Execution Time1.27s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: PR-4279-x86_64-fedora29-gcc8-opt (root-fedora29-3.cern.ch) on 2019-11-14 21:03:34

Test Timing: Passed
Processors1

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Test output
Testing CNN Prediction:
Test1, identity output function
added Conv layer 12 x 31 x 31
added Conv layer 6 x 29 x 29
added MaxPool layer 6 x 27 x 27
2.38655 2.59272 
-0.43272 2.79774 
0.72522 5.04189 
-3.1607 6.02638 
-4.23646 7.04725 
2.87647 0.021953 
0.477003 3.43293 
-0.906925 2.569 
0.081056 2.57719 
1.49507 2.81235 
3.12311 -1.36759 
1.7525 2.02995 
4.11456 0.764352 
0.163209 4.3355 
-0.0624941 6.43994 
0.466761 4.93032 
-1.55586 3.2332 
5.25606 -0.381022 
0.384192 7.24284 
-1.98001 4.62773 
-1.43494 1.02419 
3.48323 5.16882 
5.13107 1.04861 
0.531745 3.11338 
1.44361 4.33703 
0.310689 0.731248 
1.35307 0.104522 
-1.83682 2.82111 
0.434436 1.6421 
-0.120017 3.68329 
3.51016 -0.221486 
2.02026 4.15197 
-0.629564 3.10243 
1.54946 6.22152 
-0.767759 4.83712 
2.18184 -1.63351 
-0.307547 9.64436 
-1.70377 5.935 
1.08044 -0.265939 
2.65468 4.23479 
-2.48978 1.72832 
0.482995 0.984849 
-3.02137 8.41961 
-0.912191 7.91642 
1.11319 1.57144 
0.47261 4.117 
0.983045 5.11336 
0.82183 3.55322 
0.929164 0.0104846 
0.274898 6.15264 
Test2, sigmoid output function
added Conv layer 12 x 31 x 31
added Conv layer 6 x 29 x 29
added MaxPool layer 6 x 27 x 27
0.00294713 0.952993 
0.00544027 0.797174 
0.00995892 0.0912582 
0.362221 0.973935 
0.000219601 0.942468 
3.47954e-05 0.0477458 
7.53333e-05 0.791339 
0.0876196 0.934966 
0.000111079 0.979956 
0.000157783 0.276901 
6.38538e-05 0.98333 
0.000291279 0.984164 
0.0752287 0.119354 
0.00161496 0.0477529 
0.147379 0.869959 
0.000235749 0.953065 
0.0133136 0.76464 
0.000306899 0.968423 
0.00115963 0.999293 
0.00951667 0.555599 
0.0251415 0.996134 
6.34172e-06 0.737558 
0.142889 0.801254 
0.0323209 0.391833 
0.000149943 0.471527 
0.00217593 0.921024 
0.00954162 0.42744 
0.0950572 0.551764 
0.000147519 0.999283 
0.000268949 0.133515 
8.91669e-05 0.443716 
0.00184503 0.944697 
0.00483202 0.988216 
0.645606 0.839277 
0.000818001 0.889146 
0.00039414 0.552962 
0.00187224 0.980802 
0.0145696 0.596932 
0.00246212 0.283859 
0.000753114 0.50245 
1.6159e-06 0.98908 
1.58604e-06 0.924046 
0.864949 0.0590771 
0.227858 0.875606 
0.00289256 0.716792 
0.000258582 0.326916 
0.570227 0.398626 
8.07274e-05 0.969523 
0.0205236 0.229952 
1.79746e-05 0.306777 
Test3, softmax output function
added Conv layer 12 x 31 x 31
added Conv layer 6 x 29 x 29
added MaxPool layer 6 x 27 x 27
9.7452e-05 0.999903 
0.000601416 0.999399 
0.0493481 0.950652 
5.18494e-05 0.999948 
4.01066e-05 0.99996 
0.000201719 0.999798 
0.491093 0.508907 
0.0037453 0.996255 
0.0189088 0.981091 
0.8837 0.1163 
0.00202443 0.997976 
0.00152232 0.998478 
1.71001e-05 0.999983 
0.791789 0.208211 
0.000511167 0.999489 
0.00281592 0.997184 
2.52778e-05 0.999975 
0.0104273 0.989573 
0.000192098 0.999808 
0.00069856 0.999301 
0.22052 0.77948 
5.47752e-06 0.999995 
0.937769 0.0622307 
4.5968e-07 1 
8.78327e-05 0.999912 
7.36769e-07 0.999999 
0.000324246 0.999676 
0.000531263 0.999469 
0.0201224 0.979878 
6.7702e-05 0.999932 
0.0770395 0.92296 
0.0521308 0.947869 
0.00137346 0.998627 
0.0869335 0.913066 
1.86115e-05 0.999981 
0.00396801 0.996032 
1.75868e-06 0.999998 
0.0015365 0.998463 
0.000228317 0.999772 
0.035059 0.964941 
0.237338 0.762662 
0.00021209 0.999788 
1.01862e-05 0.99999 
4.22585e-05 0.999958 
7.97142e-05 0.99992 
0.00310448 0.996896 
9.59148e-06 0.99999 
0.000296634 0.999703 
0.00973181 0.990268 
0.405148 0.594852