Execution Time0.20s

Test: TMVA-DNN-RNN-FullRNN-Cpu (Passed)
Build: master-x86_64-fedora29-gcc8-dbg (root-fedora29-2.cern.ch) on 2019-11-14 11:43:11

Test Timing: Passed
Processors1

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Test output
Training RNN to identity firstCopying output into input
Copying output into input
loss: 0.525797
loss: 0.27033
loss: 0.204235
loss: 0.17068
loss: 0.147136
loss: 0.129316
loss: 0.115446
loss: 0.104395
loss: 0.0953661
loss: 0.0878031
loss: 0.0813169
loss: 0.0756385
loss: 0.0705821
loss: 0.0660192
loss: 0.0618597
loss: 0.0580398
loss: 0.0545127
loss: 0.0512437
loss: 0.0482057
loss: 0.0453769
loss: 0.0427396
loss: 0.0402782
loss: 0.0379793
loss: 0.0358311
loss: 0.0338227
loss: 0.0319444
loss: 0.0301869
loss: 0.028542
loss: 0.027002
loss: 0.0255597
loss: 0.0242083
loss: 0.0229417
loss: 0.0217541
loss: 0.0206402
loss: 0.019595
loss: 0.0186137
loss: 0.0176922
loss: 0.0168264
loss: 0.0160125
loss: 0.0152471
loss: 0.014527
loss: 0.0138491
loss: 0.0132108
loss: 0.0126093
loss: 0.0120423
loss: 0.0115076
loss: 0.0110031
loss: 0.0105268
loss: 0.0100769
loss: 0.00965177
Training RNN to simple time dependent data iter = 1 loss: 0.639356
iter = 2 loss: 0.613016
iter = 3 loss: 0.596833
iter = 4 loss: 0.58097
iter = 5 loss: 0.564351
iter = 6 loss: 0.54687
iter = 7 loss: 0.5289
iter = 8 loss: 0.510926
iter = 9 loss: 0.493196
iter = 10 loss: 0.475747
iter = 11 loss: 0.458554
iter = 12 loss: 0.441614
iter = 13 loss: 0.424966
iter = 14 loss: 0.408696
iter = 15 loss: 0.392902
iter = 16 loss: 0.377668
iter = 17 loss: 0.363029
iter = 18 loss: 0.34898
iter = 19 loss: 0.335493
iter = 20 loss: 0.322537
iter = 21 loss: 0.310087
iter = 22 loss: 0.29812
iter = 23 loss: 0.286618
iter = 24 loss: 0.275563
iter = 25 loss: 0.264936
iter = 26 loss: 0.254719
iter = 27 loss: 0.244895
iter = 28 loss: 0.235453
iter = 29 loss: 0.226381
iter = 30 loss: 0.21767
iter = 31 loss: 0.209313
iter = 32 loss: 0.201301
iter = 33 loss: 0.193628
iter = 34 loss: 0.186286
iter = 35 loss: 0.179267
iter = 36 loss: 0.172562
iter = 37 loss: 0.166163
iter = 38 loss: 0.160063
iter = 39 loss: 0.154279
iter = 40 loss: 0.148903
iter = 41 loss: 0.14443
iter = 42 loss: 0.14295
iter = 43 loss: 0.153816
iter = 44 loss: 0.193375
iter = 45 loss: 0.28867
iter = 46 loss: 0.735364
iter = 47 loss: 1.19184
iter = 48 loss: 0.374522
iter = 49 loss: 0.152424
iter = 50 loss: 0.141689

2x64 matrix is as follows

     |       0    |       1    |       2    |       3    |       4    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.9144      0.8548     0.07517      0.8723      0.1254 


     |       5    |       6    |       7    |       8    |       9    |
----------------------------------------------------------------------
   0 |          1           0           1           1           1 
   1 |     0.8354      0.1165      0.9157      0.9335       0.843 


     |      10    |      11    |      12    |      13    |      14    |
----------------------------------------------------------------------
   0 |          1           1           0           1           1 
   1 |     0.9202      0.9209      0.1148      0.8115       0.915 


     |      15    |      16    |      17    |      18    |      19    |
----------------------------------------------------------------------
   0 |          1           0           1           0           0 
   1 |       0.92      0.1241      0.8892      0.1022      0.2321 


     |      20    |      21    |      22    |      23    |      24    |
----------------------------------------------------------------------
   0 |          1           0           0           0           1 
   1 |     0.8217      0.1443      0.1164      0.1183      0.9094 


     |      25    |      26    |      27    |      28    |      29    |
----------------------------------------------------------------------
   0 |          1           1           0           0           1 
   1 |     0.8129      0.8765     0.08592      0.1841      0.8923 


     |      30    |      31    |      32    |      33    |      34    |
----------------------------------------------------------------------
   0 |          1           0           0           0           0 
   1 |      0.886      0.1116      0.1061     0.09046      0.1158 


     |      35    |      36    |      37    |      38    |      39    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8793       0.149     0.09921      0.9183      0.1345 


     |      40    |      41    |      42    |      43    |      44    |
----------------------------------------------------------------------
   0 |          0           1           1           1           1 
   1 |     0.1702      0.8138      0.8037      0.9221      0.8648 


     |      45    |      46    |      47    |      48    |      49    |
----------------------------------------------------------------------
   0 |          1           0           0           1           0 
   1 |     0.8482      0.1503      0.1147        0.79      0.1399 


     |      50    |      51    |      52    |      53    |      54    |
----------------------------------------------------------------------
   0 |          0           0           1           1           0 
   1 |    0.06474       0.169      0.8606      0.8444      0.1012 


     |      55    |      56    |      57    |      58    |      59    |
----------------------------------------------------------------------
   0 |          1           1           0           1           0 
   1 |     0.8977      0.8901      0.1244      0.9283     0.07344 


     |      60    |      61    |      62    |      63    |
----------------------------------------------------------------------
   0 |          0           1           1           1 
   1 |      0.184      0.8835      0.8893       0.843 

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