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:
ab76c1d

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

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• 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

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• I have performed a self-review of my own code
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• I have added tests to verify my fix or my feature
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