| Name | exact_genome_1542495604_186_6207_2 |
| Workunit | 4096079 |
| Created | 1 Feb 2019, 7:51:22 UTC |
| Sent | 1 Feb 2019, 7:51:23 UTC |
| Report deadline | 17 Apr 2019, 11:42:39 UTC |
| Received | 2 Feb 2019, 17:19:40 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x0) |
| Computer ID | 10687 |
| Run time | 21 hours 38 min 32 sec |
| CPU time | 21 hours 36 min 59 sec |
| Validate state | Valid |
| Credit | 18,790.15 |
| Device peak FLOPS | 4.74 GFLOPS |
| Application version | EXACT Batch Norm With Scaled FMP CNN Trainer v0.34 |
| Peak working set size | 528.78 MB |
| Peak swap size | 527.02 MB |
| Peak disk usage | 9.45 MB |
Stderr output
<core_client_version>7.4.42</core_client_version>
<![CDATA[
<stderr_txt>
9786430
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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: 759.848449707031s, input_fired_time: 12.697286605835, output_fired_time: 4.56218814849854, propagate_forward_time: 271.261566162109, propagate_backward_time: 461.881408691406, weight_update_time: 0.491749882698059, other_time: 9.44601440429688
epoch time: 59.3094367980957s, input_fired_time: 0.789708077907562, output_fired_time: 0, propagate_forward_time: 56.9565010070801, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.56322860717773
validation[ , genome 6207] predictions: 6220/ 10000 (62.20%), best: 6220/10000 (62.20%), error: 11104.51953, best error: 11104.51953 on epoch: 59, epoch: 59/100, mu: 0.9637687802, learning_rate: 0.0000139737, weight_decay: 0.0000271900
epoch time: 800.3677978516s, input_fired_time: 13.3679885864, output_fired_time: 4.8344688416, propagate_forward_time: 284.7808227539, propagate_backward_time: 487.6689147949, weight_update_time: 0.5121518373, other_time: 9.7156066895
epoch time: 60.2148399353s, input_fired_time: 0.7957355976, output_fired_time: 0.0000000000, propagate_forward_time: 57.8177452087, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6013603210
validation[ , genome 6207] predictions: 6236/ 10000 (62.36%), best: 6220/10000 (62.20%), error: 11122.44824, best error: 11104.51953 on epoch: 59, epoch: 60/100, mu: 0.9650331736, learning_rate: 0.0000130642, weight_decay: 0.0000258376
epoch time: 804.8364257813s, input_fired_time: 13.4602699280, output_fired_time: 4.8412365913, propagate_forward_time: 287.2690734863, propagate_backward_time: 489.5302124023, weight_update_time: 0.5169066191, other_time: 9.7356262207
epoch time: 60.4745559692s, input_fired_time: 0.8030403256, output_fired_time: 0.0000000000, propagate_forward_time: 58.0621795654, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6093368530
validation[ , genome 6207] predictions: 6246/ 10000 (62.46%), best: 6220/10000 (62.20%), error: 11126.32422, best error: 11104.51953 on epoch: 59, epoch: 61/100, mu: 0.9662366509, learning_rate: 0.0000122139, weight_decay: 0.0000245524
epoch time: 808.1637573242s, input_fired_time: 13.5140743256, output_fired_time: 4.8725214005, propagate_forward_time: 288.6809387207, propagate_backward_time: 491.3962402344, weight_update_time: 0.5110280514, other_time: 9.6999816895
epoch time: 60.7943572998s, input_fired_time: 0.8100886345, output_fired_time: 0.0000000000, propagate_forward_time: 58.3812408447, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6030273438
validation[ , genome 6207] predictions: 6160/ 10000 (61.60%), best: 6220/10000 (62.20%), error: 11205.31152, best error: 11104.51953 on epoch: 59, epoch: 62/100, mu: 0.9673820734, learning_rate: 0.0000114189, weight_decay: 0.0000233312
epoch time: 808.3742065430s, input_fired_time: 13.5046310425, output_fired_time: 4.8523449898, propagate_forward_time: 288.4480590820, propagate_backward_time: 491.8066101074, weight_update_time: 0.5147227645, other_time: 9.7625427246
epoch time: 60.6475296021s, input_fired_time: 0.8046797514, output_fired_time: 0.0000000000, propagate_forward_time: 58.2201919556, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6226577759
validation[ , genome 6207] predictions: 6150/ 10000 (61.50%), best: 6220/10000 (62.20%), error: 11279.02441, best error: 11104.51953 on epoch: 59, epoch: 63/100, mu: 0.9684723020, learning_rate: 0.0000106757, weight_decay: 0.0000221707
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.96951
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 9.98085e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 2.1068e-05
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6220
read best_validation_error: 11104.5
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '888529157'
read generator: 888529157
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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!
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.96951
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 9.98085e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 2.1068e-05
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6220
read best_validation_error: 11104.5
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '888529157'
read generator: 888529157
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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!
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.96951
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 9.98085e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 2.1068e-05
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 64
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 59
read number_validation_images: 10000
read best_validation_predictions: 6220
read best_validation_error: 11104.5
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '888529157'
read generator: 888529157
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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: 733.073974609375s, input_fired_time: 12.2561588287354, output_fired_time: 4.35981321334839, propagate_forward_time: 261.3505859375, propagate_backward_time: 446.085876464844, weight_update_time: 0.472629249095917, other_time: 9.02154541015625
epoch time: 57.2739067077637s, input_fired_time: 0.761563718318939, output_fired_time: 0, propagate_forward_time: 54.9800910949707, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.53225326538086
validation[ , genome 6207] predictions: 6274/ 10000 (62.74%), best: 6274/10000 (62.74%), error: 11065.65430, best error: 11065.65430 on epoch: 64, epoch: 64/100, mu: 0.9695099592, learning_rate: 0.0000099808, weight_decay: 0.0000210680
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.970498
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 9.33122e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 2.00201e-05
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 65
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 64
read number_validation_images: 10000
read best_validation_predictions: 6274
read best_validation_error: 11065.7
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '947414660'
read generator: 947414660
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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: 735.013061523438s, input_fired_time: 12.3415431976318, output_fired_time: 4.35623741149902, propagate_forward_time: 262.147705078125, propagate_backward_time: 447.262145996094, weight_update_time: 0.462784886360168, other_time: 8.9053955078125
epoch time: 58.5196800231934s, input_fired_time: 0.780139565467834, output_fired_time: 0, propagate_forward_time: 56.2010879516602, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.5384521484375
validation[ , genome 6207] predictions: 6224/ 10000 (62.24%), best: 6274/10000 (62.74%), error: 11133.92480, best error: 11065.65430 on epoch: 64, epoch: 65/100, mu: 0.9704976082, learning_rate: 0.0000093312, weight_decay: 0.0000200201
epoch time: 787.2944946289s, input_fired_time: 13.1856317520, output_fired_time: 4.6743431091, propagate_forward_time: 280.3226013184, propagate_backward_time: 479.7424011230, weight_update_time: 0.4984267652, other_time: 9.3695678711
epoch time: 59.2317962646s, input_fired_time: 0.7920141816, output_fired_time: 0.0000000000, propagate_forward_time: 56.8904266357, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5493545532
validation[ , genome 6207] predictions: 6273/ 10000 (62.73%), best: 6273/10000 (62.73%), error: 11054.27344, best error: 11054.27344 on epoch: 66, epoch: 66/100, mu: 0.9714376926, learning_rate: 0.0000087239, weight_decay: 0.0000190243
epoch time: 784.6891479492s, input_fired_time: 13.1506872177, output_fired_time: 4.6624236107, propagate_forward_time: 279.4275207520, propagate_backward_time: 478.1267395020, weight_update_time: 0.4959351718, other_time: 9.3217773438
epoch time: 58.3490753174s, input_fired_time: 0.7809928656, output_fired_time: 0.0000000000, propagate_forward_time: 56.0170974731, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5509834290
validation[ , genome 6207] predictions: 6197/ 10000 (61.97%), best: 6273/10000 (62.73%), error: 11077.63281, best error: 11054.27344 on epoch: 66, epoch: 67/100, mu: 0.9723324180, learning_rate: 0.0000081561, weight_decay: 0.0000180781
epoch time: 786.8508911133s, input_fired_time: 13.1487712860, output_fired_time: 4.6449565887, propagate_forward_time: 280.1798095703, propagate_backward_time: 479.4757080078, weight_update_time: 0.5003421903, other_time: 9.4016723633
epoch time: 58.7023887634s, input_fired_time: 0.7854830027, output_fired_time: 0.0000000000, propagate_forward_time: 56.3699874878, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5469169617
validation[ , genome 6207] predictions: 6124/ 10000 (61.24%), best: 6273/10000 (62.73%), error: 11240.16113, best error: 11054.27344 on epoch: 66, epoch: 68/100, mu: 0.9731840491, learning_rate: 0.0000076252, weight_decay: 0.0000171789
epoch time: 786.8489990234s, input_fired_time: 13.1770372391, output_fired_time: 4.6529970169, propagate_forward_time: 280.3857116699, propagate_backward_time: 479.2949523926, weight_update_time: 0.4984504282, other_time: 9.3382568359
epoch time: 58.6336708069s, input_fired_time: 0.7828875780, output_fired_time: 0.0000000000, propagate_forward_time: 56.3101730347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5406112671
validation[ , genome 6207] predictions: 6224/ 10000 (62.24%), best: 6273/10000 (62.73%), error: 11156.76270, best error: 11054.27344 on epoch: 66, epoch: 69/100, mu: 0.9739946127, learning_rate: 0.0000071289, weight_decay: 0.0000163244
epoch time: 786.0444335938s, input_fired_time: 13.1669502258, output_fired_time: 4.6273212433, propagate_forward_time: 279.6772460938, propagate_backward_time: 479.2041625977, weight_update_time: 0.4996619225, other_time: 9.3687744141
epoch time: 59.7066535950s, input_fired_time: 0.8010519743, output_fired_time: 0.0000000000, propagate_forward_time: 57.3414382935, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5641632080
validation[ , genome 6207] predictions: 6264/ 10000 (62.64%), best: 6264/10000 (62.64%), error: 11011.91895, best error: 11011.91895 on epoch: 70, epoch: 70/100, mu: 0.9747661352, learning_rate: 0.0000066649, weight_decay: 0.0000155124
epoch time: 783.2758789063s, input_fired_time: 13.1154832840, output_fired_time: 4.6510791779, propagate_forward_time: 279.0050964355, propagate_backward_time: 477.1887207031, weight_update_time: 0.4948562682, other_time: 9.3155212402
epoch time: 58.8416366577s, input_fired_time: 0.7840759754, output_fired_time: 0.0000000000, propagate_forward_time: 56.5187644958, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5387954712
validation[ , genome 6207] predictions: 6249/ 10000 (62.49%), best: 6264/10000 (62.64%), error: 11075.58301, best error: 11011.91895 on epoch: 70, epoch: 71/100, mu: 0.9755004644, learning_rate: 0.0000062311, weight_decay: 0.0000147409
epoch time: 784.2549438477s, input_fired_time: 13.1598911285, output_fired_time: 4.6287059784, propagate_forward_time: 279.6667175293, propagate_backward_time: 477.4263000488, weight_update_time: 0.4987197220, other_time: 9.3732910156
epoch time: 59.0674133301s, input_fired_time: 0.7903652787, output_fired_time: 0.0000000000, propagate_forward_time: 56.7269439697, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5501022339
validation[ , genome 6207] predictions: 6196/ 10000 (61.96%), best: 6264/10000 (62.64%), error: 11118.49121, best error: 11011.91895 on epoch: 70, epoch: 72/100, mu: 0.9761993885, learning_rate: 0.0000058255, weight_decay: 0.0000140077
epoch time: 787.0975952148s, input_fired_time: 13.1980886459, output_fired_time: 4.6661648750, propagate_forward_time: 280.3454284668, propagate_backward_time: 479.5602111816, weight_update_time: 0.4973691702, other_time: 9.3277587891
epoch time: 58.8194541931s, input_fired_time: 0.7870225310, output_fired_time: 0.0000000000, propagate_forward_time: 56.4833030701, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5491294861
validation[ , genome 6207] predictions: 6230/ 10000 (62.30%), best: 6264/10000 (62.64%), error: 11048.30762, best error: 11011.91895 on epoch: 70, epoch: 73/100, mu: 0.9768646359, learning_rate: 0.0000054464, weight_decay: 0.0000133109
epoch time: 788.8434448242s, input_fired_time: 13.2560977936, output_fired_time: 4.6890211105, propagate_forward_time: 281.3096008301, propagate_backward_time: 480.2233886719, weight_update_time: 0.4984150827, other_time: 9.3653259277
epoch time: 58.8879776001s, input_fired_time: 0.7858552337, output_fired_time: 0.0000000000, propagate_forward_time: 56.5552787781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5468444824
validation[ , genome 6207] predictions: 6148/ 10000 (61.48%), best: 6264/10000 (62.64%), error: 11171.27637, best error: 11011.91895 on epoch: 70, epoch: 74/100, mu: 0.9774978161, learning_rate: 0.0000050919, weight_decay: 0.0000126489
epoch time: 791.6547851563s, input_fired_time: 13.2531776428, output_fired_time: 4.7040033340, propagate_forward_time: 281.4183959961, propagate_backward_time: 482.8789062500, weight_update_time: 0.4988240004, other_time: 9.4003295898
epoch time: 58.7640075684s, input_fired_time: 0.7858672738, output_fired_time: 0.0000000000, propagate_forward_time: 56.4389686584, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5391731262
validation[ , genome 6207] predictions: 6270/ 10000 (62.70%), best: 6264/10000 (62.64%), error: 11040.03027, best error: 11011.91895 on epoch: 70, epoch: 75/100, mu: 0.9781004786, learning_rate: 0.0000047605, weight_decay: 0.0000120197
epoch time: 792.1437377930s, input_fired_time: 13.3072338104, output_fired_time: 4.7133641243, propagate_forward_time: 282.6803588867, propagate_backward_time: 481.8784179688, weight_update_time: 0.5079667568, other_time: 9.5643310547
epoch time: 59.3642959595s, input_fired_time: 0.7966954708, output_fired_time: 0.0000000000, propagate_forward_time: 57.0098991394, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5577011108
validation[ , genome 6207] predictions: 6220/ 10000 (62.20%), best: 6264/10000 (62.64%), error: 11039.89844, best error: 11011.91895 on epoch: 70, epoch: 76/100, mu: 0.9786740541, learning_rate: 0.0000044506, weight_decay: 0.0000114219
epoch time: 791.5965576172s, input_fired_time: 13.2609968185, output_fired_time: 4.6613531113, propagate_forward_time: 282.1690063477, propagate_backward_time: 482.0933227539, weight_update_time: 0.5015836954, other_time: 9.4118652344
epoch time: 59.6496772766s, input_fired_time: 0.8012835979, output_fired_time: 0.0000000000, propagate_forward_time: 57.2608337402, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5875587463
validation[ , genome 6207] predictions: 6241/ 10000 (62.41%), best: 6264/10000 (62.64%), error: 11048.45605, best error: 11011.91895 on epoch: 70, epoch: 77/100, mu: 0.9792199731, learning_rate: 0.0000041609, weight_decay: 0.0000108538
epoch time: 793.7442626953s, input_fired_time: 13.3370828629, output_fired_time: 4.7272124290, propagate_forward_time: 282.7750549316, propagate_backward_time: 483.4979553223, weight_update_time: 0.5001258850, other_time: 9.4069213867
epoch time: 59.4835205078s, input_fired_time: 0.7979601026, output_fired_time: 0.0000000000, propagate_forward_time: 57.1404571533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5451049805
validation[ , genome 6207] predictions: 6233/ 10000 (62.33%), best: 6264/10000 (62.64%), error: 11017.98145, best error: 11011.91895 on epoch: 70, epoch: 78/100, mu: 0.9797396064, learning_rate: 0.0000038901, weight_decay: 0.0000103139
epoch time: 799.0643920898s, input_fired_time: 13.4099102020, output_fired_time: 4.7632007599, propagate_forward_time: 284.5365600586, propagate_backward_time: 486.9087829590, weight_update_time: 0.5046966076, other_time: 9.4459533691
epoch time: 60.0800132751s, input_fired_time: 0.8064107895, output_fired_time: 0.0000000000, propagate_forward_time: 57.7102317810, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5633697510
validation[ , genome 6207] predictions: 6238/ 10000 (62.38%), best: 6238/10000 (62.38%), error: 11002.94824, best error: 11002.94824 on epoch: 79, epoch: 79/100, mu: 0.9802342057, learning_rate: 0.0000036369, weight_decay: 0.0000098009
epoch time: 799.1633911133s, input_fired_time: 13.4498777390, output_fired_time: 4.7392072678, propagate_forward_time: 285.5304260254, propagate_backward_time: 485.9813842773, weight_update_time: 0.5052011013, other_time: 9.4624938965
epoch time: 59.5088958740s, input_fired_time: 0.7973111272, output_fired_time: 0.0000000000, propagate_forward_time: 57.1319351196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5796508789
validation[ , genome 6207] predictions: 6219/ 10000 (62.19%), best: 6238/10000 (62.38%), error: 11132.71777, best error: 11002.94824 on epoch: 79, epoch: 80/100, mu: 0.9807049632, learning_rate: 0.0000034002, weight_decay: 0.0000093134
epoch time: 795.4307861328s, input_fired_time: 13.3363332748, output_fired_time: 4.7068724632, propagate_forward_time: 283.4846496582, propagate_backward_time: 484.4889221191, weight_update_time: 0.5025527477, other_time: 9.4140625000
epoch time: 59.8135299683s, input_fired_time: 0.8036311865, output_fired_time: 0.0000000000, propagate_forward_time: 57.4556388855, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5542602539
validation[ , genome 6207] predictions: 6252/ 10000 (62.52%), best: 6252/10000 (62.52%), error: 10964.26855, best error: 10964.26855 on epoch: 81, epoch: 81/100, mu: 0.9811530113, learning_rate: 0.0000031789, weight_decay: 0.0000088502
epoch time: 797.0328369141s, input_fired_time: 13.3857011795, output_fired_time: 4.7372817993, propagate_forward_time: 283.9929809570, propagate_backward_time: 485.4715576172, weight_update_time: 0.5021848083, other_time: 9.4453125000
epoch time: 59.8846168518s, input_fired_time: 0.8052071333, output_fired_time: 0.0000000000, propagate_forward_time: 57.5351905823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5442199707
validation[ , genome 6207] predictions: 6243/ 10000 (62.43%), best: 6252/10000 (62.52%), error: 11112.39746, best error: 10964.26855 on epoch: 81, epoch: 82/100, mu: 0.9815794826, learning_rate: 0.0000029720, weight_decay: 0.0000084100
epoch time: 794.4639282227s, input_fired_time: 13.3426828384, output_fired_time: 4.7481837273, propagate_forward_time: 282.9692077637, propagate_backward_time: 483.9935607910, weight_update_time: 0.5016007423, other_time: 9.4102783203
epoch time: 59.2274703979s, input_fired_time: 0.7977988124, output_fired_time: 0.0000000000, propagate_forward_time: 56.8706626892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5590095520
validation[ , genome 6207] predictions: 6274/ 10000 (62.74%), best: 6252/10000 (62.52%), error: 11022.63281, best error: 10964.26855 on epoch: 81, epoch: 83/100, mu: 0.9819853902, learning_rate: 0.0000027786, weight_decay: 0.0000079917
epoch time: 793.1380615234s, input_fired_time: 13.3000497818, output_fired_time: 4.7154159546, propagate_forward_time: 282.2418518066, propagate_backward_time: 483.4520874023, weight_update_time: 0.5040104985, other_time: 9.4286804199
epoch time: 59.2808456421s, input_fired_time: 0.7933526635, output_fired_time: 0.0000000000, propagate_forward_time: 56.9259948730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5614967346
validation[ , genome 6207] predictions: 6287/ 10000 (62.87%), best: 6252/10000 (62.52%), error: 10970.94434, best error: 10964.26855 on epoch: 81, epoch: 84/100, mu: 0.9823716879, learning_rate: 0.0000025977, weight_decay: 0.0000075942
epoch time: 786.1831665039s, input_fired_time: 13.1936397552, output_fired_time: 4.6181979179, propagate_forward_time: 280.3070983887, propagate_backward_time: 478.7745666504, weight_update_time: 0.4946314991, other_time: 9.2896118164
epoch time: 58.6099357605s, input_fired_time: 0.7860229611, output_fired_time: 0.0000000000, propagate_forward_time: 56.2759284973, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5479850769
validation[ , genome 6207] predictions: 6275/ 10000 (62.75%), best: 6275/10000 (62.75%), error: 10959.11426, best error: 10959.11426 on epoch: 85, epoch: 85/100, mu: 0.9827393889, learning_rate: 0.0000024286, weight_decay: 0.0000072164
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.983089
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 2.27056e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 6.85751e-06
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 86
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10959.1
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '474716948'
read generator: 474716948
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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!
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_1542495604_186_6207.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542495604_186_6207_2_r1048760655_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: 0.506177
read mu: 0.983089
read mu_delta: 0.951798
read initial_learning_rate: 0.000740994
read learning_rate: 2.27056e-06
read learning_rate_delta: 0.934913
read initial_weight_decay: 0.000551669
read weight_decay: 6.85751e-06
read weight_decay_delta: 0.950261
read batch_size: 96
read epsilon: 1e-07
read alpha: 0.0938649
read input_dropout_probability: 0.00126397
read hidden_dropout_probability: 0.102172
read velocity_reset: 1727
read epoch: 86
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 85
read number_validation_images: 10000
read best_validation_predictions: 6275
read best_validation_error: 10959.1
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: 6207
read normal distribution: '0 -0.521041095256805 0.162812441587448'
generator_str: '474716948'
read generator: 474716948
read generated_by_map:
1 change_size_x 1
reading 69 nodes.
reading 246 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: 735.718200683594s, input_fired_time: 12.3130712509155, output_fired_time: 4.35491800308228, propagate_forward_time: 262.807739257813, propagate_backward_time: 447.335357666016, weight_update_time: 0.465927928686142, other_time: 8.90713500976563
epoch time: 56.7851219177246s, input_fired_time: 0.759610176086426, output_fired_time: 0, propagate_forward_time: 54.5056114196777, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.51990127563477
validation[ , genome 6207] predictions: 6261/ 10000 (62.61%), best: 6275/10000 (62.75%), error: 10970.94531, best error: 10959.11426 on epoch: 85, epoch: 86/100, mu: 0.9830893874, learning_rate: 0.0000022706, weight_decay: 0.0000068575
epoch time: 767.8743896484s, input_fired_time: 12.8501729965, output_fired_time: 4.5217056274, propagate_forward_time: 273.8844909668, propagate_backward_time: 467.5090637207, weight_update_time: 0.4838880301, other_time: 9.1089477539
epoch time: 57.7105255127s, input_fired_time: 0.7730858922, output_fired_time: 0.0000000000, propagate_forward_time: 55.4219627380, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5154762268
validation[ , genome 6207] predictions: 6312/ 10000 (63.12%), best: 6312/10000 (63.12%), error: 10927.10547, best error: 10927.10547 on epoch: 87, epoch: 87/100, mu: 0.9834225178, learning_rate: 0.0000021228, weight_decay: 0.0000065164
epoch time: 770.6014404297s, input_fired_time: 12.9295797348, output_fired_time: 4.5589647293, propagate_forward_time: 275.6655883789, propagate_backward_time: 468.2713012695, weight_update_time: 0.4874999523, other_time: 9.1760253906
epoch time: 58.1044998169s, input_fired_time: 0.7777410746, output_fired_time: 0.0000000000, propagate_forward_time: 55.8096389771, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5171203613
validation[ , genome 6207] predictions: 6300/ 10000 (63.00%), best: 6312/10000 (63.12%), error: 10958.60449, best error: 10927.10547 on epoch: 87, epoch: 88/100, mu: 0.9837395549, learning_rate: 0.0000019846, weight_decay: 0.0000061923
epoch time: 770.8580322266s, input_fired_time: 12.9227342606, output_fired_time: 4.6027169228, propagate_forward_time: 275.5005798340, propagate_backward_time: 468.6698913574, weight_update_time: 0.4858048856, other_time: 9.1621093750
epoch time: 57.8520469666s, input_fired_time: 0.7719857097, output_fired_time: 0.0000000000, propagate_forward_time: 55.5661163330, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5139465332
validation[ , genome 6207] predictions: 6241/ 10000 (62.41%), best: 6312/10000 (63.12%), error: 10976.41016, best error: 10927.10547 on epoch: 87, epoch: 89/100, mu: 0.9840413332, learning_rate: 0.0000018554, weight_decay: 0.0000058843
epoch time: 772.6364135742s, input_fired_time: 12.9469108582, output_fired_time: 4.5603051186, propagate_forward_time: 275.8875122070, propagate_backward_time: 469.9996032715, weight_update_time: 0.4910325110, other_time: 9.2420959473
epoch time: 58.5557098389s, input_fired_time: 0.7811076641, output_fired_time: 0.0000000000, propagate_forward_time: 56.2389793396, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5356216431
validation[ , genome 6207] predictions: 6284/ 10000 (62.84%), best: 6312/10000 (63.12%), error: 10953.30957, best error: 10927.10547 on epoch: 87, epoch: 90/100, mu: 0.9843285680, learning_rate: 0.0000017347, weight_decay: 0.0000055916
epoch time: 772.6273193359s, input_fired_time: 12.9762697220, output_fired_time: 4.5721659660, propagate_forward_time: 276.2828979492, propagate_backward_time: 469.6310729980, weight_update_time: 0.4863433540, other_time: 9.1649475098
epoch time: 58.3120269775s, input_fired_time: 0.7797823548, output_fired_time: 0.0000000000, propagate_forward_time: 56.0124092102, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5198364258
validation[ , genome 6207] predictions: 6286/ 10000 (62.86%), best: 6312/10000 (63.12%), error: 10960.77344, best error: 10927.10547 on epoch: 87, epoch: 91/100, mu: 0.9846019149, learning_rate: 0.0000016218, weight_decay: 0.0000053135
epoch time: 778.2901611328s, input_fired_time: 13.0305585861, output_fired_time: 4.5876150131, propagate_forward_time: 278.2570190430, propagate_backward_time: 473.1517944336, weight_update_time: 0.4916275442, other_time: 9.2631835938
epoch time: 57.9486045837s, input_fired_time: 0.7776843309, output_fired_time: 0.0000000000, propagate_forward_time: 55.6338958740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5370254517
validation[ , genome 6207] predictions: 6302/ 10000 (63.02%), best: 6312/10000 (63.12%), error: 10948.34375, best error: 10927.10547 on epoch: 87, epoch: 92/100, mu: 0.9848620892, learning_rate: 0.0000015162, weight_decay: 0.0000050492
epoch time: 833.6520385742s, input_fired_time: 13.2701158524, output_fired_time: 4.6986670494, propagate_forward_time: 324.6192016602, propagate_backward_time: 481.5927124023, weight_update_time: 0.5033676028, other_time: 9.4713134766
epoch time: 58.0767478943s, input_fired_time: 0.7750609517, output_fired_time: 0.0000000000, propagate_forward_time: 55.7777862549, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5238990784
validation[ , genome 6207] predictions: 6297/ 10000 (62.97%), best: 6297/10000 (62.97%), error: 10916.54980, best error: 10916.54980 on epoch: 93, epoch: 93/100, mu: 0.9851097465, learning_rate: 0.0000014175, weight_decay: 0.0000047981
epoch time: 767.2963256836s, input_fired_time: 12.8690147400, output_fired_time: 4.4966287613, propagate_forward_time: 274.0366821289, propagate_backward_time: 466.8083801270, weight_update_time: 0.4814654887, other_time: 9.0856018066
epoch time: 57.8481292725s, input_fired_time: 0.7758309245, output_fired_time: 0.0000000000, propagate_forward_time: 55.5438499451, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5284500122
validation[ , genome 6207] predictions: 6283/ 10000 (62.83%), best: 6297/10000 (62.97%), error: 10931.80762, best error: 10916.54980 on epoch: 93, epoch: 94/100, mu: 0.9853454828, learning_rate: 0.0000013253, weight_decay: 0.0000045594
epoch time: 768.9782104492s, input_fired_time: 12.8798999786, output_fired_time: 4.5131354332, propagate_forward_time: 274.9561462402, propagate_backward_time: 467.4619750977, weight_update_time: 0.4875188172, other_time: 9.1670837402
epoch time: 57.3639678955s, input_fired_time: 0.7674682140, output_fired_time: 0.0000000000, propagate_forward_time: 55.0939254761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5025749207
validation[ , genome 6207] predictions: 6299/ 10000 (62.99%), best: 6299/10000 (62.99%), error: 10902.21875, best error: 10902.21875 on epoch: 95, epoch: 95/100, mu: 0.9855698347, learning_rate: 0.0000012390, weight_decay: 0.0000043326
epoch time: 769.0289916992s, input_fired_time: 12.8787508011, output_fired_time: 4.5367879868, propagate_forward_time: 274.5224304199, propagate_backward_time: 467.9416198730, weight_update_time: 0.4864276052, other_time: 9.1494140625
epoch time: 57.8553962708s, input_fired_time: 0.7744177580, output_fired_time: 0.0000000000, propagate_forward_time: 55.5756683350, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5053100586
validation[ , genome 6207] predictions: 6287/ 10000 (62.87%), best: 6299/10000 (62.99%), error: 10916.34180, best error: 10902.21875 on epoch: 95, epoch: 96/100, mu: 0.9857833982, learning_rate: 0.0000011584, weight_decay: 0.0000041171
epoch time: 775.0220336914s, input_fired_time: 12.9248723984, output_fired_time: 4.5774765015, propagate_forward_time: 275.6252746582, propagate_backward_time: 472.6581420898, weight_update_time: 0.4900626242, other_time: 9.2362976074
epoch time: 57.7804794312s, input_fired_time: 0.7685726881, output_fired_time: 0.0000000000, propagate_forward_time: 55.4815711975, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5303344727
validation[ , genome 6207] predictions: 6282/ 10000 (62.82%), best: 6299/10000 (62.99%), error: 10976.37500, best error: 10902.21875 on epoch: 95, epoch: 97/100, mu: 0.9859866500, learning_rate: 0.0000010830, weight_decay: 0.0000039124
epoch time: 768.4196166992s, input_fired_time: 12.8902759552, output_fired_time: 4.5260639191, propagate_forward_time: 274.7272033691, propagate_backward_time: 467.1613159180, weight_update_time: 0.4839171469, other_time: 9.1147766113
epoch time: 57.8262481689s, input_fired_time: 0.7744712830, output_fired_time: 0.0000000000, propagate_forward_time: 55.5310287476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5207481384
validation[ , genome 6207] predictions: 6296/ 10000 (62.96%), best: 6299/10000 (62.99%), error: 10917.42578, best error: 10902.21875 on epoch: 95, epoch: 98/100, mu: 0.9861801267, learning_rate: 0.0000010125, weight_decay: 0.0000037178
epoch time: 768.3756713867s, input_fired_time: 12.8414535522, output_fired_time: 4.5126996040, propagate_forward_time: 274.0289306641, propagate_backward_time: 467.7898254395, weight_update_time: 0.4890390635, other_time: 9.2027893066
epoch time: 57.5208892822s, input_fired_time: 0.7706058621, output_fired_time: 0.0000000000, propagate_forward_time: 55.2318763733, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5184059143
validation[ , genome 6207] predictions: 6288/ 10000 (62.88%), best: 6299/10000 (62.99%), error: 10938.17383, best error: 10902.21875 on epoch: 95, epoch: 99/100, mu: 0.9863642454, learning_rate: 0.0000009466, weight_decay: 0.0000035328
epoch time: 771.9710083008s, input_fired_time: 12.9370479584, output_fired_time: 4.5334415436, propagate_forward_time: 275.8670654297, propagate_backward_time: 469.5029296875, weight_update_time: 0.4850303531, other_time: 9.1304931641
epoch time: 57.7614822388s, input_fired_time: 0.7738227248, output_fired_time: 0.0000000000, propagate_forward_time: 55.4509391785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5367202759
validation[ , genome 6207] predictions: 6323/ 10000 (63.23%), best: 6299/10000 (62.99%), error: 10904.54102, best error: 10902.21875 on epoch: 95, epoch: 100/100, mu: 0.9865394831, learning_rate: 0.0000008850, weight_decay: 0.0000033571
evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 286.7954406738s, input_fired_time: 3.8518018723, output_fired_time: 0.0000000000, propagate_forward_time: 275.3794250488, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.5642089844
best training[ , genome 6207] predictions: 33410/ 50000 (66.82%), best: 6299/10000 (62.99%), error: 50417.49219, best error: 10902.21875 on epoch: 95, epoch: 101/100, mu: 0.9867063165, learning_rate: 0.0000008274, weight_decay: 0.0000031901
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 57.7688331604s, input_fired_time: 0.7817499638, output_fired_time: 0.0000000000, propagate_forward_time: 55.4731025696, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5139808655
testing[ , genome 6207] predictions: 6299/ 10000 (62.99%), best: 6299/10000 (62.99%), error: 10902.21875, best error: 10902.21875 on epoch: 95, epoch: 101/100, mu: 0.9867063165, learning_rate: 0.0000008274, weight_decay: 0.0000031901
backpropagation finished successfully!
04:15:43 (5696): called boinc_finish(0)
</stderr_txt>
]]>