Execution Time0.24s

Test: TMVA-DNN-RNN-FullRNN (Passed)
Build: master-x86_64-centos7-clang100-opt-no-rt-cxxmodules (olsnba08.cern.ch) on 2019-11-14 01:39:53
Repository revision: 32b17abcda23e44b64218a42d0ca69cb30cda7e0

Test Timing: Passed
Processors1

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Test output
Training RNN to identity firstloss: 0.98153
loss: 0.520301
loss: 0.282472
loss: 0.158914
loss: 0.0944137
loss: 0.0606306
loss: 0.042889
loss: 0.0335473
loss: 0.0286124
loss: 0.0259924
loss: 0.0245896
loss: 0.0238272
loss: 0.0234021
loss: 0.0231545
loss: 0.0230005
loss: 0.0228958
loss: 0.0228171
loss: 0.022752
loss: 0.0226942
loss: 0.0226402
loss: 0.0225881
loss: 0.0225371
loss: 0.0224866
loss: 0.0224364
loss: 0.0223863
loss: 0.0223363
loss: 0.0222863
loss: 0.0222362
loss: 0.0221862
loss: 0.022136
loss: 0.0220859
loss: 0.0220357
loss: 0.0219854
loss: 0.0219351
loss: 0.0218847
loss: 0.0218343
loss: 0.0217838
loss: 0.0217332
loss: 0.0216826
loss: 0.0216319
loss: 0.0215811
loss: 0.0215303
loss: 0.0214793
loss: 0.0214283
loss: 0.0213772
loss: 0.021326
loss: 0.0212747
loss: 0.0212234
loss: 0.0211719
loss: 0.0211203
Copying output into input
Copying output into input
iter = 1 loss: 0.751694
iter = 2 loss: 0.730988
iter = 3 loss: 0.717341
iter = 4 loss: 0.708821
iter = 5 loss: 0.703447
iter = 6 loss: 0.699719
iter = 7 loss: 0.696816
iter = 8 loss: 0.694348
iter = 9 loss: 0.692122
iter = 10 loss: 0.690022
iter = 11 loss: 0.687967
iter = 12 loss: 0.68588
iter = 13 loss: 0.683686
iter = 14 loss: 0.681301
iter = 15 loss: 0.678633
iter = 16 loss: 0.67559
iter = 17 loss: 0.672089
iter = 18 loss: 0.668064
iter = 19 loss: 0.663475
iter = 20 loss: 0.658302
iter = 21 loss: 0.652571
iter = 22 loss: 0.646388
iter = 23 loss: 0.639903
iter = 24 loss: 0.633191
iter = 25 loss: 0.626162
iter = 26 loss: 0.618602
iter = 27 loss: 0.610252
iter = 28 loss: 0.600899
iter = 29 loss: 0.590495
iter = 30 loss: 0.579272
iter = 31 loss: 0.567764
iter = 32 loss: 0.556651
iter = 33 loss: 0.546194
iter = 34 loss: 0.536036
iter = 35 loss: 0.5259
iter = 36 loss: 0.515722
iter = 37 loss: 0.505499
iter = 38 loss: 0.49524
iter = 39 loss: 0.484955
iter = 40 loss: 0.474657
iter = 41 loss: 0.46436
iter = 42 loss: 0.454078
iter = 43 loss: 0.443827
iter = 44 loss: 0.433621
iter = 45 loss: 0.423477
iter = 46 loss: 0.41341
iter = 47 loss: 0.403434
iter = 48 loss: 0.393564
iter = 49 loss: 0.383813
iter = 50 loss: 0.374195

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.7895      0.7697      0.3085      0.7659      0.3096 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.7226      0.3285      0.7137      0.6595      0.6649 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.7208      0.7236      0.3223      0.7343      0.7633 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.7565      0.3115      0.4159      0.3133      0.3095 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.7311      0.3021      0.3838       0.318      0.7889 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.7868      0.7212       0.314      0.3149      0.7607 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |     0.7679      0.3095      0.3105      0.3166      0.3329 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.5256      0.3179      0.3136       0.789      0.2886 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |     0.3087      0.7219      0.5714      0.7894      0.7489 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |      0.786      0.3692      0.3099      0.7202      0.2774 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |     0.3092      0.4916      0.6786      0.7779      0.3423 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.7823      0.7607       0.311       0.777        0.35 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.4843      0.7728      0.5857      0.7594 

ROC integral is 0.453247
Test full RNN passed : Efficiencies are 0.0689655 and 0.971429