Nameexact_genome_1518178202_55_18335_2
Workunit2991776
Created9 Feb 2018, 14:25:03 UTC
Sent9 Feb 2018, 15:03:37 UTC
Report deadline18 Mar 2018, 7:39:45 UTC
Received10 Feb 2018, 13:27:24 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID71393
Run time18 hours 0 min 38 sec
CPU time18 hours 0 min 26 sec
Validate stateInitial
Credit0.00
Device peak FLOPS1.91 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size170.14 MB
Peak swap size171.14 MB
Peak disk usage2.22 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
e_forward_time: 44.8098297119, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5664291382
validation[          , genome 18335] predictions:    9859/  10000 (98.59%), best:    9871/10000 (98.71%), error:       430.12308, best error:       429.90192 on epoch:    35, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 524.7375488281s, input_fired_time: 7.7908406258, output_fired_time: 5.8638620377, propagate_forward_time: 190.5175628662, propagate_backward_time: 312.7396850586, weight_update_time: 0.4800419807, other_time: 7.8256225586
epoch time: 44.1421661377s, input_fired_time: 0.9382179379, output_fired_time: 0.0000000000, propagate_forward_time: 41.7137527466, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4901962280
validation[          , genome 18335] predictions:    9862/  10000 (98.62%), best:    9871/10000 (98.71%), error:       434.62183, best error:       429.90192 on epoch:    35, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 522.2429809570s, input_fired_time: 7.6983890533, output_fired_time: 5.8271489143, propagate_forward_time: 188.8130493164, propagate_backward_time: 312.1291809082, weight_update_time: 0.4735335708, other_time: 7.7752380371
epoch time: 42.1097526550s, input_fired_time: 0.9115904570, output_fired_time: 0.0000000000, propagate_forward_time: 39.7559242249, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4422378540
validation[          , genome 18335] predictions:    9861/  10000 (98.61%), best:    9871/10000 (98.71%), error:       470.70145, best error:       429.90192 on epoch:    35, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 418.8555908203s, input_fired_time: 6.7242650986, output_fired_time: 4.8960595131, propagate_forward_time: 154.4367980957, propagate_backward_time: 245.7645111084, weight_update_time: 0.4122490883, other_time: 7.0339508057
epoch time: 31.8700695038s, input_fired_time: 0.7194070220, output_fired_time: 0.0000000000, propagate_forward_time: 29.9226360321, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2280273438
validation[          , genome 18335] predictions:    9869/  10000 (98.69%), best:    9869/10000 (98.69%), error:       382.84683, best error:       382.84683 on epoch:    41, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 465.4114685059s, input_fired_time: 7.1934018135, output_fired_time: 5.3106651306, propagate_forward_time: 170.2616424561, propagate_backward_time: 275.2901916504, weight_update_time: 0.4379859567, other_time: 7.3555603027
epoch time: 37.9501838684s, input_fired_time: 0.8394437432, output_fired_time: 0.0000000000, propagate_forward_time: 35.7292404175, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3815002441
validation[          , genome 18335] predictions:    9859/  10000 (98.59%), best:    9869/10000 (98.69%), error:       422.42126, best error:       382.84683 on epoch:    41, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 440.1372680664s, input_fired_time: 6.9558777809, output_fired_time: 5.0867476463, propagate_forward_time: 161.2079772949, propagate_backward_time: 259.7462463379, weight_update_time: 0.4224990010, other_time: 7.1404113770
epoch time: 32.0802345276s, input_fired_time: 0.7437603474, output_fired_time: 0.0000000000, propagate_forward_time: 30.0507411957, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2857322693
validation[          , genome 18335] predictions:    9891/  10000 (98.91%), best:    9891/10000 (98.91%), error:       374.86734, best error:       374.86734 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 453.1886901855s, input_fired_time: 7.0938181877, output_fired_time: 5.2324790955, propagate_forward_time: 166.5731201172, propagate_backward_time: 266.9918518066, weight_update_time: 0.4353794456, other_time: 7.2974243164
epoch time: 31.9524402618s, input_fired_time: 0.7333800793, output_fired_time: 0.0000000000, propagate_forward_time: 29.9631137848, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2559471130
validation[          , genome 18335] predictions:    9892/  10000 (98.92%), best:    9892/10000 (98.92%), error:       366.02240, best error:       366.02240 on epoch:    44, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 449.4528503418s, input_fired_time: 7.0488886833, output_fired_time: 5.1844091415, propagate_forward_time: 165.1340179443, propagate_backward_time: 264.8580017090, weight_update_time: 0.4317559004, other_time: 7.2275085449
epoch time: 42.2101783752s, input_fired_time: 0.9195107222, output_fired_time: 0.0000000000, propagate_forward_time: 39.8165626526, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4741058350
validation[          , genome 18335] predictions:    9880/  10000 (98.80%), best:    9892/10000 (98.92%), error:       404.16327, best error:       366.02240 on epoch:    44, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 458.0282287598s, input_fired_time: 7.0993256569, output_fired_time: 5.2689137459, propagate_forward_time: 167.0757446289, propagate_backward_time: 271.2938232422, weight_update_time: 0.4364382625, other_time: 7.2904052734
epoch time: 48.1533660889s, input_fired_time: 1.0314760208, output_fired_time: 0.0000000000, propagate_forward_time: 45.6026344299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5192565918
validation[          , genome 18335] predictions:    9871/  10000 (98.71%), best:    9892/10000 (98.92%), error:       437.41974, best error:       366.02240 on epoch:    44, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 550.9523925781s, input_fired_time: 8.0102462769, output_fired_time: 6.0542054176, propagate_forward_time: 198.0673370361, propagate_backward_time: 330.8453674316, weight_update_time: 0.4871697724, other_time: 7.9752502441
epoch time: 31.7859153748s, input_fired_time: 0.7280682921, output_fired_time: 0.0000000000, propagate_forward_time: 29.8166675568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2411804199
validation[          , genome 18335] predictions:    9852/  10000 (98.52%), best:    9892/10000 (98.92%), error:       494.92349, best error:       366.02240 on epoch:    44, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 445.3992614746s, input_fired_time: 7.0273122787, output_fired_time: 5.1577725410, propagate_forward_time: 163.7206115723, propagate_backward_time: 262.2876586914, weight_update_time: 0.4266700149, other_time: 7.2059020996
epoch time: 40.3183021545s, input_fired_time: 0.8768050075, output_fired_time: 0.0000000000, propagate_forward_time: 38.0317001343, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4097976685
validation[          , genome 18335] predictions:    9881/  10000 (98.81%), best:    9881/10000 (98.81%), error:       364.22775, best error:       364.22775 on epoch:    48, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 561.0392456055s, input_fired_time: 8.1527490616, output_fired_time: 6.1698217392, propagate_forward_time: 201.9665679932, propagate_backward_time: 336.5640258789, weight_update_time: 0.4998348057, other_time: 8.1860961914
epoch time: 43.6863517761s, input_fired_time: 0.9549433589, output_fired_time: 0.0000000000, propagate_forward_time: 41.2380943298, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4933128357
validation[          , genome 18335] predictions:    9867/  10000 (98.67%), best:    9881/10000 (98.81%), error:       431.28949, best error:       364.22775 on epoch:    48, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 463.8915405273s, input_fired_time: 7.2176070213, output_fired_time: 5.3359336853, propagate_forward_time: 169.8758544922, propagate_backward_time: 274.0477294922, weight_update_time: 0.4395765662, other_time: 7.4143981934
epoch time: 33.0645980835s, input_fired_time: 0.7563328147, output_fired_time: 0.0000000000, propagate_forward_time: 31.0207614899, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2875041962
validation[          , genome 18335] predictions:    9861/  10000 (98.61%), best:    9881/10000 (98.81%), error:       433.27985, best error:       364.22775 on epoch:    48, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 494.2680969238s, input_fired_time: 7.4858460426, output_fired_time: 5.5734939575, propagate_forward_time: 179.3090972900, propagate_backward_time: 294.2512207031, weight_update_time: 0.4605468512, other_time: 7.6484375000
epoch time: 41.6311378479s, input_fired_time: 0.9063357711, output_fired_time: 0.0000000000, propagate_forward_time: 39.2860107422, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4387931824
validation[          , genome 18335] predictions:    9817/  10000 (98.17%), best:    9881/10000 (98.81%), error:       561.34119, best error:       364.22775 on epoch:    48, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 453.4115905762s, input_fired_time: 7.1055130959, output_fired_time: 5.1919536591, propagate_forward_time: 166.4950256348, propagate_backward_time: 267.3366699219, weight_update_time: 0.4320470393, other_time: 7.2824401855
epoch time: 31.7739086151s, input_fired_time: 0.7325454354, output_fired_time: 0.0000000000, propagate_forward_time: 29.8146800995, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2266826630
validation[          , genome 18335] predictions:    9871/  10000 (98.71%), best:    9881/10000 (98.81%), error:       397.67230, best error:       364.22775 on epoch:    48, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 503.6511840820s, input_fired_time: 7.5611896515, output_fired_time: 5.6368474960, propagate_forward_time: 182.7039489746, propagate_backward_time: 300.1553344727, weight_update_time: 0.4620546401, other_time: 7.5938720703
epoch time: 37.0249633789s, input_fired_time: 0.8248587847, output_fired_time: 0.0000000000, propagate_forward_time: 34.8349075317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3651962280
validation[          , genome 18335] predictions:    9886/  10000 (98.86%), best:    9881/10000 (98.81%), error:       369.89209, best error:       364.22775 on epoch:    48, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 496.3624267578s, input_fired_time: 7.5155820847, output_fired_time: 5.5787863731, propagate_forward_time: 180.1662750244, propagate_backward_time: 295.3888854980, weight_update_time: 0.4559479952, other_time: 7.7128601074
epoch time: 50.8935432434s, input_fired_time: 1.0857234001, output_fired_time: 0.0000000000, propagate_forward_time: 48.0249938965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7828254700
validation[          , genome 18335] predictions:    9867/  10000 (98.67%), best:    9881/10000 (98.81%), error:       417.08560, best error:       364.22775 on epoch:    48, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335_2_r305466067_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: 0.960826
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000744231
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.97693e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 55
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 48
read number_validation_images: 10000
read best_validation_predictions: 9881
read best_validation_error: 364.228
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: 18335
read normal distribution: '1 0.411733537912369 0.145710363984108'
generator_str: '978503294'
read generator: 978503294
read generated_by_map:
1 add_edge 1
reading 81 nodes.
reading 195 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 495.645141601562s, input_fired_time: 7.62143421173096, output_fired_time: 5.59598350524902, propagate_forward_time: 179.817565917969, propagate_backward_time: 294.431091308594, weight_update_time: 0.460260927677155, other_time: 8.1790771484375
epoch time: 32.3512382507324s, input_fired_time: 0.743898093700409, output_fired_time: 0, propagate_forward_time: 30.3634338378906, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.24390602111816
validation[          , genome 18335] predictions:    9874/  10000 (98.74%), best:    9881/10000 (98.81%), error:       396.62091, best error:       364.22775 on epoch:    48, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 491.5292053223s, input_fired_time: 7.5614199638, output_fired_time: 5.5675210953, propagate_forward_time: 178.7553558350, propagate_backward_time: 291.7955627441, weight_update_time: 0.4544761181, other_time: 7.8493347168
epoch time: 33.8719673157s, input_fired_time: 0.7829671502, output_fired_time: 0.0000000000, propagate_forward_time: 31.7859935760, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3030071259
validation[          , genome 18335] predictions:    9838/  10000 (98.38%), best:    9881/10000 (98.81%), error:       476.11581, best error:       364.22775 on epoch:    48, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 430.0067443848s, input_fired_time: 6.9612655640, output_fired_time: 5.0301613808, propagate_forward_time: 159.1609802246, propagate_backward_time: 251.6613616943, weight_update_time: 0.4176843762, other_time: 7.1929779053
epoch time: 38.1750106812s, input_fired_time: 0.8521936536, output_fired_time: 0.0000000000, propagate_forward_time: 35.9240379333, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3987808228
validation[          , genome 18335] predictions:    9827/  10000 (98.27%), best:    9881/10000 (98.81%), error:       544.24677, best error:       364.22775 on epoch:    48, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 446.9645690918s, input_fired_time: 7.0703821182, output_fired_time: 5.1421356201, propagate_forward_time: 163.9906616211, propagate_backward_time: 263.5301513672, weight_update_time: 0.4274146259, other_time: 7.2312622070
epoch time: 31.6816940308s, input_fired_time: 0.7204842567, output_fired_time: 0.0000000000, propagate_forward_time: 29.7698402405, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1913700104
validation[          , genome 18335] predictions:    9877/  10000 (98.77%), best:    9881/10000 (98.81%), error:       389.29733, best error:       364.22775 on epoch:    48, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 461.0719299316s, input_fired_time: 7.1315698624, output_fired_time: 5.2919607162, propagate_forward_time: 167.9965667725, propagate_backward_time: 273.4058532715, weight_update_time: 0.4355119765, other_time: 7.2460021973
epoch time: 41.7009811401s, input_fired_time: 0.9100821614, output_fired_time: 0.0000000000, propagate_forward_time: 39.3358917236, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4550056458
validation[          , genome 18335] predictions:    9884/  10000 (98.84%), best:    9881/10000 (98.81%), error:       399.42499, best error:       364.22775 on epoch:    48, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 498.6239624023s, input_fired_time: 7.5092487335, output_fired_time: 5.5914683342, propagate_forward_time: 181.0492553711, propagate_backward_time: 296.9157104492, weight_update_time: 0.4588163793, other_time: 7.5582885742
epoch time: 45.9208793640s, input_fired_time: 0.9960293174, output_fired_time: 0.0000000000, propagate_forward_time: 43.4159812927, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5088691711
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       350.55252, best error:       350.55252 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 476.8395080566s, input_fired_time: 7.3284792900, output_fired_time: 5.4139037132, propagate_forward_time: 174.1018218994, propagate_backward_time: 282.6293640137, weight_update_time: 0.4410165548, other_time: 7.3659362793
epoch time: 32.1033897400s, input_fired_time: 0.7412127852, output_fired_time: 0.0000000000, propagate_forward_time: 30.1329936981, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2291831970
validation[          , genome 18335] predictions:    9881/  10000 (98.81%), best:    9895/10000 (98.95%), error:       393.69168, best error:       350.55252 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 474.0866699219s, input_fired_time: 7.3179197311, output_fired_time: 5.3980636597, propagate_forward_time: 173.1333618164, propagate_backward_time: 280.8060302734, weight_update_time: 0.4484731853, other_time: 7.4312744141
epoch time: 33.2982254028s, input_fired_time: 0.7693477273, output_fired_time: 0.0000000000, propagate_forward_time: 31.2308483124, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2980289459
validation[          , genome 18335] predictions:    9884/  10000 (98.84%), best:    9895/10000 (98.95%), error:       359.53235, best error:       350.55252 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 590.8948364258s, input_fired_time: 8.3898429871, output_fired_time: 6.4362440109, propagate_forward_time: 210.5625305176, propagate_backward_time: 356.9483032227, weight_update_time: 0.5061867237, other_time: 8.5579528809
epoch time: 50.6098289490s, input_fired_time: 1.0770639181, output_fired_time: 0.0000000000, propagate_forward_time: 47.9214363098, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6113281250
validation[          , genome 18335] predictions:    9899/  10000 (98.99%), best:    9899/10000 (98.99%), error:       339.53043, best error:       339.53043 on epoch:    63, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 647.7566528320s, input_fired_time: 8.9277219772, output_fired_time: 7.0173621178, propagate_forward_time: 228.0306091309, propagate_backward_time: 393.8338317871, weight_update_time: 0.5341413021, other_time: 9.9471435547
epoch time: 50.8427658081s, input_fired_time: 1.0236182213, output_fired_time: 0.0000000000, propagate_forward_time: 48.3527946472, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4663543701
validation[          , genome 18335] predictions:    9877/  10000 (98.77%), best:    9899/10000 (98.99%), error:       379.80280, best error:       339.53043 on epoch:    63, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 679.9135742188s, input_fired_time: 9.1907472610, output_fired_time: 7.3219938278, propagate_forward_time: 236.8069763184, propagate_backward_time: 415.5999755859, weight_update_time: 0.5530679226, other_time: 10.9938659668
epoch time: 49.5370521545s, input_fired_time: 1.0476524830, output_fired_time: 0.0000000000, propagate_forward_time: 46.3380279541, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1513710022
validation[          , genome 18335] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       335.51001, best error:       335.51001 on epoch:    65, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 608.9536132812s, input_fired_time: 8.5886878967, output_fired_time: 6.6543517113, propagate_forward_time: 216.4727325439, propagate_backward_time: 368.2666015625, weight_update_time: 0.5150992274, other_time: 8.9712524414
epoch time: 46.2132148743s, input_fired_time: 0.9755363464, output_fired_time: 0.0000000000, propagate_forward_time: 43.5275382996, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7101402283
validation[          , genome 18335] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       367.49905, best error:       335.51001 on epoch:    65, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 634.6642456055s, input_fired_time: 8.7665557861, output_fired_time: 6.8677892685, propagate_forward_time: 223.2839202881, propagate_backward_time: 385.5689392090, weight_update_time: 0.5365985632, other_time: 10.1770324707
epoch time: 51.2513885498s, input_fired_time: 1.1274824142, output_fired_time: 0.0000000000, propagate_forward_time: 47.9274559021, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1964492798
validation[          , genome 18335] predictions:    9886/  10000 (98.86%), best:    9896/10000 (98.96%), error:       385.69321, best error:       335.51001 on epoch:    65, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335_2_r305466067_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: 0.975024
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000382045
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.52818e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 68
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 65
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 335.51
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: 18335
read normal distribution: '1 0.411733537912369 0.145710363984108'
generator_str: '649510333'
read generator: 649510333
read generated_by_map:
1 add_edge 1
reading 81 nodes.
reading 195 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 670.954711914062s, input_fired_time: 9.26841449737549, output_fired_time: 7.34982824325562, propagate_forward_time: 234.540451049805, propagate_backward_time: 408.939086914062, weight_update_time: 0.559212982654572, other_time: 10.8568725585938
epoch time: 48.419376373291s, input_fired_time: 1.02692317962646, output_fired_time: 0, propagate_forward_time: 45.7530708312988, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.63938140869141
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9896/10000 (98.96%), error:       360.37805, best error:       335.51001 on epoch:    65, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 622.2494506836s, input_fired_time: 8.8133821487, output_fired_time: 6.8192272186, propagate_forward_time: 220.0514068604, propagate_backward_time: 376.4273986816, weight_update_time: 0.5300853848, other_time: 10.1380920410
epoch time: 43.8237953186s, input_fired_time: 0.9482773542, output_fired_time: 0.0000000000, propagate_forward_time: 41.1986045837, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6769142151
validation[          , genome 18335] predictions:    9880/  10000 (98.80%), best:    9896/10000 (98.96%), error:       397.55212, best error:       335.51001 on epoch:    65, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 564.7927856445s, input_fired_time: 8.2273368835, output_fired_time: 6.2998528481, propagate_forward_time: 202.4315948486, propagate_backward_time: 339.1141052246, weight_update_time: 0.4950072467, other_time: 8.7198791504
epoch time: 51.5319175720s, input_fired_time: 1.0881950855, output_fired_time: 0.0000000000, propagate_forward_time: 48.9527206421, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4910011292
validation[          , genome 18335] predictions:    9893/  10000 (98.93%), best:    9896/10000 (98.96%), error:       357.53644, best error:       335.51001 on epoch:    65, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 710.6246948242s, input_fired_time: 9.5983400345, output_fired_time: 7.6999979019, propagate_forward_time: 247.3101348877, propagate_backward_time: 435.6468200684, weight_update_time: 0.5756204128, other_time: 10.3694152832
epoch time: 52.1168975830s, input_fired_time: 1.1455557346, output_fired_time: 0.0000000000, propagate_forward_time: 48.5881729126, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3831672668
validation[          , genome 18335] predictions:    9899/  10000 (98.99%), best:    9896/10000 (98.96%), error:       342.94550, best error:       335.51001 on epoch:    65, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 702.8480224609s, input_fired_time: 9.5905628204, output_fired_time: 7.6205840111, propagate_forward_time: 244.3183898926, propagate_backward_time: 430.4249572754, weight_update_time: 0.5749145746, other_time: 10.8934936523
epoch time: 51.9925498962s, input_fired_time: 1.1223652363, output_fired_time: 0.0000000000, propagate_forward_time: 48.8580741882, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0121116638
validation[          , genome 18335] predictions:    9888/  10000 (98.88%), best:    9896/10000 (98.96%), error:       383.70538, best error:       335.51001 on epoch:    65, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 690.9097290039s, input_fired_time: 9.4674263000, output_fired_time: 7.5543279648, propagate_forward_time: 240.6391906738, propagate_backward_time: 422.6173400879, weight_update_time: 0.5709449053, other_time: 10.6314697266
epoch time: 52.0329742432s, input_fired_time: 1.1107691526, output_fired_time: 0.0000000000, propagate_forward_time: 48.7140388489, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2081680298
validation[          , genome 18335] predictions:    9887/  10000 (98.87%), best:    9896/10000 (98.96%), error:       399.03717, best error:       335.51001 on epoch:    65, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 692.9446411133s, input_fired_time: 9.5192651749, output_fired_time: 7.5206174850, propagate_forward_time: 242.1542510986, propagate_backward_time: 422.8350830078, weight_update_time: 0.5704804659, other_time: 10.9154052734
epoch time: 50.7942543030s, input_fired_time: 1.0785294771, output_fired_time: 0.0000000000, propagate_forward_time: 47.6477012634, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0680236816
validation[          , genome 18335] predictions:    9894/  10000 (98.94%), best:    9896/10000 (98.96%), error:       346.92584, best error:       335.51001 on epoch:    65, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 698.4508056641s, input_fired_time: 9.4781999588, output_fired_time: 7.6353392601, propagate_forward_time: 242.8454437256, propagate_backward_time: 427.8676147461, weight_update_time: 0.5744140744, other_time: 10.6242065430
epoch time: 52.4949531555s, input_fired_time: 1.0618960857, output_fired_time: 0.0000000000, propagate_forward_time: 49.9273719788, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5056838989
validation[          , genome 18335] predictions:    9907/  10000 (99.07%), best:    9907/10000 (99.07%), error:       319.19440, best error:       319.19440 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 650.4957885742s, input_fired_time: 9.0484781265, output_fired_time: 7.1421270370, propagate_forward_time: 228.2775115967, propagate_backward_time: 396.4408569336, weight_update_time: 0.5452953577, other_time: 9.5867919922
epoch time: 41.2892189026s, input_fired_time: 0.9231380820, output_fired_time: 0.0000000000, propagate_forward_time: 38.8170890808, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5489921570
validation[          , genome 18335] predictions:    9900/  10000 (99.00%), best:    9907/10000 (99.07%), error:       323.71124, best error:       319.19440 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 634.5646362305s, input_fired_time: 8.8416519165, output_fired_time: 7.0016007423, propagate_forward_time: 222.3320007324, propagate_backward_time: 387.1305541992, weight_update_time: 0.5355420113, other_time: 9.2588195801
epoch time: 53.2400550842s, input_fired_time: 1.0934199095, output_fired_time: 0.0000000000, propagate_forward_time: 50.2590293884, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8876075745
validation[          , genome 18335] predictions:    9902/  10000 (99.02%), best:    9907/10000 (99.07%), error:       327.80170, best error:       319.19440 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 698.8875732422s, input_fired_time: 9.4628829956, output_fired_time: 7.5293054581, propagate_forward_time: 244.4169311523, propagate_backward_time: 427.8693237305, weight_update_time: 0.5720565915, other_time: 9.6091308594
epoch time: 50.6828155518s, input_fired_time: 1.0705825090, output_fired_time: 0.0000000000, propagate_forward_time: 47.6508712769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9613609314
validation[          , genome 18335] predictions:    9902/  10000 (99.02%), best:    9907/10000 (99.07%), error:       335.92484, best error:       319.19440 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 705.1221923828s, input_fired_time: 9.5993967056, output_fired_time: 7.6660604477, propagate_forward_time: 244.6223907471, propagate_backward_time: 432.8345031738, weight_update_time: 0.5729263425, other_time: 10.3998107910
epoch time: 52.5363311768s, input_fired_time: 1.0638457537, output_fired_time: 0.0000000000, propagate_forward_time: 49.9548454285, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5176391602
validation[          , genome 18335] predictions:    9890/  10000 (98.90%), best:    9907/10000 (99.07%), error:       399.22495, best error:       319.19440 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 726.7540893555s, input_fired_time: 9.6799249649, output_fired_time: 7.8501176834, propagate_forward_time: 252.8759002686, propagate_backward_time: 447.2449340820, weight_update_time: 0.5846849084, other_time: 9.1032104492
epoch time: 53.7722091675s, input_fired_time: 1.1612499952, output_fired_time: 0.0000000000, propagate_forward_time: 50.8718223572, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7391357422
validation[          , genome 18335] predictions:    9908/  10000 (99.08%), best:    9908/10000 (99.08%), error:       317.93399, best error:       317.93399 on epoch:    80, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335_2_r305466067_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: 0.982312
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00019612
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.84479e-06
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: 81
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 80
read number_validation_images: 10000
read best_validation_predictions: 9908
read best_validation_error: 317.934
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: 18335
read normal distribution: '1 0.411733537912369 0.145710363984108'
generator_str: '527882856'
read generator: 527882856
read generated_by_map:
1 add_edge 1
reading 81 nodes.
reading 195 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 606.484130859375s, input_fired_time: 8.75378322601318, output_fired_time: 6.71404552459717, propagate_forward_time: 214.609146118164, propagate_backward_time: 366.408508300781, weight_update_time: 0.524420976638794, other_time: 9.9986572265625
epoch time: 44.857852935791s, input_fired_time: 0.976671457290649, output_fired_time: 0, propagate_forward_time: 42.1726112365723, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.70856857299805
validation[          , genome 18335] predictions:    9903/  10000 (99.03%), best:    9908/10000 (99.08%), error:       322.19943, best error:       317.93399 on epoch:    80, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 611.0062866211s, input_fired_time: 8.6869087219, output_fired_time: 6.7558073997, propagate_forward_time: 216.2911529541, propagate_backward_time: 369.4456787109, weight_update_time: 0.5260310173, other_time: 9.8267822266
epoch time: 48.2584609985s, input_fired_time: 1.0289088488, output_fired_time: 0.0000000000, propagate_forward_time: 45.3159446716, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9136085510
validation[          , genome 18335] predictions:    9896/  10000 (98.96%), best:    9908/10000 (99.08%), error:       354.63345, best error:       317.93399 on epoch:    80, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 623.3638916016s, input_fired_time: 8.7942972183, output_fired_time: 6.8271741867, propagate_forward_time: 219.7858886719, propagate_backward_time: 378.0588073730, weight_update_time: 0.5250995159, other_time: 9.8977355957
epoch time: 45.7464408875s, input_fired_time: 0.9871389866, output_fired_time: 0.0000000000, propagate_forward_time: 43.2004203796, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5588798523
validation[          , genome 18335] predictions:    9897/  10000 (98.97%), best:    9908/10000 (99.08%), error:       347.28879, best error:       317.93399 on epoch:    80, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 657.8492431641s, input_fired_time: 9.0749950409, output_fired_time: 7.1740355492, propagate_forward_time: 230.0935058594, propagate_backward_time: 401.3305358887, weight_update_time: 0.5476983786, other_time: 10.1761779785
epoch time: 48.2307662964s, input_fired_time: 1.0250186920, output_fired_time: 0.0000000000, propagate_forward_time: 45.5301246643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6756248474
validation[          , genome 18335] predictions:    9898/  10000 (98.98%), best:    9908/10000 (99.08%), error:       345.49911, best error:       317.93399 on epoch:    80, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 634.8499755859s, input_fired_time: 8.8751955032, output_fired_time: 6.9220423698, propagate_forward_time: 222.8262329102, propagate_backward_time: 386.5000000000, weight_update_time: 0.5345063806, other_time: 9.7265014648
epoch time: 52.0127944946s, input_fired_time: 1.1652933359, output_fired_time: 0.0000000000, propagate_forward_time: 47.9065933228, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9409065247
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9908/10000 (99.08%), error:       339.48734, best error:       317.93399 on epoch:    80, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 688.0430908203s, input_fired_time: 9.4635210037, output_fired_time: 7.4630775452, propagate_forward_time: 239.3304443359, propagate_backward_time: 420.6299133301, weight_update_time: 0.5647192001, other_time: 11.1561584473
epoch time: 49.3984336853s, input_fired_time: 1.0566930771, output_fired_time: 0.0000000000, propagate_forward_time: 46.4437713623, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8979682922
validation[          , genome 18335] predictions:    9899/  10000 (98.99%), best:    9908/10000 (99.08%), error:       335.19861, best error:       317.93399 on epoch:    80, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 691.6764526367s, input_fired_time: 9.4393062592, output_fired_time: 7.5233716965, propagate_forward_time: 239.9037170410, propagate_backward_time: 423.5474243164, weight_update_time: 0.5637198091, other_time: 11.2626037598
epoch time: 50.4753303528s, input_fired_time: 1.0345797539, output_fired_time: 0.0000000000, propagate_forward_time: 47.7890434265, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6517066956
validation[          , genome 18335] predictions:    9888/  10000 (98.88%), best:    9908/10000 (99.08%), error:       375.44287, best error:       317.93399 on epoch:    80, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 688.7854614258s, input_fired_time: 9.4151134491, output_fired_time: 7.4832167625, propagate_forward_time: 238.7139282227, propagate_backward_time: 422.1019592285, weight_update_time: 0.5594344139, other_time: 11.0712585449
epoch time: 50.5755348206s, input_fired_time: 1.0355947018, output_fired_time: 0.0000000000, propagate_forward_time: 47.9612846375, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5786552429
validation[          , genome 18335] predictions:    9896/  10000 (98.96%), best:    9908/10000 (99.08%), error:       345.89905, best error:       317.93399 on epoch:    80, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 706.8505249023s, input_fired_time: 9.5513038635, output_fired_time: 7.7175283432, propagate_forward_time: 244.2641143799, propagate_backward_time: 435.2458801270, weight_update_time: 0.5732102990, other_time: 10.0716857910
epoch time: 52.0782318115s, input_fired_time: 1.0557255745, output_fired_time: 0.0000000000, propagate_forward_time: 49.4503746033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5721321106
validation[          , genome 18335] predictions:    9879/  10000 (98.79%), best:    9908/10000 (99.08%), error:       384.34476, best error:       317.93399 on epoch:    80, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 708.2128295898s, input_fired_time: 9.5722894669, output_fired_time: 7.5395560265, propagate_forward_time: 246.2558288574, propagate_backward_time: 432.1004333496, weight_update_time: 0.5736370683, other_time: 12.7447509766
epoch time: 51.8340148926s, input_fired_time: 1.1213616133, output_fired_time: 0.0000000000, propagate_forward_time: 48.6101188660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1025352478
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9908/10000 (99.08%), error:       330.47028, best error:       317.93399 on epoch:    80, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 684.9391479492s, input_fired_time: 9.2972173691, output_fired_time: 7.4072842598, propagate_forward_time: 238.5118713379, propagate_backward_time: 419.3293457031, weight_update_time: 0.5581328869, other_time: 10.3934020996
epoch time: 50.8069419861s, input_fired_time: 1.0458581448, output_fired_time: 0.0000000000, propagate_forward_time: 48.0510978699, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7099876404
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9908/10000 (99.08%), error:       331.80066, best error:       317.93399 on epoch:    80, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 671.0259399414s, input_fired_time: 9.1620521545, output_fired_time: 7.3816571236, propagate_forward_time: 234.8258361816, propagate_backward_time: 410.1449584961, weight_update_time: 0.5523424745, other_time: 9.5114440918
epoch time: 48.9483985901s, input_fired_time: 1.0239952803, output_fired_time: 0.0000000000, propagate_forward_time: 46.2031440735, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7212600708
validation[          , genome 18335] predictions:    9906/  10000 (99.06%), best:    9906/10000 (99.06%), error:       310.83859, best error:       310.83859 on epoch:    92, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 673.4293212891s, input_fired_time: 9.1254043579, output_fired_time: 7.3518314362, propagate_forward_time: 234.5981445312, propagate_backward_time: 412.8837280273, weight_update_time: 0.5513585806, other_time: 9.4702148438
epoch time: 51.4877433777s, input_fired_time: 1.0447410345, output_fired_time: 0.0000000000, propagate_forward_time: 48.9352188110, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5077819824
validation[          , genome 18335] predictions:    9899/  10000 (98.99%), best:    9906/10000 (99.06%), error:       332.85422, best error:       310.83859 on epoch:    92, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 706.4866333008s, input_fired_time: 9.5607118607, output_fired_time: 7.5950832367, propagate_forward_time: 245.0939331055, propagate_backward_time: 431.9149169922, weight_update_time: 0.5741986036, other_time: 12.3219604492
epoch time: 53.1635093689s, input_fired_time: 1.1589871645, output_fired_time: 0.0000000000, propagate_forward_time: 49.0410118103, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9635086060
validation[          , genome 18335] predictions:    9901/  10000 (99.01%), best:    9906/10000 (99.06%), error:       321.98108, best error:       310.83859 on epoch:    92, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 701.6333007812s, input_fired_time: 9.4688558578, output_fired_time: 7.5490159988, propagate_forward_time: 243.4240570068, propagate_backward_time: 430.1943359375, weight_update_time: 0.5694177151, other_time: 10.9970092773
epoch time: 52.1257400513s, input_fired_time: 1.1200741529, output_fired_time: 0.0000000000, propagate_forward_time: 48.6442260742, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3614387512
validation[          , genome 18335] predictions:    9889/  10000 (98.89%), best:    9906/10000 (99.06%), error:       346.77249, best error:       310.83859 on epoch:    92, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 700.3157348633s, input_fired_time: 9.4180145264, output_fired_time: 7.6614222527, propagate_forward_time: 242.1825866699, propagate_backward_time: 431.0895080566, weight_update_time: 0.5679851174, other_time: 9.9641723633
epoch time: 49.5548934937s, input_fired_time: 1.0335561037, output_fired_time: 0.0000000000, propagate_forward_time: 46.8103485107, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7109870911
validation[          , genome 18335] predictions:    9895/  10000 (98.95%), best:    9906/10000 (99.06%), error:       341.67474, best error:       310.83859 on epoch:    92, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

arguments:
	'../../projects/csgrid.org_csg/exact_client_0.33_x86_64-pc-linux-gnu'
	'--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/mnist_training_50k.bin'
boincified validation filename: '../../projects/csgrid.org_csg/mnist_validation_10k.bin'
boincified testing filename: '../../projects/csgrid.org_csg/mnist_testing_new.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18335_2_r305466067_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: 0.986616
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 8.63176e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.4527e-06
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: 97
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 92
read number_validation_images: 10000
read best_validation_predictions: 9906
read best_validation_error: 310.839
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: 18335
read normal distribution: '1 0.411733537912369 0.145710363984108'
generator_str: '1885837049'
read generator: 1885837049
read generated_by_map:
1 add_edge 1
reading 81 nodes.
reading 195 edges.
number input nodes: 1
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 1
width: 28
height: 28
reading image set with 4923 images.
reading image set with 5742 images.
reading image set with 4958 images.
reading image set with 5131 images.
reading image set with 4842 images.
reading image set with 4421 images.
reading image set with 4918 images.
reading image set with 5265 images.
reading image set with 4851 images.
reading image set with 4949 images.
image_size: 1x28x28 = 784
read 50000 images.
    class    0: 4923
    class    1: 5742
    class    2: 4958
    class    3: 5131
    class    4: 4842
    class    5: 4421
    class    6: 4918
    class    7: 5265
    class    8: 4851
    class    9: 4949
calculating averages and standard deviations for images
average pixel value for channel 0: 0.130530551075935
pixel variance for channel 0: 0.0948646068572998
pixel standard deviation for channel 0: 0.308000981807709
number_classes: 10
channels: 1
width: 28
height: 28
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: 1x28x28 = 784
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: 1
width: 28
height: 28
reading image set with 980 images.
reading image set with 1135 images.
reading image set with 1032 images.
reading image set with 1010 images.
reading image set with 982 images.
reading image set with 892 images.
reading image set with 958 images.
reading image set with 1028 images.
reading image set with 974 images.
reading image set with 1009 images.
image_size: 1x28x28 = 784
read 10000 images.
    class    0: 980
    class    1: 1135
    class    2: 1032
    class    3: 1010
    class    4: 982
    class    5: 892
    class    6: 958
    class    7: 1028
    class    8: 974
    class    9: 1009
loaded images
starting backpropagation!
epoch time: 591.062744140625s, input_fired_time: 8.78674411773682, output_fired_time: 6.55178833007812, propagate_forward_time: 210.463668823242, propagate_backward_time: 354.541595458984, weight_update_time: 0.523645043373108, other_time: 10.7189636230469
epoch time: 54.9740715026855s, input_fired_time: 1.24564456939697, output_fired_time: 0, propagate_forward_time: 50.855827331543, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.87260055541992
validation[          , genome 18335] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       317.72192, best error:       310.83859 on epoch:    92, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 702.9276733398s, input_fired_time: 9.7160444260, output_fired_time: 7.5825848579, propagate_forward_time: 244.7252655029, propagate_backward_time: 428.9638061523, weight_update_time: 0.5784465671, other_time: 11.9399414062
epoch time: 50.9713706970s, input_fired_time: 1.1205725670, output_fired_time: 0.0000000000, propagate_forward_time: 47.5285186768, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.3222808838
validation[          , genome 18335] predictions:    9901/  10000 (99.01%), best:    9906/10000 (99.06%), error:       340.60483, best error:       310.83859 on epoch:    92, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 695.7583007812s, input_fired_time: 9.6787252426, output_fired_time: 7.4641432762, propagate_forward_time: 245.3147277832, propagate_backward_time: 421.7704772949, weight_update_time: 0.5719812512, other_time: 11.5302124023
epoch time: 52.1026802063s, input_fired_time: 1.1100037098, output_fired_time: 0.0000000000, propagate_forward_time: 49.2068290710, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7858467102
validation[          , genome 18335] predictions:    9907/  10000 (99.07%), best:    9906/10000 (99.06%), error:       324.48221, best error:       310.83859 on epoch:    92, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 701.7800292969s, input_fired_time: 9.7156677246, output_fired_time: 7.5524139404, propagate_forward_time: 245.3852539062, propagate_backward_time: 427.8728942871, weight_update_time: 0.5700653791, other_time: 11.2537536621
epoch time: 53.4004554749s, input_fired_time: 1.1394596100, output_fired_time: 0.0000000000, propagate_forward_time: 50.2654571533, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9955368042
validation[          , genome 18335] predictions:    9903/  10000 (99.03%), best:    9906/10000 (99.06%), error:       320.42252, best error:       310.83859 on epoch:    92, epoch:  100/100, mu: 0.9870989323, learning_rate: 0.0000740065, weight_decay: 0.0000029603

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 263.4491577148s, input_fired_time: 5.7250428200, output_fired_time: 0.0000000000, propagate_forward_time: 246.9279632568, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 10.7961578369
best training[          , genome 18335] predictions:   49997/  50000 (99.99%), best:    9906/10000 (99.06%), error:       152.40793, best error:       310.83859 on epoch:    92, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 54.8874778748s, input_fired_time: 1.2146199942, output_fired_time: 0.0000000000, propagate_forward_time: 50.9163322449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7565269470
   testing[          , genome 18335] predictions:    9904/  10000 (99.04%), best:    9906/10000 (99.06%), error:       306.45819, best error:       310.83859 on epoch:    92, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
05:26:49 (91059): called boinc_finish(0)

</stderr_txt>
]]>