Nameexact_genome_1542127803_166_5821_0
Workunit4087212
Created13 Nov 2018, 20:43:07 UTC
Sent13 Nov 2018, 21:25:50 UTC
Report deadline5 Dec 2018, 19:08:41 UTC
Received14 Nov 2018, 12:26:42 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID44167
Run time6 hours 53 min 16 sec
CPU time6 hours 39 min 20 sec
Validate stateValid
Credit5,476.19
Device peak FLOPS3.93 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size522.79 MB
Peak swap size542.54 MB
Peak disk usage11.09 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_166_5821.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542127803_166_5821_0_r1509937858_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from input file: '../../projects/csgrid.org_csg/exact_genome_1542127803_166_5821.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: 5821
read normal distribution: '1 0.217383623123169 1.07503867149353'
generator_str: '468678520'
read generator: 468678520
read generated_by_map:
1 merge_node 1
reading 93 nodes.
reading 379 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: 109868444
post shuffle 1: 1440559900
epoch time: 865.625305175781s, input_fired_time: 12.509108543396, output_fired_time: 9.87920188903809, propagate_forward_time: 311.613220214844, propagate_backward_time: 511.182861328125, weight_update_time: 1.10925149917603, other_time: 20.44091796875
epoch time: 64.4743270874023s, input_fired_time: 1.48768055438995, output_fired_time: 0, propagate_forward_time: 59.2435417175293, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.74310302734375
validation[          , genome  5821] predictions:    4988/  10000 (49.88%), best:    4988/10000 (49.88%), error:     17358.62500, best error:     17358.62500 on epoch:     0, epoch:    0/25, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 820.0966796875s, input_fired_time: 11.6493959427, output_fired_time: 9.0608005524, propagate_forward_time: 297.1962890625, propagate_backward_time: 481.6280212402, weight_update_time: 1.1525828838, other_time: 20.5621643066
epoch time: 64.4462356567s, input_fired_time: 1.4426517487, output_fired_time: 0.0000000000, propagate_forward_time: 59.3206863403, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6828994751
validation[          , genome  5821] predictions:    4886/  10000 (48.86%), best:    4886/10000 (48.86%), error:     16670.04883, best error:     16670.04883 on epoch:     1, epoch:    1/25, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 821.7433471680s, input_fired_time: 11.6614847183, output_fired_time: 9.0634460449, propagate_forward_time: 298.0593566895, propagate_backward_time: 482.3090820313, weight_update_time: 1.1320692301, other_time: 20.6499938965
epoch time: 64.8591995239s, input_fired_time: 1.5189011097, output_fired_time: 0.0000000000, propagate_forward_time: 59.4712333679, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8690643311
validation[          , genome  5821] predictions:    5026/  10000 (50.26%), best:    5026/10000 (50.26%), error:     16257.76758, best error:     16257.76758 on epoch:     2, epoch:    2/25, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

epoch time: 836.0614013672s, input_fired_time: 12.1572513580, output_fired_time: 9.7040834427, propagate_forward_time: 300.5953369141, propagate_backward_time: 493.1450500488, weight_update_time: 1.1374242306, other_time: 20.4596862793
epoch time: 65.2363586426s, input_fired_time: 1.5943776369, output_fired_time: 0.0000000000, propagate_forward_time: 59.9445533752, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6974258423
validation[          , genome  5821] predictions:    4912/  10000 (49.12%), best:    5026/10000 (50.26%), error:     16820.45898, best error:     16257.76758 on epoch:     2, epoch:    3/25, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 850.5213623047s, input_fired_time: 12.1027870178, output_fired_time: 9.4565715790, propagate_forward_time: 306.3150939941, propagate_backward_time: 501.7760620117, weight_update_time: 1.1641047001, other_time: 20.8709106445
epoch time: 65.5562515259s, input_fired_time: 1.4914194345, output_fired_time: 0.0000000000, propagate_forward_time: 60.3294982910, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7353363037
validation[          , genome  5821] predictions:    5144/  10000 (51.44%), best:    5144/10000 (51.44%), error:     15312.98340, best error:     15312.98340 on epoch:     4, epoch:    4/25, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 847.0296020508s, input_fired_time: 12.0998201370, output_fired_time: 9.3288373947, propagate_forward_time: 304.7261352539, propagate_backward_time: 499.8479003906, weight_update_time: 1.2104529142, other_time: 21.0269165039
epoch time: 65.3709030151s, input_fired_time: 1.4862688780, output_fired_time: 0.0000000000, propagate_forward_time: 60.2249946594, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6596412659
validation[          , genome  5821] predictions:    5222/  10000 (52.22%), best:    5222/10000 (52.22%), error:     15065.53125, best error:     15065.53125 on epoch:     5, epoch:    5/25, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 879.3756103516s, input_fired_time: 12.6714954376, output_fired_time: 9.9564094543, propagate_forward_time: 314.1162414551, propagate_backward_time: 521.3419799805, weight_update_time: 1.2296247482, other_time: 21.2894897461
epoch time: 68.8879013062s, input_fired_time: 1.6689131260, output_fired_time: 0.0000000000, propagate_forward_time: 63.4471778870, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7718086243
validation[          , genome  5821] predictions:    5113/  10000 (51.13%), best:    5222/10000 (52.22%), error:     15204.87500, best error:     15065.53125 on epoch:     5, epoch:    6/25, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 868.1450195313s, input_fired_time: 12.4177417755, output_fired_time: 9.7824964523, propagate_forward_time: 310.6690979004, propagate_backward_time: 514.2814331055, weight_update_time: 1.2724062204, other_time: 20.9943237305
epoch time: 64.8384857178s, input_fired_time: 1.4660305977, output_fired_time: 0.0000000000, propagate_forward_time: 59.6879730225, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6844825745
validation[          , genome  5821] predictions:    5201/  10000 (52.01%), best:    5222/10000 (52.22%), error:     15077.69043, best error:     15065.53125 on epoch:     5, epoch:    7/25, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 830.0469970703s, input_fired_time: 11.7614459991, output_fired_time: 9.0843572617, propagate_forward_time: 299.2121276855, propagate_backward_time: 489.2640686035, weight_update_time: 1.2990450859, other_time: 20.7249755859
epoch time: 66.0308151245s, input_fired_time: 1.6128839254, output_fired_time: 0.0000000000, propagate_forward_time: 60.5281982422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8897323608
validation[          , genome  5821] predictions:    5222/  10000 (52.22%), best:    5222/10000 (52.22%), error:     15293.26758, best error:     15065.53125 on epoch:     5, epoch:    8/25, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 847.8991088867s, input_fired_time: 12.0230770111, output_fired_time: 9.4781379700, propagate_forward_time: 306.0187988281, propagate_backward_time: 499.3452453613, weight_update_time: 1.3810160160, other_time: 21.0338439941
epoch time: 68.9949874878s, input_fired_time: 1.7255334854, output_fired_time: 0.0000000000, propagate_forward_time: 63.3436203003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9258346558
validation[          , genome  5821] predictions:    5343/  10000 (53.43%), best:    5343/10000 (53.43%), error:     14509.71777, best error:     14509.71777 on epoch:     9, epoch:    9/25, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 885.7702636719s, input_fired_time: 13.0684175491, output_fired_time: 10.1876544952, propagate_forward_time: 315.6993713379, propagate_backward_time: 525.3304443359, weight_update_time: 1.5076621771, other_time: 21.4843750000
epoch time: 64.4511337280s, input_fired_time: 1.4505505562, output_fired_time: 0.0000000000, propagate_forward_time: 59.4010314941, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5995521545
validation[          , genome  5821] predictions:    5250/  10000 (52.50%), best:    5343/10000 (53.43%), error:     15401.41406, best error:     14509.71777 on epoch:     9, epoch:   10/25, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 821.8621215820s, input_fired_time: 11.5582952499, output_fired_time: 8.9649944305, propagate_forward_time: 296.6776428223, propagate_backward_time: 483.7880249023, weight_update_time: 1.5040811300, other_time: 20.8731994629
epoch time: 65.2330322266s, input_fired_time: 1.6384378672, output_fired_time: 0.0000000000, propagate_forward_time: 59.6789512634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9156417847
validation[          , genome  5821] predictions:    5155/  10000 (51.55%), best:    5343/10000 (53.43%), error:     15898.85254, best error:     14509.71777 on epoch:     9, epoch:   11/25, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 824.7767944336s, input_fired_time: 11.6678533554, output_fired_time: 8.9998388290, propagate_forward_time: 297.7642517090, propagate_backward_time: 485.4162292480, weight_update_time: 1.5080734491, other_time: 20.9286499023
epoch time: 64.4474563599s, input_fired_time: 1.4652252197, output_fired_time: 0.0000000000, propagate_forward_time: 59.2972602844, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.6849708557
validation[          , genome  5821] predictions:    5394/  10000 (53.94%), best:    5394/10000 (53.94%), error:     13680.65234, best error:     13680.65234 on epoch:    12, epoch:   12/25, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 826.7874755859s, input_fired_time: 11.8536672592, output_fired_time: 9.4059972763, propagate_forward_time: 297.2004394531, propagate_backward_time: 487.5071105957, weight_update_time: 1.4749695063, other_time: 20.8202819824
epoch time: 64.8763732910s, input_fired_time: 1.5867582560, output_fired_time: 0.0000000000, propagate_forward_time: 59.4886741638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8009414673
validation[          , genome  5821] predictions:    5272/  10000 (52.72%), best:    5394/10000 (53.94%), error:     14769.05957, best error:     13680.65234 on epoch:    12, epoch:   13/25, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 830.2180786133s, input_fired_time: 11.7859134674, output_fired_time: 9.1344928741, propagate_forward_time: 298.5624084473, propagate_backward_time: 489.9811706543, weight_update_time: 1.4823780060, other_time: 20.7540893555
epoch time: 64.5247116089s, input_fired_time: 1.4711891413, output_fired_time: 0.0000000000, propagate_forward_time: 59.3073196411, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.7462043762
validation[          , genome  5821] predictions:    5361/  10000 (53.61%), best:    5394/10000 (53.94%), error:     14370.73242, best error:     13680.65234 on epoch:    12, epoch:   14/25, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 908.1884765625s, input_fired_time: 12.9634838104, output_fired_time: 10.1146879196, propagate_forward_time: 327.4500122070, propagate_backward_time: 534.8130493164, weight_update_time: 1.6120829582, other_time: 22.8472290039
epoch time: 81.9195098877s, input_fired_time: 1.8857839108, output_fired_time: 0.0000000000, propagate_forward_time: 75.1549835205, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.8787460327
validation[          , genome  5821] predictions:    5312/  10000 (53.12%), best:    5394/10000 (53.94%), error:     14486.36914, best error:     13680.65234 on epoch:    12, epoch:   15/25, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 972.4943847656s, input_fired_time: 14.1483325958, output_fired_time: 10.9423704147, propagate_forward_time: 347.4012145996, propagate_backward_time: 575.5717163086, weight_update_time: 1.7115663290, other_time: 24.4307250977
epoch time: 67.5176544189s, input_fired_time: 1.6520376205, output_fired_time: 0.0000000000, propagate_forward_time: 62.0092582703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8563575745
validation[          , genome  5821] predictions:    5403/  10000 (54.03%), best:    5394/10000 (53.94%), error:     14102.27832, best error:     13680.65234 on epoch:    12, epoch:   16/25, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 855.9391479492s, input_fired_time: 12.2152776718, output_fired_time: 9.7385187149, propagate_forward_time: 305.4481201172, propagate_backward_time: 507.5283508301, weight_update_time: 1.4917454720, other_time: 21.0088806152
epoch time: 65.7318420410s, input_fired_time: 1.6582578421, output_fired_time: 0.0000000000, propagate_forward_time: 60.1807708740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8928146362
validation[          , genome  5821] predictions:    5427/  10000 (54.27%), best:    5394/10000 (53.94%), error:     13876.93066, best error:     13680.65234 on epoch:    12, epoch:   17/25, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 830.7263793945s, input_fired_time: 11.7425231934, output_fired_time: 9.0963516235, propagate_forward_time: 298.0456848145, propagate_backward_time: 491.1867065430, weight_update_time: 1.4832264185, other_time: 20.6551208496
epoch time: 65.5312347412s, input_fired_time: 1.6151299477, output_fired_time: 0.0000000000, propagate_forward_time: 59.9273948669, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9887084961
validation[          , genome  5821] predictions:    5335/  10000 (53.35%), best:    5394/10000 (53.94%), error:     14367.31543, best error:     13680.65234 on epoch:    12, epoch:   18/25, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 836.7637329102s, input_fired_time: 11.8645458221, output_fired_time: 9.1411590576, propagate_forward_time: 299.7227172852, propagate_backward_time: 495.2443542480, weight_update_time: 1.4764031172, other_time: 20.7909240723
epoch time: 67.7066955566s, input_fired_time: 1.6768369675, output_fired_time: 0.0000000000, propagate_forward_time: 62.1048355103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9250259399
validation[          , genome  5821] predictions:    5410/  10000 (54.10%), best:    5394/10000 (53.94%), error:     14396.23242, best error:     13680.65234 on epoch:    12, epoch:   19/25, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 874.1155395508s, input_fired_time: 12.6028671265, output_fired_time: 9.9316492081, propagate_forward_time: 310.1315307617, propagate_backward_time: 520.5612792969, weight_update_time: 1.4868410826, other_time: 20.8882446289
epoch time: 62.7951126099s, input_fired_time: 0.8060089350, output_fired_time: 0.0000000000, propagate_forward_time: 60.3483352661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6407699585
validation[          , genome  5821] predictions:    5416/  10000 (54.16%), best:    5394/10000 (53.94%), error:     14694.13672, best error:     13680.65234 on epoch:    12, epoch:   20/25, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

epoch time: 924.6400756836s, input_fired_time: 13.2487487793, output_fired_time: 10.1889448166, propagate_forward_time: 327.9266967773, propagate_backward_time: 551.2193603516, weight_update_time: 1.5326197147, other_time: 22.0563354492
epoch time: 73.9292984009s, input_fired_time: 1.9257689714, output_fired_time: 0.0000000000, propagate_forward_time: 67.4034500122, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6000823975
validation[          , genome  5821] predictions:    5501/  10000 (55.01%), best:    5501/10000 (55.01%), error:     13539.35254, best error:     13539.35254 on epoch:    21, epoch:   21/25, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 969.5291137695s, input_fired_time: 15.0864486694, output_fired_time: 11.5291280746, propagate_forward_time: 336.4795532227, propagate_backward_time: 580.7615966797, weight_update_time: 1.7514413595, other_time: 25.6724243164
epoch time: 75.2151412964s, input_fired_time: 1.9520657063, output_fired_time: 0.0000000000, propagate_forward_time: 68.5153350830, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.7477416992
validation[          , genome  5821] predictions:    5466/  10000 (54.66%), best:    5501/10000 (55.01%), error:     13683.68164, best error:     13539.35254 on epoch:    21, epoch:   22/25, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

epoch time: 964.7305297852s, input_fired_time: 14.9107980728, output_fired_time: 11.4151401520, propagate_forward_time: 337.0247802734, propagate_backward_time: 575.5749511719, weight_update_time: 1.7184909582, other_time: 25.8048095703
epoch time: 71.6595611572s, input_fired_time: 1.8666906357, output_fired_time: 0.0000000000, propagate_forward_time: 65.2543563843, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.5385131836
validation[          , genome  5821] predictions:    5465/  10000 (54.65%), best:    5501/10000 (55.01%), error:     13996.08398, best error:     13539.35254 on epoch:    21, epoch:   23/25, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 930.8811035156s, input_fired_time: 14.3398904800, output_fired_time: 11.2391500473, propagate_forward_time: 325.9329223633, propagate_backward_time: 554.1871948242, weight_update_time: 1.6993395090, other_time: 25.1819458008
epoch time: 70.9543838501s, input_fired_time: 1.8669744730, output_fired_time: 0.0000000000, propagate_forward_time: 64.6433563232, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.4440536499
validation[          , genome  5821] predictions:    5721/  10000 (57.21%), best:    5721/10000 (57.21%), error:     13312.02246, best error:     13312.02246 on epoch:    24, epoch:   24/25, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 887.9135742188s, input_fired_time: 12.8001222610, output_fired_time: 9.9352483749, propagate_forward_time: 313.1195983887, propagate_backward_time: 529.6092529297, weight_update_time: 1.5859402418, other_time: 22.4493408203
epoch time: 67.8597793579s, input_fired_time: 1.6322007179, output_fired_time: 0.0000000000, propagate_forward_time: 62.1205139160, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1070632935
validation[          , genome  5821] predictions:    5521/  10000 (55.21%), best:    5721/10000 (57.21%), error:     13776.22266, best error:     13312.02246 on epoch:    24, 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: 337.7309265137s, input_fired_time: 8.1477966309, output_fired_time: 0.0000000000, propagate_forward_time: 309.5581665039, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 20.0249633789
best training[          , genome  5821] predictions:   32075/  50000 (64.15%), best:    5721/10000 (57.21%), error:     52453.25391, best error:     13312.02246 on epoch:    24, 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: 67.8738861084s, input_fired_time: 1.5889798403, output_fired_time: 0.0000000000, propagate_forward_time: 61.9142875671, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.3706169128
   testing[          , genome  5821] predictions:    5721/  10000 (57.21%), best:    5721/10000 (57.21%), error:     13312.02246, best error:     13312.02246 on epoch:    24, epoch:   26/25, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600
backpropagation finished successfully!
12:25:19 (7860): called boinc_finish(0)

</stderr_txt>
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