refactor: Address some issues with enums and overhaul documentation

[narendasan]

Description

Addresses some issues with enums and refactors the documentation to more clearly reflect the current state of the project

Fixes #2902

Type of change

Please delete options that are not relevant and/or add your own.

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

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/docsrc/conf.py	2024-07-01 17:10:40.348842+00:00
+++ /home/runner/work/TensorRT/TensorRT/docsrc/conf.py	2024-07-01 17:12:30.584635+00:00
@@ -187,11 +187,11 @@
    "ConverterImplSignature": "ConverterImplSignature",
}

nbsphinx_execute = "never"

-autodoc_member_order = 'groupwise'
+autodoc_member_order = "groupwise"

# -- A patch that prevents Sphinx from cross-referencing ivar tags -------
# See http://stackoverflow.com/a/41184353/3343043

from docutils import nodes

[HolyWu]

I suggest that you can add a codespell workflow which is quite handy for checking common misspellings.

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py	2024-07-02 18:31:52.897696+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py	2024-07-02 18:44:37.254421+00:00
@@ -369,10 +369,11 @@
                return f(*args, **kwargs)

        return function_wrapper

    return nested_decorator
+

def check_output(
    new_module: torch.fx.GraphModule,
    refitted_module: torch.fx.GraphModule,
    inputs: tuple[Any, ...],
@@ -383,6 +384,6 @@
            new_outputs, torch.Tensor
        ):
            if not torch.allclose(old_output, new_output, 1e-2, 1e-2):
                return False

-    return True
\ No newline at end of file
+    return True

[zewenli98]

LGTM