Presumably the installation of tensor flow only has to happen once, so you could factor your interface such that it installs tensor flow lazily.
Michael On Wed, Mar 28, 2018 at 9:23 AM, Kieran Campbell <kieranrcampb...@gmail.com> wrote: > Hi all, > > Rstudio have released the Tensorflow package for R - > https://tensorflow.rstudio.com/tensorflow/ - and we have started > incorporating it into some of our genomics packages for the heavy > numerical computation. > > We would ideally like these to be submitted to Bioconductor, but > there's a custom line required for Tensorflow installation in that > after calling > > install.packages("tensorflow") > > then Tensorflow must be installed via > > tensorflow::install_tensorflow() > > which would break package testing if tensorflow was simply imported > into the R package and wasn't already installed. Is there any way to > customise a package installation within Bioconductor to trigger the > tensorflow::install_tensorflow() ? > > As more people use tensorflow / deep learning in genomics I can see > this being a problem so it would be good to have a solution in place. > > Many thanks, > > Kieran Campbell > > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel > > [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
