Nameexact_genome_1542414603_174_6125_0
Workunit4094338
Created17 Nov 2018, 1:47:31 UTC
Sent17 Nov 2018, 2:30:37 UTC
Report deadline26 Dec 2018, 11:33:54 UTC
Received19 Nov 2018, 12:56:48 UTC
Server stateOver
OutcomeSuccess
Client stateDone
Exit status0 (0x0)
Computer ID69933
Run time15 hours 35 min 7 sec
CPU time15 hours 12 min 53 sec
Validate stateValid
Credit9,844.32
Device peak FLOPS3.65 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>
set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
generator min: 1, generator max: 2147483646
pre shuffle 1: 1093572605
post shuffle 1: 1134831251
epoch time: 2867.36865234375s, input_fired_time: 24.1509990692139, output_fired_time: 25.7140293121338, propagate_forward_time: 1104.91271972656, propagate_backward_time: 1674.97863769531, weight_update_time: 2.42969679832458, other_time: 37.6123046875
epoch time: 204.57421875s, input_fired_time: 3.0066659450531, output_fired_time: 0, propagate_forward_time: 193.317047119141, propagate_backward_time: 0, weight_update_time: 0, other_time: 8.25050354003906
validation[          , genome  6125] predictions:    4544/  10000 (45.44%), best:    4544/10000 (45.44%), error:     18480.95508, best error:     18480.95508 on epoch:     0, epoch:    0/50, mu: 0.5000000000, learning_rate: 0.0125000002, weight_decay: 0.0005000000

epoch time: 2541.0202636719s, input_fired_time: 14.8213901520, output_fired_time: 10.4064550400, propagate_forward_time: 933.5426025391, propagate_backward_time: 1555.5743408203, weight_update_time: 1.0667645931, other_time: 26.6755371094
epoch time: 198.2152862549s, input_fired_time: 2.9769124985, output_fired_time: 0.0000000000, propagate_forward_time: 189.1829223633, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.0554504395
validation[          , genome  6125] predictions:    4766/  10000 (47.66%), best:    4766/10000 (47.66%), error:     17138.69727, best error:     17138.69727 on epoch:     1, epoch:    1/50, mu: 0.5245000124, learning_rate: 0.0118749999, weight_decay: 0.0004750000

epoch time: 2534.8823242188s, input_fired_time: 17.7356910706, output_fired_time: 17.5622100830, propagate_forward_time: 951.3317260742, propagate_backward_time: 1515.4984130859, weight_update_time: 2.1412332058, other_time: 32.7542724609
epoch time: 198.5211944580s, input_fired_time: 4.9428086281, output_fired_time: 0.0000000000, propagate_forward_time: 189.5694427490, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0089416504
validation[          , genome  6125] predictions:    4779/  10000 (47.79%), best:    4766/10000 (47.66%), error:     18021.30664, best error:     17138.69727 on epoch:     1, epoch:    2/50, mu: 0.5477750301, learning_rate: 0.0112812500, weight_decay: 0.0004512500

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125_0_r713073281_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: 0.569886
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.0107172
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000428687
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: 3
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 1
read number_validation_images: 10000
read best_validation_predictions: 4766
read best_validation_error: 17138.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6125
read normal distribution: '1 0.586401402950287 -0.895910322666168'
generator_str: '1378943361'
read generator: 1378943361
read generated_by_map:
1 change_size_y 1
reading 88 nodes.
reading 302 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 2411.4345703125s, input_fired_time: 19.3903369903564, output_fired_time: 30.3402233123779, propagate_forward_time: 825.009704589844, propagate_backward_time: 1510.77673339844, weight_update_time: 3.0871102809906, other_time: 25.9173583984375
epoch time: 178.295471191406s, input_fired_time: 0.857795774936676, output_fired_time: 0, propagate_forward_time: 171.381561279297, propagate_backward_time: 0, weight_update_time: 0, other_time: 6.05610656738281
validation[          , genome  6125] predictions:    4825/  10000 (48.25%), best:    4825/10000 (48.25%), error:     16796.98828, best error:     16796.98828 on epoch:     3, epoch:    3/50, mu: 0.5698862672, learning_rate: 0.0107171871, weight_decay: 0.0004286875

epoch time: 2719.4641113281s, input_fired_time: 24.7681560516, output_fired_time: 17.7780647278, propagate_forward_time: 1025.2768554688, propagate_backward_time: 1604.7248535156, weight_update_time: 1.2257610559, other_time: 46.9162597656
epoch time: 234.5807189941s, input_fired_time: 3.3744344711, output_fired_time: 0.0000000000, propagate_forward_time: 221.7286224365, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 9.4776611328
validation[          , genome  6125] predictions:    4699/  10000 (46.99%), best:    4825/10000 (48.25%), error:     18071.31641, best error:     16796.98828 on epoch:     3, epoch:    4/50, mu: 0.5908919573, learning_rate: 0.0101813274, weight_decay: 0.0004072531

epoch time: 2748.4248046875s, input_fired_time: 19.7159576416, output_fired_time: 17.5641384125, propagate_forward_time: 979.2435913086, propagate_backward_time: 1689.8985595703, weight_update_time: 4.3062472343, other_time: 42.0023193359
epoch time: 198.4038391113s, input_fired_time: 0.9326766133, output_fired_time: 0.0000000000, propagate_forward_time: 193.5088958740, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9622650146
validation[          , genome  6125] predictions:    5014/  10000 (50.14%), best:    5014/10000 (50.14%), error:     16142.80762, best error:     16142.80762 on epoch:     5, epoch:    5/50, mu: 0.6108473539, learning_rate: 0.0096722608, weight_decay: 0.0003868904

epoch time: 2543.5246582031s, input_fired_time: 20.3246994019, output_fired_time: 17.5446414948, propagate_forward_time: 1009.6877441406, propagate_backward_time: 1464.5446777344, weight_update_time: 4.1195526123, other_time: 31.4228515625
epoch time: 201.9173431396s, input_fired_time: 2.8804440498, output_fired_time: 0.0000000000, propagate_forward_time: 192.8609313965, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1759643555
validation[          , genome  6125] predictions:    5000/  10000 (50.00%), best:    5000/10000 (50.00%), error:     15310.28516, best error:     15310.28516 on epoch:     6, epoch:    6/50, mu: 0.6298049688, learning_rate: 0.0091886474, weight_decay: 0.0003675459

epoch time: 2548.7248535156s, input_fired_time: 20.5988769531, output_fired_time: 25.6798610687, propagate_forward_time: 787.3150634766, propagate_backward_time: 1688.4233398438, weight_update_time: 4.0977516174, other_time: 26.7076416016
epoch time: 198.1127166748s, input_fired_time: 2.8993558884, output_fired_time: 0.0000000000, propagate_forward_time: 190.1716461182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.0417175293
validation[          , genome  6125] predictions:    4934/  10000 (49.34%), best:    5000/10000 (50.00%), error:     15820.42969, best error:     15310.28516 on epoch:     6, epoch:    7/50, mu: 0.6478147507, learning_rate: 0.0087292148, weight_decay: 0.0003491686

epoch time: 2564.1147460938s, input_fired_time: 23.3491344452, output_fired_time: 25.2743244171, propagate_forward_time: 890.8743286133, propagate_backward_time: 1592.4373779297, weight_update_time: 3.1044950485, other_time: 32.1795654297
epoch time: 199.1193847656s, input_fired_time: 0.9376271963, output_fired_time: 0.0000000000, propagate_forward_time: 191.2158660889, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.9658966064
validation[          , genome  6125] predictions:    4788/  10000 (47.88%), best:    5000/10000 (50.00%), error:     17588.48047, best error:     15310.28516 on epoch:     6, epoch:    8/50, mu: 0.6649240255, learning_rate: 0.0082927542, weight_decay: 0.0003317102

epoch time: 2554.0253906250s, input_fired_time: 25.5650329590, output_fired_time: 13.6354417801, propagate_forward_time: 968.1307373047, propagate_backward_time: 1519.3497314453, weight_update_time: 2.0274002552, other_time: 27.3444824219
epoch time: 201.1076965332s, input_fired_time: 0.9358019829, output_fired_time: 0.0000000000, propagate_forward_time: 191.8837585449, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.2881317139
validation[          , genome  6125] predictions:    5133/  10000 (51.33%), best:    5133/10000 (51.33%), error:     14976.20508, best error:     14976.20508 on epoch:     9, epoch:    9/50, mu: 0.6811778545, learning_rate: 0.0078781163, weight_decay: 0.0003151247

epoch time: 2531.9548339844s, input_fired_time: 26.0082073212, output_fired_time: 22.2576808929, propagate_forward_time: 1009.8448486328, propagate_backward_time: 1455.1198730469, weight_update_time: 1.0487182140, other_time: 18.7242431641
epoch time: 201.5474395752s, input_fired_time: 1.9084541798, output_fired_time: 0.0000000000, propagate_forward_time: 191.5055389404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.1334533691
validation[          , genome  6125] predictions:    5134/  10000 (51.34%), best:    5133/10000 (51.33%), error:     15428.24512, best error:     14976.20508 on epoch:     9, epoch:   10/50, mu: 0.6966189742, learning_rate: 0.0074842102, weight_decay: 0.0002993684

epoch time: 2542.9089355469s, input_fired_time: 14.4762725830, output_fired_time: 9.4425888062, propagate_forward_time: 964.2221069336, propagate_backward_time: 1529.4165039063, weight_update_time: 1.0547364950, other_time: 25.3513183594
epoch time: 199.4889678955s, input_fired_time: 0.9294870496, output_fired_time: 0.0000000000, propagate_forward_time: 193.6016845703, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9577941895
validation[          , genome  6125] predictions:    5189/  10000 (51.89%), best:    5189/10000 (51.89%), error:     14804.54297, best error:     14804.54297 on epoch:    11, epoch:   11/50, mu: 0.7112880349, learning_rate: 0.0071099997, weight_decay: 0.0002844000

epoch time: 2546.3591308594s, input_fired_time: 11.6910266876, output_fired_time: 18.7829494476, propagate_forward_time: 883.8438110352, propagate_backward_time: 1607.1561279297, weight_update_time: 2.1388359070, other_time: 24.8853759766
epoch time: 201.0204772949s, input_fired_time: 0.9321804643, output_fired_time: 0.0000000000, propagate_forward_time: 196.0286560059, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0596466064
validation[          , genome  6125] predictions:    5200/  10000 (52.00%), best:    5189/10000 (51.89%), error:     15107.05176, best error:     14804.54297 on epoch:    11, epoch:   12/50, mu: 0.7252236605, learning_rate: 0.0067544994, weight_decay: 0.0002701800

epoch time: 2559.3991699219s, input_fired_time: 14.5928401947, output_fired_time: 18.2379055023, propagate_forward_time: 972.0852050781, propagate_backward_time: 1519.3717041016, weight_update_time: 1.0499031544, other_time: 35.1116943359
epoch time: 198.1545257568s, input_fired_time: 6.0558748245, output_fired_time: 0.0000000000, propagate_forward_time: 190.0073852539, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0912628174
validation[          , genome  6125] predictions:    5446/  10000 (54.46%), best:    5446/10000 (54.46%), error:     14144.25098, best error:     14144.25098 on epoch:    13, epoch:   13/50, mu: 0.7384625077, learning_rate: 0.0064167744, weight_decay: 0.0002566710

epoch time: 2562.4865722656s, input_fired_time: 21.8578987122, output_fired_time: 25.3161468506, propagate_forward_time: 988.1619873047, propagate_backward_time: 1499.4947509766, weight_update_time: 5.0795536041, other_time: 27.6557617188
epoch time: 204.6255493164s, input_fired_time: 0.9336640835, output_fired_time: 0.0000000000, propagate_forward_time: 201.6449890137, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0468902588
validation[          , genome  6125] predictions:    5273/  10000 (52.73%), best:    5446/10000 (54.46%), error:     14173.71094, best error:     14144.25098 on epoch:    13, epoch:   14/50, mu: 0.7510393858, learning_rate: 0.0060959356, weight_decay: 0.0002438374

epoch time: 2570.2543945313s, input_fired_time: 16.7967910767, output_fired_time: 31.4531440735, propagate_forward_time: 936.4807128906, propagate_backward_time: 1556.2274169922, weight_update_time: 4.9309215546, other_time: 29.2962646484
epoch time: 199.0277557373s, input_fired_time: 1.8933249712, output_fired_time: 0.0000000000, propagate_forward_time: 193.9997711182, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1346588135
validation[          , genome  6125] predictions:    5275/  10000 (52.75%), best:    5446/10000 (54.46%), error:     14961.02148, best error:     14144.25098 on epoch:    13, epoch:   15/50, mu: 0.7629874349, learning_rate: 0.0057911389, weight_decay: 0.0002316456

epoch time: 2596.6811523438s, input_fired_time: 28.1458740234, output_fired_time: 18.7882709503, propagate_forward_time: 881.7607421875, propagate_backward_time: 1647.8389892578, weight_update_time: 2.0114858150, other_time: 20.1470947266
epoch time: 193.0211181641s, input_fired_time: 0.9144147635, output_fired_time: 0.0000000000, propagate_forward_time: 188.1101226807, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9965820313
validation[          , genome  6125] predictions:    5383/  10000 (53.83%), best:    5446/10000 (54.46%), error:     14271.42383, best error:     14144.25098 on epoch:    13, epoch:   16/50, mu: 0.7743380666, learning_rate: 0.0055015818, weight_decay: 0.0002200633

epoch time: 2464.7416992188s, input_fired_time: 16.4260635376, output_fired_time: 16.3121852875, propagate_forward_time: 988.7016601563, propagate_backward_time: 1405.6342773438, weight_update_time: 2.1044721603, other_time: 37.6674804688
epoch time: 195.5331878662s, input_fired_time: 2.9434952736, output_fired_time: 0.0000000000, propagate_forward_time: 186.6194763184, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.9702148438
validation[          , genome  6125] predictions:    5171/  10000 (51.71%), best:    5446/10000 (54.46%), error:     15012.73145, best error:     14144.25098 on epoch:    13, epoch:   17/50, mu: 0.7851211429, learning_rate: 0.0052265027, weight_decay: 0.0002090601

epoch time: 2480.2609863281s, input_fired_time: 24.4975299835, output_fired_time: 19.2750587463, propagate_forward_time: 997.1119384766, propagate_backward_time: 1400.5263671875, weight_update_time: 3.0577151775, other_time: 38.8499755859
epoch time: 193.3908691406s, input_fired_time: 5.0094408989, output_fired_time: 0.0000000000, propagate_forward_time: 184.4348602295, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9465637207
validation[          , genome  6125] predictions:    5341/  10000 (53.41%), best:    5446/10000 (54.46%), error:     14400.67090, best error:     14144.25098 on epoch:    13, epoch:   18/50, mu: 0.7953650951, learning_rate: 0.0049651773, weight_decay: 0.0001986071

epoch time: 2465.8120117188s, input_fired_time: 14.3930616379, output_fired_time: 17.5448265076, propagate_forward_time: 900.7206420898, propagate_backward_time: 1505.8530273438, weight_update_time: 2.9661841393, other_time: 27.3002929688
epoch time: 194.0453796387s, input_fired_time: 3.0610160828, output_fired_time: 0.0000000000, propagate_forward_time: 183.1647796631, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.8195800781
validation[          , genome  6125] predictions:    5370/  10000 (53.70%), best:    5370/10000 (53.70%), error:     14067.01367, best error:     14067.01367 on epoch:    19, epoch:   19/50, mu: 0.8050968647, learning_rate: 0.0047169183, weight_decay: 0.0001886768

epoch time: 2457.7424316406s, input_fired_time: 21.2765293121, output_fired_time: 23.3819866180, propagate_forward_time: 914.0253295898, propagate_backward_time: 1475.7263183594, weight_update_time: 1.0357362032, other_time: 23.3320312500
epoch time: 193.2868041992s, input_fired_time: 1.9147052765, output_fired_time: 0.0000000000, propagate_forward_time: 187.3358154297, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0362854004
validation[          , genome  6125] predictions:    5352/  10000 (53.52%), best:    5370/10000 (53.70%), error:     14589.45410, best error:     14067.01367 on epoch:    19, epoch:   20/50, mu: 0.8143420219, learning_rate: 0.0044810725, weight_decay: 0.0001792429

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125_0_r713073281_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: 0.823125
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00425702
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000170281
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: 21
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 19
read number_validation_images: 10000
read best_validation_predictions: 5370
read best_validation_error: 14067
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: 6125
read normal distribution: '1 0.586401402950287 -0.895910322666168'
generator_str: '1089101483'
read generator: 1089101483
read generated_by_map:
1 change_size_y 1
reading 88 nodes.
reading 302 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 2612.87084960938s, input_fired_time: 21.1488056182861, output_fired_time: 23.5294628143311, propagate_forward_time: 984.988037109375, propagate_backward_time: 1543.11486816406, weight_update_time: 6.18332862854004, other_time: 40.0894775390625
epoch time: 178.552383422852s, input_fired_time: 0.888891875743866, output_fired_time: 0, propagate_forward_time: 174.667526245117, propagate_backward_time: 0, weight_update_time: 0, other_time: 2.9959716796875
validation[          , genome  6125] predictions:    5328/  10000 (53.28%), best:    5328/10000 (53.28%), error:     14060.77441, best error:     14060.77441 on epoch:    21, epoch:   21/50, mu: 0.8231249452, learning_rate: 0.0042570187, weight_decay: 0.0001702808

epoch time: 2255.2124023438s, input_fired_time: 18.1187248230, output_fired_time: 6.6733031273, propagate_forward_time: 830.1330566406, propagate_backward_time: 1370.8153076172, weight_update_time: 1.0025014877, other_time: 29.4720458984
epoch time: 175.6520538330s, input_fired_time: 0.8632751107, output_fired_time: 0.0000000000, propagate_forward_time: 171.9028320313, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8859405518
validation[          , genome  6125] predictions:    5194/  10000 (51.94%), best:    5328/10000 (53.28%), error:     15109.16699, best error:     14060.77441 on epoch:    21, epoch:   22/50, mu: 0.8314687014, learning_rate: 0.0040441677, weight_decay: 0.0001617667

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125_0_r713073281_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 21
read number_validation_images: 10000
read best_validation_predictions: 5328
read best_validation_error: 14060.8
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: 6125
read normal distribution: '1 0.586401402950287 -0.895910322666168'
generator_str: '1698701986'
read generator: 1698701986
read generated_by_map:
1 change_size_y 1
reading 88 nodes.
reading 302 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125_0_r713073281_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: 0.839395
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00384196
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 0.000153678
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: 23
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 21
read number_validation_images: 10000
read best_validation_predictions: 5328
read best_validation_error: 14060.8
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: 6125
read normal distribution: '1 0.586401402950287 -0.895910322666168'
generator_str: '1698701986'
read generator: 1698701986
read generated_by_map:
1 change_size_y 1
reading 88 nodes.
reading 302 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 2671.76782226563s, input_fired_time: 20.8486919403076, output_fired_time: 32.6905937194824, propagate_forward_time: 976.085693359375, propagate_backward_time: 1598.94360351563, weight_update_time: 4.29026889801025, other_time: 43.19921875
epoch time: 210.575241088867s, input_fired_time: 1.21253764629364, output_fired_time: 0, propagate_forward_time: 205.423568725586, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.93913269042969
validation[          , genome  6125] predictions:    5522/  10000 (55.22%), best:    5522/10000 (55.22%), error:     13614.20020, best error:     13614.20020 on epoch:    23, epoch:   23/50, mu: 0.8393952847, learning_rate: 0.0038419592, weight_decay: 0.0001536784

epoch time: 2531.7619628906s, input_fired_time: 21.8351097107, output_fired_time: 18.7910480499, propagate_forward_time: 875.7184448242, propagate_backward_time: 1577.5697021484, weight_update_time: 6.0590949059, other_time: 37.8475341797
epoch time: 192.6435089111s, input_fired_time: 3.9716925621, output_fired_time: 0.0000000000, propagate_forward_time: 186.6750183105, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9967956543
validation[          , genome  6125] predictions:    5443/  10000 (54.43%), best:    5522/10000 (55.22%), error:     13744.04590, best error:     13614.20020 on epoch:    23, epoch:   24/50, mu: 0.8469254971, learning_rate: 0.0036498611, weight_decay: 0.0001459945

epoch time: 2479.3200683594s, input_fired_time: 26.4442043304, output_fired_time: 25.3751659393, propagate_forward_time: 884.8099975586, propagate_backward_time: 1524.5999755859, weight_update_time: 2.0803775787, other_time: 18.0906982422
epoch time: 190.6866302490s, input_fired_time: 1.8956754208, output_fired_time: 0.0000000000, propagate_forward_time: 183.6774749756, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 5.1134796143
validation[          , genome  6125] predictions:    5409/  10000 (54.09%), best:    5522/10000 (55.22%), error:     14179.77930, best error:     13614.20020 on epoch:    23, epoch:   25/50, mu: 0.8540792465, learning_rate: 0.0034673680, weight_decay: 0.0001386948

epoch time: 2485.5344238281s, input_fired_time: 18.3680820465, output_fired_time: 22.0443153381, propagate_forward_time: 912.3264160156, propagate_backward_time: 1493.6475830078, weight_update_time: 2.9820694923, other_time: 39.1478271484
epoch time: 194.6539459229s, input_fired_time: 0.9547736645, output_fired_time: 0.0000000000, propagate_forward_time: 191.6804656982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0187072754
validation[          , genome  6125] predictions:    5441/  10000 (54.41%), best:    5441/10000 (54.41%), error:     13601.46289, best error:     13601.46289 on epoch:    26, epoch:   26/50, mu: 0.8608753085, learning_rate: 0.0032939995, weight_decay: 0.0001317600

epoch time: 2475.4726562500s, input_fired_time: 21.6485843658, output_fired_time: 17.2118339539, propagate_forward_time: 1006.0383911133, propagate_backward_time: 1407.3431396484, weight_update_time: 3.0990116596, other_time: 23.2305908203
epoch time: 196.6635437012s, input_fired_time: 1.9321359396, output_fired_time: 0.0000000000, propagate_forward_time: 191.7903137207, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9411010742
validation[          , genome  6125] predictions:    5407/  10000 (54.07%), best:    5441/10000 (54.41%), error:     14258.48145, best error:     13601.46289 on epoch:    26, epoch:   27/50, mu: 0.8673315644, learning_rate: 0.0031292995, weight_decay: 0.0001251720

epoch time: 2484.8100585938s, input_fired_time: 25.5499782562, output_fired_time: 15.1778030396, propagate_forward_time: 775.3853759766, propagate_backward_time: 1640.4277343750, weight_update_time: 5.0851984024, other_time: 28.2691650391
epoch time: 201.5107116699s, input_fired_time: 2.8880546093, output_fired_time: 0.0000000000, propagate_forward_time: 186.4773406982, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 12.1453094482
validation[          , genome  6125] predictions:    5638/  10000 (56.38%), best:    5638/10000 (56.38%), error:     13122.24805, best error:     13122.24805 on epoch:    28, epoch:   28/50, mu: 0.8734650016, learning_rate: 0.0029728345, weight_decay: 0.0001189134

epoch time: 2541.2961425781s, input_fired_time: 15.7019538879, output_fired_time: 14.5472917557, propagate_forward_time: 735.2415161133, propagate_backward_time: 1742.3701171875, weight_update_time: 4.9731316566, other_time: 33.4353027344
epoch time: 198.0795745850s, input_fired_time: 3.0202894211, output_fired_time: 0.0000000000, propagate_forward_time: 190.9749298096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0843505859
validation[          , genome  6125] predictions:    5655/  10000 (56.55%), best:    5655/10000 (56.55%), error:     13012.20313, best error:     13012.20313 on epoch:    29, epoch:   29/50, mu: 0.8792917728, learning_rate: 0.0028241926, weight_decay: 0.0001129677

epoch time: 2557.0349121094s, input_fired_time: 24.4958992004, output_fired_time: 28.3553409576, propagate_forward_time: 904.2042846680, propagate_backward_time: 1568.4100341797, weight_update_time: 4.1195540428, other_time: 31.5694580078
epoch time: 198.9954376221s, input_fired_time: 0.9552249312, output_fired_time: 0.0000000000, propagate_forward_time: 189.0643615723, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.9758453369
validation[          , genome  6125] predictions:    5631/  10000 (56.31%), best:    5655/10000 (56.55%), error:     13144.31934, best error:     13012.20313 on epoch:    29, epoch:   30/50, mu: 0.8848271966, learning_rate: 0.0026829829, weight_decay: 0.0001073193

epoch time: 2527.8881835938s, input_fired_time: 13.5105686188, output_fired_time: 10.4940891266, propagate_forward_time: 963.8874511719, propagate_backward_time: 1515.4754638672, weight_update_time: 3.2381274700, other_time: 24.5206298828
epoch time: 196.2634124756s, input_fired_time: 0.9501621127, output_fired_time: 0.0000000000, propagate_forward_time: 192.3556060791, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9576416016
validation[          , genome  6125] predictions:    5566/  10000 (55.66%), best:    5655/10000 (56.55%), error:     13403.00977, best error:     13012.20313 on epoch:    29, epoch:   31/50, mu: 0.8900858164, learning_rate: 0.0025488338, weight_decay: 0.0001019534

epoch time: 2525.8708496094s, input_fired_time: 15.6704931259, output_fired_time: 17.3661689758, propagate_forward_time: 1061.6998291016, propagate_backward_time: 1407.7912597656, weight_update_time: 2.0951266289, other_time: 23.3431396484
epoch time: 196.8050384521s, input_fired_time: 2.9996256828, output_fired_time: 0.0000000000, propagate_forward_time: 186.7885284424, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0168914795
validation[          , genome  6125] predictions:    5527/  10000 (55.27%), best:    5655/10000 (56.55%), error:     13569.47656, best error:     13012.20313 on epoch:    29, epoch:   32/50, mu: 0.8950815201, learning_rate: 0.0024213921, weight_decay: 0.0000968557

epoch time: 2535.2089843750s, input_fired_time: 16.7608795166, output_fired_time: 20.3296375275, propagate_forward_time: 998.0797729492, propagate_backward_time: 1470.6260986328, weight_update_time: 3.0902941227, other_time: 29.4124755859
epoch time: 202.3475799561s, input_fired_time: 0.9657648206, output_fired_time: 0.0000000000, propagate_forward_time: 199.3991394043, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9826812744
validation[          , genome  6125] predictions:    5549/  10000 (55.49%), best:    5655/10000 (56.55%), error:     13618.53418, best error:     13012.20313 on epoch:    29, epoch:   33/50, mu: 0.8998274207, learning_rate: 0.0023003225, weight_decay: 0.0000920129

epoch time: 2535.5922851563s, input_fired_time: 20.7207374573, output_fired_time: 15.6655778885, propagate_forward_time: 970.6062622070, propagate_backward_time: 1507.1755371094, weight_update_time: 3.0302350521, other_time: 21.4243164063
epoch time: 203.3700103760s, input_fired_time: 4.0182781219, output_fired_time: 0.0000000000, propagate_forward_time: 197.3264312744, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.0252990723
validation[          , genome  6125] predictions:    5748/  10000 (57.48%), best:    5748/10000 (57.48%), error:     12624.66797, best error:     12624.66797 on epoch:    34, epoch:   34/50, mu: 0.9043360353, learning_rate: 0.0021853063, weight_decay: 0.0000874123

epoch time: 2508.4523925781s, input_fired_time: 17.6180553436, output_fired_time: 14.3518247604, propagate_forward_time: 932.5108032227, propagate_backward_time: 1522.3345947266, weight_update_time: 1.0499014854, other_time: 21.6370849609
epoch time: 193.9333343506s, input_fired_time: 3.8835825920, output_fired_time: 0.0000000000, propagate_forward_time: 183.9105529785, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.1392059326
validation[          , genome  6125] predictions:    5489/  10000 (54.89%), best:    5748/10000 (57.48%), error:     13965.74023, best error:     12624.66797 on epoch:    34, epoch:   35/50, mu: 0.9086192250, learning_rate: 0.0020760410, weight_decay: 0.0000830417

epoch time: 2475.7202148438s, input_fired_time: 29.6020069122, output_fired_time: 20.3695335388, propagate_forward_time: 893.2542114258, propagate_backward_time: 1497.7869873047, weight_update_time: 1.0417162180, other_time: 34.7073974609
epoch time: 195.2174530029s, input_fired_time: 0.9482575059, output_fired_time: 0.0000000000, propagate_forward_time: 187.1722259521, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0969696045
validation[          , genome  6125] predictions:    5653/  10000 (56.53%), best:    5748/10000 (57.48%), error:     13276.41602, best error:     12624.66797 on epoch:    34, epoch:   36/50, mu: 0.9126882553, learning_rate: 0.0019722388, weight_decay: 0.0000788896

epoch time: 2462.3320312500s, input_fired_time: 14.6390848160, output_fired_time: 20.2445354462, propagate_forward_time: 908.1469726563, propagate_backward_time: 1491.2608642578, weight_update_time: 2.9924893379, other_time: 28.0404052734
epoch time: 190.2339935303s, input_fired_time: 2.0201616287, output_fired_time: 0.0000000000, propagate_forward_time: 181.3846588135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 6.8291778564
validation[          , genome  6125] predictions:    5670/  10000 (56.70%), best:    5748/10000 (57.48%), error:     13003.56055, best error:     12624.66797 on epoch:    34, epoch:   37/50, mu: 0.9165538549, learning_rate: 0.0018736268, weight_decay: 0.0000749451

epoch time: 2300.6479492188s, input_fired_time: 18.3281917572, output_fired_time: 21.0077476501, propagate_forward_time: 815.2818603516, propagate_backward_time: 1405.5615234375, weight_update_time: 3.1019167900, other_time: 40.4686279297
epoch time: 169.4639892578s, input_fired_time: 0.9069527984, output_fired_time: 0.0000000000, propagate_forward_time: 163.6486663818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.9083709717
validation[          , genome  6125] predictions:    5656/  10000 (56.56%), best:    5748/10000 (57.48%), error:     13169.77734, best error:     12624.66797 on epoch:    34, epoch:   38/50, mu: 0.9202261567, learning_rate: 0.0017799455, weight_decay: 0.0000711978

arguments:
	'projects/csgrid.org_csg/exact_client_0.34_windows_x86_64.exe'
	'--training_file'
	'training_samples.bin'
	'--validation_file'
	'validation_samples.bin'
	'--testing_file'
	'testing_samples.bin'
	'--genome_file'
	'input_genome.txt'
	'--output_file'
	'output_genome.txt'
	'--checkpoint_file'
	'checkpoint.txt'
converting arguments to vector
boincified training filename: '../../projects/csgrid.org_csg/cifar_10_training.bin'
boincified validation filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified testing filename: '../../projects/csgrid.org_csg/cifar_10_testing.bin'
boincified genome filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1542414603_174_6125_0_r713073281_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: 0.923715
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.00169095
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.76379e-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: 39
read max_epochs: 50
read reset_weights: 0
read padding: 2
read best_epoch: 34
read number_validation_images: 10000
read best_validation_predictions: 5748
read best_validation_error: 12624.7
read number_training_images: 50000
read training_predictions: 0
read training_error: 1e+07
read number_test_images: 10000
read test_predictions: 0
read test_error: 1e+07
read generation_id: 6125
read normal distribution: '1 0.586401402950287 -0.895910322666168'
generator_str: '1987218057'
read generator: 1987218057
read generated_by_map:
1 change_size_y 1
reading 88 nodes.
reading 302 edges.
number input nodes: 3
number softmax nodes: 10
order_size: 50000
parsed input file
loaded genome
loading images
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
reading image set with 5000 images.
image_size: 3x32x32 = 3072
read 50000 images.
    class    0: 5000
    class    1: 5000
    class    2: 5000
    class    3: 5000
    class    4: 5000
    class    5: 5000
    class    6: 5000
    class    7: 5000
    class    8: 5000
    class    9: 5000
calculating averages and standard deviations for images
average pixel value for channel 0: 0.491399973630905
average pixel value for channel 1: 0.482159107923508
average pixel value for channel 2: 0.446530401706696
pixel variance for channel 0: 0.0610253289341927
pixel standard deviation for channel 0: 0.247033059597015
pixel variance for channel 1: 0.0592849254608154
pixel standard deviation for channel 1: 0.24348495900631
pixel variance for channel 2: 0.0684280395507813
pixel standard deviation for channel 2: 0.261587530374527
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
number_classes: 10
channels: 3
width: 32
height: 32
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
reading image set with 1000 images.
image_size: 3x32x32 = 3072
read 10000 images.
    class    0: 1000
    class    1: 1000
    class    2: 1000
    class    3: 1000
    class    4: 1000
    class    5: 1000
    class    6: 1000
    class    7: 1000
    class    8: 1000
    class    9: 1000
loaded images
starting backpropagation!
epoch time: 2897.79174804688s, input_fired_time: 24.9035816192627, output_fired_time: 34.2699394226074, propagate_forward_time: 1092.27087402344, propagate_backward_time: 1695.19885253906, weight_update_time: 3.5201473236084, other_time: 51.1484375
epoch time: 233.216827392578s, input_fired_time: 8.30412292480469, output_fired_time: 0, propagate_forward_time: 213.346527099609, propagate_backward_time: 0, weight_update_time: 0, other_time: 11.5661773681641
validation[          , genome  6125] predictions:    5673/  10000 (56.73%), best:    5748/10000 (57.48%), error:     13152.97363, best error:     12624.66797 on epoch:    34, epoch:   39/50, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 2606.7077636719s, input_fired_time: 12.1793375015, output_fired_time: 20.2080383301, propagate_forward_time: 886.6261596680, propagate_backward_time: 1651.5749511719, weight_update_time: 4.1986308098, other_time: 36.1191406250
epoch time: 199.2075042725s, input_fired_time: 1.9581642151, output_fired_time: 0.0000000000, propagate_forward_time: 189.2811431885, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.9682006836
validation[          , genome  6125] predictions:    5734/  10000 (57.34%), best:    5748/10000 (57.48%), error:     13136.13086, best error:     12624.66797 on epoch:    34, epoch:   40/50, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 2538.7109375000s, input_fired_time: 17.6085205078, output_fired_time: 12.3780164719, propagate_forward_time: 942.4631958008, propagate_backward_time: 1549.0262451172, weight_update_time: 2.0306670666, other_time: 17.2352294922
epoch time: 201.0222625732s, input_fired_time: 5.9308977127, output_fired_time: 0.0000000000, propagate_forward_time: 190.9743652344, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.1170043945
validation[          , genome  6125] predictions:    5796/  10000 (57.96%), best:    5748/10000 (57.48%), error:     12763.95020, best error:     12624.66797 on epoch:    34, epoch:   41/50, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 2570.8342285156s, input_fired_time: 16.9263553619, output_fired_time: 18.6620330811, propagate_forward_time: 988.7988281250, propagate_backward_time: 1502.6842041016, weight_update_time: 4.9791226387, other_time: 43.7628173828
epoch time: 197.8770141602s, input_fired_time: 0.9622513056, output_fired_time: 0.0000000000, propagate_forward_time: 192.8850555420, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0297088623
validation[          , genome  6125] predictions:    5785/  10000 (57.85%), best:    5785/10000 (57.85%), error:     12621.38379, best error:     12621.38379 on epoch:    42, epoch:   42/50, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 2543.2036132813s, input_fired_time: 15.8186559677, output_fired_time: 22.7773742676, propagate_forward_time: 901.0559082031, propagate_backward_time: 1577.9388427734, weight_update_time: 3.9928922653, other_time: 25.6129150391
epoch time: 198.5937957764s, input_fired_time: 3.0781240463, output_fired_time: 0.0000000000, propagate_forward_time: 187.4621429443, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0535278320
validation[          , genome  6125] predictions:    5732/  10000 (57.32%), best:    5785/10000 (57.85%), error:     13236.38965, best error:     12621.38379 on epoch:    42, epoch:   43/50, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 2528.1381835938s, input_fired_time: 22.7724971771, output_fired_time: 19.4471549988, propagate_forward_time: 1025.3011474609, propagate_backward_time: 1433.8215332031, weight_update_time: 1.1050882339, other_time: 26.7957763672
epoch time: 187.2224273682s, input_fired_time: 4.8620195389, output_fired_time: 0.0000000000, propagate_forward_time: 174.3070831299, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0533294678
validation[          , genome  6125] predictions:    5828/  10000 (58.28%), best:    5785/10000 (57.85%), error:     12834.81641, best error:     12621.38379 on epoch:    42, epoch:   44/50, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 2406.9787597656s, input_fired_time: 17.3879604340, output_fired_time: 12.9958868027, propagate_forward_time: 897.9865722656, propagate_backward_time: 1457.6015625000, weight_update_time: 1.0075392723, other_time: 21.0068359375
epoch time: 189.1194305420s, input_fired_time: 0.9385359883, output_fired_time: 0.0000000000, propagate_forward_time: 184.2628173828, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.9180755615
validation[          , genome  6125] predictions:    5780/  10000 (57.80%), best:    5785/10000 (57.85%), error:     12712.26660, best error:     12621.38379 on epoch:    42, epoch:   45/50, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 2418.9406738281s, input_fired_time: 21.6237487793, output_fired_time: 15.1050271988, propagate_forward_time: 894.7825927734, propagate_backward_time: 1458.3182373047, weight_update_time: 1.0103909969, other_time: 29.1110839844
epoch time: 193.5760803223s, input_fired_time: 3.8757836819, output_fired_time: 0.0000000000, propagate_forward_time: 182.6726989746, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 7.0276031494
validation[          , genome  6125] predictions:    5877/  10000 (58.77%), best:    5877/10000 (58.77%), error:     12398.14844, best error:     12398.14844 on epoch:    46, epoch:   46/50, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 2426.7463378906s, input_fired_time: 15.6115140915, output_fired_time: 17.9104175568, propagate_forward_time: 941.6119995117, propagate_backward_time: 1431.6961669922, weight_update_time: 2.0021839142, other_time: 19.9161376953
epoch time: 190.6626586914s, input_fired_time: 0.9394112825, output_fired_time: 0.0000000000, propagate_forward_time: 187.8045959473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 1.9186553955
validation[          , genome  6125] predictions:    5938/  10000 (59.38%), best:    5938/10000 (59.38%), error:     12310.06055, best error:     12310.06055 on epoch:    47, epoch:   47/50, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 2429.9533691406s, input_fired_time: 13.6027164459, output_fired_time: 18.1416778564, propagate_forward_time: 888.5794677734, propagate_backward_time: 1483.4132080078, weight_update_time: 3.0026962757, other_time: 26.2163085938
epoch time: 187.9088745117s, input_fired_time: 1.9292147160, output_fired_time: 0.0000000000, propagate_forward_time: 182.0874633789, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.8921966553
validation[          , genome  6125] predictions:    5816/  10000 (58.16%), best:    5938/10000 (59.38%), error:     12577.91406, best error:     12310.06055 on epoch:    47, epoch:   48/50, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 2411.0656738281s, input_fired_time: 17.4345035553, output_fired_time: 26.1797256470, propagate_forward_time: 867.9622802734, propagate_backward_time: 1472.3518066406, weight_update_time: 2.0043594837, other_time: 27.1373291016
epoch time: 190.9057769775s, input_fired_time: 0.9532862306, output_fired_time: 0.0000000000, propagate_forward_time: 181.8904724121, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 8.0620117188
validation[          , genome  6125] predictions:    5931/  10000 (59.31%), best:    5938/10000 (59.38%), error:     12504.71289, best error:     12310.06055 on epoch:    47, epoch:   49/50, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 2426.9108886719s, input_fired_time: 13.7404556274, output_fired_time: 20.2372283936, propagate_forward_time: 1006.5607299805, propagate_backward_time: 1369.2092285156, weight_update_time: 1.0146154165, other_time: 17.1630859375
epoch time: 190.6545104980s, input_fired_time: 0.9469968081, output_fired_time: 0.0000000000, propagate_forward_time: 186.6774139404, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0301055908
validation[          , genome  6125] predictions:    5810/  10000 (58.10%), best:    5938/10000 (59.38%), error:     12463.54199, best error:     12310.06055 on epoch:    47, epoch:   50/50, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

evaluating best weights on full training data.
evaluting training set with running mean/variance:
epoch time: 960.1246337891s, input_fired_time: 8.6756706238, output_fired_time: 0.0000000000, propagate_forward_time: 919.4710693359, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 31.9779052734
best training[          , genome  6125] predictions:   34929/  50000 (69.86%), best:    5938/10000 (59.38%), error:     43274.04297, best error:     12310.06055 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
evaluating best weights on test data.
evaluting test set with running mean/variance:
epoch time: 193.5031890869s, input_fired_time: 5.0883851051, output_fired_time: 0.0000000000, propagate_forward_time: 184.4046173096, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 4.0101928711
   testing[          , genome  6125] predictions:    5938/  10000 (59.38%), best:    5938/10000 (59.38%), error:     12310.06055, best error:     12310.06055 on epoch:    47, epoch:   51/50, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488
backpropagation finished successfully!
08:33:07 (9672): called boinc_finish(0)

</stderr_txt>
]]>