Daniel Falbel

Hi @jonlachmann ! Thanks for raising the issue and for all the updates. Sorry, I'll need some time to investigate this. It's indeed unexpect that torch Lapack routines overwrite R's.

Currently this is not possible. This is something I'll be working on after the next release of torch. I will let you know hot it goes, but I think at...

Sorry, I can't reproduce the issue. I wonder if re-installing torchvision can fix the problem?

So here's a way I could reproduce this issue: - Install an old torch version, eg `remotes::install_version("torch", version="0.10.0")` - Install torchvision - Loading the model works. - Update to a...

Hi @y-vectorfield, I still didn't have time to work on a new guide. I have worked on different approach here though: https://github.com/mlverse/docker/tree/main/torch

I was having this same issue and downgrading visual studio solved the problem. I downgraded from `Visual Studio 17 2022` to `Visual Studio 16 2019` and now the CMake cache...

Sorry @dominicwhite for taking so long to look at this issue. I tried running your reproducible example using the dev version of torch and luz and could not reproduce. I...

Cool @cregouby ! In order to get support for AMD GPU's we will need to figure out: 1. How to build lantern targeting ROCm, probably adding another set of conditions...

Nice! This is looking great! Maybe ROCM can work with minor version mismatches? That's not the case for CUDA, but you could try.

I think you can cross-compile on the default ubuntu and install the ROCm compilers. Ie, I think you can compile for ROCm in a machine that doesn't include a AMD...