Nameexact_genome_1518178202_55_18333_2
Workunit2991774
Created9 Feb 2018, 14:25:03 UTC
Sent9 Feb 2018, 15:03:37 UTC
Report deadline17 Mar 2018, 7:42:56 UTC
Received10 Feb 2018, 14:50:54 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID71393
Run time17 hours 54 min 40 sec
CPU time17 hours 54 min 40 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS1.91 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.33
Peak working set size169.06 MB
Peak swap size170.20 MB
Peak disk usage2.21 MB

Stderr output

<core_client_version>7.6.31</core_client_version>
<![CDATA[
<stderr_txt>
alidation[          , genome 18333] predictions:    9884/  10000 (98.84%), best:    9875/10000 (98.75%), error:       401.86401, best error:       399.89410 on epoch:    30, epoch:   38/100, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

epoch time: 522.8452758789s, input_fired_time: 7.4795203209, output_fired_time: 5.6647415161, propagate_forward_time: 189.8674011230, propagate_backward_time: 312.3521728516, weight_update_time: 0.4724113047, other_time: 7.4814758301
epoch time: 31.9408721924s, input_fired_time: 0.7100692391, output_fired_time: 0.0000000000, propagate_forward_time: 30.0036907196, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2271118164
validation[          , genome 18333] predictions:    9875/  10000 (98.75%), best:    9875/10000 (98.75%), error:       443.55634, best error:       399.89410 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 528.5081787109s, input_fired_time: 7.5229868889, output_fired_time: 5.6854248047, propagate_forward_time: 191.7794036865, propagate_backward_time: 316.0143737793, weight_update_time: 0.4742383659, other_time: 7.5059509277
epoch time: 42.0680809021s, input_fired_time: 0.8917357326, output_fired_time: 0.0000000000, propagate_forward_time: 39.7722396851, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4041061401
validation[          , genome 18333] predictions:    9859/  10000 (98.59%), best:    9875/10000 (98.75%), error:       448.38559, best error:       399.89410 on epoch:    30, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 539.2167358398s, input_fired_time: 7.6466851234, output_fired_time: 5.7942337990, propagate_forward_time: 195.1996002197, propagate_backward_time: 322.8827209473, weight_update_time: 0.4866272509, other_time: 7.6935119629
epoch time: 48.4434776306s, input_fired_time: 1.0009309053, output_fired_time: 0.0000000000, propagate_forward_time: 45.9218482971, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5206985474
validation[          , genome 18333] predictions:    9861/  10000 (98.61%), best:    9875/10000 (98.75%), error:       476.38116, best error:       399.89410 on epoch:    30, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 433.4635925293s, input_fired_time: 6.6895432472, output_fired_time: 4.8886141777, propagate_forward_time: 160.3067474365, propagate_backward_time: 254.6127929688, weight_update_time: 0.4243127406, other_time: 6.9658813477
epoch time: 33.8093490601s, input_fired_time: 0.7494517565, output_fired_time: 0.0000000000, propagate_forward_time: 31.7829074860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2769908905
validation[          , genome 18333] predictions:    9848/  10000 (98.48%), best:    9875/10000 (98.75%), error:       497.33813, best error:       399.89410 on epoch:    30, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 438.2114868164s, input_fired_time: 6.7394990921, output_fired_time: 4.9655089378, propagate_forward_time: 161.4230957031, propagate_backward_time: 258.0958251953, weight_update_time: 0.4245425761, other_time: 6.9875488281
epoch time: 31.3073596954s, input_fired_time: 0.7002003193, output_fired_time: 0.0000000000, propagate_forward_time: 29.3889675140, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2181911469
validation[          , genome 18333] predictions:    9884/  10000 (98.84%), best:    9884/10000 (98.84%), error:       392.26978, best error:       392.26978 on epoch:    43, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 489.5820617676s, input_fired_time: 7.2128591537, output_fired_time: 5.3726439476, propagate_forward_time: 178.9254608154, propagate_backward_time: 290.7276611328, weight_update_time: 0.4548022449, other_time: 7.3434448242
epoch time: 46.0478210449s, input_fired_time: 0.9821972847, output_fired_time: 0.0000000000, propagate_forward_time: 43.5413932800, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5242309570
validation[          , genome 18333] predictions:    9869/  10000 (98.69%), best:    9884/10000 (98.84%), error:       425.77808, best error:       392.26978 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 511.3825073242s, input_fired_time: 7.4059362411, output_fired_time: 5.5598096848, propagate_forward_time: 185.7708435059, propagate_backward_time: 305.1416625977, weight_update_time: 0.4692851603, other_time: 7.5042419434
epoch time: 43.7971420288s, input_fired_time: 0.9533151388, output_fired_time: 0.0000000000, propagate_forward_time: 41.3274612427, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5163650513
validation[          , genome 18333] predictions:    9865/  10000 (98.65%), best:    9884/10000 (98.84%), error:       436.22379, best error:       392.26978 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 462.1209411621s, input_fired_time: 6.9789404869, output_fired_time: 5.1584424973, propagate_forward_time: 169.4329528809, propagate_backward_time: 273.3915405273, weight_update_time: 0.4382834136, other_time: 7.1590576172
epoch time: 37.4741554260s, input_fired_time: 0.8131829500, output_fired_time: 0.0000000000, propagate_forward_time: 35.3222160339, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3387565613
validation[          , genome 18333] predictions:    9862/  10000 (98.62%), best:    9884/10000 (98.84%), error:       444.10004, best error:       392.26978 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 432.4185485840s, input_fired_time: 6.7290353775, output_fired_time: 4.8825221062, propagate_forward_time: 160.4623260498, propagate_backward_time: 253.3633728027, weight_update_time: 0.4242658019, other_time: 6.9812927246
epoch time: 34.8475990295s, input_fired_time: 0.7694367766, output_fired_time: 0.0000000000, propagate_forward_time: 32.7755966187, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3025665283
validation[          , genome 18333] predictions:    9882/  10000 (98.82%), best:    9882/10000 (98.82%), error:       382.61676, best error:       382.61676 on epoch:    47, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 510.3846435547s, input_fired_time: 7.3969478607, output_fired_time: 5.5455231667, propagate_forward_time: 185.0228271484, propagate_backward_time: 304.9358215332, weight_update_time: 0.4640420079, other_time: 7.4835205078
epoch time: 38.6280899048s, input_fired_time: 0.8312591910, output_fired_time: 0.0000000000, propagate_forward_time: 36.4448204041, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3520088196
validation[          , genome 18333] predictions:    9843/  10000 (98.43%), best:    9882/10000 (98.82%), error:       531.38013, best error:       382.61676 on epoch:    47, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 426.7306518555s, input_fired_time: 6.6469340324, output_fired_time: 4.8644599915, propagate_forward_time: 157.6159362793, propagate_backward_time: 250.6769561768, weight_update_time: 0.4220746756, other_time: 6.9263458252
epoch time: 34.8392257690s, input_fired_time: 0.7661221027, output_fired_time: 0.0000000000, propagate_forward_time: 32.8606491089, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2124557495
validation[          , genome 18333] predictions:    9867/  10000 (98.67%), best:    9882/10000 (98.82%), error:       433.98019, best error:       382.61676 on epoch:    47, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 498.6345214844s, input_fired_time: 7.3270311356, output_fired_time: 5.4691524506, propagate_forward_time: 182.1516418457, propagate_backward_time: 296.2627258301, weight_update_time: 0.4648047388, other_time: 7.4239807129
epoch time: 31.3360958099s, input_fired_time: 0.7056289911, output_fired_time: 0.0000000000, propagate_forward_time: 29.4389591217, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1915073395
validation[          , genome 18333] predictions:    9881/  10000 (98.81%), best:    9882/10000 (98.82%), error:       433.98526, best error:       382.61676 on epoch:    47, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 507.6524658203s, input_fired_time: 7.3646659851, output_fired_time: 5.5758547783, propagate_forward_time: 183.9093322754, propagate_backward_time: 303.2229614258, weight_update_time: 0.4634911716, other_time: 7.5796508789
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_18333.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18333_2_r1912349755_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: 0.954182
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000913721
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.65488e-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: 51
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 47
read number_validation_images: 10000
read best_validation_predictions: 9882
read best_validation_error: 382.617
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: 18333
read normal distribution: '1 0 0'
generator_str: '1394184455'
read generator: 1394184455
read generated_by_map:
1 disable_edge 1
reading 79 nodes.
reading 189 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: 481.941101074219s, input_fired_time: 7.2014012336731, output_fired_time: 5.34375762939453, propagate_forward_time: 176.325469970703, propagate_backward_time: 285.54150390625, weight_update_time: 0.453899562358856, other_time: 7.52896118164062
epoch time: 38.4620094299316s, input_fired_time: 0.830620169639587, output_fired_time: 0, propagate_forward_time: 36.2694511413574, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.3619384765625
validation[          , genome 18333] predictions:    9859/  10000 (98.59%), best:    9882/10000 (98.82%), error:       442.53482, best error:       382.61676 on epoch:    47, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 450.1145324707s, input_fired_time: 6.8700327873, output_fired_time: 5.0539484024, propagate_forward_time: 165.8170776367, propagate_backward_time: 265.3699645996, weight_update_time: 0.4320060909, other_time: 7.0035095215
epoch time: 33.7499313354s, input_fired_time: 0.7413047552, output_fired_time: 0.0000000000, propagate_forward_time: 31.8188743591, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1897506714
validation[          , genome 18333] predictions:    9872/  10000 (98.72%), best:    9882/10000 (98.82%), error:       411.13083, best error:       382.61676 on epoch:    47, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 532.4067993164s, input_fired_time: 7.6028785706, output_fired_time: 5.7358784676, propagate_forward_time: 193.0119171143, propagate_backward_time: 318.4869689941, weight_update_time: 0.4758074284, other_time: 7.5691223145
epoch time: 33.8556175232s, input_fired_time: 0.7536305189, output_fired_time: 0.0000000000, propagate_forward_time: 31.8436546326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2583312988
validation[          , genome 18333] predictions:    9868/  10000 (98.68%), best:    9882/10000 (98.82%), error:       440.73895, best error:       382.61676 on epoch:    47, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 440.6676635742s, input_fired_time: 6.7835812569, output_fired_time: 4.9529347420, propagate_forward_time: 162.6685180664, propagate_backward_time: 259.2727355957, weight_update_time: 0.4278683364, other_time: 6.9898986816
epoch time: 39.4543228149s, input_fired_time: 0.8617983460, output_fired_time: 0.0000000000, propagate_forward_time: 37.2033653259, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.3891601562
validation[          , genome 18333] predictions:    9881/  10000 (98.81%), best:    9882/10000 (98.82%), error:       388.98114, best error:       382.61676 on epoch:    47, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 452.7589721680s, input_fired_time: 6.9269857407, output_fired_time: 5.0774297714, propagate_forward_time: 167.1508178711, propagate_backward_time: 266.5675048828, weight_update_time: 0.4345859587, other_time: 7.0362548828
epoch time: 33.3104782104s, input_fired_time: 0.7281225920, output_fired_time: 0.0000000000, propagate_forward_time: 31.4070892334, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.1752662659
validation[          , genome 18333] predictions:    9875/  10000 (98.75%), best:    9882/10000 (98.82%), error:       407.53928, best error:       382.61676 on epoch:    47, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 605.1727905273s, input_fired_time: 8.2473487854, output_fired_time: 6.4025216103, propagate_forward_time: 215.8136749268, propagate_backward_time: 365.8315734863, weight_update_time: 0.5183721781, other_time: 8.8776550293
epoch time: 34.1508407593s, input_fired_time: 0.7534698248, output_fired_time: 0.0000000000, propagate_forward_time: 32.1666755676, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.2306938171
validation[          , genome 18333] predictions:    9865/  10000 (98.65%), best:    9882/10000 (98.82%), error:       421.70303, best error:       382.61676 on epoch:    47, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 652.5213623047s, input_fired_time: 8.6528720856, output_fired_time: 6.9074501991, propagate_forward_time: 229.6245117188, propagate_backward_time: 398.2127075195, weight_update_time: 0.5441544652, other_time: 9.1237792969
epoch time: 50.6068992615s, input_fired_time: 1.0970708132, output_fired_time: 0.0000000000, propagate_forward_time: 46.9645156860, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5453109741
validation[          , genome 18333] predictions:    9870/  10000 (98.70%), best:    9882/10000 (98.82%), error:       396.83395, best error:       382.61676 on epoch:    47, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 657.4682617188s, input_fired_time: 8.7605981827, output_fired_time: 6.9448685646, propagate_forward_time: 231.1986541748, propagate_backward_time: 400.2190856934, weight_update_time: 0.5515341163, other_time: 10.3450012207
epoch time: 49.6438140869s, input_fired_time: 0.9724167585, output_fired_time: 0.0000000000, propagate_forward_time: 47.1897430420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4816551208
validation[          , genome 18333] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       359.35092, best error:       359.35092 on epoch:    58, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 585.9993896484s, input_fired_time: 8.1417055130, output_fired_time: 6.2475895882, propagate_forward_time: 209.5377349854, propagate_backward_time: 353.3663635254, weight_update_time: 0.5120048523, other_time: 8.7059631348
epoch time: 45.1987991333s, input_fired_time: 0.9376786351, output_fired_time: 0.0000000000, propagate_forward_time: 42.6273498535, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6337699890
validation[          , genome 18333] predictions:    9855/  10000 (98.55%), best:    9896/10000 (98.96%), error:       437.15375, best error:       359.35092 on epoch:    58, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 620.8878784180s, input_fired_time: 8.3890895844, output_fired_time: 6.6376166344, propagate_forward_time: 220.4944458008, propagate_backward_time: 376.4788513184, weight_update_time: 0.5305691361, other_time: 8.8878479004
epoch time: 49.8237609863s, input_fired_time: 0.9659336209, output_fired_time: 0.0000000000, propagate_forward_time: 47.4342727661, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4235534668
validation[          , genome 18333] predictions:    9893/  10000 (98.93%), best:    9893/10000 (98.93%), error:       343.52585, best error:       343.52585 on epoch:    60, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 610.5825805664s, input_fired_time: 8.3211851120, output_fired_time: 6.5451622009, propagate_forward_time: 216.8121337891, propagate_backward_time: 370.0292358398, weight_update_time: 0.5197584033, other_time: 8.8748779297
epoch time: 43.4101371765s, input_fired_time: 0.9074120522, output_fired_time: 0.0000000000, propagate_forward_time: 40.9575157166, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5452079773
validation[          , genome 18333] predictions:    9894/  10000 (98.94%), best:    9893/10000 (98.93%), error:       349.55331, best error:       343.52585 on epoch:    60, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 633.3739624023s, input_fired_time: 8.5867233276, output_fired_time: 6.7277183533, propagate_forward_time: 223.8770141602, propagate_backward_time: 384.8617248535, weight_update_time: 0.5373446345, other_time: 9.3207702637
epoch time: 42.5464477539s, input_fired_time: 0.8929210901, output_fired_time: 0.0000000000, propagate_forward_time: 39.9997482300, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6537780762
validation[          , genome 18333] predictions:    9899/  10000 (98.99%), best:    9893/10000 (98.93%), error:       367.85751, best error:       343.52585 on epoch:    60, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

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_18333.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18333_2_r1912349755_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: 0.970645
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000493738
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.97495e-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: 63
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 60
read number_validation_images: 10000
read best_validation_predictions: 9893
read best_validation_error: 343.526
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: 18333
read normal distribution: '1 0 0'
generator_str: '1214870678'
read generator: 1214870678
read generated_by_map:
1 disable_edge 1
reading 79 nodes.
reading 189 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: 661.004577636719s, input_fired_time: 9.08945369720459, output_fired_time: 7.01396989822388, propagate_forward_time: 233.347305297852, propagate_backward_time: 400.398345947266, weight_update_time: 0.561363458633423, other_time: 11.1554870605469
epoch time: 47.594051361084s, input_fired_time: 1.02548623085022, output_fired_time: 0, propagate_forward_time: 44.6268997192383, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.94166564941406
validation[          , genome 18333] predictions:    9888/  10000 (98.88%), best:    9893/10000 (98.93%), error:       374.57397, best error:       343.52585 on epoch:    60, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 679.0296020508s, input_fired_time: 9.2417716980, output_fired_time: 7.1856532097, propagate_forward_time: 237.7583770752, propagate_backward_time: 412.7066040039, weight_update_time: 0.5724961162, other_time: 12.1372070312
epoch time: 50.7753028870s, input_fired_time: 1.0650538206, output_fired_time: 0.0000000000, propagate_forward_time: 47.6539306641, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0563201904
validation[          , genome 18333] predictions:    9889/  10000 (98.89%), best:    9893/10000 (98.93%), error:       361.74991, best error:       343.52585 on epoch:    60, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 689.4974975586s, input_fired_time: 9.4464988708, output_fired_time: 7.3244647980, propagate_forward_time: 241.0873107910, propagate_backward_time: 418.5434875488, weight_update_time: 0.5783044100, other_time: 13.0957641602
epoch time: 51.8120880127s, input_fired_time: 1.1290650368, output_fired_time: 0.0000000000, propagate_forward_time: 48.1125946045, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5704269409
validation[          , genome 18333] predictions:    9859/  10000 (98.59%), best:    9893/10000 (98.93%), error:       432.55981, best error:       343.52585 on epoch:    60, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 684.2649536133s, input_fired_time: 9.3292741776, output_fired_time: 7.2717304230, propagate_forward_time: 239.7555236816, propagate_backward_time: 416.5067443848, weight_update_time: 0.5714397430, other_time: 11.4016723633
epoch time: 51.4151611328s, input_fired_time: 1.0779297352, output_fired_time: 0.0000000000, propagate_forward_time: 48.1353187561, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2019119263
validation[          , genome 18333] predictions:    9879/  10000 (98.79%), best:    9893/10000 (98.93%), error:       375.85394, best error:       343.52585 on epoch:    60, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 675.9852905273s, input_fired_time: 9.1959428787, output_fired_time: 7.1395721436, propagate_forward_time: 237.0763854980, propagate_backward_time: 409.9912109375, weight_update_time: 0.5637685657, other_time: 12.5821838379
epoch time: 50.8345832825s, input_fired_time: 1.0542708635, output_fired_time: 0.0000000000, propagate_forward_time: 47.7175636292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0627479553
validation[          , genome 18333] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       339.32721, best error:       339.32721 on epoch:    67, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 677.5980224609s, input_fired_time: 9.2286424637, output_fired_time: 7.1060681343, propagate_forward_time: 237.3423461914, propagate_backward_time: 411.0654296875, weight_update_time: 0.5719138980, other_time: 12.8555297852
epoch time: 46.2570419312s, input_fired_time: 1.0242304802, output_fired_time: 0.0000000000, propagate_forward_time: 43.2651977539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9676132202
validation[          , genome 18333] predictions:    9896/  10000 (98.96%), best:    9896/10000 (98.96%), error:       334.23074, best error:       334.23074 on epoch:    68, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 591.7375488281s, input_fired_time: 8.2917299271, output_fired_time: 6.3466887474, propagate_forward_time: 210.5119018555, propagate_backward_time: 356.9177246094, weight_update_time: 0.5196671486, other_time: 9.6694946289
epoch time: 44.6498107910s, input_fired_time: 0.9514556527, output_fired_time: 0.0000000000, propagate_forward_time: 42.0337181091, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6646385193
validation[          , genome 18333] predictions:    9862/  10000 (98.62%), best:    9896/10000 (98.96%), error:       443.84406, best error:       334.23074 on epoch:    68, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 683.3586425781s, input_fired_time: 9.1473464966, output_fired_time: 7.2353672981, propagate_forward_time: 240.0316619873, propagate_backward_time: 416.0997009277, weight_update_time: 0.5665805936, other_time: 10.8445739746
epoch time: 51.6243400574s, input_fired_time: 1.0888539553, output_fired_time: 0.0000000000, propagate_forward_time: 48.3562011719, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1792831421
validation[          , genome 18333] predictions:    9892/  10000 (98.92%), best:    9896/10000 (98.96%), error:       344.59488, best error:       334.23074 on epoch:    68, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 674.9866333008s, input_fired_time: 9.0051488876, output_fired_time: 7.1597013474, propagate_forward_time: 237.0805206299, propagate_backward_time: 411.2828979492, weight_update_time: 0.5600688457, other_time: 10.4583740234
epoch time: 51.2182312012s, input_fired_time: 1.0646384954, output_fired_time: 0.0000000000, propagate_forward_time: 47.9013328552, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2522583008
validation[          , genome 18333] predictions:    9893/  10000 (98.93%), best:    9896/10000 (98.96%), error:       362.05002, best error:       334.23074 on epoch:    68, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 663.5102539062s, input_fired_time: 8.9946174622, output_fired_time: 7.0974583626, propagate_forward_time: 232.9754028320, propagate_backward_time: 404.0282897949, weight_update_time: 0.5583832860, other_time: 10.4144592285
epoch time: 49.8755493164s, input_fired_time: 1.0071390867, output_fired_time: 0.0000000000, propagate_forward_time: 47.2600326538, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6083793640
validation[          , genome 18333] predictions:    9879/  10000 (98.79%), best:    9896/10000 (98.96%), error:       388.40411, best error:       334.23074 on epoch:    68, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 668.3932495117s, input_fired_time: 9.0427560806, output_fired_time: 7.1533269882, propagate_forward_time: 234.8331756592, propagate_backward_time: 406.7166748047, weight_update_time: 0.5573803782, other_time: 10.6472778320
epoch time: 50.0839462280s, input_fired_time: 1.0499526262, output_fired_time: 0.0000000000, propagate_forward_time: 46.8668518066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1671409607
validation[          , genome 18333] predictions:    9884/  10000 (98.84%), best:    9896/10000 (98.96%), error:       357.57999, best error:       334.23074 on epoch:    68, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

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_18333.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18333_2_r1912349755_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: 0.978991
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000280838
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.12335e-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: 74
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 68
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 334.231
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: 18333
read normal distribution: '1 0 0'
generator_str: '1765518499'
read generator: 1765518499
read generated_by_map:
1 disable_edge 1
reading 79 nodes.
reading 189 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: 563.880676269531s, input_fired_time: 8.14521217346191, output_fired_time: 6.11077880859375, propagate_forward_time: 201.967422485352, propagate_backward_time: 337.698547363281, weight_update_time: 0.509354591369629, other_time: 9.958740234375
epoch time: 43.1316909790039s, input_fired_time: 0.941011071205139, output_fired_time: 0, propagate_forward_time: 40.3941421508789, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.79653930664062
validation[          , genome 18333] predictions:    9885/  10000 (98.85%), best:    9896/10000 (98.96%), error:       355.16232, best error:       334.23074 on epoch:    68, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 579.1773681641s, input_fired_time: 8.1684436798, output_fired_time: 6.2398986816, propagate_forward_time: 207.1700592041, propagate_backward_time: 348.5421142578, weight_update_time: 0.5111765265, other_time: 9.0568847656
epoch time: 51.2244033813s, input_fired_time: 1.0188817978, output_fired_time: 0.0000000000, propagate_forward_time: 48.7192115784, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4863090515
validation[          , genome 18333] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       327.16821, best error:       327.16821 on epoch:    75, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 584.9409179688s, input_fired_time: 8.3163948059, output_fired_time: 6.2593512535, propagate_forward_time: 208.9340972900, propagate_backward_time: 351.4948120117, weight_update_time: 0.5159276128, other_time: 9.9362792969
epoch time: 41.3776931763s, input_fired_time: 0.8985137939, output_fired_time: 0.0000000000, propagate_forward_time: 38.8416252136, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6375541687
validation[          , genome 18333] predictions:    9887/  10000 (98.87%), best:    9895/10000 (98.95%), error:       365.35703, best error:       327.16821 on epoch:    75, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 655.9077758789s, input_fired_time: 9.0259704590, output_fired_time: 6.8688097000, propagate_forward_time: 231.8323516846, propagate_backward_time: 397.1097106934, weight_update_time: 0.5547167063, other_time: 11.0709533691
epoch time: 52.3185119629s, input_fired_time: 1.1103565693, output_fired_time: 0.0000000000, propagate_forward_time: 49.3166847229, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8914718628
validation[          , genome 18333] predictions:    9898/  10000 (98.98%), best:    9895/10000 (98.95%), error:       339.31390, best error:       327.16821 on epoch:    75, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 694.2019653320s, input_fired_time: 9.3699893951, output_fired_time: 7.1896076202, propagate_forward_time: 244.4042816162, propagate_backward_time: 420.8277587891, weight_update_time: 0.5744450092, other_time: 12.4102783203
epoch time: 52.1331901550s, input_fired_time: 1.1033847332, output_fired_time: 0.0000000000, propagate_forward_time: 48.4555587769, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5742454529
validation[          , genome 18333] predictions:    9906/  10000 (99.06%), best:    9895/10000 (98.95%), error:       339.45486, best error:       327.16821 on epoch:    75, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 691.2114868164s, input_fired_time: 9.2817173004, output_fired_time: 7.1772713661, propagate_forward_time: 242.7165069580, propagate_backward_time: 420.2955627441, weight_update_time: 0.5738423467, other_time: 11.7404479980
epoch time: 52.1733741760s, input_fired_time: 1.0362842083, output_fired_time: 0.0000000000, propagate_forward_time: 49.4763412476, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6607475281
validation[          , genome 18333] predictions:    9886/  10000 (98.86%), best:    9895/10000 (98.95%), error:       365.78091, best error:       327.16821 on epoch:    75, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 692.0841674805s, input_fired_time: 9.2113561630, output_fired_time: 7.1666326523, propagate_forward_time: 244.1115875244, propagate_backward_time: 420.5768737793, weight_update_time: 0.5717425942, other_time: 11.0177307129
epoch time: 51.2827720642s, input_fired_time: 1.0693901777, output_fired_time: 0.0000000000, propagate_forward_time: 48.4113845825, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8019981384
validation[          , genome 18333] predictions:    9896/  10000 (98.96%), best:    9895/10000 (98.95%), error:       341.98074, best error:       327.16821 on epoch:    75, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 689.2963867188s, input_fired_time: 9.1636600494, output_fired_time: 7.1818614006, propagate_forward_time: 242.4346160889, propagate_backward_time: 419.8718566895, weight_update_time: 0.5725402832, other_time: 10.6443786621
epoch time: 51.3115425110s, input_fired_time: 1.0835776329, output_fired_time: 0.0000000000, propagate_forward_time: 48.1755905151, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0523757935
validation[          , genome 18333] predictions:    9887/  10000 (98.87%), best:    9895/10000 (98.95%), error:       376.00897, best error:       327.16821 on epoch:    75, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 685.5818481445s, input_fired_time: 9.1536531448, output_fired_time: 7.0927534103, propagate_forward_time: 242.4581146240, propagate_backward_time: 415.8047180176, weight_update_time: 0.5679143667, other_time: 11.0726013184
epoch time: 50.2114067078s, input_fired_time: 1.0491077900, output_fired_time: 0.0000000000, propagate_forward_time: 46.9231033325, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.2391967773
validation[          , genome 18333] predictions:    9906/  10000 (99.06%), best:    9895/10000 (98.95%), error:       339.32336, best error:       327.16821 on epoch:    75, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 684.6172485352s, input_fired_time: 9.1841392517, output_fired_time: 7.0861034393, propagate_forward_time: 241.8353881836, propagate_backward_time: 414.7869567871, weight_update_time: 0.5703249574, other_time: 11.7246398926
epoch time: 51.9356155396s, input_fired_time: 1.0959472656, output_fired_time: 0.0000000000, propagate_forward_time: 48.3523330688, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4873352051
validation[          , genome 18333] predictions:    9895/  10000 (98.95%), best:    9895/10000 (98.95%), error:       350.10211, best error:       327.16821 on epoch:    75, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 686.9703979492s, input_fired_time: 9.1790962219, output_fired_time: 7.0633449554, propagate_forward_time: 242.4654388428, propagate_backward_time: 416.3875427246, weight_update_time: 0.5749485493, other_time: 11.8749694824
epoch time: 51.6800575256s, input_fired_time: 1.0944856405, output_fired_time: 0.0000000000, propagate_forward_time: 48.4190979004, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.1664733887
validation[          , genome 18333] predictions:    9884/  10000 (98.84%), best:    9895/10000 (98.95%), error:       400.69592, best error:       327.16821 on epoch:    75, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 669.1458129883s, input_fired_time: 9.0538864136, output_fired_time: 6.9409632683, propagate_forward_time: 237.5245971680, propagate_backward_time: 404.6884155273, weight_update_time: 0.5598691106, other_time: 10.9379272461
epoch time: 51.0196342468s, input_fired_time: 1.0587172508, output_fired_time: 0.0000000000, propagate_forward_time: 47.8866653442, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0742530823
validation[          , genome 18333] predictions:    9905/  10000 (99.05%), best:    9895/10000 (98.95%), error:       345.50244, best error:       327.16821 on epoch:    75, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 682.6302490234s, input_fired_time: 9.1359462738, output_fired_time: 7.1042475700, propagate_forward_time: 240.2903289795, propagate_backward_time: 414.6659851074, weight_update_time: 0.5680896640, other_time: 11.4337463379
epoch time: 50.4125022888s, input_fired_time: 1.0576286316, output_fired_time: 0.0000000000, propagate_forward_time: 47.6143455505, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7405281067
validation[          , genome 18333] predictions:    9902/  10000 (99.02%), best:    9902/10000 (99.02%), error:       326.79938, best error:       326.79938 on epoch:    86, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 683.6755371094s, input_fired_time: 9.1595554352, output_fired_time: 7.0721359253, propagate_forward_time: 241.1032562256, propagate_backward_time: 414.8865966797, weight_update_time: 0.5732980967, other_time: 11.4539794922
epoch time: 52.6371231079s, input_fired_time: 1.0688087940, output_fired_time: 0.0000000000, propagate_forward_time: 49.8106613159, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7576522827
validation[          , genome 18333] predictions:    9897/  10000 (98.97%), best:    9902/10000 (99.02%), error:       341.10696, best error:       326.79938 on epoch:    86, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 676.7008056641s, input_fired_time: 9.0845050812, output_fired_time: 7.0069422722, propagate_forward_time: 239.4609069824, propagate_backward_time: 410.0360107422, weight_update_time: 0.5660875440, other_time: 11.1123962402
epoch time: 50.8815498352s, input_fired_time: 1.0712409019, output_fired_time: 0.0000000000, propagate_forward_time: 48.0325355530, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7777748108
validation[          , genome 18333] predictions:    9900/  10000 (99.00%), best:    9902/10000 (99.02%), error:       353.83728, best error:       326.79938 on epoch:    86, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

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_18333.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1518178202_55_18333_2_r1912349755_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: 0.9849
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00013011
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 5.2044e-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: 89
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 86
read number_validation_images: 10000
read best_validation_predictions: 9902
read best_validation_error: 326.799
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: 18333
read normal distribution: '1 0 0'
generator_str: '330537214'
read generator: 330537214
read generated_by_map:
1 disable_edge 1
reading 79 nodes.
reading 189 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: 632.421081542969s, input_fired_time: 8.86694622039795, output_fired_time: 6.73661184310913, propagate_forward_time: 224.608581542969, propagate_backward_time: 381.563659667969, weight_update_time: 0.547018766403198, other_time: 10.645263671875
epoch time: 52.0341186523438s, input_fired_time: 1.0467791557312, output_fired_time: 0, propagate_forward_time: 49.4571685791016, propagate_backward_time: 0, weight_update_time: 0, other_time: 1.53017044067383
validation[          , genome 18333] predictions:    9912/  10000 (99.12%), best:    9912/10000 (99.12%), error:       313.10199, best error:       313.10199 on epoch:    89, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 686.3958740234s, input_fired_time: 9.3203382492, output_fired_time: 7.2473320961, propagate_forward_time: 241.8705749512, propagate_backward_time: 416.3120117188, weight_update_time: 0.5761336088, other_time: 11.6456604004
epoch time: 53.5698394775s, input_fired_time: 1.0848464966, output_fired_time: 0.0000000000, propagate_forward_time: 50.7047386169, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.7802543640
validation[          , genome 18333] predictions:    9889/  10000 (98.89%), best:    9912/10000 (99.12%), error:       369.48776, best error:       313.10199 on epoch:    89, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 677.8698730469s, input_fired_time: 9.1782293320, output_fired_time: 7.1571612358, propagate_forward_time: 238.3651733398, propagate_backward_time: 412.3968811035, weight_update_time: 0.5688436627, other_time: 10.7724304199
epoch time: 49.7311553955s, input_fired_time: 1.0679513216, output_fired_time: 0.0000000000, propagate_forward_time: 46.6995735168, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9636306763
validation[          , genome 18333] predictions:    9907/  10000 (99.07%), best:    9912/10000 (99.12%), error:       317.73392, best error:       313.10199 on epoch:    89, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 688.3209228516s, input_fired_time: 9.3237962723, output_fired_time: 7.2657923698, propagate_forward_time: 241.9662475586, propagate_backward_time: 418.7347106934, weight_update_time: 0.5724954605, other_time: 11.0303649902
epoch time: 52.8152160645s, input_fired_time: 1.1170921326, output_fired_time: 0.0000000000, propagate_forward_time: 49.1196746826, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5784492493
validation[          , genome 18333] predictions:    9896/  10000 (98.96%), best:    9912/10000 (99.12%), error:       338.89673, best error:       313.10199 on epoch:    89, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 606.2788696289s, input_fired_time: 8.5265293121, output_fired_time: 6.5100874901, propagate_forward_time: 215.1993255615, propagate_backward_time: 366.1793212891, weight_update_time: 0.5303245187, other_time: 9.8635864258
epoch time: 42.0333251953s, input_fired_time: 0.9169812799, output_fired_time: 0.0000000000, propagate_forward_time: 39.5672302246, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5491142273
validation[          , genome 18333] predictions:    9904/  10000 (99.04%), best:    9912/10000 (99.12%), error:       326.69098, best error:       313.10199 on epoch:    89, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 540.1856079102s, input_fired_time: 7.9465532303, output_fired_time: 5.9072422981, propagate_forward_time: 194.3883819580, propagate_backward_time: 323.1611633301, weight_update_time: 0.4872235954, other_time: 8.7823181152
epoch time: 40.5799560547s, input_fired_time: 0.9092149734, output_fired_time: 0.0000000000, propagate_forward_time: 38.0580558777, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6126861572
validation[          , genome 18333] predictions:    9899/  10000 (98.99%), best:    9912/10000 (99.12%), error:       344.87234, best error:       313.10199 on epoch:    89, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 528.6440429688s, input_fired_time: 7.8176684380, output_fired_time: 5.8068962097, propagate_forward_time: 191.1733551025, propagate_backward_time: 315.0535888672, weight_update_time: 0.4796862900, other_time: 8.7925415039
epoch time: 41.4711647034s, input_fired_time: 0.9129059911, output_fired_time: 0.0000000000, propagate_forward_time: 38.9441680908, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.6140899658
validation[          , genome 18333] predictions:    9906/  10000 (99.06%), best:    9912/10000 (99.12%), error:       322.17719, best error:       313.10199 on epoch:    89, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 560.7568359375s, input_fired_time: 8.1137580872, output_fired_time: 6.0913705826, propagate_forward_time: 201.2655487061, propagate_backward_time: 335.9998474121, weight_update_time: 0.5023806691, other_time: 9.2862854004
epoch time: 44.1344032288s, input_fired_time: 0.9660277963, output_fired_time: 0.0000000000, propagate_forward_time: 41.2087173462, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9596595764
validation[          , genome 18333] predictions:    9901/  10000 (99.01%), best:    9912/10000 (99.12%), error:       324.08130, best error:       313.10199 on epoch:    89, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 572.6823730469s, input_fired_time: 8.2718458176, output_fired_time: 6.1775546074, propagate_forward_time: 205.3535614014, propagate_backward_time: 343.1618957520, weight_update_time: 0.5115954280, other_time: 9.7174987793
epoch time: 47.7873077393s, input_fired_time: 1.0274856091, output_fired_time: 0.0000000000, propagate_forward_time: 44.8901939392, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8696289062
validation[          , genome 18333] predictions:    9902/  10000 (99.02%), best:    9912/10000 (99.12%), error:       352.68655, best error:       313.10199 on epoch:    89, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 611.6857299805s, input_fired_time: 8.6549587250, output_fired_time: 6.5153522491, propagate_forward_time: 218.5789489746, propagate_backward_time: 368.1583862305, weight_update_time: 0.5347762108, other_time: 9.7780456543
epoch time: 45.9864692688s, input_fired_time: 0.9901590347, output_fired_time: 0.0000000000, propagate_forward_time: 43.1909751892, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8053359985
validation[          , genome 18333] predictions:    9887/  10000 (98.87%), best:    9912/10000 (99.12%), error:       378.28766, best error:       313.10199 on epoch:    89, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 597.1554565430s, input_fired_time: 8.4590492249, output_fired_time: 6.3689336777, propagate_forward_time: 213.9001464844, propagate_backward_time: 358.8536376953, weight_update_time: 0.5226159692, other_time: 9.5736694336
epoch time: 44.6681289673s, input_fired_time: 0.9608554244, output_fired_time: 0.0000000000, propagate_forward_time: 41.8992919922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8079833984
validation[          , genome 18333] predictions:    9900/  10000 (99.00%), best:    9912/10000 (99.12%), error:       345.79007, best error:       313.10199 on epoch:    89, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 602.7043457031s, input_fired_time: 8.5055904388, output_fired_time: 6.4267959595, propagate_forward_time: 215.4941711426, propagate_backward_time: 362.6007995605, weight_update_time: 0.5271586180, other_time: 9.6769409180
epoch time: 47.8776893616s, input_fired_time: 1.0286873579, output_fired_time: 0.0000000000, propagate_forward_time: 44.7770805359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0719223022
validation[          , genome 18333] predictions:    9902/  10000 (99.02%), best:    9912/10000 (99.12%), error:       316.11575, best error:       313.10199 on epoch:    89, 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: 229.9320678711s, input_fired_time: 4.9687256813, output_fired_time: 0.0000000000, propagate_forward_time: 215.9305419922, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.0328063965
best training[          , genome 18333] predictions:   49999/  50000 (100.00%), best:    9912/10000 (99.12%), error:       165.94510, best error:       313.10199 on epoch:    89, 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: 43.3223762512s, input_fired_time: 0.9333142638, output_fired_time: 0.0000000000, propagate_forward_time: 40.7938804626, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5951805115
   testing[          , genome 18333] predictions:    9902/  10000 (99.02%), best:    9912/10000 (99.12%), error:       308.04315, best error:       313.10199 on epoch:    89, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
06:50:37 (93462): called boinc_finish(0)

</stderr_txt>
]]>