Execution Time0.62s

Test: TMVA-DNN-RNN-FullRNN-Cpu (Passed)
Build: PR-4803-i686-ubuntu18-gcc7-opt (sft-ubuntu-1804-i386-2) on 2020-01-22 13:34:48
Repository revision: 43f601ed4c9f0c3003d9db4f9c00d70fc8496bd3

Test Timing: Passed
Processors1

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Test output
Training RNN to identity firstCopying output into input
Error in <AddBasicRNNLayer>: Inconsistent time steps with input layout - it should be 1 instead of 1
iteration : 1  loss: 1.69794
iteration : 2  loss: 1.10888
iteration : 3  loss: 0.734588
iteration : 4  loss: 0.494764
iteration : 5  loss: 0.339526
iteration : 6  loss: 0.237821
iteration : 7  loss: 0.170296
iteration : 8  loss: 0.124835
iteration : 9  loss: 0.0937937
iteration : 10  loss: 0.0722994
iteration : 11  loss: 0.0572049
iteration : 12  loss: 0.0464518
iteration : 13  loss: 0.038676
iteration : 14  loss: 0.0329623
iteration : 15  loss: 0.0286899
iteration : 16  loss: 0.0254336
iteration : 17  loss: 0.0228999
iteration : 18  loss: 0.0208843
iteration : 19  loss: 0.0192439
iteration : 20  loss: 0.0178779
iteration : 21  loss: 0.0167154
iteration : 22  loss: 0.0157055
iteration : 23  loss: 0.0148122
iteration : 24  loss: 0.0140096
iteration : 25  loss: 0.0132789
iteration : 26  loss: 0.0126066
iteration : 27  loss: 0.0119826
iteration : 28  loss: 0.0113995
iteration : 29  loss: 0.0108519
iteration : 30  loss: 0.0103354
iteration : 31  loss: 0.0098469
iteration : 32  loss: 0.00938376
iteration : 33  losError in <AddBasicRNNLayer>: Inconsistent time steps with input layout - it should be 5 instead of 5
s: 0.00894392
iteration : 34  loss: 0.00852568
iteration : 35  loss: 0.00812759
iteration : 36  loss: 0.00774844
iteration : 37  loss: 0.00738715
iteration : 38  loss: 0.00704276
iteration : 39  loss: 0.00671438
iteration : 40  loss: 0.00640124
iteration : 41  loss: 0.00610259
iteration : 42  loss: 0.00581774
iteration : 43  loss: 0.00554605
iteration : 44  loss: 0.0052869
iteration : 45  loss: 0.00503972
iteration : 46  loss: 0.00480397
iteration : 47  loss: 0.00457912
iteration : 48  loss: 0.00436467
iteration : 49  loss: 0.00416016
iteration : 50  loss: 0.00396513
Training RNN to simple time dependent data iter = 1 loss: 0.730404
iter = 2 loss: 0.667559
iter = 3 loss: 0.652559
iter = 4 loss: 0.642012
iter = 5 loss: 0.632822
iter = 6 loss: 0.624016
iter = 7 loss: 0.615218
iter = 8 loss: 0.606232
iter = 9 loss: 0.596909
iter = 10 loss: 0.587092
iter = 11 loss: 0.576589
iter = 12 loss: 0.565158
iter = 13 loss: 0.552509
iter = 14 loss: 0.538394
iter = 15 loss: 0.522846
iter = 16 loss: 0.506546
iter = 17 loss: 0.490729
iter = 18 loss: 0.476223
iter = 19 loss: 0.462887
iter = 20 loss: 0.450183
iter = 21 loss: 0.437713
iter = 22 loss: 0.425238
iter = 23 loss: 0.41252
iter = 24 loss: 0.399073
iter = 25 loss: 0.383912
iter = 26 loss: 0.366518
iter = 27 loss: 0.348887
iter = 28 loss: 0.333669
iter = 29 loss: 0.320092
iter = 30 loss: 0.307125
iter = 31 loss: 0.294731
iter = 32 loss: 0.282887
iter = 33 loss: 0.271575
iter = 34 loss: 0.260778
iter = 35 loss: 0.250482
iter = 36 loss: 0.240669
iter = 37 loss: 0.231322
iter = 38 loss: 0.222423
iter = 39 loss: 0.213953
iter = 40 loss: 0.205894
iter = 41 loss: 0.198227
iter = 42 loss: 0.190933
iter = 43 loss: 0.183992
iter = 44 loss: 0.177388
iter = 45 loss: 0.171102
iter = 46 loss: 0.165119
iter = 47 loss: 0.159422
iter = 48 loss: 0.153996
iter = 49 loss: 0.14883
iter = 50 loss: 0.14391

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9084      0.9238      0.1044      0.9267      0.1382 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.9285      0.1002      0.8463      0.9059      0.9254 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.7776      0.9307       0.129      0.9279      0.9282 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |     0.9112      0.1229      0.8322      0.1339      0.1646 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.9044      0.1155      0.1171      0.1369      0.9277 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.9272      0.9275      0.1025      0.1059      0.8374 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |      0.929      0.1342       0.127       0.125      0.1749 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.6493      0.1315      0.1173      0.9104      0.1246 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |     0.1269      0.6766      0.8971      0.7759      0.9325 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.9108      0.1541      0.1086      0.9103      0.1217 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |     0.1147       0.514      0.8863      0.9149      0.1339 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.8863      0.9332      0.1544       0.927      0.1597 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |     0.1498      0.9324      0.8703      0.9245 

ROC integral is 0.453247
Test full RNN passed : Efficiencies are 0.0344828 and 1