R Under development (unstable) (2025-08-18 r88641 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. 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/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(shrinkGPR) Welcome to shrinkGPR version 1.1. NOTE: No CUDA installation detected. This may be quite slow for larger datasets. Consider installing CUDA for GPU acceleration. Information on this can be found at: https://cran.r-project.org/web/packages/torch/vignettes/installation.html > > test_check("shrinkGPR") 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). [W819 14:12:15.000000000 BatchLinearAlgebra.cpp:1702] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release. L = torch.cholesky(A) should be replaced with L = torch.linalg.cholesky(A) and U = torch.cholesky(A, upper=True) should be replaced with U = torch.linalg.cholesky(A).mH This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator ()) Initializing parameters...Done! Timing (elapsed): 1.23 seconds. 8 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.19 seconds. 8 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.06 seconds. 9 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.11 seconds. 9 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.19 seconds. 8 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.1 seconds. 9 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.11 seconds. 9 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object Initializing parameters...Done! Timing (elapsed): 1.14 seconds. 9 iterations per second. Max iterations reached, stopping at iteration 10 Check if convergence is reached by looking at the loss_stor attribute of the returned object [ FAIL 0 | WARN 0 | SKIP 0 | PASS 448 ] > > proc.time() user system elapsed 95.50 8.76 39.10