Execution Time0.52s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: v6-18-00-patches-x86_64-ubuntu16-gcc54-opt (sft-ubuntu-1604-4) on 2019-11-14 00:46:47
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
0.231565 -0.661464 
0.311931 -3.81455 
-5.90079 -3.43737 
-1.40263 -5.47181 
-1.90122 -4.88562 
-0.239649 -1.25257 
-0.361677 -4.122 
-0.0489542 -3.45127 
-0.730791 -3.2826 
-2.51749 -0.493927 
-3.47265 -5.50084 
-0.659625 -4.13017 
-0.662625 -1.973 
-1.64215 -1.65384 
-0.211534 -5.9905 
1.03689 -3.39663 
-1.69579 -6.89837 
-2.47993 -0.325369 
2.57103 -2.35381 
-0.637521 -2.34552 
-0.974974 -5.7849 
-0.991259 0.732259 
-4.41904 0.332619 
-3.28342 -4.35956 
-3.20642 -4.49979 
0.514348 -5.43469 
-3.31379 -3.77121 
-2.00278 -2.24781 
1.85312 -5.30397 
3.82089 -3.29143 
3.45246 -4.63911 
-3.81979 -2.54212 
2.09772 -6.20042 
-1.07037 -3.43418 
-4.15053 -3.10691 
1.09465 -2.23585 
-0.377927 -2.17012 
-3.79037 -4.38171 
-0.62173 -3.8303 
1.91808 -4.62518 
1.73361 0.335033 
-2.27851 -6.34382 
3.77269 4.31379 
-2.55303 5.07652 
-0.355703 -3.14374 
-1.2331 -2.66527 
-0.433609 -1.87889 
-2.07529 -7.45914 
1.66405 2.31479 
-1.98917 -3.58752 
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
0.859766 0.945108 
0.853692 0.343657 
0.998661 0.859149 
0.0508892 0.130701 
0.581764 0.973163 
0.991719 0.75868 
0.94488 0.764218 
0.901351 0.140133 
0.0140347 0.794305 
0.732459 0.878989 
0.422125 0.457393 
0.955749 0.60164 
0.988984 0.904265 
0.328929 0.124821 
0.651482 0.538555 
0.926002 0.981158 
0.913107 0.931921 
0.15929 0.406212 
0.56747 0.984454 
0.63469 0.77265 
0.909705 0.686355 
0.996894 0.770716 
0.525196 0.883435 
0.989094 0.682892 
0.862798 0.787261 
0.372595 0.144093 
0.895813 0.0722737 
0.798953 0.962691 
0.014509 0.241282 
0.816758 0.452228 
0.922375 0.442921 
0.995932 0.992895 
0.862859 0.027503 
0.42749 0.780444 
0.749747 0.0225608 
0.750011 0.949712 
0.941187 0.149793 
0.974015 0.856085 
0.178803 0.865811 
0.11227 0.0632831 
0.992189 0.974294 
0.761068 0.905606 
0.241277 0.420766 
0.880033 0.379079 
0.738508 0.92543 
0.898519 0.927026 
0.388656 0.180393 
0.864112 0.629218 
0.556564 0.199817 
0.850745 0.292414 
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
0.999886 0.000113939 
0.998964 0.00103581 
0.890961 0.109039 
0.997835 0.00216451 
0.937263 0.0627371 
0.986296 0.0137036 
0.999922 7.83839e-05 
0.998349 0.00165135 
0.999707 0.000293367 
0.931846 0.0681544 
0.999011 0.000988572 
0.999992 7.52671e-06 
0.998619 0.00138054 
0.999999 5.12591e-07 
0.813286 0.186714 
0.999929 7.09583e-05 
0.993436 0.00656416 
0.99895 0.00105007 
0.999957 4.30028e-05 
0.974245 0.025755 
0.999221 0.000779365 
0.999952 4.77258e-05 
0.999877 0.000122643 
0.999565 0.000434671 
0.99265 0.00734969 
0.999961 3.89569e-05 
0.999887 0.000112728 
0.999832 0.000168347 
0.998377 0.00162331 
0.97767 0.0223298 
0.984227 0.0157725 
0.999428 0.000572462 
0.51734 0.48266 
0.937838 0.0621623 
0.999017 0.000982991 
0.999835 0.000165158 
0.99878 0.00121971 
0.99996 3.98312e-05 
0.991808 0.00819223 
0.842193 0.157807 
0.999114 0.000886038 
0.959117 0.0408833 
0.968385 0.0316153 
0.999999 8.55633e-07 
0.999993 7.27005e-06 
0.928921 0.0710789 
0.998491 0.00150915 
0.94223 0.0577696 
0.993072 0.00692842 
0.996808 0.00319153