Description
A user I help support with the GEOS model has asked for neural-fortran to be used. The main issue I'm currently having is how I can build it in my "usual" way.
For example, currently I use ESMA-Baselibs to install the "base libraries" used by GEOS. Now, Baselibs is "nice" for clusters in that I can clone it on a node with internet access (and download a few things not on GitHub and not submodule-able) and then do all the other tasks on a compute node where things like make -j10 are allowed (head nodes maaaaybe they'd allow make -j2).
The issue I see here is that if I use the CMake install method, it looks like it always uses FetchContent which of course would fail on a compute node at CMake time since it couldn't get the code since compute nodes can't see the internet.
So, I wondered, do you have ideas on how to handle this? My first thought was I can add functional-fortran, h5fortran, and json-fortran as submodules, but I think I'd need to do something like in, say, functional.cmake:
find_package(functional 0.6.1 QUIET)
if (NOT functional_FOUND)
FetchContent_Declare(functional
GIT_REPOSITORY https://github.com/wavebitscientific/functional-fortran
GIT_TAG 0.6.1
GIT_SHALLOW true
)
FetchContent_Populate(functional)
...Does that look about right? I'm going to try this and see in some test builds but I even wondered if you'd be willing to support such a change.