Execution Time0.13s

Test: TMVA-DNN-RNN-FullRNN (Passed)
Build: master-x86_64-fedora28-gcc8 (sft-fedora-28-1.cern.ch) on 2019-11-14 01:14:20

Test Timing: Passed
Processors1

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Test output
Training RNN to identity firstCopying output into input
Copying output into input
loss: 0.932681
loss: 0.521395
loss: 0.305904
loss: 0.188839
loss: 0.124154
loss: 0.0880862
loss: 0.0678343
loss: 0.056367
loss: 0.0497895
loss: 0.0459374
loss: 0.0436064
loss: 0.0421259
loss: 0.0411225
loss: 0.040388
loss: 0.0398065
loss: 0.0393131
loss: 0.0388717
loss: 0.038462
loss: 0.0380726
loss: 0.0376971
loss: 0.0373317
loss: 0.0369744
loss: 0.0366239
loss: 0.0362795
loss: 0.0359407
loss: 0.0356072
loss: 0.0352787
loss: 0.0349551
loss: 0.0346362
loss: 0.034322
loss: 0.0340122
loss: 0.0337068
loss: 0.0334056
loss: 0.0331087
loss: 0.0328158
loss: 0.0325269
loss: 0.0322419
loss: 0.0319607
loss: 0.0316832
loss: 0.0314094
loss: 0.0311392
loss: 0.0308724
loss: 0.0306091
loss: 0.0303491
loss: 0.0300924
loss: 0.0298389
loss: 0.0295885
loss: 0.0293412
loss: 0.0290968
loss: 0.0288555
iter = 1 loss: 0.863818
iter = 2 loss: 0.648399
iter = 3 loss: 0.607792
iter = 4 loss: 0.583076
iter = 5 loss: 0.559447
iter = 6 loss: 0.535371
iter = 7 loss: 0.510653
iter = 8 loss: 0.487737
iter = 9 loss: 0.467233
iter = 10 loss: 0.453773
iter = 11 loss: 0.438978
iter = 12 loss: 0.431812
iter = 13 loss: 0.425368
iter = 14 loss: 0.41282
iter = 15 loss: 0.421851
iter = 16 loss: 0.379775
iter = 17 loss: 0.379557
iter = 18 loss: 0.331253
iter = 19 loss: 0.321556
iter = 20 loss: 0.295924
iter = 21 loss: 0.296678
iter = 22 loss: 0.285678
iter = 23 loss: 0.29963
iter = 24 loss: 0.236222
iter = 25 loss: 0.219282
iter = 26 loss: 0.198282
iter = 27 loss: 0.184538
iter = 28 loss: 0.175181
iter = 29 loss: 0.167727
iter = 30 loss: 0.161661
iter = 31 loss: 0.15667
iter = 32 loss: 0.152481
iter = 33 loss: 0.149995
iter = 34 loss: 0.147827
iter = 35 loss: 0.148366
iter = 36 loss: 0.146776
iter = 37 loss: 0.149572
iter = 38 loss: 0.143679
iter = 39 loss: 0.145265
iter = 40 loss: 0.133321
iter = 41 loss: 0.130678
iter = 42 loss: 0.119966
iter = 43 loss: 0.114871
iter = 44 loss: 0.10804
iter = 45 loss: 0.102421
iter = 46 loss: 0.0979448
iter = 47 loss: 0.092702
iter = 48 loss: 0.0893377
iter = 49 loss: 0.084935
iter = 50 loss: 0.0821211

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9634      0.9215     0.03598      0.9292      0.1046 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.9578      0.0691      0.9604      0.9621      0.9508 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.7703      0.9536     0.04694       0.949      0.9449 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.9613      0.3788      0.9618     0.07987     0.05601 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.8918     0.03454     0.05553     0.07383      0.9587 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.9486      0.9476     0.09203     0.07502       0.954 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |      0.946     0.03361     0.04932       0.153     0.06344 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9214     0.06332      0.1666      0.9572     0.02958 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |    0.04794      0.9273      0.9572      0.9542       0.911 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9031      0.0737     0.03404      0.9483     0.07918 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |    0.04076      0.3083      0.8914      0.9593     0.03763 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9197       0.951     0.04844       0.944     0.07557 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.1321      0.9522      0.9507      0.9606 

ROC integral is 0.453247
Test full RNN passed : Efficiencies are 0 and 1