Execution Time0.73s

Test: TMVA-DNN-RNN-FullRNN (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
Training RNN to identity firstCopying output into input
Copying output into input
loss: 1.45701
loss: 0.632372
loss: 0.281701
loss: 0.143252
loss: 0.0916449
loss: 0.0719575
loss: 0.0634814
loss: 0.0591293
loss: 0.0564853
loss: 0.0546532
loss: 0.0532529
loss: 0.0521006
loss: 0.0510992
loss: 0.0501945
loss: 0.0493554
loss: 0.0485636
loss: 0.047808
loss: 0.047082
loss: 0.0463812
loss: 0.045703
loss: 0.0450453
loss: 0.0444068
loss: 0.0437862
loss: 0.0431828
loss: 0.0425957
loss: 0.0420242
loss: 0.0414677
loss: 0.0409256
loss: 0.0403974
loss: 0.0398825
loss: 0.0393805
loss: 0.0388908
loss: 0.038413
loss: 0.0379467
loss: 0.0374915
loss: 0.037047
loss: 0.0366128
loss: 0.0361886
loss: 0.035774
loss: 0.0353686
loss: 0.0349722
loss: 0.0345845
loss: 0.0342051
loss: 0.0338338
loss: 0.0334703
loss: 0.0331144
loss: 0.0327658
loss: 0.0324243
loss: 0.0320897
loss: 0.0317616
iter = 1 loss: 0.896426
iter = 2 loss: 0.771151
iter = 3 loss: 0.70352
iter = 4 loss: 0.669802
iter = 5 loss: 0.652501
iter = 6 loss: 0.6407
iter = 7 loss: 0.629609
iter = 8 loss: 0.618069
iter = 9 loss: 0.60601
iter = 10 loss: 0.593586
iter = 11 loss: 0.580968
iter = 12 loss: 0.568304
iter = 13 loss: 0.555718
iter = 14 loss: 0.543295
iter = 15 loss: 0.531067
iter = 16 loss: 0.519023
iter = 17 loss: 0.507141
iter = 18 loss: 0.495404
iter = 19 loss: 0.483807
iter = 20 loss: 0.472352
iter = 21 loss: 0.461044
iter = 22 loss: 0.449889
iter = 23 loss: 0.438895
iter = 24 loss: 0.42807
iter = 25 loss: 0.417422
iter = 26 loss: 0.406962
iter = 27 loss: 0.396698
iter = 28 loss: 0.386642
iter = 29 loss: 0.376804
iter = 30 loss: 0.367192
iter = 31 loss: 0.357815
iter = 32 loss: 0.348679
iter = 33 loss: 0.339789
iter = 34 loss: 0.331148
iter = 35 loss: 0.322759
iter = 36 loss: 0.314625
iter = 37 loss: 0.306749
iter = 38 loss: 0.299131
iter = 39 loss: 0.291772
iter = 40 loss: 0.284672
iter = 41 loss: 0.277827
iter = 42 loss: 0.271234
iter = 43 loss: 0.264888
iter = 44 loss: 0.258783
iter = 45 loss: 0.252914
iter = 46 loss: 0.247274
iter = 47 loss: 0.241855
iter = 48 loss: 0.23665
iter = 49 loss: 0.23165
iter = 50 loss: 0.226849

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.8636      0.3011      0.1894      0.8655      0.1893 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.8654      0.1897      0.8801      0.8928      0.8654 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.2118      0.7815      0.1893      0.8557      0.8655 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.8702      0.2134      0.8677      0.2039      0.1944 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.8654      0.1893      0.1893      0.1893      0.8654 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |      0.847      0.8656      0.1894      0.1897      0.8654 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |     0.8654      0.1893      0.1894      0.1893      0.1893 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8614      0.1893      0.1901      0.8856      0.1893 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |     0.1894      0.8656      0.8655       0.871      0.8648 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8654      0.1894      0.1894      0.8295      0.1893 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |     0.1893      0.1978      0.8651       0.865      0.1894 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.8654      0.8663      0.1893      0.8655      0.1893 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.4767      0.8609      0.8608      0.8654 

ROC integral is 0.453247
Test full RNN passed : Efficiencies are 0 and 0.942857