add uv update workflow

[lanluo-nvidia]

Description

Here is the CI pipeline: https://github.com/pytorch/TensorRT/actions/runs/20152165935/job/57847168432 Here is the auto commit record: https://github.com/pytorch/TensorRT/commit/ab76c1db4d6c91c56956308a1db2f7ce37fa7fad

pytorch upgraded the cuda from 13.0.0 to 13.0.2 which upgraded the nvidia-cuda-runtime==13.0.96 however tensorrt_cu13 has the dependency on nvidia-cuda-runtime==13.0.88.*

which result in uv resolve to a early torch version of 20251028 before cuda upgrade to 13.0.2 version. which is same as pip dependency resolution behavior too. But in pip we can use --use-deprecated=legacy-resolver , uv has no such equivalent

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