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Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/tests.html > # * https://testthat.r-lib.org/reference/test_package.html#special-files > > library(testthat) > library(proteus) > > test_check("proteus") OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). block 1 581 sequence for training 561 sequence for testing epoch: 1 Train loss: 88.44651 Test loss: 89.63341 epoch: 2 Train loss: 80.49246 Test loss: 87.14513 epoch: 3 Train loss: 77.36635 Test loss: 84.43099 block 2 1142 sequence for training 561 sequence for testing epoch: 1 Train loss: 88.11757 Test loss: 90.52718 epoch: 2 Train loss: 68.33315 Test loss: 86.69543 epoch: 3 Train loss: 69.47464 Test loss: 87.3015 final training on all 3 1703 sequence for training OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). epoch: 1 Train loss: 83.06054 epoch: 2 Train loss: 71.7547 epoch: 3 Train loss: 71.27546 variational model based on normal latent distribution with 144 tensors and 8190 parameters proteus: 119.12 sec elapsed date and value gaps filled with kalman imputation OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). block 1 801 sequence for training 801 sequence for testing epoch: 1 Train loss: 218.5553 Test loss: 180.949 epoch: 2 Train loss: 144.9411 Test loss: 168.591 epoch: 3 Train loss: 142.3613 Test loss: 169.1441 block 2 1602 sequence for training 801 sequence for testing epoch: 1 Train loss: 202.3013 Test loss: 231.59 epoch: 2 Train loss: 164.7669 Test loss: 228.6205 epoch: 3 Train loss: 163.5107 Test loss: 225.8451 final training on all 3 2403 sequence for training epoch: 1 Train loss: 179.6252 epoch: 2 Train loss: 155.8336 epoch: 3 Train loss: 154.886 variational model based on normal latent distribution with 144 tensors and 60670 parameters proteus: 206.31 sec elapsed OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). block 1 136 sequence for training 136 sequence for testing epoch: 1 Train loss: 188.8241 Test loss: 187.1299 epoch: 2 Train loss: 177.0428 Test loss: 188.6961 epoch: 3 Train loss: 175.0766 Test loss: 186.4113 block 2 272 sequence for training 136 sequence for testing epoch: 1 Train loss: 178.3252 Test loss: 177.4671 epoch: 2 Train loss: 162.5948 Test loss: 183.1166 epoch: 3 Train loss: 161.0779 Test loss: 178.6199 block 3 408 sequence for training 136 sequence for testing epoch: 1 Train loss: 204.2777 Test loss: 207.3729 epoch: 2 Train loss: 198.6987 Test loss: 205.0965 epoch: 3 Train loss: 198.6741 Test loss: 207.2614 final training on all 4 544 sequence for training epoch: 1 Train loss: 185.388 epoch: 2 Train loss: 178.3816 epoch: 3 Train loss: 179.2917 variational model based on laplace latent distribution with 48 tensors and 17794 parameters proteus: 62.46 sec elapsed OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). block 1 397 sequence for training 397 sequence for testing epoch: 1 Train loss: 283.3353 Test loss: 286.6235 epoch: 2 Train loss: 275.2336 Test loss: 282.1326 epoch: 3 Train loss: 279.6113 Test loss: 283.5476 block 2 794 sequence for training 397 sequence for testing epoch: 1 Train loss: 291.2389 Test loss: 282.5173 epoch: 2 Train loss: 292.1731 Test loss: 281.4898 epoch: 3 Train loss: 292.3657 Test loss: 284.5077 block 3 1191 sequence for training 397 sequence for testing epoch: 1 Train loss: 295.4276 Test loss: 281.328 epoch: 2 Train loss: 295.8082 Test loss: 281.7191 epoch: 3 Train loss: 295.241 Test loss: 283.7999 final training on all 4 1588 sequence for training epoch: 1 Train loss: 297.5815 epoch: 2 Train loss: 294.8799 epoch: 3 Train loss: 298.6073 variational model based on normal latent distribution with 32 tensors and 10402 parameters proteus: 110.76 sec elapsed OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). OMP: Warning #96: Cannot form a team with 48 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set). block 1 134 sequence for training 134 sequence for testing epoch: 1 Train loss: 161.3132 Test loss: 164.1413 epoch: 2 Train loss: 170.3205 Test loss: 171.3299 epoch: 3 Train loss: 173.1474 Test loss: 182.4085 block 2 268 sequence for training 134 sequence for testing epoch: 1 Train loss: 236.1788 Test loss: 219.4906 epoch: 2 Train loss: 227.3341 Test loss: 217.6033 epoch: 3 Train loss: 232.7503 Test loss: 217.6221 block 3 402 sequence for training 134 sequence for testing epoch: 1 Train loss: 231.5906 Test loss: 249.2586 epoch: 2 Train loss: 230.1026 Test loss: 241.4003 epoch: 3 Train loss: 223.7714 Test loss: 240.6633 final training on all 4 536 sequence for training epoch: 1 Train loss: 188.2629 epoch: 2 Train loss: 227.6444 epoch: 3 Train loss: 237.7569 variational model based on cauchy latent distribution with 112 tensors and 47360 parameters proteus: 84.36 sec elapsed random search: 257.6 sec elapsed [ FAIL 0 | WARN 0 | SKIP 0 | PASS 34 ] Warning messages: 1: In .Call(`_torch_cpp_torch_method_mul__self_Tensor_other_Scalar`, : closing unused connection 6 (<-CRANwin3.fb05.statistik.uni-dortmund.de:32781) 2: In .Call(`_torch_cpp_torch_method_mul__self_Tensor_other_Scalar`, : closing unused connection 5 (<-CRANwin3.fb05.statistik.uni-dortmund.de:32781) > > proc.time() user system elapsed 561.53 43.85 589.03