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Hi there!
For custom training image, you can specify the entrypoint in your Dockerfile.
Below are some code snippet as well as links you can use as reference:
ENTRYPOINT ["./entrypoint.sh"]
ENTRYPOINT ["python", "-m", "trainer.start"]
Furthermore, SageMaker Training Toolkit is a nicely wrapped up python package for you to use and eases the process of creating a custom training image, it's no different from implementing the logic yourself.
So it is definitely possible to run HyperParameter Tuning Job using custom containers without using our SageMaker Training Toolkit.
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Thanks a lot for your examples and snippets! I will reference them right now!