testing OpenMP-enabled glmmTMB on various configurations
If, for once, I can be of any help to you... this is what I got:
remotes::install_github("glmmTMB/glmmTMB/glmmTMB at conditional_openmp")Downloading GitHub repo glmmTMB/glmmTMB at conditional_openmpThese packages have more recent versions available.
Which would you like to update? 1: All 2: CRAN packages only 3: None 4: Rcpp (1.0.1 -> 1.0.3 ) [CRAN] 5: RcppEigen (0.3.3.5.0 -> 0.3.3.7.0) [CRAN] Enter one or more numbers separated by spaces, or an empty line to cancel1: 1Rcpp (1.0.1 -> 1.0.3 ) [CRAN] RcppEigen (0.3.3.5.0 -> 0.3.3.7.0) [CRAN]Installing 2 packages: Rcpp, RcppEigentrying URL 'https://cran.rstudio.com/bin/windows/contrib/3.5/Rcpp_1.0.3.zip'Content type 'application/zip' length 3011719 bytes (2.9 MB)downloaded 2.9 MB trying URL 'https://cran.rstudio.com/bin/windows/contrib/3.5/RcppEigen_0.3.3.7.0.zip'Content type 'application/zip' length 2676104 bytes (2.6 MB)downloaded 2.6 MB package ?Rcpp? successfully unpacked and MD5 sums checkedError: (converted from warning) cannot remove prior installation of package ?Rcpp? Cheers, GA2 Le lun. 13 janv. 2020 ? 23:04, Ben Bolker <bbolker at gmail.com> a ?crit :
Hi folks,
We're trying to troubleshoot a version of glmmTMB that enables OpenMP
support, but we have a fairly limited set of test platforms and it would
be nice to know if many users are going to have installation difficulties.
If you have development tools (and the 'remotes' package) installed
and a few free minutes, it would be great if you could try
remotes::install_github("glmmTMB/glmmTMB/glmmTMB at conditional_openmp")
and let us know if you have any trouble installing (it should install
whether or not you have OpenMP enabled ...)
If you're feeling energetic or distractible, you could try the tests here:
https://github.com/glmmTMB/glmmTMB/issues/481#issuecomment-572767245
the expected result is you should see *either* warnings that OpenMP is
not enabled *or* at least some speed-up for the parallel version over
the serial version.
Results (especially problematic ones!) welcome at
https://github.com/glmmTMB/glmmTMB/issues/481
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models