Support passing setup_kwargs to DynamicModule.convert() (#577)

## What does this PR do?

**Type of change:** Implementation improvement <!-- Use one of the
following: Bug fix, new feature, new example, new tests, documentation.
-->

For Minitron, currently we define hparams in DynamicModule._setup() and
then overwrite it with hparams from other layers so they share the same
reference (e.g. hidden_size hparam from embedding should be used
throughout the model). Instead, allowing kwargs in _setup and passing
them from DMRegistry.convert() will make the code more intuitive and
less error-prone

## Testing

- No functionality change, only implementation improvement
- We have thorough CICD tests already that are passing after this change

## Before your PR is "*Ready for review*"
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`Draft` PR. -->

- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes <!--- If No, explain why.
-->
- **Did you write any new necessary tests?**: No
- **Did you add or update any necessary documentation?**: No
- **Did you update
[Changelog](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CHANGELOG.rst)?**:
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breaking changes. -->

---------

Signed-off-by: Keval Morabia <[email protected]>

Author: kevalmorabia97

modelopt/torch/nas/hparams/concat.py

@@ -121,7 +121,7 @@ def active(self) -> int:
             active += hp.active
         return active
 
-    @active.setter  # type: ignore[override]
+    @active.setter
     def active(self, val: int | None):
         """Set the active value with a sanity check for choices and dynamic hparams."""
         val = self.original if val is None else val