Nameexact_genome_1512568488_44_6848_1
Workunit2605576
Created7 Dec 2017, 22:22:21 UTC
Sent7 Dec 2017, 22:29:27 UTC
Report deadline17 Dec 2017, 23:56:57 UTC
Received13 Dec 2017, 9:20:10 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID69347
Run time4 hours 56 min 2 sec
CPU time4 hours 18 min 27 sec
Validate stateValid
Credit2,515.19
Device peak FLOPS2.19 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34

Stderr output

<core_client_version>7.0.80</core_client_version>
<![CDATA[
<stderr_txt>
dation[          , genome  6848] predictions:    9754/  10000 (97.54%), best:    9762/10000 (97.62%), error:       857.47137, best error:       829.65375 on epoch:    43, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 362.4578247070s, input_fired_time: 8.0166950226, output_fired_time: 3.6637523174, propagate_forward_time: 124.1415252686, propagate_backward_time: 218.8926239014, weight_update_time: 0.1388271153, other_time: 7.7432250977
epoch time: 29.3145046234s, input_fired_time: 0.2435668111, output_fired_time: 0.0000000000, propagate_forward_time: 28.5054855347, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5654525757
validation[          , genome  6848] predictions:    9681/  10000 (96.81%), best:    9762/10000 (97.62%), error:      1060.32361, best error:       829.65375 on epoch:    43, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 442.2455139160s, input_fired_time: 5.6616849899, output_fired_time: 8.3820867538, propagate_forward_time: 132.9792175293, propagate_backward_time: 283.6677856445, weight_update_time: 0.2378147691, other_time: 11.5547485352
epoch time: 27.8683757782s, input_fired_time: 0.2520395517, output_fired_time: 0.0000000000, propagate_forward_time: 26.0290164948, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5873203278
validation[          , genome  6848] predictions:    9484/  10000 (94.84%), best:    9762/10000 (97.62%), error:      1689.94910, best error:       829.65375 on epoch:    43, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 443.8626708984s, input_fired_time: 2.8006682396, output_fired_time: 7.4348559380, propagate_forward_time: 138.4254913330, propagate_backward_time: 280.5684814453, weight_update_time: 2.2530498505, other_time: 14.6331787109
epoch time: 33.6531906128s, input_fired_time: 0.3458350897, output_fired_time: 0.0000000000, propagate_forward_time: 31.4595680237, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8477859497
validation[          , genome  6848] predictions:    9741/  10000 (97.41%), best:    9762/10000 (97.62%), error:       882.80359, best error:       829.65375 on epoch:    43, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 477.5500488281s, input_fired_time: 7.0761203766, output_fired_time: 7.6718149185, propagate_forward_time: 161.6335754395, propagate_backward_time: 293.8570251465, weight_update_time: 0.2625992298, other_time: 7.3115234375
epoch time: 33.3251991272s, input_fired_time: 0.3645367920, output_fired_time: 0.0000000000, propagate_forward_time: 31.1104450226, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8502178192
validation[          , genome  6848] predictions:    9712/  10000 (97.12%), best:    9762/10000 (97.62%), error:       925.52081, best error:       829.65375 on epoch:    43, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 494.6598815918s, input_fired_time: 7.0440731049, output_fired_time: 4.6641030312, propagate_forward_time: 177.1145172119, propagate_backward_time: 294.6076354980, weight_update_time: 0.2560029626, other_time: 11.2295837402
epoch time: 34.7462081909s, input_fired_time: 0.3596689999, output_fired_time: 0.0000000000, propagate_forward_time: 33.5377807617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8487586975
validation[          , genome  6848] predictions:    9535/  10000 (95.35%), best:    9762/10000 (97.62%), error:      1629.85510, best error:       829.65375 on epoch:    43, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 467.2164611816s, input_fired_time: 7.9550023079, output_fired_time: 2.5293815136, propagate_forward_time: 160.0614776611, propagate_backward_time: 281.5401000977, weight_update_time: 0.2599745989, other_time: 15.1304931641
epoch time: 34.7783584595s, input_fired_time: 0.3575134277, output_fired_time: 0.0000000000, propagate_forward_time: 32.5398063660, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8810386658
validation[          , genome  6848] predictions:    9738/  10000 (97.38%), best:    9762/10000 (97.62%), error:       858.23816, best error:       829.65375 on epoch:    43, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 467.1832885742s, input_fired_time: 4.9612045288, output_fired_time: 2.6073284149, propagate_forward_time: 155.3111114502, propagate_backward_time: 290.1644592285, weight_update_time: 0.2425482720, other_time: 14.1391906738
epoch time: 34.8633155823s, input_fired_time: 0.3623730838, output_fired_time: 0.0000000000, propagate_forward_time: 33.6279449463, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.8729972839
validation[          , genome  6848] predictions:    9718/  10000 (97.18%), best:    9762/10000 (97.62%), error:       954.00317, best error:       829.65375 on epoch:    43, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 472.2796325684s, input_fired_time: 6.9921674728, output_fired_time: 9.4977216721, propagate_forward_time: 173.8045043945, propagate_backward_time: 270.8463134766, weight_update_time: 0.2603133321, other_time: 11.1389465332
epoch time: 32.7117538452s, input_fired_time: 1.3441659212, output_fired_time: 0.0000000000, propagate_forward_time: 29.5081920624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.8593959808
validation[          , genome  6848] predictions:    9753/  10000 (97.53%), best:    9753/10000 (97.53%), error:       827.47052, best error:       827.47052 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 440.2467041016s, input_fired_time: 5.6347303391, output_fired_time: 13.2876882553, propagate_forward_time: 162.4636688232, propagate_backward_time: 252.8141479492, weight_update_time: 0.2146520913, other_time: 6.0464477539
epoch time: 62.7612304688s, input_fired_time: 2.5531105995, output_fired_time: 0.0000000000, propagate_forward_time: 50.3722496033, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.8358688354
validation[          , genome  6848] predictions:    9750/  10000 (97.50%), best:    9753/10000 (97.53%), error:       862.67780, best error:       827.47052 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 466.2976074219s, input_fired_time: 7.9197354317, output_fired_time: 6.4759345055, propagate_forward_time: 147.9502716064, propagate_backward_time: 292.8147888184, weight_update_time: 0.2519706190, other_time: 11.1368713379
epoch time: 35.0769500732s, input_fired_time: 0.3714275062, output_fired_time: 0.0000000000, propagate_forward_time: 30.7841243744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9214000702
validation[          , genome  6848] predictions:    9744/  10000 (97.44%), best:    9753/10000 (97.53%), error:       842.34424, best error:       827.47052 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 464.4716491699s, input_fired_time: 10.9652900696, output_fired_time: 6.6366281509, propagate_forward_time: 168.0315551758, propagate_backward_time: 267.7618408203, weight_update_time: 0.2640041411, other_time: 11.0763244629
epoch time: 33.5499305725s, input_fired_time: 0.3694105744, output_fired_time: 0.0000000000, propagate_forward_time: 29.3610363007, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8194828033
validation[          , genome  6848] predictions:    9720/  10000 (97.20%), best:    9753/10000 (97.53%), error:       899.98730, best error:       827.47052 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 470.3847351074s, input_fired_time: 6.0523447990, output_fired_time: 5.5526466370, propagate_forward_time: 138.6261291504, propagate_backward_time: 310.0259704590, weight_update_time: 0.2654218972, other_time: 10.1276550293
epoch time: 32.6004905701s, input_fired_time: 0.3785860837, output_fired_time: 0.0000000000, propagate_forward_time: 29.3726863861, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8492183685
validation[          , genome  6848] predictions:    9747/  10000 (97.47%), best:    9753/10000 (97.53%), error:       923.78955, best error:       827.47052 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.963671
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000671669
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 2.68668e-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: 57
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9753
read best_validation_error: 827.471
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: 6848
read normal distribution: '1 1.47466289997101 -1.80269551277161'
generator_str: '340943925'
read generator: 340943925
read generated_by_map:
1 split_edge 1
reading 26 nodes.
reading 51 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: 404.563598632813s, input_fired_time: 7.18836164474487, output_fired_time: 3.95576953887939, propagate_forward_time: 150.842514038086, propagate_backward_time: 236.303649902344, weight_update_time: 0.163234055042267, other_time: 6.27330017089844
epoch time: 25.533317565918s, input_fired_time: 1.20948147773743, output_fired_time: 0, propagate_forward_time: 21.8326778411865, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.49115753173828
validation[          , genome  6848] predictions:    9684/  10000 (96.84%), best:    9753/10000 (97.53%), error:      1048.83313, best error:       827.47052 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 367.5803527832s, input_fired_time: 5.9409289360, output_fired_time: 3.6439206600, propagate_forward_time: 136.4576568604, propagate_backward_time: 211.8877563477, weight_update_time: 2.1490507126, other_time: 9.6501007080
epoch time: 27.8284702301s, input_fired_time: 0.2153133005, output_fired_time: 0.0000000000, propagate_forward_time: 26.1144332886, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4987239838
validation[          , genome  6848] predictions:    9755/  10000 (97.55%), best:    9753/10000 (97.53%), error:       842.29486, best error:       827.47052 on epoch:    52, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 360.1673889160s, input_fired_time: 2.9036948681, output_fired_time: 10.6392307281, propagate_forward_time: 128.9887847900, propagate_backward_time: 208.9685516357, weight_update_time: 0.1374055296, other_time: 8.6671447754
epoch time: 25.4827136993s, input_fired_time: 2.2123880386, output_fired_time: 0.0000000000, propagate_forward_time: 21.7782211304, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4921035767
validation[          , genome  6848] predictions:    9742/  10000 (97.42%), best:    9753/10000 (97.53%), error:       901.67255, best error:       827.47052 on epoch:    52, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 359.4183654785s, input_fired_time: 1.8733099699, output_fired_time: 4.6192407608, propagate_forward_time: 125.6306686401, propagate_backward_time: 220.6851501465, weight_update_time: 0.1328030080, other_time: 6.6099853516
epoch time: 25.0135135651s, input_fired_time: 0.2023046911, output_fired_time: 0.0000000000, propagate_forward_time: 23.3487052917, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4625034332
validation[          , genome  6848] predictions:    9730/  10000 (97.30%), best:    9753/10000 (97.53%), error:       869.51794, best error:       827.47052 on epoch:    52, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 358.4251708984s, input_fired_time: 1.8753637075, output_fired_time: 1.6023918390, propagate_forward_time: 118.9329147339, propagate_backward_time: 229.3724212646, weight_update_time: 0.1322462261, other_time: 6.6420745850
epoch time: 25.5944633484s, input_fired_time: 0.2104796320, output_fired_time: 0.0000000000, propagate_forward_time: 24.9017963409, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4821872711
validation[          , genome  6848] predictions:    9745/  10000 (97.45%), best:    9753/10000 (97.53%), error:       873.88013, best error:       827.47052 on epoch:    52, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 355.3814086914s, input_fired_time: 5.8960165977, output_fired_time: 3.5701420307, propagate_forward_time: 114.3060684204, propagate_backward_time: 225.9500122070, weight_update_time: 0.1393477172, other_time: 5.6591796875
epoch time: 27.2688655853s, input_fired_time: 0.2047636360, output_fired_time: 0.0000000000, propagate_forward_time: 25.5902423859, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4738597870
validation[          , genome  6848] predictions:    9681/  10000 (96.81%), best:    9753/10000 (97.53%), error:      1075.95679, best error:       827.47052 on epoch:    52, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 360.0943298340s, input_fired_time: 7.9014525414, output_fired_time: 3.6012892723, propagate_forward_time: 99.0170822144, propagate_backward_time: 243.9389953613, weight_update_time: 0.1346275210, other_time: 5.6354980469
epoch time: 27.8432598114s, input_fired_time: 1.2192089558, output_fired_time: 0.0000000000, propagate_forward_time: 26.1288833618, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4951667786
validation[          , genome  6848] predictions:    9747/  10000 (97.47%), best:    9753/10000 (97.53%), error:       906.10059, best error:       827.47052 on epoch:    52, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 362.3953857422s, input_fired_time: 6.9149808884, output_fired_time: 3.6425035000, propagate_forward_time: 134.5096893311, propagate_backward_time: 211.6809387207, weight_update_time: 2.1429483891, other_time: 5.6472625732
epoch time: 25.4621315002s, input_fired_time: 0.2066366971, output_fired_time: 0.0000000000, propagate_forward_time: 24.7849464417, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4705486298
validation[          , genome  6848] predictions:    9715/  10000 (97.15%), best:    9753/10000 (97.53%), error:       950.08344, best error:       827.47052 on epoch:    52, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 368.2720031738s, input_fired_time: 5.9495139122, output_fired_time: 3.6249809265, propagate_forward_time: 121.5713500977, propagate_backward_time: 230.5252380371, weight_update_time: 0.1404144615, other_time: 6.6009216309
epoch time: 27.1994743347s, input_fired_time: 0.2321517766, output_fired_time: 0.0000000000, propagate_forward_time: 26.4323043823, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5350189209
validation[          , genome  6848] predictions:    9742/  10000 (97.42%), best:    9753/10000 (97.53%), error:       876.32019, best error:       827.47052 on epoch:    52, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 363.5049438477s, input_fired_time: 8.9241476059, output_fired_time: 5.6655139923, propagate_forward_time: 109.4911956787, propagate_backward_time: 234.7514953613, weight_update_time: 0.1386871636, other_time: 4.6725921631
epoch time: 26.6244506836s, input_fired_time: 0.2139262557, output_fired_time: 0.0000000000, propagate_forward_time: 25.9378890991, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4726352692
validation[          , genome  6848] predictions:    9755/  10000 (97.55%), best:    9753/10000 (97.53%), error:       845.77386, best error:       827.47052 on epoch:    52, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 360.4530944824s, input_fired_time: 7.0069632530, output_fired_time: 3.5984749794, propagate_forward_time: 129.1795806885, propagate_backward_time: 208.9801788330, weight_update_time: 0.1365047991, other_time: 11.6878967285
epoch time: 25.4536800385s, input_fired_time: 2.2152414322, output_fired_time: 0.0000000000, propagate_forward_time: 19.7600116730, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4784259796
validation[          , genome  6848] predictions:    9731/  10000 (97.31%), best:    9753/10000 (97.53%), error:       885.93787, best error:       827.47052 on epoch:    52, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

epoch time: 358.2714538574s, input_fired_time: 1.8816117048, output_fired_time: 2.5802965164, propagate_forward_time: 124.7650680542, propagate_backward_time: 219.5022430420, weight_update_time: 0.1367210895, other_time: 9.5422210693
epoch time: 24.3570270538s, input_fired_time: 0.2051386088, output_fired_time: 0.0000000000, propagate_forward_time: 23.6944522858, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4574356079
validation[          , genome  6848] predictions:    9695/  10000 (96.95%), best:    9753/10000 (97.53%), error:      1026.88342, best error:       827.47052 on epoch:    52, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 362.8264160156s, input_fired_time: 4.9345479012, output_fired_time: 1.6430035830, propagate_forward_time: 141.4937133789, propagate_backward_time: 207.9575042725, weight_update_time: 0.1489289850, other_time: 6.7976531982
epoch time: 25.5129222870s, input_fired_time: 1.2134255171, output_fired_time: 0.0000000000, propagate_forward_time: 21.8144435883, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.4850540161
validation[          , genome  6848] predictions:    9754/  10000 (97.54%), best:    9753/10000 (97.53%), error:       857.67334, best error:       827.47052 on epoch:    52, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.976484
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000344796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.37918e-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: 70
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9753
read best_validation_error: 827.471
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: 6848
read normal distribution: '1 1.47466289997101 -1.80269551277161'
generator_str: '623044098'
read generator: 623044098
read generated_by_map:
1 split_edge 1
reading 26 nodes.
reading 51 edges.
number input nodes: 1
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.976484
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000344796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.37918e-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: 70
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.976484
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000344796
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.37918e-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: 70
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 52
read number_validation_images: 10000
read best_validation_predictions: 9753
read best_validation_error: 827.471
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: 6848
read normal distribution: '1 1.47466289997101 -1.80269551277161'
generator_str: '623044098'
read generator: 623044098
read generated_by_map:
1 split_edge 1
reading 26 nodes.
reading 51 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: 476.673187255859s, input_fired_time: 6.50906944274902, output_fired_time: 11.2188682556152, propagate_forward_time: 156.867462158203, propagate_backward_time: 290.393981933594, weight_update_time: 0.201413616538048, other_time: 11.6838073730469
epoch time: 32.2285919189453s, input_fired_time: 0.290219277143478, output_fired_time: 0, propagate_forward_time: 31.284631729126, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.653741836547852
validation[          , genome  6848] predictions:    9621/  10000 (96.21%), best:    9753/10000 (97.53%), error:      1236.93835, best error:       827.47052 on epoch:    52, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 404.7931518555s, input_fired_time: 6.1891579628, output_fired_time: 5.9431152344, propagate_forward_time: 139.5814208984, propagate_backward_time: 247.8125152588, weight_update_time: 0.1748368442, other_time: 5.2669525146
epoch time: 28.0735282898s, input_fired_time: 0.2274989486, output_fired_time: 0.0000000000, propagate_forward_time: 27.3083190918, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5377101898
validation[          , genome  6848] predictions:    9735/  10000 (97.35%), best:    9753/10000 (97.53%), error:       918.93994, best error:       827.47052 on epoch:    52, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 417.3359375000s, input_fired_time: 8.2909355164, output_fired_time: 4.9071655273, propagate_forward_time: 142.2922668457, propagate_backward_time: 252.5369262695, weight_update_time: 0.1657385379, other_time: 9.3086547852
epoch time: 29.4742717743s, input_fired_time: 0.2296122015, output_fired_time: 0.0000000000, propagate_forward_time: 27.6988162994, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5458431244
validation[          , genome  6848] predictions:    9679/  10000 (96.79%), best:    9753/10000 (97.53%), error:      1023.63605, best error:       827.47052 on epoch:    52, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 375.7885742188s, input_fired_time: 5.9937653542, output_fired_time: 3.6829617023, propagate_forward_time: 131.8286590576, propagate_backward_time: 226.5644683838, weight_update_time: 0.1425423920, other_time: 7.7187194824
epoch time: 30.0673828125s, input_fired_time: 0.2327681929, output_fired_time: 0.0000000000, propagate_forward_time: 24.2481918335, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.5864219666
validation[          , genome  6848] predictions:    9638/  10000 (96.38%), best:    9753/10000 (97.53%), error:      1130.53650, best error:       827.47052 on epoch:    52, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 382.4019775391s, input_fired_time: 4.0069761276, output_fired_time: 7.7439246178, propagate_forward_time: 130.9207763672, propagate_backward_time: 233.8742980957, weight_update_time: 0.1444362849, other_time: 5.8559875488
epoch time: 27.6896018982s, input_fired_time: 0.2160676271, output_fired_time: 0.0000000000, propagate_forward_time: 24.9619178772, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5116157532
validation[          , genome  6848] predictions:    9756/  10000 (97.56%), best:    9753/10000 (97.53%), error:       840.41296, best error:       827.47052 on epoch:    52, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 370.1044311523s, input_fired_time: 5.8554491997, output_fired_time: 3.6537427902, propagate_forward_time: 124.3762359619, propagate_backward_time: 232.4789276123, weight_update_time: 0.1384164840, other_time: 3.7400817871
epoch time: 27.9507179260s, input_fired_time: 1.2220801115, output_fired_time: 0.0000000000, propagate_forward_time: 26.2257823944, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5028553009
validation[          , genome  6848] predictions:    9716/  10000 (97.16%), best:    9753/10000 (97.53%), error:       940.16870, best error:       827.47052 on epoch:    52, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 372.9626770020s, input_fired_time: 9.0013942719, output_fired_time: 5.5761175156, propagate_forward_time: 121.7620849609, propagate_backward_time: 232.8225097656, weight_update_time: 0.1422008723, other_time: 3.8005676270
epoch time: 28.0924186707s, input_fired_time: 0.2192212194, output_fired_time: 0.0000000000, propagate_forward_time: 27.3642311096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5089664459
validation[          , genome  6848] predictions:    9736/  10000 (97.36%), best:    9753/10000 (97.53%), error:       893.42926, best error:       827.47052 on epoch:    52, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 372.8974914551s, input_fired_time: 3.9679689407, output_fired_time: 5.7188458443, propagate_forward_time: 125.1644363403, propagate_backward_time: 233.2819824219, weight_update_time: 0.1407370716, other_time: 4.7642822266
epoch time: 26.8697738647s, input_fired_time: 0.2157728225, output_fired_time: 0.0000000000, propagate_forward_time: 26.1492443085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5047569275
validation[          , genome  6848] predictions:    9755/  10000 (97.55%), best:    9755/10000 (97.55%), error:       820.80493, best error:       820.80493 on epoch:    77, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 369.9539489746s, input_fired_time: 2.9566209316, output_fired_time: 1.6178917885, propagate_forward_time: 123.5419464111, propagate_backward_time: 238.1023559570, weight_update_time: 0.1427987516, other_time: 3.7351226807
epoch time: 26.8729190826s, input_fired_time: 0.2213468403, output_fired_time: 0.0000000000, propagate_forward_time: 25.1386108398, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5129623413
validation[          , genome  6848] predictions:    9720/  10000 (97.20%), best:    9755/10000 (97.55%), error:       885.96271, best error:       820.80493 on epoch:    77, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 390.1452636719s, input_fired_time: 7.0906372070, output_fired_time: 7.7877898216, propagate_forward_time: 124.1125640869, propagate_backward_time: 242.1492919922, weight_update_time: 0.1520144194, other_time: 9.0049896240
epoch time: 29.2065544128s, input_fired_time: 0.2354907691, output_fired_time: 0.0000000000, propagate_forward_time: 28.4258537292, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5452098846
validation[          , genome  6848] predictions:    9739/  10000 (97.39%), best:    9755/10000 (97.55%), error:       874.02753, best error:       820.80493 on epoch:    77, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 373.1750793457s, input_fired_time: 8.0048065186, output_fired_time: 2.7093064785, propagate_forward_time: 137.7375640869, propagate_backward_time: 221.8357543945, weight_update_time: 0.1434881538, other_time: 2.8876495361
epoch time: 27.0309772491s, input_fired_time: 0.2171206772, output_fired_time: 0.0000000000, propagate_forward_time: 26.2867259979, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5271301270
validation[          , genome  6848] predictions:    9712/  10000 (97.12%), best:    9755/10000 (97.55%), error:       909.02844, best error:       820.80493 on epoch:    77, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 370.3106384277s, input_fired_time: 5.9911751747, output_fired_time: 5.6885161400, propagate_forward_time: 132.4021606445, propagate_backward_time: 221.4662322998, weight_update_time: 0.1407551616, other_time: 4.7625579834
epoch time: 27.9043445587s, input_fired_time: 0.2199443132, output_fired_time: 0.0000000000, propagate_forward_time: 27.1605510712, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5238494873
validation[          , genome  6848] predictions:    9750/  10000 (97.50%), best:    9755/10000 (97.55%), error:       879.39221, best error:       820.80493 on epoch:    77, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.982697
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000186314
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 7.45255e-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: 82
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 77
read number_validation_images: 10000
read best_validation_predictions: 9755
read best_validation_error: 820.805
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: 6848
read normal distribution: '1 1.47466289997101 -1.80269551277161'
generator_str: '1979161728'
read generator: 1979161728
read generated_by_map:
1 split_edge 1
reading 26 nodes.
reading 51 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: 345.14111328125s, input_fired_time: 3.88065266609192, output_fired_time: 5.58461904525757, propagate_forward_time: 111.42896270752, propagate_backward_time: 217.576599121094, weight_update_time: 0.148164466023445, other_time: 6.6702880859375
epoch time: 25.331127166748s, input_fired_time: 0.213491886854172, output_fired_time: 0, propagate_forward_time: 24.6483898162842, propagate_backward_time: 0, weight_update_time: 0, other_time: 0.469245910644531
validation[          , genome  6848] predictions:    9758/  10000 (97.58%), best:    9758/10000 (97.58%), error:       818.59705, best error:       818.59705 on epoch:    82, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 352.8687744141s, input_fired_time: 3.8969805241, output_fired_time: 4.6313424110, propagate_forward_time: 123.4507446289, propagate_backward_time: 217.2450866699, weight_update_time: 0.1385841966, other_time: 3.6446228027
epoch time: 26.5102596283s, input_fired_time: 0.2190756351, output_fired_time: 0.0000000000, propagate_forward_time: 23.7797660828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.5114173889
validation[          , genome  6848] predictions:    9717/  10000 (97.17%), best:    9758/10000 (97.58%), error:       944.01685, best error:       818.59705 on epoch:    82, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 337.9151306152s, input_fired_time: 8.9181280136, output_fired_time: 1.4761965275, propagate_forward_time: 119.6278991699, propagate_backward_time: 200.2941741943, weight_update_time: 2.1429245472, other_time: 7.5987396240
epoch time: 23.0037498474s, input_fired_time: 2.0939006805, output_fired_time: 0.0000000000, propagate_forward_time: 20.5003585815, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4094905853
validation[          , genome  6848] predictions:    9757/  10000 (97.57%), best:    9758/10000 (97.58%), error:       827.93073, best error:       818.59705 on epoch:    82, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 418.8452453613s, input_fired_time: 4.3824415207, output_fired_time: 10.1401748657, propagate_forward_time: 141.9165649414, propagate_backward_time: 251.8756866455, weight_update_time: 0.1859955788, other_time: 10.5303802490
epoch time: 29.7010307312s, input_fired_time: 1.2280820608, output_fired_time: 0.0000000000, propagate_forward_time: 27.9573135376, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5156345367
validation[          , genome  6848] predictions:    9768/  10000 (97.68%), best:    9768/10000 (97.68%), error:       808.87885, best error:       808.87885 on epoch:    85, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

epoch time: 338.6676025391s, input_fired_time: 4.8135352135, output_fired_time: 1.4973996878, propagate_forward_time: 119.4682235718, propagate_backward_time: 203.3817596436, weight_update_time: 0.1296654791, other_time: 9.5066680908
epoch time: 24.4057197571s, input_fired_time: 0.1955347955, output_fired_time: 0.0000000000, propagate_forward_time: 23.7804660797, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4297180176
validation[          , genome  6848] predictions:    9735/  10000 (97.35%), best:    9768/10000 (97.68%), error:       886.77747, best error:       808.87885 on epoch:    85, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 338.8078308105s, input_fired_time: 3.8447194099, output_fired_time: 4.5352349281, propagate_forward_time: 109.1920471191, propagate_backward_time: 214.7185516357, weight_update_time: 0.1372202188, other_time: 6.5172576904
epoch time: 24.6103572845s, input_fired_time: 0.1982197165, output_fired_time: 0.0000000000, propagate_forward_time: 23.9779014587, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4342365265
validation[          , genome  6848] predictions:    9763/  10000 (97.63%), best:    9768/10000 (97.68%), error:       849.44165, best error:       808.87885 on epoch:    85, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 351.2719726563s, input_fired_time: 2.9071257114, output_fired_time: 4.5443096161, propagate_forward_time: 99.2799911499, propagate_backward_time: 241.9997253418, weight_update_time: 0.1334560663, other_time: 2.5408020020
epoch time: 24.9008674622s, input_fired_time: 0.2067591250, output_fired_time: 0.0000000000, propagate_forward_time: 24.2269573212, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4671516418
validation[          , genome  6848] predictions:    9682/  10000 (96.82%), best:    9768/10000 (97.68%), error:       997.03088, best error:       808.87885 on epoch:    85, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 338.6039123535s, input_fired_time: 6.8863449097, output_fired_time: 1.5240802765, propagate_forward_time: 110.0355072021, propagate_backward_time: 215.6407470703, weight_update_time: 0.1314557791, other_time: 4.5172271729
epoch time: 23.3984546661s, input_fired_time: 0.1929956824, output_fired_time: 0.0000000000, propagate_forward_time: 22.7836513519, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4218082428
validation[          , genome  6848] predictions:    9769/  10000 (97.69%), best:    9768/10000 (97.68%), error:       819.15021, best error:       808.87885 on epoch:    85, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 323.2747497559s, input_fired_time: 1.7434827089, output_fired_time: 2.4487755299, propagate_forward_time: 100.3024749756, propagate_backward_time: 214.4010314941, weight_update_time: 0.1255651563, other_time: 4.3790130615
epoch time: 23.0088157654s, input_fired_time: 0.1894032061, output_fired_time: 0.0000000000, propagate_forward_time: 21.4097881317, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4096240997
validation[          , genome  6848] predictions:    9761/  10000 (97.61%), best:    9768/10000 (97.68%), error:       821.25519, best error:       808.87885 on epoch:    85, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 320.9071044922s, input_fired_time: 2.7491436005, output_fired_time: 5.4345903397, propagate_forward_time: 100.7944946289, propagate_backward_time: 208.5488281250, weight_update_time: 0.1254640818, other_time: 3.3800354004
epoch time: 24.4409847260s, input_fired_time: 0.1930050254, output_fired_time: 0.0000000000, propagate_forward_time: 22.8250942230, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.4228858948
validation[          , genome  6848] predictions:    9761/  10000 (97.61%), best:    9768/10000 (97.68%), error:       809.54694, best error:       808.87885 on epoch:    85, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 327.8808288574s, input_fired_time: 3.7758276463, output_fired_time: 2.4419586658, propagate_forward_time: 103.3437576294, propagate_backward_time: 210.9160003662, weight_update_time: 0.1262009293, other_time: 7.4033050537
epoch time: 22.1803359985s, input_fired_time: 2.1996638775, output_fired_time: 0.0000000000, propagate_forward_time: 19.5648422241, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4158306122
validation[          , genome  6848] predictions:    9736/  10000 (97.36%), best:    9768/10000 (97.68%), error:       925.23907, best error:       808.87885 on epoch:    85, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 322.5492248535s, input_fired_time: 4.7500500679, output_fired_time: 1.4448301792, propagate_forward_time: 106.5235824585, propagate_backward_time: 205.4663543701, weight_update_time: 2.1289632320, other_time: 4.3643951416
epoch time: 24.2219848633s, input_fired_time: 0.1939058304, output_fired_time: 0.0000000000, propagate_forward_time: 23.6187305450, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4093494415
validation[          , genome  6848] predictions:    9752/  10000 (97.52%), best:    9768/10000 (97.68%), error:       843.58673, best error:       808.87885 on epoch:    85, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 320.8177490234s, input_fired_time: 6.7489261627, output_fired_time: 9.4418849945, propagate_forward_time: 88.2114562988, propagate_backward_time: 213.0484771729, weight_update_time: 0.1244451851, other_time: 3.3669891357
epoch time: 19.9034023285s, input_fired_time: 0.1894986928, output_fired_time: 0.0000000000, propagate_forward_time: 19.3120861053, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4018173218
validation[          , genome  6848] predictions:    9722/  10000 (97.22%), best:    9768/10000 (97.68%), error:       936.19653, best error:       808.87885 on epoch:    85, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 322.7712707520s, input_fired_time: 5.7642278671, output_fired_time: 4.4373435974, propagate_forward_time: 105.5472869873, propagate_backward_time: 204.6574859619, weight_update_time: 0.1255013198, other_time: 2.3649291992
epoch time: 23.2628860474s, input_fired_time: 0.1934423745, output_fired_time: 0.0000000000, propagate_forward_time: 22.6620159149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.4074268341
validation[          , genome  6848] predictions:    9776/  10000 (97.76%), best:    9776/10000 (97.76%), error:       786.73395, best error:       786.73395 on epoch:    95, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/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_1512568488_44_6848.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1512568488_44_6848_1_r454875444_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: 0.986438
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 9.08606e-05
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 3.63442e-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: 96
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 95
read number_validation_images: 10000
read best_validation_predictions: 9776
read best_validation_error: 786.734
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: 6848
read normal distribution: '1 1.47466289997101 -1.80269551277161'
generator_str: '871238724'
read generator: 871238724
read generated_by_map:
1 split_edge 1
reading 26 nodes.
reading 51 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: 497.988220214844s, input_fired_time: 2.62622952461243, output_fired_time: 3.3104236125946, propagate_forward_time: 188.185470581055, propagate_backward_time: 289.609161376953, weight_update_time: 0.197478413581848, other_time: 14.2569274902344
epoch time: 33.1493835449219s, input_fired_time: 0.259900212287903, output_fired_time: 0, propagate_forward_time: 30.1996040344238, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.68988037109375
validation[          , genome  6848] predictions:    9704/  10000 (97.04%), best:    9776/10000 (97.76%), error:       977.15100, best error:       786.73395 on epoch:    95, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 423.4736938477s, input_fired_time: 4.3150796890, output_fired_time: 9.0389480591, propagate_forward_time: 149.9947509766, propagate_backward_time: 254.8057861328, weight_update_time: 0.1632068902, other_time: 5.3191223145
epoch time: 31.1978111267s, input_fired_time: 0.2460881472, output_fired_time: 0.0000000000, propagate_forward_time: 29.3906383514, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5610847473
validation[          , genome  6848] predictions:    9731/  10000 (97.31%), best:    9776/10000 (97.76%), error:       924.56921, best error:       786.73395 on epoch:    95, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 407.2208251953s, input_fired_time: 7.1871452332, output_fired_time: 1.8684180975, propagate_forward_time: 142.7589111328, propagate_backward_time: 247.3140716553, weight_update_time: 0.1556869149, other_time: 8.0923004150
epoch time: 27.3601951599s, input_fired_time: 0.2350101471, output_fired_time: 0.0000000000, propagate_forward_time: 26.5793228149, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5458621979
validation[          , genome  6848] predictions:    9747/  10000 (97.47%), best:    9776/10000 (97.76%), error:       856.17352, best error:       786.73395 on epoch:    95, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 366.1804504395s, input_fired_time: 8.0189495087, output_fired_time: 4.7065515518, propagate_forward_time: 118.9773254395, propagate_backward_time: 228.6221618652, weight_update_time: 0.1551256925, other_time: 5.8554687500
epoch time: 27.6244029999s, input_fired_time: 0.2241928875, output_fired_time: 0.0000000000, propagate_forward_time: 26.8990974426, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5011119843
validation[          , genome  6848] predictions:    9754/  10000 (97.54%), best:    9776/10000 (97.76%), error:       822.41296, best error:       786.73395 on epoch:    95, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 390.5132141113s, input_fired_time: 12.1349687576, output_fired_time: 5.6970601082, propagate_forward_time: 140.8750305176, propagate_backward_time: 222.8176574707, weight_update_time: 2.1620624065, other_time: 8.9884948730
epoch time: 25.6921806335s, input_fired_time: 0.2235554755, output_fired_time: 0.0000000000, propagate_forward_time: 23.9537410736, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.5148849487
validation[          , genome  6848] predictions:    9755/  10000 (97.55%), best:    9776/10000 (97.76%), error:       865.07806, best error:       786.73395 on epoch:    95, 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: 134.5909271240s, input_fired_time: 2.1385746002, output_fired_time: 0.0000000000, propagate_forward_time: 127.7985305786, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.6538162231
best training[          , genome  6848] predictions:   49617/  50000 (99.23%), best:    9776/10000 (97.76%), error:      1580.95776, best error:       786.73395 on epoch:    95, 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: 25.8765583038s, input_fired_time: 0.2231692970, output_fired_time: 0.0000000000, propagate_forward_time: 25.0972499847, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 0.5561389923
   testing[          , genome  6848] predictions:    9785/  10000 (97.85%), best:    9776/10000 (97.76%), error:       711.95380, best error:       786.73395 on epoch:    95, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
16:58:45 (9028): called boinc_finish(0)

</stderr_txt>
]]>