fix: Repair integer inputs in dynamic shape cases

[gs-olive]

Description

• Generative inference with HF text generation models such as gpt2 can fail if graph segmentation causes a symbolic integer to be passed from Torch to TRT, since the Torch output is an integer, while TRT expects a tensor
• Added logic to the modules to address this case
• Added test cases to validate generation with both Python and C++ runtimes

Type of change

• Bug fix (non-breaking change which fixes an issue)

Checklist:

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

[gs-olive]

--> Cherry pick to release/2.3