Execution Time0.47s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: v6-18-00-patches-x86_64-ubuntu16-gcc54-opt (sft-ubuntu-1604-4) on 2019-11-13 00:49:12
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
8.48075 0.816373 
7.57735 -2.1718 
10.3411 -1.01622 
9.10821 -1.42166 
10.2925 -1.42109 
10.6842 -2.62012 
9.80743 -0.475249 
14.8652 -3.34056 
11.8929 -4.85633 
6.43181 0.271818 
13.1899 -3.0336 
6.61103 -2.36367 
8.03999 -0.0749617 
10.1787 -0.598482 
9.83674 -2.14331 
3.92209 -1.26695 
13.2303 -2.04088 
5.97652 -0.163705 
16.7797 -3.88793 
8.70206 -2.97064 
8.13827 -5.0297 
15.6882 -4.69323 
0.124747 1.18474 
7.70395 -4.65265 
14.776 -3.98408 
10.5925 -2.52405 
2.91231 1.78745 
14.1696 -1.71769 
7.44503 0.93897 
9.26367 -1.4815 
4.73881 -0.0712124 
10.1242 -1.9827 
15.2556 -3.82461 
8.05108 1.19979 
7.34383 -4.0354 
14.0133 -2.55053 
4.57171 0.435219 
9.84164 0.0895352 
10.6952 -1.54796 
2.97434 3.32227 
5.40723 -0.44266 
7.49879 -2.45704 
6.8471 -0.424141 
3.75622 0.461128 
13.2414 -0.96907 
13.2146 -1.34357 
16.5404 -2.57489 
10.3151 -1.6237 
14.6126 -2.48673 
13.1535 -2.38794 
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
0.99332 0.999829 
0.994804 0.999951 
0.958802 0.999894 
0.989328 0.999758 
0.938267 0.999953 
0.99229 0.99982 
0.996261 0.999994 
0.987399 0.999867 
0.801511 0.999994 
0.993462 0.999984 
0.990127 0.999994 
0.979191 0.999897 
0.970501 0.999985 
0.978869 0.999968 
0.915693 0.999976 
0.871945 0.999947 
0.99775 0.999841 
0.991698 0.999714 
0.915974 0.999593 
0.988007 0.999943 
0.996749 0.999963 
0.977236 0.999955 
0.978391 0.999951 
0.885608 0.999499 
0.976231 0.999945 
0.993234 0.999926 
0.959822 0.999849 
0.904632 0.999986 
0.972418 0.999965 
0.985078 0.999987 
0.987002 0.999973 
0.908689 0.998652 
0.982923 0.999984 
0.99713 0.999986 
0.99081 0.999862 
0.984025 0.999906 
0.971186 0.999784 
0.985277 0.996512 
0.950898 0.999949 
0.973906 0.999491 
0.979864 0.999921 
0.923492 0.999725 
0.950941 0.998701 
0.995858 0.999998 
0.893408 0.999762 
0.992703 0.999999 
0.205033 0.999962 
0.969324 0.999903 
0.954124 0.999841 
0.937456 0.999997 
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
0.9994 0.000599709 
0.993031 0.00696858 
0.998901 0.00109928 
0.992698 0.00730219 
0.233385 0.766615 
0.907184 0.0928163 
0.373931 0.626069 
0.981455 0.0185449 
0.672159 0.327841 
0.985193 0.0148074 
0.981909 0.0180914 
0.999987 1.295e-05 
0.876936 0.123064 
0.999019 0.000981159 
0.99954 0.000459701 
0.999927 7.34641e-05 
0.981098 0.0189024 
0.967937 0.0320632 
0.683404 0.316596 
0.999438 0.000562306 
0.999785 0.00021501 
0.904457 0.0955427 
0.895624 0.104376 
0.958001 0.0419995 
0.974146 0.0258537 
0.999963 3.71904e-05 
0.906738 0.093262 
0.999993 7.19607e-06 
0.716951 0.283049 
0.982989 0.0170115 
0.999491 0.000509234 
0.997708 0.00229233 
0.988541 0.0114592 
0.985906 0.0140938 
0.999643 0.000356632 
0.99947 0.000529672 
0.999752 0.00024846 
0.963537 0.0364632 
0.997996 0.00200434 
0.997033 0.00296749 
0.915371 0.0846293 
0.999898 0.00010191 
0.999458 0.000542369 
0.944335 0.0556645 
0.998975 0.00102517 
0.973405 0.0265948 
0.995378 0.00462204 
0.993204 0.00679649 
0.999908 9.21482e-05 
0.988938 0.0110615