Execution Time0.09s

Test: TMVA-DNN-RNN-FullRNN-Cpu (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: 1.93052
loss: 0.375604
loss: 0.131795
loss: 0.081597
loss: 0.0593669
loss: 0.0479943
loss: 0.0420048
loss: 0.0387644
loss: 0.0369335
loss: 0.0358272
loss: 0.0350956
loss: 0.0345596
loss: 0.0341277
loss: 0.0337532
loss: 0.033412
loss: 0.0330917
loss: 0.0327859
loss: 0.0324912
loss: 0.0322057
loss: 0.0319283
loss: 0.0316584
loss: 0.0313956
loss: 0.0311394
loss: 0.0308896
loss: 0.030646
loss: 0.0304083
loss: 0.0301763
loss: 0.0299499
loss: 0.0297288
loss: 0.0295128
loss: 0.0293018
loss: 0.0290957
loss: 0.0288943
loss: 0.0286973
loss: 0.0285048
loss: 0.0283164
loss: 0.0281322
loss: 0.0279519
loss: 0.0277754
loss: 0.0276027
loss: 0.0274335
loss: 0.0272679
loss: 0.0271056
loss: 0.0269466
loss: 0.0267908
loss: 0.026638
loss: 0.0264883
loss: 0.0263414
loss: 0.0261973
loss: 0.026056
Training RNN to simple time dependent data iter = 1 loss: 0.811258
iter = 2 loss: 0.671925
iter = 3 loss: 0.598811
iter = 4 loss: 0.500157
iter = 5 loss: 0.425318
iter = 6 loss: 0.368619
iter = 7 loss: 0.326641
iter = 8 loss: 0.307369
iter = 9 loss: 0.345404
iter = 10 loss: 0.491442
iter = 11 loss: 0.613868
iter = 12 loss: 0.545972
iter = 13 loss: 0.44369
iter = 14 loss: 0.361798
iter = 15 loss: 0.320998
iter = 16 loss: 0.282058
iter = 17 loss: 0.256545
iter = 18 loss: 0.234969
iter = 19 loss: 0.220451
iter = 20 loss: 0.193934
iter = 21 loss: 0.174952
iter = 22 loss: 0.159584
iter = 23 loss: 0.149393
iter = 24 loss: 0.140745
iter = 25 loss: 0.133954
iter = 26 loss: 0.128029
iter = 27 loss: 0.12288
iter = 28 loss: 0.118186
iter = 29 loss: 0.113879
iter = 30 loss: 0.109864
iter = 31 loss: 0.106099
iter = 32 loss: 0.10255
iter = 33 loss: 0.0991928
iter = 34 loss: 0.0960097
iter = 35 loss: 0.092986
iter = 36 loss: 0.0901095
iter = 37 loss: 0.0873695
iter = 38 loss: 0.0847566
iter = 39 loss: 0.0822627
iter = 40 loss: 0.0798802
iter = 41 loss: 0.0776025
iter = 42 loss: 0.0754233
iter = 43 loss: 0.0733373
iter = 44 loss: 0.0713392
iter = 45 loss: 0.0694246
iter = 46 loss: 0.067589
iter = 47 loss: 0.0658285
iter = 48 loss: 0.0641394
iter = 49 loss: 0.0625181
iter = 50 loss: 0.0609614

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9609      0.9523     0.02664      0.9694     0.07289 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.9568     0.04385      0.9456      0.9129      0.9339 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.8959      0.9518     0.03399      0.9589      0.9675 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.9622     0.06719      0.8997     0.02517      0.0479 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |      0.931     0.01648     0.06183     0.02812       0.964 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.9455      0.9346     0.05392     0.03383      0.9338 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |     0.9622     0.05118     0.02297     0.03752     0.01582 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8786     0.05748     0.03929      0.9293     0.02355 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |    0.03033      0.9042      0.9139       0.882      0.9634 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9513      0.1756     0.02584      0.9662     0.02654 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |      0.021      0.2361      0.8939      0.9471     0.01529 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9382      0.9633      0.0478      0.9678     0.06246 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.1145      0.9516      0.9213      0.9605 

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