1848.3735351563s, input_fired_time: 10.5335083008, output_fired_time: 9.5749149323, propagate_forward_time: 695.9680786133, propagate_backward_time: 1118.2498779297, weight_update_time: 1.4175530672, other_time: 14.0472412109
epoch time: 143.2283935547s, input_fired_time: 1.2625905275, output_fired_time: 0.0000000000, propagate_forward_time: 139.5033721924, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4624328613
validation[          , genome  5595] predictions:    5462/  10000 (54.62%), best:    5462/10000 (54.62%), error:     14172.40430, best error:     14172.40430 on epoch:     6, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 1946.8164062500s, input_fired_time: 10.9067115784, output_fired_time: 10.0569562912, propagate_forward_time: 738.7588500977, propagate_backward_time: 1172.6862792969, weight_update_time: 1.4589058161, other_time: 14.4074707031
epoch time: 152.6170806885s, input_fired_time: 1.3004772663, output_fired_time: 0.0000000000, propagate_forward_time: 148.7383422852, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5782623291
validation[          , genome  5595] predictions:    5024/  10000 (50.24%), best:    5462/10000 (54.62%), error:     15618.84961, best error:     14172.40430 on epoch:     6, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 1928.7794189453s, input_fired_time: 10.8356533051, output_fired_time: 10.0192050934, propagate_forward_time: 730.0568847656, propagate_backward_time: 1163.7220458984, weight_update_time: 1.4384589195, other_time: 14.1456298828
epoch time: 146.1920776367s, input_fired_time: 1.2832634449, output_fired_time: 0.0000000000, propagate_forward_time: 142.4622344971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4465789795
validation[          , genome  5595] predictions:    5217/  10000 (52.17%), best:    5462/10000 (54.62%), error:     15248.98633, best error:     14172.40430 on epoch:     6, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

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_1542031203_167_5595.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542031203_167_5595_1_r386197741_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: 0.681178
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00787812
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000315125
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: 9
read max_epochs: 25
read reset_weights: 0
read padding: 2
read best_epoch: 6
read number_validation_images: 10000
read best_validation_predictions: 5462
read best_validation_error: 14172.4
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: 5595
read normal distribution: '1 0 0'
generator_str: '917911144'
read generator: 917911144
read generated_by_map:
1 crossover 1
reading 104 nodes.
reading 454 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: 1970.41271972656s, input_fired_time: 23.8859176635742, output_fired_time: 19.2376976013184, propagate_forward_time: 706.342712402344, propagate_backward_time: 1168.41076660156, weight_update_time: 3.26556944847107, other_time: 52.5357666015625
epoch time: 160.078689575195s, input_fired_time: 3.43497943878174, output_fired_time: 0, propagate_forward_time: 147.817672729492, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.82603454589844
validation[          , genome  5595] predictions:    5150/  10000 (51.50%), best:    5462/10000 (54.62%), error:     15080.16211, best error:     14172.40430 on epoch:     6, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2064.1384277344s, input_fired_time: 24.5001411438, output_fired_time: 19.7208576202, propagate_forward_time: 742.6657104492, propagate_backward_time: 1221.9858398438, weight_update_time: 3.3677968979, other_time: 55.2658691406
epoch time: 162.1619415283s, input_fired_time: 3.4744873047, output_fired_time: 0.0000000000, propagate_forward_time: 149.2749176025, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.4125366211
validation[          , genome  5595] predictions:    5500/  10000 (55.00%), best:    5462/10000 (54.62%), error:     14189.63184, best error:     14172.40430 on epoch:     6, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2141.1555175781s, input_fired_time: 24.2379932404, output_fired_time: 19.6040782928, propagate_forward_time: 773.4041748047, propagate_backward_time: 1267.5552978516, weight_update_time: 3.3492548466, other_time: 56.3540039063
epoch time: 171.3932342529s, input_fired_time: 2.6436791420, output_fired_time: 0.0000000000, propagate_forward_time: 160.5590820313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1904754639
validation[          , genome  5595] predictions:    5513/  10000 (55.13%), best:    5513/10000 (55.13%), error:     13725.32129, best error:     13725.32129 on epoch:    11, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2029.7092285156s, input_fired_time: 18.8935108185, output_fired_time: 15.4414186478, propagate_forward_time: 738.7114257813, propagate_backward_time: 1213.8902587891, weight_update_time: 2.6927068233, other_time: 42.7725830078
epoch time: 163.3640289307s, input_fired_time: 2.7849528790, output_fired_time: 0.0000000000, propagate_forward_time: 152.4871826172, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0918884277
validation[          , genome  5595] predictions:    5451/  10000 (54.51%), best:    5513/10000 (55.13%), error:     14184.64355, best error:     13725.32129 on epoch:    11, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2063.7248535156s, input_fired_time: 18.7591743469, output_fired_time: 15.3921556473, propagate_forward_time: 756.6683959961, propagate_backward_time: 1229.7478027344, weight_update_time: 2.6936793327, other_time: 43.1572265625
epoch time: 170.9328308105s, input_fired_time: 2.8617806435, output_fired_time: 0.0000000000, propagate_forward_time: 159.7403411865, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.3307037354
validation[          , genome  5595] predictions:    5430/  10000 (54.30%), best:    5513/10000 (55.13%), error:     13938.60352, best error:     13725.32129 on epoch:    11, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 1932.0736083984s, input_fired_time: 14.2167749405, output_fired_time: 12.2562398911, propagate_forward_time: 712.8995361328, propagate_backward_time: 1163.4365234375, weight_update_time: 2.0289115906, other_time: 29.2645263672
epoch time: 145.3794403076s, input_fired_time: 1.4836983681, output_fired_time: 0.0000000000, propagate_forward_time: 140.1917419434, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7039947510
validation[          , genome  5595] predictions:    5354/  10000 (53.54%), best:    5513/10000 (55.13%), error:     14704.83594, best error:     13725.32129 on epoch:    11, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 1917.3677978516s, input_fired_time: 12.4430570602, output_fired_time: 11.0277090073, propagate_forward_time: 713.1381225586, propagate_backward_time: 1157.5125732422, weight_update_time: 1.7590887547, other_time: 23.2462158203
epoch time: 150.8759307861s, input_fired_time: 1.5850896835, output_fired_time: 0.0000000000, propagate_forward_time: 144.4293060303, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8615417480
validation[          , genome  5595] predictions:    5440/  10000 (54.40%), best:    5513/10000 (55.13%), error:     14428.14063, best error:     13725.32129 on epoch:    11, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 1662.4628906250s, input_fired_time: 10.9999418259, output_fired_time: 9.5670785904, propagate_forward_time: 613.4797363281, propagate_backward_time: 1009.4424438477, weight_update_time: 1.5106074810, other_time: 18.9735717773
epoch time: 109.2873764038s, input_fired_time: 1.0733242035, output_fired_time: 0.0000000000, propagate_forward_time: 106.0941925049, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1198577881
validation[          , genome  5595] predictions:    5296/  10000 (52.96%), best:    5513/10000 (55.13%), error:     15284.62500, best error:     13725.32129 on epoch:    11, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 1332.2058105469s, input_fired_time: 8.9716682434, output_fired_time: 7.2625975609, propagate_forward_time: 485.1404113770, propagate_backward_time: 819.2448730469, weight_update_time: 1.1647075415, other_time: 11.5863037109
epoch time: 89.0302734375s, input_fired_time: 0.9387999773, output_fired_time: 0.0000000000, propagate_forward_time: 86.1537246704, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9377517700
validation[          , genome  5595] predictions:    5498/  10000 (54.98%), best:    5513/10000 (55.13%), error:     14085.29199, best error:     13725.32129 on epoch:    11, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 1329.4306640625s, input_fired_time: 8.9323816299, output_fired_time: 7.2804131508, propagate_forward_time: 483.7150573730, propagate_backward_time: 817.9335937500, weight_update_time: 1.1653202772, other_time: 11.5692138672
epoch time: 106.2740707397s, input_fired_time: 1.0445137024, output_fired_time: 0.0000000000, propagate_forward_time: 103.1395950317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0899581909
validation[          , genome  5595] predictions:    5471/  10000 (54.71%), best:    5513/10000 (55.13%), error:     14659.74219, best error:     13725.32129 on epoch:    11, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 1279.2015380859s, input_fired_time: 8.8231573105, output_fired_time: 7.0383796692, propagate_forward_time: 463.2413330078, propagate_backward_time: 788.7234497070, weight_update_time: 1.1461558342, other_time: 11.3753051758
epoch time: 91.3097229004s, input_fired_time: 0.9643599987, output_fired_time: 0.0000000000, propagate_forward_time: 88.3923797607, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9529800415
validation[          , genome  5595] predictions:    5661/  10000 (56.61%), best:    5661/10000 (56.61%), error:     13427.75195, best error:     13427.75195 on epoch:    19, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 1329.3743896484s, input_fired_time: 9.0132970810, output_fired_time: 7.2887749672, propagate_forward_time: 483.4520874023, propagate_backward_time: 818.0012207031, weight_update_time: 1.1707251072, other_time: 11.6189575195
epoch time: 103.4664611816s, input_fired_time: 1.0129345655, output_fired_time: 0.0000000000, propagate_forward_time: 100.3780899048, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0754394531
validation[          , genome  5595] predictions:    5246/  10000 (52.46%), best:    5661/10000 (56.61%), error:     16168.85449, best error:     13427.75195 on epoch:    19, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 1325.2529296875s, input_fired_time: 8.9778537750, output_fired_time: 7.2632951736, propagate_forward_time: 482.3056335449, propagate_backward_time: 815.1010131836, weight_update_time: 1.1658529043, other_time: 11.6050415039
epoch time: 109.1230468750s, input_fired_time: 1.0796676874, output_fired_time: 0.0000000000, propagate_forward_time: 105.9643173218, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0790634155
validation[          , genome  5595] predictions:    5792/  10000 (57.92%), best:    5792/10000 (57.92%), error:     12756.87793, best error:     12756.87793 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 1234.8666992188s, input_fired_time: 8.6937904358, output_fired_time: 6.8681850433, propagate_forward_time: 444.0791931152, propagate_backward_time: 763.9874877930, weight_update_time: 1.1223691702, other_time: 11.2379760742
epoch time: 89.2191238403s, input_fired_time: 0.9603056908, output_fired_time: 0.0000000000, propagate_forward_time: 86.3143234253, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9444961548
validation[          , genome  5595] predictions:    5690/  10000 (56.90%), best:    5792/10000 (57.92%), error:     13061.13379, best error:     12756.87793 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 1237.5585937500s, input_fired_time: 8.7879695892, output_fired_time: 6.8867297173, propagate_forward_time: 445.1697082520, propagate_backward_time: 765.4265136719, weight_update_time: 1.1248141527, other_time: 11.2877197266
epoch time: 95.7125244141s, input_fired_time: 0.9921802878, output_fired_time: 0.0000000000, propagate_forward_time: 92.7438735962, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9764709473
validation[          , genome  5595] predictions:    5816/  10000 (58.16%), best:    5792/10000 (57.92%), error:     12859.59766, best error:     12756.87793 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 1376.7352294922s, input_fired_time: 9.1797618866, output_fired_time: 7.4759869576, propagate_forward_time: 503.5128784180, propagate_backward_time: 844.7615356445, weight_update_time: 1.1879693270, other_time: 11.8050537109
epoch time: 128.1117553711s, input_fired_time: 1.1829866171, output_fired_time: 0.0000000000, propagate_forward_time: 124.5992584229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3295135498
validation[          , genome  5595] predictions:    5233/  10000 (52.33%), best:    5792/10000 (57.92%), error:     14872.09863, best error:     12756.87793 on epoch:    21, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 1454.5332031250s, input_fired_time: 9.4588012695, output_fired_time: 7.7933635712, propagate_forward_time: 535.4766845703, propagate_backward_time: 889.7566528320, weight_update_time: 1.2213753462, other_time: 12.0477905273
epoch time: 96.9761352539s, input_fired_time: 0.9793697000, output_fired_time: 0.0000000000, propagate_forward_time: 94.0096130371, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9871520996
validation[          , genome  5595] predictions:    5565/  10000 (55.65%), best:    5792/10000 (57.92%), error:     13757.54102, best error:     12756.87793 on epoch:    21, 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: 594.9785766602s, input_fired_time: 5.7654805183, output_fired_time: 0.0000000000, propagate_forward_time: 578.0626831055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 11.1503906250
best training[          , genome  5595] predictions:   32879/  50000 (65.76%), best:    5792/10000 (57.92%), error:     50079.32813, best error:     12756.87793 on epoch:    21, 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: 115.3431930542s, input_fired_time: 1.1190661192, output_fired_time: 0.0000000000, propagate_forward_time: 112.0817718506, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1423568726
   testing[          , genome  5595] predictions:    5792/  10000 (57.92%), best:    5792/10000 (57.92%), error:     12756.87793, best error:     12756.87793 on epoch:    21, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
04:35:05 (44352): called boinc_finish(0)

</stderr_txt>
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