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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: 91.54369 Test loss: 93.76154 epoch: 2 Train loss: 87.94013 Test loss: 87.15343 epoch: 3 Train loss: 74.2623 Test loss: 81.41062 block 2 1142 sequence for training 561 sequence for testing epoch: 1 Train loss: 93.72126 Test loss: 95.5936 epoch: 2 Train loss: 82.96726 Test loss: 91.18508 epoch: 3 Train loss: 77.02989 Test loss: 91.79746 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: 122.39 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: 245.6167 Test loss: 230.7832 epoch: 2 Train loss: 183.6397 Test loss: 216.1579 epoch: 3 Train loss: 183.7601 Test loss: 214.3557 block 2 1602 sequence for training 801 sequence for testing epoch: 1 Train loss: 218.3946 Test loss: 235.2807 epoch: 2 Train loss: 164.716 Test loss: 235.6126 epoch: 3 Train loss: 161.4597 Test loss: 224.5663 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: 214.48 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: 185.0517 Test loss: 152.7748 epoch: 2 Train loss: 133.7081 Test loss: 152.467 epoch: 3 Train loss: 132.0447 Test loss: 151.2277 block 2 272 sequence for training 136 sequence for testing epoch: 1 Train loss: 163.1327 Test loss: 159.6509 epoch: 2 Train loss: 151.1063 Test loss: 163.2294 epoch: 3 Train loss: 151.4003 Test loss: 159.2229 block 3 408 sequence for training 136 sequence for testing epoch: 1 Train loss: 223.3204 Test loss: 233.8975 epoch: 2 Train loss: 206.1862 Test loss: 233.6663 epoch: 3 Train loss: 204.519 Test loss: 230.3787 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: 61.17 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: 256.0402 Test loss: 246.556 epoch: 2 Train loss: 230.3014 Test loss: 237.9374 epoch: 3 Train loss: 223.7694 Test loss: 243.4118 block 2 794 sequence for training 397 sequence for testing epoch: 1 Train loss: 287.2633 Test loss: 280.4869 epoch: 2 Train loss: 291.8877 Test loss: 285.4252 epoch: 3 Train loss: 292.3459 Test loss: 281.223 block 3 1191 sequence for training 397 sequence for testing epoch: 1 Train loss: 288.4545 Test loss: 283.9062 epoch: 2 Train loss: 297.1425 Test loss: 282.4672 epoch: 3 Train loss: 295.329 Test loss: 281.6637 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: 112.91 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: 198.4499 Test loss: 206.0753 epoch: 2 Train loss: 193.5533 Test loss: 211.4988 epoch: 3 Train loss: 198.5769 Test loss: 203.272 block 2 268 sequence for training 134 sequence for testing epoch: 1 Train loss: 234.3945 Test loss: 224.0292 epoch: 2 Train loss: 237.4162 Test loss: 222.0952 epoch: 3 Train loss: 232.3052 Test loss: 218.543 block 3 402 sequence for training 134 sequence for testing epoch: 1 Train loss: 222.2119 Test loss: 241.8747 epoch: 2 Train loss: 220.0674 Test loss: 237.4528 epoch: 3 Train loss: 215.3717 Test loss: 236.6179 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: 86.02 sec elapsed random search: 260.14 sec elapsed [ FAIL 0 | WARN 0 | SKIP 0 | PASS 34 ] Warning messages: 1: In .Call(`_torch_cpp_torch_method_addcdiv__self_Tensor_tensor1_Tensor_tensor2_Tensor`, : closing unused connection 6 (<-CRANwin3.fb05.statistik.uni-dortmund.de:22922) 2: In .Call(`_torch_cpp_torch_method_addcdiv__self_Tensor_tensor1_Tensor_tensor2_Tensor`, : closing unused connection 5 (<-CRANwin3.fb05.statistik.uni-dortmund.de:22922) > > proc.time() user system elapsed 606.70 45.93 602.73