Comments (4)
We are working on this issue, sorry about the delay
from cryptonets.
Me too!
Generating encryption keys 2019-08-07 오전 8:41:46
Encryption keys ready 2019-08-07 오전 8:41:50
Preparing
Prepare LLDenseLayer computed in 0.025961 seconds (08:42:27.449 -- 08:42:27.475)
Current Label : 3
Layer LLDenseLayer computed in 2.002351 seconds (08:55:49.482 -- 08:55:51.484) layer width (4075,1)
-14.9947
-13.1457
12.7913
8.6813
12.8255
-3.2621
0.7135
4.8243
-14.3768
-7.1885
Prediction : 4
Elapsed For single input processing=00:13:24.1783536
Current Label : 8
Layer LLDenseLayer computed in 1.9348759 seconds (09:09:13.487 -- 09:09:15.422) layer width (4075,1)
-8.2010
-3.6772
0.1281
10.1785
-10.3159
-13.5987
-7.4372
-14.5098
-15.4177
-5.1588
Prediction : 3
Elapsed For single input processing=00:26:48.0918934
Current Label : 8
Layer LLDenseLayer computed in 1.9563049 seconds (09:22:40.264 -- 09:22:42.221) layer width (4075,1)
4.5273
11.4319
-8.0989
11.5048
-12.1562
14.9259
15.8742
-4.1455
9.8287
10.6513
Prediction : 6
Elapsed For single input processing=00:40:14.8978885
Current Label : 0
Layer LLDenseLayer computed in 1.9577387 seconds (09:35:21.083 -- 09:35:23.040) layer width (4075,1)
14.2459
-11.5474
8.2095
-13.5229
-7.3236
4.1504
-14.8993
-12.6799
-9.5187
-11.7253
Prediction : 0
Elapsed For single input processing=01:21:37.9993481
Current Label : 6
Layer LLDenseLayer computed in 1.9603099 seconds (10:17:17.184 -- 10:17:19.145) layer width (4075,1)
-2.7235
-7.0029
13.5247
-13.9630
15.9141
6.9853
-13.9143
-7.6527
-0.7338
10.5105
Prediction : 4
Elapsed For single input processing=02:42:04.3713496
Current Label : 6
Layer LLDenseLayer computed in 1.9926721 seconds (11:37:44.916 -- 11:37:46.908) layer width (4075,1)
4.4299
-5.5504
-8.3946
2.4063
6.1031
-10.7999
-9.1229
3.5830
-5.5245
-5.6314
Prediction : 4
Elapsed For single input processing=02:55:19.6033491
Current Label : 1
Layer LLDenseLayer computed in 1.9508309 seconds (11:51:04.017 -- 11:51:05.968) layer width (4075,1)
-14.3356
4.2231
15.7832
5.4311
3.8572
5.8699
-13.2955
-11.3057
8.0676
-2.4369
Prediction : 2
Elapsed For single input processing=03:08:38.6519574
Current Label : 6
Layer LLDenseLayer computed in 2.0191416 seconds (12:04:18.878 -- 12:04:20.897) layer width (4075,1)
11.9822
5.2481
-12.5903
5.4623
2.8625
8.3463
-3.1007
0.5379
-11.2521
-8.9174
Prediction : 0
Elapsed For single input processing=03:21:53.6001682
Current Label : 3
Layer LLDenseLayer computed in 2.013621 seconds (12:17:35.786 -- 12:17:37.799) layer width (4075,1)
13.6397
-14.8832
-9.6858
5.0069
-7.6892
2.1170
4.9055
9.6919
-4.4410
2.3507
Prediction : 0
Elapsed For single input processing=03:35:10.5065900
Current Label : 1
Layer LLDenseLayer computed in 2.0356489 seconds (12:30:54.785 -- 12:30:56.821) layer width (4075,1)
0.9694
-13.4114
-3.8784
-8.0430
3.8281
-2.8454
13.5963
2.3001
0.8784
-1.7873
Prediction : 6
Elapsed For single input processing=03:48:29.5062656
By the way, It REALLY takes long for cifar10..
from cryptonets.
We are working on resolving this issue. Sorry it is taking so long.
from cryptonets.
I just pushed a fix to this issue. The main problem was DataPreprocessing but during the fix we generated a new model for CIFAR that has higher accuracy (76.31%) and runs in 750 seconds. Please check the readme.md for small changes in the command line arguments.
We also started documenting the process of converting a model trained with Keras to work with this package.
from cryptonets.
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from cryptonets.