Add changes to libtorch installation instructions.

[grmnptr]

Closes #27688

[grmnptr]

Do you guys think we can create a quick CIVET recipe for this? Just to check if we can build moose like this. (It works locally)

[grmnptr]

Also, @hugary1995 , do you guys have anything to add here?

[hugary1995]

I don't have major comments.

[hugary1995]

Oh maybe also mention the pytorch compatibility matrix: https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-matrix

[grmnptr]

Great, thanks @hugary1995 , will address these as soon as possible.

[moosebuild]

Job Documentation on 2e36ba7 wanted to post the following:

View the site here

This comment will be updated on new commits.

[milljm]

Some heading changes to address the truncation of the navigation table.

And a brief check on using minimum_python instead of default_python.

[milljm]

Do you guys think we can create a quick CIVET recipe for this? Just to check if we can build moose like this. (It works locally)

Easily enough, yes!

[grmnptr]

@hugary1995 , is this good enough for now?

[milljm]

Looks good to me!

[hugary1995]

Just one nit picky comment. Overall this looks great!

[hugary1995]

I also just asked @reverendbedford about his opinion in case I missed anything. He made a good point about the fact that these new instructions kinda tell users not to use gpu libtorch on linux systems. However that's not true, even though the current conda pytorch package isn't compatible with moose-dev, there is still the option of compiling all moose dependencies, e.g. petsc, libmesh, etc, from scratch.

[hugary1995]

However that's not true, even though the current conda pytorch package isn't compatible with moose-dev, there is still the option of compiling all moose dependencies, e.g. petsc, libmesh, etc, from scratch.

And of course I'll let you guys decide whether to declare this route as "officially supported". But I think it is worth pointing out the option regardless.

[grmnptr]

Sounds good, I'll extend this a little. We'll have a PR hopefully soon which will remove these limitations from the linux/conda combination.