Execution Time0.10s

Test: TMVA-DNN-RNN-FullRNN-Cpu (Passed)
Build: PR-4624-x86_64-ubuntu16-gcc54-opt (sft-ubuntu-1604-4) on 2019-11-14 19:02:07
Repository revision: ee743e1638624a8a6fed6adde874e58bb5acc139

Test Timing: Passed
Processors1

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Test output
Training RNN to identity firstCopying output into input
Copying output into input
loss: 0.758064
loss: 0.312432
loss: 0.1887
loss: 0.133272
loss: 0.102052
loss: 0.0831551
loss: 0.0713022
loss: 0.0636001
loss: 0.0583725
loss: 0.0546363
loss: 0.0518133
loss: 0.0495625
loss: 0.0476826
loss: 0.0460535
loss: 0.0446031
loss: 0.0432872
loss: 0.042078
loss: 0.0409572
loss: 0.0399124
loss: 0.0389345
loss: 0.0380168
loss: 0.0371536
loss: 0.0363405
loss: 0.0355734
loss: 0.034849
loss: 0.0341642
loss: 0.0335161
loss: 0.0329022
loss: 0.0323203
loss: 0.0317681
loss: 0.0312437
loss: 0.0307453
loss: 0.0302713
loss: 0.0298201
loss: 0.0293903
loss: 0.0289806
loss: 0.0285898
loss: 0.0282167
loss: 0.0278603
loss: 0.0275197
loss: 0.0271939
loss: 0.026882
loss: 0.0265834
loss: 0.0262972
loss: 0.0260228
loss: 0.0257596
loss: 0.0255069
loss: 0.0252641
loss: 0.0250309
loss: 0.0248066
Training RNN to simple time dependent data iter = 1 loss: 0.855272
iter = 2 loss: 0.593751
iter = 3 loss: 0.536416
iter = 4 loss: 0.500774
iter = 5 loss: 0.478176
iter = 6 loss: 0.458883
iter = 7 loss: 0.445589
iter = 8 loss: 0.428477
iter = 9 loss: 0.412975
iter = 10 loss: 0.390221
iter = 11 loss: 0.367694
iter = 12 loss: 0.340967
iter = 13 loss: 0.316237
iter = 14 loss: 0.29297
iter = 15 loss: 0.273609
iter = 16 loss: 0.256961
iter = 17 loss: 0.243042
iter = 18 loss: 0.230694
iter = 19 loss: 0.219532
iter = 20 loss: 0.209137
iter = 21 loss: 0.199322
iter = 22 loss: 0.190008
iter = 23 loss: 0.181163
iter = 24 loss: 0.172786
iter = 25 loss: 0.164877
iter = 26 loss: 0.157434
iter = 27 loss: 0.150448
iter = 28 loss: 0.143904
iter = 29 loss: 0.137781
iter = 30 loss: 0.132056
iter = 31 loss: 0.126701
iter = 32 loss: 0.121689
iter = 33 loss: 0.116992
iter = 34 loss: 0.112583
iter = 35 loss: 0.10844
iter = 36 loss: 0.104539
iter = 37 loss: 0.100862
iter = 38 loss: 0.0973899
iter = 39 loss: 0.0941072
iter = 40 loss: 0.0909994
iter = 41 loss: 0.0880538
iter = 42 loss: 0.0852588
iter = 43 loss: 0.0826041
iter = 44 loss: 0.0800805
iter = 45 loss: 0.0776797
iter = 46 loss: 0.075394
iter = 47 loss: 0.0732165
iter = 48 loss: 0.0711409
iter = 49 loss: 0.0691611
iter = 50 loss: 0.0672717

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9567       0.808     0.07319      0.9188     0.06329 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.9628     0.06788       0.967      0.9712      0.9677 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.8714      0.9668      0.0651       0.955      0.9513 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.9573     0.07421      0.9635     0.06952      0.1141 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.9631     0.06666     0.07331     0.06227      0.9524 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.9418      0.9704     0.06432     0.07701      0.9528 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |      0.961     0.06816     0.06604     0.06054     0.06628 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9118      0.0631     0.08608       0.934     0.07373 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |    0.06787      0.8797       0.962      0.9585      0.9592 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9641     0.06708     0.07022      0.9487     0.06607 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |    0.07821     0.09421      0.9454      0.9594     0.06303 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9484      0.9665     0.06263      0.9651     0.06646 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.1732      0.9618      0.9614      0.9561 

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