Describe your changes

Update NVMO quantization pass for the following:

1. Make some important quantization settings as configurable e.g. calib_size, dataset, add_position_ids input etc. Remove hard-coding of such params.
2. Add RTN in supported algorithms.
3. Make calibrartion_providers configurable (added new config field) - user can provide calibration_providers explicitly in config json. Otherwise, EPs from available EPs will be used for calibration.
4. With configurable position_ids inputs in calibration-data and with support for available/specified calibration_providers, NvTensorRtRtx EP should also get supported.
5. Rename some of the config fields like calibration_method etc.
6. Documentation update:

• Moved "More Inference Examples" outside of TensorRT Model-Optimizer section as it was before. Looks like it might had got inadvertently clubbed under TensorRT Model-Optimizer in some earlier commit16ffab8.
• Added section for using different execution-providers with the example config.

7. Cleanup: Removed some packages from requirements files which should get installed with nvidia-modelopt[onnx]

Checklist before requesting a review

• Add unit tests for this change.
• Make sure all tests can pass.
• Update documents if necessary.
• Lint and apply fixes to your code by runninglintrunner -a
• Is this a user-facing change? If yes, give a description of this change to be included in the release notes.
• Is this PR including examples changes? If yes, please remember to updateexample documentation in a follow-up PR.

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