Execution Time3.05s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: master-x86_64-fedora29-gcc8-dbg (root-fedora29-2.cern.ch) on 2019-11-14 11:43:11

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
-6.5305 -2.15606 
-6.21666 -0.0395248 
-7.42603 3.71744 
-4.66399 0.568527 
-4.91299 0.95984 
-8.2867 4.50361 
-5.33118 3.55801 
-5.05914 3.21163 
-7.40349 -2.55278 
-9.77498 -1.28619 
-4.21728 4.33559 
-5.76069 0.157716 
-6.23166 1.07508 
-8.92967 1.70866 
-6.0041 -0.781986 
-8.03323 -2.76399 
-7.98762 1.06827 
-7.26994 -1.32003 
-5.95582 3.89123 
-4.56134 1.82926 
-4.1752 4.27324 
-7.01154 5.00261 
-5.29324 -0.159688 
-7.70647 -0.784146 
-7.71951 -2.69449 
-3.91956 5.85069 
-6.21674 2.76324 
-5.22654 2.77784 
-8.03221 -1.31138 
-6.91721 -1.96181 
-3.4267 4.90162 
-4.72574 2.59619 
-8.85114 -0.129565 
-4.72224 4.01022 
-4.98488 0.594653 
-3.94283 5.76006 
-3.64021 4.45654 
-6.79246 3.26003 
-4.84844 5.0997 
-8.75975 -2.75883 
-4.5929 -1.28273 
-6.63562 -2.18104 
-6.44916 6.21473 
-4.64015 2.70503 
-4.70251 -1.29153 
-4.05299 1.59718 
-5.34187 0.423486 
-8.27338 4.82441 
-5.74877 2.64312 
-6.1608 -2.20635 
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
0.516243 0.0074418 
0.74534 0.00802439 
0.701919 0.0758387 
0.725797 0.0261406 
0.575076 0.00122511 
0.365346 0.00641342 
0.366908 0.80449 
0.415502 0.218306 
0.786217 0.0528462 
0.314093 0.00203177 
0.196678 0.0023392 
0.598237 0.00197551 
0.802735 0.00764381 
0.72988 0.000645787 
0.0476282 0.142908 
0.828989 0.101752 
0.323855 0.0275432 
0.318636 0.186204 
0.252065 0.00647771 
0.191265 0.0102862 
0.887438 0.00208765 
0.672936 0.00192728 
0.937844 0.0534641 
0.428488 0.0870355 
0.191898 0.00131602 
0.69333 0.00048376 
0.75459 0.00381734 
0.913067 0.0131614 
0.385365 0.764705 
0.888734 0.00215573 
0.937969 0.00165991 
0.724092 0.000172837 
0.956143 0.00197773 
0.343059 0.0584475 
0.511452 0.101859 
0.938144 0.00769695 
0.822111 0.146094 
0.784426 0.000372195 
0.970121 0.00434887 
0.990389 0.296241 
0.959241 0.0952867 
0.494086 0.0212014 
0.322283 0.403134 
0.923484 0.00710429 
0.88459 0.00202958 
0.732927 0.0243272 
0.0905681 0.632992 
0.980916 0.00209135 
0.845306 0.0502691 
0.811812 0.0403903 
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
0.999991 8.52118e-06 
0.740831 0.259169 
0.992138 0.00786216 
1 1.47e-07 
0.930084 0.069916 
0.999892 0.000107939 
0.783093 0.216907 
0.976103 0.0238969 
0.999031 0.000968611 
0.998344 0.00165642 
0.981568 0.018432 
0.994031 0.00596937 
0.999956 4.36828e-05 
0.943489 0.0565115 
0.999107 0.000892519 
0.963908 0.0360919 
0.387432 0.612568 
0.997467 0.00253293 
0.999966 3.38412e-05 
0.915046 0.084954 
0.993629 0.00637116 
0.711858 0.288142 
0.999998 1.88162e-06 
0.999955 4.47925e-05 
0.99405 0.00595029 
0.960159 0.0398411 
0.999086 0.000914213 
0.923663 0.0763369 
0.779129 0.220871 
0.454769 0.545231 
0.986798 0.0132016 
0.999993 6.53713e-06 
0.994814 0.00518558 
0.999501 0.000499367 
0.998872 0.0011282 
0.00205564 0.997944 
0.997504 0.00249579 
0.999896 0.000103877 
0.999274 0.000725922 
0.998703 0.00129652 
0.990548 0.0094518 
0.588214 0.411786 
0.932683 0.0673168 
0.963659 0.0363411 
0.999849 0.000150567 
0.999409 0.000591322 
1 4.59545e-07 
0.992856 0.00714404 
0.999725 0.000274666 
0.93939 0.0606104