Execution Time0.48s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: v6-18-00-patches-x86_64-ubuntu16-gcc54-opt (sft-ubuntu-1604-4) on 2019-11-15 00:49:27
Repository revision: 869553a4dd0f00a0fc618d6e9d1fbdd66c820707

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
11.5849 3.61878 
12.1434 1.78852 
11.1629 2.00425 
9.36397 3.82538 
10.4821 4.85084 
4.47451 1.03699 
6.7317 2.87271 
10.6055 7.24343 
5.74768 -2.31623 
5.96733 2.99821 
7.96538 1.86962 
11.1463 -0.79718 
10.2647 2.4473 
7.06146 0.955099 
6.0144 -3.18837 
8.05147 0.543276 
10.0087 -0.422671 
10.6304 1.01063 
9.22385 -2.05017 
5.77454 0.748656 
10.7354 4.01309 
5.92451 0.699077 
11.4282 2.40216 
10.8327 -0.748597 
9.32415 -0.461817 
4.52586 -0.107259 
5.02148 -0.806559 
8.42512 -0.360546 
6.09139 2.76371 
6.49037 -4.01147 
10.0947 3.3368 
9.69757 3.75998 
5.21445 -1.58923 
9.12904 0.898506 
5.96073 1.6012 
6.57614 0.284503 
6.75893 0.695132 
9.67696 3.08553 
9.53129 0.977467 
8.62701 2.17376 
9.85344 -0.722092 
8.63373 -5.19857 
13.0079 3.40877 
9.06113 2.64122 
11.5679 2.96934 
9.28982 0.424603 
6.2636 3.28018 
8.48819 2.65881 
7.41779 0.399592 
11.4798 4.54375 
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
0.00396071 0.000101382 
0.00840386 0.00787305 
0.00322873 0.0657162 
0.00020329 0.0260742 
0.00310016 0.000328619 
0.076441 0.000388508 
0.00249977 0.00364139 
0.0024994 0.182816 
0.0015748 0.00172765 
0.00551481 0.472423 
0.00432642 0.0704931 
0.00145403 0.160768 
0.00354278 0.00758054 
0.00622297 0.00294461 
0.068962 0.0165287 
0.00216006 0.0288467 
0.00557898 0.0101784 
0.0390571 0.482658 
0.0091017 0.0337662 
0.00146091 0.000700452 
0.00669816 0.00570238 
0.00568952 0.00953614 
0.0146959 0.0390707 
0.00243971 0.00581656 
0.000344141 0.0800959 
0.321536 0.00035698 
0.010852 0.0222258 
0.00115537 0.00721775 
0.0200528 0.00490189 
0.00139344 0.0887582 
0.00700934 0.0228348 
0.0098993 0.0273334 
0.0642266 0.000780027 
0.00218868 0.00788974 
1.79464e-05 0.324921 
0.000354224 0.715969 
0.0827648 0.754604 
0.0114425 0.00449495 
0.000272074 0.00461562 
0.00095296 0.114163 
0.000601734 0.179658 
0.000213867 0.0160821 
0.00289466 0.000877774 
0.000984414 0.00357097 
0.0168724 0.40799 
0.0294397 0.0528215 
0.000549556 0.0371532 
0.0040093 0.030145 
0.00016139 0.152645 
0.0523325 0.00675555 
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
9.79216e-06 0.99999 
0.00119239 0.998808 
0.000187586 0.999812 
1.54308e-05 0.999985 
0.00711433 0.992886 
0.000682317 0.999318 
0.0048206 0.995179 
0.000342037 0.999658 
0.00188022 0.99812 
0.00042042 0.99958 
0.000137712 0.999862 
6.15828e-05 0.999938 
0.0239467 0.976053 
0.00217544 0.997825 
0.0747383 0.925262 
0.000271816 0.999728 
0.0321835 0.967817 
0.00108573 0.998914 
3.33887e-05 0.999967 
6.06931e-06 0.999994 
0.0394954 0.960505 
0.00329491 0.996705 
0.0216112 0.978389 
0.00364592 0.996354 
0.0376541 0.962346 
0.0155226 0.984477 
0.0541709 0.945829 
0.00761399 0.992386 
0.00198826 0.998012 
0.97619 0.0238098 
0.000201222 0.999799 
0.0187277 0.981272 
0.00156999 0.99843 
0.00541644 0.994584 
1.34825e-05 0.999987 
0.0752481 0.924752 
0.000552356 0.999448 
0.00046188 0.999538 
0.000210416 0.99979 
0.000405144 0.999595 
0.0519 0.9481 
0.00308367 0.996916 
0.00112599 0.998874 
0.0992978 0.900702 
0.00946916 0.990531 
6.00278e-05 0.99994 
0.00436499 0.995635 
0.333199 0.666801 
0.00898547 0.991015 
1.21923e-05 0.999988