Execution Time1.30s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: master-x86_64-mac1013-clang100 (macphsft16.dyndns.cern.ch) on 2019-11-14 00:49:58

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
4.15789 7.75505 
5.72381 9.68021 
0.289533 6.9533 
6.26505 7.23513 
9.12246 8.30391 
7.62244 8.89263 
5.67888 7.30565 
10.1542 5.92005 
7.82224 5.86011 
6.09897 10.5326 
8.76995 7.94058 
4.92577 9.71053 
2.96759 6.73333 
5.60847 6.84242 
4.68917 7.24636 
3.76593 10.2111 
7.59717 4.84147 
6.44351 6.51817 
7.7821 7.00541 
1.07387 11.5853 
8.30974 7.03196 
8.33044 10.6798 
6.7772 8.29495 
4.71393 3.22066 
4.65264 7.24199 
6.21943 9.31998 
9.66187 9.27259 
5.4205 5.13118 
9.17752 6.40778 
7.86786 6.19309 
5.32102 8.07229 
2.91715 9.12298 
6.70857 10.1928 
3.97476 7.86588 
3.49905 6.6044 
7.45732 6.9213 
8.43118 8.45997 
3.66126 9.76717 
8.03138 9.75278 
7.90333 7.58976 
5.52853 9.35409 
2.50895 3.49625 
9.11628 4.47991 
5.81473 9.41721 
5.91997 4.65971 
7.8417 7.30419 
6.20868 6.93887 
7.58529 10.6117 
5.75804 6.57146 
6.15028 9.0844 
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
0.0802268 0.993525 
0.0326255 0.861353 
0.0246823 0.983378 
0.704192 0.507033 
0.111698 0.217025 
0.847708 0.99491 
0.063566 0.597419 
0.0181302 0.897255 
0.0604655 0.96034 
0.00402349 0.057375 
0.003513 0.865234 
0.0432721 0.0708101 
0.0259299 0.712125 
0.131547 0.0262097 
4.65399e-05 0.991947 
0.281093 0.810526 
0.0064421 0.252023 
0.0424776 0.791285 
0.00504412 0.343692 
0.0214654 0.959456 
0.0120174 0.840451 
0.0013576 0.347932 
0.240028 0.919932 
0.140557 0.7033 
0.00922322 0.13789 
0.0782006 0.00740554 
0.00468455 0.991445 
0.0239841 0.00675308 
0.0122637 0.0463255 
0.00270124 0.058528 
0.0668838 0.708623 
0.100945 0.247746 
0.0141211 0.510595 
0.388139 0.439539 
0.13932 0.36424 
0.631379 0.98655 
0.0181721 0.983583 
0.162931 0.568822 
0.0166245 0.906919 
0.328914 0.947658 
0.00284011 0.984348 
0.123029 0.409454 
0.0493934 0.985553 
0.138734 0.999018 
0.601085 0.494672 
0.321939 0.982976 
0.0014564 0.985209 
0.525277 0.0637992 
0.150938 0.988483 
0.0946955 0.252511 
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
0.0904338 0.909566 
0.902627 0.0973735 
0.337417 0.662583 
0.10149 0.89851 
0.0253076 0.974692 
0.25434 0.74566 
0.32792 0.67208 
0.396887 0.603113 
0.0720471 0.927953 
0.0645043 0.935496 
0.0019432 0.998057 
0.993019 0.00698063 
0.754662 0.245338 
0.182239 0.817761 
0.634346 0.365654 
0.00122286 0.998777 
0.0863511 0.913649 
0.00770509 0.992295 
0.999722 0.000277913 
2.45985e-06 0.999998 
0.959 0.0410002 
0.172416 0.827584 
0.844786 0.155214 
0.0602407 0.939759 
0.999319 0.00068135 
0.73166 0.26834 
0.668571 0.331429 
0.0999425 0.900058 
0.75422 0.24578 
0.0212015 0.978798 
0.00600027 0.994 
0.288522 0.711478 
0.0591135 0.940886 
0.428941 0.571059 
0.0819984 0.918002 
0.0846886 0.915311 
0.89547 0.10453 
0.999738 0.000262278 
0.998195 0.00180512 
0.997342 0.00265796 
0.215069 0.784931 
0.927679 0.0723209 
0.105276 0.894724 
0.905502 0.0944979 
0.971271 0.0287293 
0.0310211 0.968979 
0.000134791 0.999865 
0.00206309 0.997937 
0.0078033 0.992197 
0.0427977 0.957202