Add support for the jetpack6.1 build

[lanluo-nvidia]

Description

Add support for the jetpack6.1 build.
Currently jetpack 6.1 has:
cuda: 12.6
python: 3.10
tensorrt: 10.3
DLFW: 24.08 (pytorch: 2.5.0)

It can build successfully on release/2.5 branch, will fail on the main branch for now, as main branch has used the pytorch method from 2.6.0 which is not in the DLFW24.08 distribution.

Fixes # (issue)

Type of change

Please delete options that are not relevant and/or add your own.

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

[narendasan]

Can you layout the workflow you expect users to do? What updates do we need to add here? https://pytorch.org/TensorRT/getting_started/installation.html#compiling-from-source

I feel like the script could just be in the docs since it seems like mostly dependency installs

[peri044]

1. script - move to docs
2. align with which pytorch to target (ngc or the stable ones )