Nameexact_genome_1517574602_48_18246_2
Workunit2990391
Created9 Feb 2018, 5:17:40 UTC
Sent9 Feb 2018, 6:03:35 UTC
Report deadline17 Apr 2018, 20:53:47 UTC
Received11 Feb 2018, 14:17:20 UTC
Server stateOver
OutcomeValidate error
Client stateDone
Exit status0 (0x0)
Computer ID67439
Run time1 days 1 hours 14 min 24 sec
CPU time1 days 1 hours 10 min 31 sec
Validate stateInvalid
Credit0.00
Device peak FLOPS4.54 GFLOPS
Application versionEXACT Batch Norm With Scaled FMP CNN Trainer v0.34
Peak working set size189.42 MB
Peak swap size192.67 MB
Peak disk usage9.77 MB

Stderr output

<core_client_version>7.8.3</core_client_version>
<![CDATA[
<stderr_txt>
cified 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_1517574602_48_18246.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_48_18246_2_r152841888_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: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 331.454
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: 18246
read normal distribution: '1 0 0'
generator_str: '388332583'
read generator: 388332583
read generated_by_map:
1 crossover 1
reading 139 nodes.
reading 572 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!
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_1517574602_48_18246.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_48_18246_2_r152841888_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: 100
read reset_weights: 0
read padding: 2
read best_epoch: 30
read number_validation_images: 10000
read best_validation_predictions: 9896
read best_validation_error: 331.454
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: 18246
read normal distribution: '1 0 0'
generator_str: '388332583'
read generator: 388332583
read generated_by_map:
1 crossover 1
reading 139 nodes.
reading 572 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: 838.213623046875s, input_fired_time: 11.6488456726074, output_fired_time: 10.2248497009277, propagate_forward_time: 323.050567626953, propagate_backward_time: 476.187408447266, weight_update_time: 0.97381865978241, other_time: 17.1019287109375
epoch time: 69.2592010498047s, input_fired_time: 1.49309873580933, output_fired_time: 0, propagate_forward_time: 64.4551467895508, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.31095886230469
validation[          , genome 18246] predictions:    9893/  10000 (98.93%), best:    9896/10000 (98.96%), error:       358.48520, best error:       331.45355 on epoch:    30, epoch:   39/100, mu: 0.9237148762, learning_rate: 0.0016909481, weight_decay: 0.0000676379

epoch time: 843.8278808594s, input_fired_time: 11.7714357376, output_fired_time: 10.2964153290, propagate_forward_time: 326.2139892578, propagate_backward_time: 478.6639099121, weight_update_time: 0.9756286144, other_time: 16.8821716309
epoch time: 69.2274017334s, input_fired_time: 1.4879316092, output_fired_time: 0.0000000000, propagate_forward_time: 64.7594909668, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9799804688
validation[          , genome 18246] predictions:    9909/  10000 (99.09%), best:    9909/10000 (99.09%), error:       290.83502, best error:       290.83502 on epoch:    40, epoch:   40/100, mu: 0.9270291328, learning_rate: 0.0016064007, weight_decay: 0.0000642560

epoch time: 843.7783203125s, input_fired_time: 11.7738819122, output_fired_time: 10.2902965546, propagate_forward_time: 325.6046142578, propagate_backward_time: 479.1793518066, weight_update_time: 0.9952529073, other_time: 16.9302062988
epoch time: 70.0088958740s, input_fired_time: 1.4877227545, output_fired_time: 0.0000000000, propagate_forward_time: 65.3744583130, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1467132568
validation[          , genome 18246] predictions:    9905/  10000 (99.05%), best:    9909/10000 (99.09%), error:       313.64252, best error:       290.83502 on epoch:    40, epoch:   41/100, mu: 0.9301776886, learning_rate: 0.0015260807, weight_decay: 0.0000610432

epoch time: 845.3963012695s, input_fired_time: 11.8115186691, output_fired_time: 10.3425016403, propagate_forward_time: 325.3377380371, propagate_backward_time: 480.8017883301, weight_update_time: 1.0066887140, other_time: 17.1027221680
epoch time: 69.5073928833s, input_fired_time: 1.4957395792, output_fired_time: 0.0000000000, propagate_forward_time: 64.9142456055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0974044800
validation[          , genome 18246] predictions:    9886/  10000 (98.86%), best:    9909/10000 (99.09%), error:       319.17337, best error:       290.83502 on epoch:    40, epoch:   42/100, mu: 0.9331688285, learning_rate: 0.0014497766, weight_decay: 0.0000579911

epoch time: 844.3240966797s, input_fired_time: 11.7800455093, output_fired_time: 10.3347530365, propagate_forward_time: 324.5741882324, propagate_backward_time: 480.0624084473, weight_update_time: 1.0061668158, other_time: 17.5726928711
epoch time: 69.5319213867s, input_fired_time: 1.5045819283, output_fired_time: 0.0000000000, propagate_forward_time: 64.8826065063, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1447296143
validation[          , genome 18246] predictions:    9848/  10000 (98.48%), best:    9909/10000 (99.09%), error:       484.23694, best error:       290.83502 on epoch:    40, epoch:   43/100, mu: 0.9360103607, learning_rate: 0.0013772878, weight_decay: 0.0000550915

epoch time: 845.7256469727s, input_fired_time: 11.8310813904, output_fired_time: 10.4294109344, propagate_forward_time: 325.1835937500, propagate_backward_time: 480.7933349609, weight_update_time: 1.0051918030, other_time: 17.4882812500
epoch time: 71.3429489136s, input_fired_time: 1.5824817419, output_fired_time: 0.0000000000, propagate_forward_time: 66.5420303345, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2184371948
validation[          , genome 18246] predictions:    9904/  10000 (99.04%), best:    9909/10000 (99.09%), error:       301.63156, best error:       290.83502 on epoch:    40, epoch:   44/100, mu: 0.9387098551, learning_rate: 0.0013084234, weight_decay: 0.0000523369

epoch time: 850.9738159180s, input_fired_time: 11.8678398132, output_fired_time: 10.4530639648, propagate_forward_time: 327.9670410156, propagate_backward_time: 482.7963256836, weight_update_time: 0.9962783456, other_time: 17.8895263672
epoch time: 69.4653472900s, input_fired_time: 1.4892385006, output_fired_time: 0.0000000000, propagate_forward_time: 64.6462478638, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3298645020
validation[          , genome 18246] predictions:    9917/  10000 (99.17%), best:    9917/10000 (99.17%), error:       268.07425, best error:       268.07425 on epoch:    45, epoch:   45/100, mu: 0.9412743449, learning_rate: 0.0012430021, weight_decay: 0.0000497201

epoch time: 848.6962280273s, input_fired_time: 11.8694934845, output_fired_time: 10.4303503036, propagate_forward_time: 326.8986206055, propagate_backward_time: 482.3762512207, weight_update_time: 0.9956498742, other_time: 17.1214904785
epoch time: 69.9858474731s, input_fired_time: 1.5245379210, output_fired_time: 0.0000000000, propagate_forward_time: 65.4342498779, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0270614624
validation[          , genome 18246] predictions:    9900/  10000 (99.00%), best:    9917/10000 (99.17%), error:       302.06039, best error:       268.07425 on epoch:    45, epoch:   46/100, mu: 0.9437106252, learning_rate: 0.0011808521, weight_decay: 0.0000472341

epoch time: 845.7351074219s, input_fired_time: 11.8392400742, output_fired_time: 10.4337711334, propagate_forward_time: 325.9612426758, propagate_backward_time: 480.7454528809, weight_update_time: 1.0155178308, other_time: 16.7554016113
epoch time: 69.0106964111s, input_fired_time: 1.4909406900, output_fired_time: 0.0000000000, propagate_forward_time: 64.5154953003, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0042572021
validation[          , genome 18246] predictions:    9904/  10000 (99.04%), best:    9917/10000 (99.17%), error:       313.01453, best error:       268.07425 on epoch:    45, epoch:   47/100, mu: 0.9460250735, learning_rate: 0.0011218095, weight_decay: 0.0000448724

epoch time: 849.7808227539s, input_fired_time: 11.8827009201, output_fired_time: 10.4700737000, propagate_forward_time: 326.6152343750, propagate_backward_time: 482.9993591309, weight_update_time: 0.9883199334, other_time: 17.8134460449
epoch time: 70.2944946289s, input_fired_time: 1.5309598446, output_fired_time: 0.0000000000, propagate_forward_time: 65.4109420776, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3525924683
validation[          , genome 18246] predictions:    9906/  10000 (99.06%), best:    9917/10000 (99.17%), error:       288.53049, best error:       268.07425 on epoch:    45, epoch:   48/100, mu: 0.9482238293, learning_rate: 0.0010657189, weight_decay: 0.0000426288

epoch time: 848.5575561523s, input_fired_time: 11.9378156662, output_fired_time: 10.5030670166, propagate_forward_time: 326.6517944336, propagate_backward_time: 482.5249633789, weight_update_time: 1.0037386417, other_time: 16.9399414063
epoch time: 69.9327163696s, input_fired_time: 1.5078290701, output_fired_time: 0.0000000000, propagate_forward_time: 65.4315795898, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9933090210
validation[          , genome 18246] predictions:    9891/  10000 (98.91%), best:    9917/10000 (99.17%), error:       338.19601, best error:       268.07425 on epoch:    45, epoch:   49/100, mu: 0.9503126144, learning_rate: 0.0010124330, weight_decay: 0.0000404973

epoch time: 848.9222412109s, input_fired_time: 11.8937120438, output_fired_time: 10.5009374619, propagate_forward_time: 326.9725341797, propagate_backward_time: 483.0784606934, weight_update_time: 1.0073689222, other_time: 16.4765930176
epoch time: 70.1613464355s, input_fired_time: 1.5634127855, output_fired_time: 0.0000000000, propagate_forward_time: 65.6004562378, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9974746704
validation[          , genome 18246] predictions:    9903/  10000 (99.03%), best:    9917/10000 (99.17%), error:       288.13913, best error:       268.07425 on epoch:    45, epoch:   50/100, mu: 0.9522969723, learning_rate: 0.0009618113, weight_decay: 0.0000384725

epoch time: 850.5112304688s, input_fired_time: 11.9424133301, output_fired_time: 10.4584617615, propagate_forward_time: 327.3019714355, propagate_backward_time: 482.9686584473, weight_update_time: 1.0088325739, other_time: 17.8397827148
epoch time: 71.1193542480s, input_fired_time: 1.5739053488, output_fired_time: 0.0000000000, propagate_forward_time: 65.9579696655, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.5874786377
validation[          , genome 18246] predictions:    9865/  10000 (98.65%), best:    9917/10000 (99.17%), error:       455.66992, best error:       268.07425 on epoch:    45, epoch:   51/100, mu: 0.9541821480, learning_rate: 0.0009137207, weight_decay: 0.0000365488

epoch time: 850.8641357422s, input_fired_time: 11.9412288666, output_fired_time: 10.5199480057, propagate_forward_time: 327.5912780762, propagate_backward_time: 483.8134765625, weight_update_time: 0.9851487279, other_time: 16.9981994629
epoch time: 71.2830123901s, input_fired_time: 1.5526190996, output_fired_time: 0.0000000000, propagate_forward_time: 66.6862182617, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0441741943
validation[          , genome 18246] predictions:    9915/  10000 (99.15%), best:    9915/10000 (99.15%), error:       259.09045, best error:       259.09045 on epoch:    52, epoch:   52/100, mu: 0.9559730291, learning_rate: 0.0008680347, weight_decay: 0.0000347214

epoch time: 850.2631225586s, input_fired_time: 11.9224529266, output_fired_time: 10.5293130875, propagate_forward_time: 327.6050415039, propagate_backward_time: 482.9993286133, weight_update_time: 1.0069284439, other_time: 17.2070312500
epoch time: 69.7460021973s, input_fired_time: 1.5239051580, output_fired_time: 0.0000000000, propagate_forward_time: 65.1213150024, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1007843018
validation[          , genome 18246] predictions:    9904/  10000 (99.04%), best:    9915/10000 (99.15%), error:       301.49396, best error:       259.09045 on epoch:    52, epoch:   53/100, mu: 0.9576743841, learning_rate: 0.0008246329, weight_decay: 0.0000329853

epoch time: 849.4311523438s, input_fired_time: 11.9410619736, output_fired_time: 10.4803524017, propagate_forward_time: 326.8171691895, propagate_backward_time: 483.0587768555, weight_update_time: 1.0393739939, other_time: 17.1338195801
epoch time: 70.4335098267s, input_fired_time: 1.5534509420, output_fired_time: 0.0000000000, propagate_forward_time: 65.7345504761, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1455078125
validation[          , genome 18246] predictions:    9912/  10000 (99.12%), best:    9915/10000 (99.15%), error:       275.24292, best error:       259.09045 on epoch:    52, epoch:   54/100, mu: 0.9592906833, learning_rate: 0.0007834013, weight_decay: 0.0000313361

epoch time: 849.1245117188s, input_fired_time: 11.9968709946, output_fired_time: 10.5213737488, propagate_forward_time: 327.5025939941, propagate_backward_time: 482.4603881836, weight_update_time: 1.0295093060, other_time: 16.6432800293
epoch time: 69.5593643188s, input_fired_time: 1.5245263577, output_fired_time: 0.0000000000, propagate_forward_time: 65.1250686646, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9097671509
validation[          , genome 18246] predictions:    9907/  10000 (99.07%), best:    9915/10000 (99.15%), error:       288.27423, best error:       259.09045 on epoch:    52, epoch:   55/100, mu: 0.9608261585, learning_rate: 0.0007442312, weight_decay: 0.0000297693

epoch time: 847.2664794922s, input_fired_time: 11.9653968811, output_fired_time: 10.5800142288, propagate_forward_time: 326.3776855469, propagate_backward_time: 481.5260925293, weight_update_time: 1.0462839603, other_time: 16.8172912598
epoch time: 70.3472900391s, input_fired_time: 1.5813372135, output_fired_time: 0.0000000000, propagate_forward_time: 65.6246643066, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1412887573
validation[          , genome 18246] predictions:    9910/  10000 (99.10%), best:    9915/10000 (99.15%), error:       299.53549, best error:       259.09045 on epoch:    52, epoch:   56/100, mu: 0.9622848630, learning_rate: 0.0007070196, weight_decay: 0.0000282808

epoch time: 849.3518066406s, input_fired_time: 11.9864816666, output_fired_time: 10.5919532776, propagate_forward_time: 327.7841186523, propagate_backward_time: 482.1647644043, weight_update_time: 1.0307245255, other_time: 16.8244323730
epoch time: 70.1694869995s, input_fired_time: 1.5297939777, output_fired_time: 0.0000000000, propagate_forward_time: 65.6598739624, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9798202515
validation[          , genome 18246] predictions:    9908/  10000 (99.08%), best:    9915/10000 (99.15%), error:       267.83835, best error:       259.09045 on epoch:    52, epoch:   57/100, mu: 0.9636706114, learning_rate: 0.0006716687, weight_decay: 0.0000268668

epoch time: 845.9397583008s, input_fired_time: 11.9399862289, output_fired_time: 10.5002460480, propagate_forward_time: 326.2732849121, propagate_backward_time: 480.4884338379, weight_update_time: 1.0083746910, other_time: 16.7377929688
epoch time: 70.0350646973s, input_fired_time: 1.5313526392, output_fired_time: 0.0000000000, propagate_forward_time: 65.4689483643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0347671509
validation[          , genome 18246] predictions:    9898/  10000 (98.98%), best:    9915/10000 (99.15%), error:       306.42166, best error:       259.09045 on epoch:    52, epoch:   58/100, mu: 0.9649870992, learning_rate: 0.0006380852, weight_decay: 0.0000255234

epoch time: 848.1066894531s, input_fired_time: 11.9761066437, output_fired_time: 10.5100002289, propagate_forward_time: 327.2399902344, propagate_backward_time: 481.2894897461, weight_update_time: 1.0315002203, other_time: 17.0910644531
epoch time: 69.8369522095s, input_fired_time: 1.5221494436, output_fired_time: 0.0000000000, propagate_forward_time: 65.2336425781, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0811614990
validation[          , genome 18246] predictions:    9912/  10000 (99.12%), best:    9915/10000 (99.15%), error:       277.07443, best error:       259.09045 on epoch:    52, epoch:   59/100, mu: 0.9662377238, learning_rate: 0.0006061810, weight_decay: 0.0000242472

epoch time: 849.6542968750s, input_fired_time: 11.9828720093, output_fired_time: 10.4587154388, propagate_forward_time: 327.5864562988, propagate_backward_time: 481.8646545410, weight_update_time: 1.0181211233, other_time: 17.7615966797
epoch time: 70.1633071899s, input_fired_time: 1.5546861887, output_fired_time: 0.0000000000, propagate_forward_time: 65.4376831055, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1709365845
validation[          , genome 18246] predictions:    9915/  10000 (99.15%), best:    9915/10000 (99.15%), error:       277.03232, best error:       259.09045 on epoch:    52, epoch:   60/100, mu: 0.9674258232, learning_rate: 0.0005758719, weight_decay: 0.0000230349

epoch time: 845.5239257813s, input_fired_time: 11.9705324173, output_fired_time: 10.4907417297, propagate_forward_time: 325.7739257813, propagate_backward_time: 480.4745178223, weight_update_time: 1.0248637199, other_time: 16.8142395020
epoch time: 70.1479721069s, input_fired_time: 1.5514333248, output_fired_time: 0.0000000000, propagate_forward_time: 65.5222091675, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0743331909
validation[          , genome 18246] predictions:    9919/  10000 (99.19%), best:    9915/10000 (99.15%), error:       260.76456, best error:       259.09045 on epoch:    52, epoch:   61/100, mu: 0.9685545564, learning_rate: 0.0005470783, weight_decay: 0.0000218831

epoch time: 848.4534912109s, input_fired_time: 11.9814825058, output_fired_time: 10.5031633377, propagate_forward_time: 327.1544494629, propagate_backward_time: 481.9488830566, weight_update_time: 1.0163353682, other_time: 16.8654785156
epoch time: 70.3451385498s, input_fired_time: 1.5748461485, output_fired_time: 0.0000000000, propagate_forward_time: 65.4806137085, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2896804810
validation[          , genome 18246] predictions:    9914/  10000 (99.14%), best:    9915/10000 (99.15%), error:       299.52917, best error:       259.09045 on epoch:    52, epoch:   62/100, mu: 0.9696268439, learning_rate: 0.0005197244, weight_decay: 0.0000207890

epoch time: 850.6649780273s, input_fired_time: 12.0390138626, output_fired_time: 10.5334539413, propagate_forward_time: 327.6497802734, propagate_backward_time: 482.3452453613, weight_update_time: 1.0579403639, other_time: 18.0975036621
epoch time: 69.9709396362s, input_fired_time: 1.5554074049, output_fired_time: 0.0000000000, propagate_forward_time: 65.2835464478, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1319885254
validation[          , genome 18246] predictions:    9915/  10000 (99.15%), best:    9915/10000 (99.15%), error:       282.57953, best error:       259.09045 on epoch:    52, epoch:   63/100, mu: 0.9706454873, learning_rate: 0.0004937382, weight_decay: 0.0000197495

epoch time: 830.0714111328s, input_fired_time: 11.8333253860, output_fired_time: 10.3033180237, propagate_forward_time: 318.7049255371, propagate_backward_time: 472.1923828125, weight_update_time: 1.0070761442, other_time: 17.0374450684
epoch time: 66.6472091675s, input_fired_time: 1.4970762730, output_fired_time: 0.0000000000, propagate_forward_time: 62.1107826233, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0393486023
validation[          , genome 18246] predictions:    9918/  10000 (99.18%), best:    9918/10000 (99.18%), error:       250.42203, best error:       250.42203 on epoch:    64, epoch:   64/100, mu: 0.9716132283, learning_rate: 0.0004690512, weight_decay: 0.0000187621

epoch time: 841.1082153320s, input_fired_time: 11.9802989960, output_fired_time: 10.4422082901, propagate_forward_time: 324.6820068359, propagate_backward_time: 477.5707702637, weight_update_time: 1.0460500717, other_time: 16.4329528809
epoch time: 70.1987380981s, input_fired_time: 1.5583305359, output_fired_time: 0.0000000000, propagate_forward_time: 65.4919967651, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1484146118
validation[          , genome 18246] predictions:    9920/  10000 (99.20%), best:    9918/10000 (99.18%), error:       286.22214, best error:       250.42203 on epoch:    64, epoch:   65/100, mu: 0.9725325704, learning_rate: 0.0004455987, weight_decay: 0.0000178240

epoch time: 850.0591430664s, input_fired_time: 12.0812644958, output_fired_time: 10.5948972702, propagate_forward_time: 326.7895202637, propagate_backward_time: 483.0902404785, weight_update_time: 1.0585492849, other_time: 17.5032348633
epoch time: 69.6854629517s, input_fired_time: 1.5338267088, output_fired_time: 0.0000000000, propagate_forward_time: 65.1095199585, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0421142578
validation[          , genome 18246] predictions:    9912/  10000 (99.12%), best:    9918/10000 (99.18%), error:       263.21603, best error:       250.42203 on epoch:    64, epoch:   66/100, mu: 0.9734059572, learning_rate: 0.0004233187, weight_decay: 0.0000169328

epoch time: 846.7136840820s, input_fired_time: 12.0108556747, output_fired_time: 10.5250711441, propagate_forward_time: 326.1586608887, propagate_backward_time: 481.2886352539, weight_update_time: 1.0206149817, other_time: 16.7304382324
epoch time: 68.6802978516s, input_fired_time: 1.4902071953, output_fired_time: 0.0000000000, propagate_forward_time: 64.3969421387, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7931518555
validation[          , genome 18246] predictions:    9921/  10000 (99.21%), best:    9918/10000 (99.18%), error:       275.30563, best error:       250.42203 on epoch:    64, epoch:   67/100, mu: 0.9742356539, learning_rate: 0.0004021528, weight_decay: 0.0000160861

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_1517574602_48_18246.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_48_18246_2_r152841888_0'
boincified checkpoint filename: 'checkpoint.txt'
loading genome
starting from checkpoint file: 'checkpoint.txt'
read CNN_Genome file with version string: 'v0.33'
read exact_id: -1
read genome_id: -1
read initial_mu: 0.5
read mu: 0.975024
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000382045
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 1.52818e-05
read weight_decay_delta: 0.95
read batch_size: 50
read epsilon: 1e-07
read alpha: 0.1
read input_dropout_probability: 0
read hidden_dropout_probability: 0
read velocity_reset: 1000
read epoch: 68
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 64
read number_validation_images: 10000
read best_validation_predictions: 9918
read best_validation_error: 250.422
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: 18246
read normal distribution: '1 0 0'
generator_str: '978231955'
read generator: 978231955
read generated_by_map:
1 crossover 1
reading 139 nodes.
reading 572 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: 844.457702636719s, input_fired_time: 11.9352102279663, output_fired_time: 10.4537916183472, propagate_forward_time: 325.020812988281, propagate_backward_time: 480.386596679688, weight_update_time: 1.01936435699463, other_time: 16.6613159179688
epoch time: 69.5994567871094s, input_fired_time: 1.54782950878143, output_fired_time: 0, propagate_forward_time: 64.9246520996094, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.12697601318359
validation[          , genome 18246] predictions:    9917/  10000 (99.17%), best:    9918/10000 (99.18%), error:       261.16827, best error:       250.42203 on epoch:    64, epoch:   68/100, mu: 0.9750238657, learning_rate: 0.0003820452, weight_decay: 0.0000152818

epoch time: 851.2751464844s, input_fired_time: 12.1183195114, output_fired_time: 10.6198434830, propagate_forward_time: 328.9787902832, propagate_backward_time: 483.2463378906, weight_update_time: 1.0488713980, other_time: 16.3117980957
epoch time: 69.6996688843s, input_fired_time: 1.5378323793, output_fired_time: 0.0000000000, propagate_forward_time: 65.3332366943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8285980225
validation[          , genome 18246] predictions:    9925/  10000 (99.25%), best:    9925/10000 (99.25%), error:       246.00250, best error:       246.00250 on epoch:    69, epoch:   69/100, mu: 0.9757726789, learning_rate: 0.0003629429, weight_decay: 0.0000145177

epoch time: 844.6867675781s, input_fired_time: 11.9307823181, output_fired_time: 10.3280687332, propagate_forward_time: 326.5459594727, propagate_backward_time: 480.3196105957, weight_update_time: 1.0180554390, other_time: 15.5623474121
epoch time: 69.9790573120s, input_fired_time: 1.5453462601, output_fired_time: 0.0000000000, propagate_forward_time: 65.6259689331, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8077392578
validation[          , genome 18246] predictions:    9918/  10000 (99.18%), best:    9925/10000 (99.25%), error:       259.47418, best error:       246.00250 on epoch:    69, epoch:   70/100, mu: 0.9764840603, learning_rate: 0.0003447958, weight_decay: 0.0000137918

epoch time: 849.0568847656s, input_fired_time: 11.9865493774, output_fired_time: 10.5064039230, propagate_forward_time: 327.0436706543, propagate_backward_time: 481.8901672363, weight_update_time: 1.0411336422, other_time: 17.6300659180
epoch time: 70.3450775146s, input_fired_time: 1.5496557951, output_fired_time: 0.0000000000, propagate_forward_time: 65.4064712524, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3889541626
validation[          , genome 18246] predictions:    9925/  10000 (99.25%), best:    9925/10000 (99.25%), error:       246.12386, best error:       246.00250 on epoch:    69, epoch:   71/100, mu: 0.9771598577, learning_rate: 0.0003275560, weight_decay: 0.0000131022

epoch time: 847.3315429688s, input_fired_time: 11.9215536118, output_fired_time: 10.4136161804, propagate_forward_time: 326.3314514160, propagate_backward_time: 480.8433532715, weight_update_time: 1.0075888634, other_time: 17.8215332031
epoch time: 68.7345962524s, input_fired_time: 1.4968847036, output_fired_time: 0.0000000000, propagate_forward_time: 64.1077270508, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1299819946
validation[          , genome 18246] predictions:    9922/  10000 (99.22%), best:    9925/10000 (99.25%), error:       264.05045, best error:       246.00250 on epoch:    69, epoch:   72/100, mu: 0.9778018594, learning_rate: 0.0003111782, weight_decay: 0.0000124471

epoch time: 845.3563842773s, input_fired_time: 11.8741674423, output_fired_time: 10.3608837128, propagate_forward_time: 325.6629333496, propagate_backward_time: 479.4936523438, weight_update_time: 0.9987704158, other_time: 17.9647521973
epoch time: 70.0024795532s, input_fired_time: 1.5095601082, output_fired_time: 0.0000000000, propagate_forward_time: 65.1959533691, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2969665527
validation[          , genome 18246] predictions:    9920/  10000 (99.20%), best:    9925/10000 (99.25%), error:       254.55621, best error:       246.00250 on epoch:    69, epoch:   73/100, mu: 0.9784117937, learning_rate: 0.0002956192, weight_decay: 0.0000118248

epoch time: 843.9779663086s, input_fired_time: 11.8824071884, output_fired_time: 10.3901109695, propagate_forward_time: 323.7307434082, propagate_backward_time: 479.7211608887, weight_update_time: 1.0077662468, other_time: 18.2535400391
epoch time: 69.6938934326s, input_fired_time: 1.5228892565, output_fired_time: 0.0000000000, propagate_forward_time: 64.7580108643, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4129943848
validation[          , genome 18246] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       243.29959, best error:       243.29959 on epoch:    74, epoch:   74/100, mu: 0.9789912105, learning_rate: 0.0002808383, weight_decay: 0.0000112335

epoch time: 844.8819580078s, input_fired_time: 11.8358278275, output_fired_time: 10.3158979416, propagate_forward_time: 324.5653991699, propagate_backward_time: 479.6885986328, weight_update_time: 0.9916621447, other_time: 18.4762268066
epoch time: 67.4153823853s, input_fired_time: 1.3801000118, output_fired_time: 0.0000000000, propagate_forward_time: 62.5923347473, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4429512024
validation[          , genome 18246] predictions:    9914/  10000 (99.14%), best:    9924/10000 (99.24%), error:       273.95847, best error:       243.29959 on epoch:    74, epoch:   75/100, mu: 0.9795416594, learning_rate: 0.0002667964, weight_decay: 0.0000106719

epoch time: 820.3524169922s, input_fired_time: 11.2470684052, output_fired_time: 9.6694927216, propagate_forward_time: 315.3911743164, propagate_backward_time: 466.8347167969, weight_update_time: 0.8691281676, other_time: 17.2099609375
epoch time: 67.6563186646s, input_fired_time: 1.4054063559, output_fired_time: 0.0000000000, propagate_forward_time: 63.1288719177, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1220436096
validation[          , genome 18246] predictions:    9926/  10000 (99.26%), best:    9924/10000 (99.24%), error:       246.09125, best error:       243.29959 on epoch:    74, epoch:   76/100, mu: 0.9800645709, learning_rate: 0.0002534565, weight_decay: 0.0000101383

epoch time: 813.8908081055s, input_fired_time: 11.1652479172, output_fired_time: 9.5894670486, propagate_forward_time: 312.7324829102, propagate_backward_time: 463.0681152344, weight_update_time: 0.8501894474, other_time: 17.3355102539
epoch time: 66.3547821045s, input_fired_time: 1.3631726503, output_fired_time: 0.0000000000, propagate_forward_time: 61.6460380554, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3455696106
validation[          , genome 18246] predictions:    9923/  10000 (99.23%), best:    9924/10000 (99.24%), error:       249.86203, best error:       243.29959 on epoch:    74, epoch:   77/100, mu: 0.9805613160, learning_rate: 0.0002407837, weight_decay: 0.0000096314

epoch time: 805.8020629883s, input_fired_time: 11.0478134155, output_fired_time: 9.4579000473, propagate_forward_time: 308.3407287598, propagate_backward_time: 459.3352355957, weight_update_time: 0.8354588151, other_time: 17.6204223633
epoch time: 67.7747421265s, input_fired_time: 1.3911776543, output_fired_time: 0.0000000000, propagate_forward_time: 63.1158103943, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2677574158
validation[          , genome 18246] predictions:    9923/  10000 (99.23%), best:    9924/10000 (99.24%), error:       258.11713, best error:       243.29959 on epoch:    74, epoch:   78/100, mu: 0.9810332656, learning_rate: 0.0002287445, weight_decay: 0.0000091498

epoch time: 816.4616699219s, input_fired_time: 11.1363115311, output_fired_time: 9.5067777634, propagate_forward_time: 314.0296020508, propagate_backward_time: 464.1452331543, weight_update_time: 0.8450803161, other_time: 17.6437683105
epoch time: 67.4106140137s, input_fired_time: 1.3872492313, output_fired_time: 0.0000000000, propagate_forward_time: 62.6947860718, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3285751343
validation[          , genome 18246] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       240.92113, best error:       240.92113 on epoch:    79, epoch:   79/100, mu: 0.9814816117, learning_rate: 0.0002173073, weight_decay: 0.0000086923

epoch time: 812.2001342773s, input_fired_time: 11.1273860931, output_fired_time: 9.4238910675, propagate_forward_time: 311.4584045410, propagate_backward_time: 462.1870422363, weight_update_time: 0.8420623541, other_time: 18.0034179688
epoch time: 66.9097595215s, input_fired_time: 1.4010698795, output_fired_time: 0.0000000000, propagate_forward_time: 62.1217269897, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3869628906
validation[          , genome 18246] predictions:    9924/  10000 (99.24%), best:    9924/10000 (99.24%), error:       247.37715, best error:       240.92113 on epoch:    79, epoch:   80/100, mu: 0.9819075465, learning_rate: 0.0002064419, weight_decay: 0.0000082577

epoch time: 809.8386840820s, input_fired_time: 11.0690746307, output_fired_time: 9.4725399017, propagate_forward_time: 309.7535400391, propagate_backward_time: 461.7994995117, weight_update_time: 0.8393793106, other_time: 17.7440185547
epoch time: 65.6667861938s, input_fired_time: 1.3525365591, output_fired_time: 0.0000000000, propagate_forward_time: 61.1159362793, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1983108521
validation[          , genome 18246] predictions:    9909/  10000 (99.09%), best:    9924/10000 (99.24%), error:       267.53143, best error:       240.92113 on epoch:    79, epoch:   81/100, mu: 0.9823121428, learning_rate: 0.0001961198, weight_decay: 0.0000078448

epoch time: 811.3630371094s, input_fired_time: 10.9956893921, output_fired_time: 9.3893146515, propagate_forward_time: 309.8489685059, propagate_backward_time: 463.6984558105, weight_update_time: 0.8098779321, other_time: 17.4306030273
epoch time: 66.9242095947s, input_fired_time: 1.3639322519, output_fired_time: 0.0000000000, propagate_forward_time: 62.1288452148, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.4314346313
validation[          , genome 18246] predictions:    9923/  10000 (99.23%), best:    9924/10000 (99.24%), error:       254.63391, best error:       240.92113 on epoch:    79, epoch:   82/100, mu: 0.9826965332, learning_rate: 0.0001863138, weight_decay: 0.0000074526

epoch time: 805.0093994141s, input_fired_time: 10.9550142288, output_fired_time: 9.2979326248, propagate_forward_time: 307.6874084473, propagate_backward_time: 459.1956787109, weight_update_time: 0.8012778759, other_time: 17.8733825684
epoch time: 66.9472579956s, input_fired_time: 1.3638122082, output_fired_time: 0.0000000000, propagate_forward_time: 62.2584686279, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3249740601
validation[          , genome 18246] predictions:    9922/  10000 (99.22%), best:    9924/10000 (99.24%), error:       245.99895, best error:       240.92113 on epoch:    79, epoch:   83/100, mu: 0.9830617309, learning_rate: 0.0001769981, weight_decay: 0.0000070799

epoch time: 810.5357666016s, input_fired_time: 11.0360164642, output_fired_time: 9.3594894409, propagate_forward_time: 310.4518127441, propagate_backward_time: 461.8566589355, weight_update_time: 0.8090358973, other_time: 17.8317871094
epoch time: 67.1368637085s, input_fired_time: 1.3682197332, output_fired_time: 0.0000000000, propagate_forward_time: 62.3756980896, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.3929481506
validation[          , genome 18246] predictions:    9923/  10000 (99.23%), best:    9924/10000 (99.24%), error:       251.18269, best error:       240.92113 on epoch:    79, epoch:   84/100, mu: 0.9834086299, learning_rate: 0.0001681482, weight_decay: 0.0000067259

epoch time: 806.9186401367s, input_fired_time: 11.0271787643, output_fired_time: 9.3481693268, propagate_forward_time: 309.3292846680, propagate_backward_time: 459.8996276855, weight_update_time: 0.8178266287, other_time: 17.3144226074
epoch time: 65.1620635986s, input_fired_time: 1.3376882076, output_fired_time: 0.0000000000, propagate_forward_time: 60.6900177002, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1343574524
validation[          , genome 18246] predictions:    9918/  10000 (99.18%), best:    9924/10000 (99.24%), error:       257.94800, best error:       240.92113 on epoch:    79, epoch:   85/100, mu: 0.9837381840, learning_rate: 0.0001597408, weight_decay: 0.0000063896

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_1517574602_48_18246.txt'
boincified output filename: '../../projects/csgrid.org_csg/exact_genome_1517574602_48_18246_2_r152841888_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: 0.984051
read mu_delta: 0.95
read initial_learning_rate: 0.0125
read learning_rate: 0.000151754
read learning_rate_delta: 0.95
read initial_weight_decay: 0.0005
read weight_decay: 6.07015e-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: 86
read max_epochs: 100
read reset_weights: 0
read padding: 2
read best_epoch: 79
read number_validation_images: 10000
read best_validation_predictions: 9924
read best_validation_error: 240.921
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: 18246
read normal distribution: '1 0 0'
generator_str: '2010332027'
read generator: 2010332027
read generated_by_map:
1 crossover 1
reading 139 nodes.
reading 572 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: 816.568664550781s, input_fired_time: 11.0858383178711, output_fired_time: 9.41391277313232, propagate_forward_time: 314.70068359375, propagate_backward_time: 465.128662109375, weight_update_time: 0.823998689651489, other_time: 16.2395629882813
epoch time: 66.3562927246094s, input_fired_time: 1.34793388843536, output_fired_time: 0, propagate_forward_time: 61.9671401977539, propagate_backward_time: 0, weight_update_time: 0, other_time: 3.04122161865234
validation[          , genome 18246] predictions:    9925/  10000 (99.25%), best:    9924/10000 (99.24%), error:       242.44925, best error:       240.92113 on epoch:    79, epoch:   86/100, mu: 0.9840512872, learning_rate: 0.0001517538, weight_decay: 0.0000060702

epoch time: 811.4792480469s, input_fired_time: 10.9866018295, output_fired_time: 9.3445959091, propagate_forward_time: 311.5637512207, propagate_backward_time: 463.2592773438, weight_update_time: 0.8119442463, other_time: 16.3250427246
epoch time: 66.4370956421s, input_fired_time: 1.3429305553, output_fired_time: 0.0000000000, propagate_forward_time: 62.1148376465, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9793243408
validation[          , genome 18246] predictions:    9926/  10000 (99.26%), best:    9924/10000 (99.24%), error:       252.08630, best error:       240.92113 on epoch:    79, epoch:   87/100, mu: 0.9843487144, learning_rate: 0.0001441661, weight_decay: 0.0000057666

epoch time: 821.6597900391s, input_fired_time: 11.1230745316, output_fired_time: 9.5188236237, propagate_forward_time: 316.4094848633, propagate_backward_time: 468.0558776855, weight_update_time: 0.8376686573, other_time: 16.5525817871
epoch time: 68.4372711182s, input_fired_time: 1.3941344023, output_fired_time: 0.0000000000, propagate_forward_time: 63.8062400818, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2368965149
validation[          , genome 18246] predictions:    9918/  10000 (99.18%), best:    9924/10000 (99.24%), error:       244.55331, best error:       240.92113 on epoch:    79, epoch:   88/100, mu: 0.9846313000, learning_rate: 0.0001369578, weight_decay: 0.0000054783

epoch time: 831.8094482422s, input_fired_time: 11.2837371826, output_fired_time: 9.6565704346, propagate_forward_time: 321.0814819336, propagate_backward_time: 472.8767395020, weight_update_time: 0.8542737365, other_time: 16.9109191895
epoch time: 66.1858062744s, input_fired_time: 1.3463284969, output_fired_time: 0.0000000000, propagate_forward_time: 61.9541511536, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8853263855
validation[          , genome 18246] predictions:    9927/  10000 (99.27%), best:    9924/10000 (99.24%), error:       241.45857, best error:       240.92113 on epoch:    79, epoch:   89/100, mu: 0.9848997593, learning_rate: 0.0001301099, weight_decay: 0.0000052044

epoch time: 807.2484741211s, input_fired_time: 10.9944829941, output_fired_time: 9.3861188889, propagate_forward_time: 309.9279785156, propagate_backward_time: 461.0930175781, weight_update_time: 0.7968440056, other_time: 15.8468627930
epoch time: 66.1849899292s, input_fired_time: 1.3482831717, output_fired_time: 0.0000000000, propagate_forward_time: 61.7427101135, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0939979553
validation[          , genome 18246] predictions:    9925/  10000 (99.25%), best:    9924/10000 (99.24%), error:       241.37569, best error:       240.92113 on epoch:    79, epoch:   90/100, mu: 0.9851547480, learning_rate: 0.0001236044, weight_decay: 0.0000049442

epoch time: 810.1567993164s, input_fired_time: 11.0271787643, output_fired_time: 9.3729667664, propagate_forward_time: 310.6976928711, propagate_backward_time: 462.2905273438, weight_update_time: 0.8244316578, other_time: 16.7684326172
epoch time: 65.8513412476s, input_fired_time: 1.3432404995, output_fired_time: 0.0000000000, propagate_forward_time: 61.5095863342, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9985160828
validation[          , genome 18246] predictions:    9929/  10000 (99.29%), best:    9924/10000 (99.24%), error:       244.47765, best error:       240.92113 on epoch:    79, epoch:   91/100, mu: 0.9853969812, learning_rate: 0.0001174242, weight_decay: 0.0000046970

epoch time: 808.8094482422s, input_fired_time: 11.0445499420, output_fired_time: 9.3751621246, propagate_forward_time: 310.4834289551, propagate_backward_time: 461.8554382324, weight_update_time: 0.8194015622, other_time: 16.0508422852
epoch time: 66.3198471069s, input_fired_time: 1.3555980921, output_fired_time: 0.0000000000, propagate_forward_time: 61.8253593445, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.1388893127
validation[          , genome 18246] predictions:    9927/  10000 (99.27%), best:    9924/10000 (99.24%), error:       241.80820, best error:       240.92113 on epoch:    79, epoch:   92/100, mu: 0.9856271148, learning_rate: 0.0001115530, weight_decay: 0.0000044621

epoch time: 810.6979370117s, input_fired_time: 11.0475206375, output_fired_time: 9.4225473404, propagate_forward_time: 310.8829650879, propagate_backward_time: 463.0578918457, weight_update_time: 0.8281214237, other_time: 16.2869873047
epoch time: 67.2512359619s, input_fired_time: 1.3865752220, output_fired_time: 0.0000000000, propagate_forward_time: 63.1189689636, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.7456932068
validation[          , genome 18246] predictions:    9931/  10000 (99.31%), best:    9931/10000 (99.31%), error:       238.76999, best error:       238.76999 on epoch:    93, epoch:   93/100, mu: 0.9858457446, learning_rate: 0.0001059753, weight_decay: 0.0000042390

epoch time: 811.0236816406s, input_fired_time: 11.0811338425, output_fired_time: 9.4084596634, propagate_forward_time: 312.6169433594, propagate_backward_time: 462.6326904297, weight_update_time: 0.8252321482, other_time: 15.2844848633
epoch time: 66.6087799072s, input_fired_time: 1.3583242893, output_fired_time: 0.0000000000, propagate_forward_time: 62.2761268616, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9743309021
validation[          , genome 18246] predictions:    9930/  10000 (99.30%), best:    9931/10000 (99.31%), error:       240.42950, best error:       238.76999 on epoch:    93, epoch:   94/100, mu: 0.9860534668, learning_rate: 0.0001006766, weight_decay: 0.0000040271

epoch time: 811.1719970703s, input_fired_time: 11.0225439072, output_fired_time: 9.3576946259, propagate_forward_time: 311.9599914551, propagate_backward_time: 462.9216613770, weight_update_time: 0.8074650168, other_time: 15.9101562500
epoch time: 66.2688980103s, input_fired_time: 1.3533267975, output_fired_time: 0.0000000000, propagate_forward_time: 62.0358924866, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.8796806335
validation[          , genome 18246] predictions:    9929/  10000 (99.29%), best:    9931/10000 (99.31%), error:       242.18748, best error:       238.76999 on epoch:    93, epoch:   95/100, mu: 0.9862508178, learning_rate: 0.0000956427, weight_decay: 0.0000038257

epoch time: 809.4009399414s, input_fired_time: 11.0335187912, output_fired_time: 9.3170833588, propagate_forward_time: 310.7203369141, propagate_backward_time: 462.4349670410, weight_update_time: 0.8233190775, other_time: 15.8950500488
epoch time: 66.5999755859s, input_fired_time: 1.3625890017, output_fired_time: 0.0000000000, propagate_forward_time: 62.2017059326, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.0356826782
validation[          , genome 18246] predictions:    9927/  10000 (99.27%), best:    9931/10000 (99.31%), error:       246.68558, best error:       238.76999 on epoch:    93, epoch:   96/100, mu: 0.9864382744, learning_rate: 0.0000908606, weight_decay: 0.0000036344

epoch time: 808.7252197266s, input_fired_time: 11.0376167297, output_fired_time: 9.3488111496, propagate_forward_time: 310.4628295898, propagate_backward_time: 462.0010986328, weight_update_time: 0.8317778707, other_time: 15.8748779297
epoch time: 66.8703002930s, input_fired_time: 1.3824714422, output_fired_time: 0.0000000000, propagate_forward_time: 62.4975852966, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9902458191
validation[          , genome 18246] predictions:    9928/  10000 (99.28%), best:    9931/10000 (99.31%), error:       240.40556, best error:       238.76999 on epoch:    93, epoch:   97/100, mu: 0.9866163731, learning_rate: 0.0000863176, weight_decay: 0.0000034527

epoch time: 811.9405517578s, input_fired_time: 11.1045265198, output_fired_time: 9.3625841141, propagate_forward_time: 312.1507263184, propagate_backward_time: 462.1468200684, weight_update_time: 0.8282346725, other_time: 17.1758422852
epoch time: 68.1998291016s, input_fired_time: 1.3900476694, output_fired_time: 0.0000000000, propagate_forward_time: 63.5100364685, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2997474670
validation[          , genome 18246] predictions:    9929/  10000 (99.29%), best:    9931/10000 (99.31%), error:       239.23680, best error:       238.76999 on epoch:    93, epoch:   98/100, mu: 0.9867855310, learning_rate: 0.0000820017, weight_decay: 0.0000032801

epoch time: 811.5623168945s, input_fired_time: 11.0882310867, output_fired_time: 9.4040040970, propagate_forward_time: 312.3182373047, propagate_backward_time: 462.5516357422, weight_update_time: 0.8392357826, other_time: 16.2001953125
epoch time: 66.1815414429s, input_fired_time: 1.3484723568, output_fired_time: 0.0000000000, propagate_forward_time: 61.9324989319, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.9005699158
validation[          , genome 18246] predictions:    9928/  10000 (99.28%), best:    9931/10000 (99.31%), error:       242.15614, best error:       238.76999 on epoch:    93, epoch:   99/100, mu: 0.9869462252, learning_rate: 0.0000779016, weight_decay: 0.0000031161

epoch time: 810.9605102539s, input_fired_time: 11.0331888199, output_fired_time: 9.3383111954, propagate_forward_time: 311.3876342773, propagate_backward_time: 462.2583923340, weight_update_time: 0.8224923015, other_time: 16.9429626465
epoch time: 67.4203186035s, input_fired_time: 1.3675439358, output_fired_time: 0.0000000000, propagate_forward_time: 62.8074226379, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 3.2453498840
validation[          , genome 18246] predictions:    9928/  10000 (99.28%), best:    9931/10000 (99.31%), error:       240.89365, best error:       238.76999 on epoch:    93, 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: 332.3662414551s, input_fired_time: 6.8054089546, output_fired_time: 0.0000000000, propagate_forward_time: 311.4545898438, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 14.1062316895
best training[          , genome 18246] predictions:   50000/  50000 (100.00%), best:    9931/10000 (99.31%), error:        62.51143, best error:       238.76999 on epoch:    93, 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: 66.4591827393s, input_fired_time: 1.3496865034, output_fired_time: 0.0000000000, propagate_forward_time: 62.4185447693, propagate_backward_time: 0.0000000000, weight_update_time: 0.0000000000, other_time: 2.6909523010
   testing[          , genome 18246] predictions:    9928/  10000 (99.28%), best:    9931/10000 (99.31%), error:       218.96373, best error:       238.76999 on epoch:    93, epoch:  101/100, mu: 0.9872440100, learning_rate: 0.0000703062, weight_decay: 0.0000028122
backpropagation finished successfully!
18:09:37 (12508): called boinc_finish(0)

</stderr_txt>
]]>