Execution Time2.08s

Test: TMVA-DNN-CNN-Pred-CPU (Passed)
Build: PR-4857-x86_64-centos7-gcc48-opt (olhswep22.cern.ch) on 2020-01-24 14:35:31

Test Timing: Passed
Processors1

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Test output
Testing CNN Prediction:
Test1, identity output function
added Conv layer 10 x 32 x 32
added Conv layer 10 x 32 x 32
added MaxPool layer 10 x 31 x 31
-0.641637 -0.248445 
-0.689571 -0.237527 
-0.619588 -0.248799 
-0.644579 -0.202868 
-0.714778 -0.241039 
-0.578732 -0.239047 
-0.653697 -0.229169 
-0.692135 -0.322553 
-0.603041 -0.385886 
-0.660005 -0.245603 
-0.610731 -0.274201 
-0.607117 -0.395646 
-0.601343 -0.327933 
-0.630378 -0.273275 
-0.614261 -0.300043 
-0.594776 -0.347978 
-0.625986 -0.303155 
-0.641204 -0.307103 
-0.621762 -0.232186 
-0.623827 -0.0890352 
-0.649916 -0.337968 
-0.63671 -0.299357 
-0.638738 -0.255131 
-0.616282 -0.238182 
-0.628561 -0.243267 
-0.585798 -0.289749 
-0.725574 -0.196157 
-0.67833 -0.273333 
-0.637154 -0.197628 
-0.722307 -0.197306 
-0.54942 -0.220299 
-0.676844 -0.279548 
-0.711411 -0.112584 
-0.590862 -0.20499 
-0.693308 -0.153575 
-0.610278 -0.212289 
-0.602447 -0.258228 
-0.652048 -0.284194 
-0.754299 -0.213402 
-0.613683 -0.260668 
-0.70243 -0.230306 
-0.672528 -0.256272 
-0.643836 -0.265173 
-0.583119 -0.24588 
-0.685856 -0.234399 
-0.645923 -0.204308 
-0.758185 -0.196428 
-0.632018 -0.217209 
-0.615527 -0.170683 
-0.659185 -0.286413 
Test2, sigmoid output function
added Conv layer 10 x 32 x 32
added Conv layer 10 x 32 x 32
added MaxPool layer 10 x 31 x 31
0.319411 0.178702 
0.321067 0.200763 
0.317478 0.211125 
0.333595 0.200632 
0.338119 0.203698 
0.33883 0.199155 
0.335773 0.208591 
0.330599 0.203512 
0.341973 0.209833 
0.376696 0.168705 
0.323453 0.200976 
0.338806 0.193138 
0.362477 0.180483 
0.331734 0.194261 
0.324177 0.214042 
0.350624 0.195638 
0.34491 0.18252 
0.335759 0.21691 
0.326335 0.233787 
0.333995 0.191887 
0.348647 0.178464 
0.309009 0.176333 
0.317121 0.20214 
0.328921 0.203271 
0.328614 0.184492 
0.345846 0.221597 
0.340075 0.173928 
0.320735 0.191278 
0.368207 0.208512 
0.345071 0.20688 
0.321689 0.193011 
0.328908 0.220247 
0.340224 0.192985 
0.327964 0.204553 
0.332426 0.197726 
0.310272 0.200069 
0.31187 0.190587 
0.347179 0.184795 
0.342809 0.178715 
0.312634 0.203254 
0.352112 0.18888 
0.308502 0.214092 
0.310338 0.186168 
0.323359 0.188233 
0.32066 0.200694 
0.333468 0.207075 
0.34566 0.182825 
0.319501 0.180854 
0.34229 0.203135 
0.335951 0.198312 
Test3, softmax output function
added Conv layer 10 x 32 x 32
added Conv layer 10 x 32 x 32
added MaxPool layer 10 x 31 x 31
0.217036 0.782964 
0.21725 0.78275 
0.231962 0.768038 
0.22717 0.77283 
0.226009 0.773991 
0.225382 0.774618 
0.218469 0.781531 
0.228674 0.771326 
0.2193 0.7807 
0.226939 0.773061 
0.235382 0.764618 
0.217995 0.782005 
0.229088 0.770912 
0.23055 0.76945 
0.238273 0.761727 
0.228563 0.771437 
0.226664 0.773336 
0.224207 0.775793 
0.216113 0.783887 
0.231931 0.768069 
0.226562 0.773438 
0.213794 0.786206 
0.210493 0.789507 
0.197907 0.802093 
0.206654 0.793346 
0.196899 0.803101 
0.225556 0.774444 
0.22851 0.77149 
0.225628 0.774372 
0.225494 0.774506 
0.254424 0.745576 
0.24398 0.75602 
0.213056 0.786944 
0.227319 0.772681 
0.220388 0.779612 
0.247512 0.752488 
0.230222 0.769778 
0.240541 0.759459 
0.21638 0.78362 
0.227812 0.772188 
0.217885 0.782115 
0.260686 0.739314 
0.233502 0.766498 
0.226534 0.773466 
0.209118 0.790882 
0.223298 0.776702 
0.217623 0.782377 
0.227658 0.772342 
0.231233 0.768767 
0.218402 0.781598