docs: Example on how to use custom kernels in Torch-TensorRT

[narendasan]

Description

Example on how to use custom kernels in Torch-TensorRT

Fixes # (issue)

Type of change

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

• New feature (non-breaking change which adds functionality)

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	2024-05-04 05:59:54.585747+00:00
+++ /home/runner/work/TensorRT/TensorRT/docsrc/conf.py	2024-05-04 06:01:45.514354+00:00
@@ -182,11 +182,11 @@
    "LegacyConverterImplSignature": "LegacyConverterImplSignature",
    "DynamoConverterImplSignature": "DynamoConverterImplSignature",
    "ConverterImplSignature": "ConverterImplSignature",
}

-nbsphinx_execute = 'never'
+nbsphinx_execute = "never"

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

from docutils import nodes

[gs-olive]

Tutorial looks great and is very informative and easy to follow. Renders nicely when tested locally.

[zewenli98]

That's pretty helpful. Thanks for the tutorial!