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[FEA]: Add NVTX library and annotate example workflows with NVTX markers #915

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Description

Is this a new feature, an improvement, or a change to existing functionality?

New Feature

How would you describe the priority of this feature request

Low (would be nice)

Please provide a clear description of problem this feature solves

I want Morpheus workflows to be easily benchmarked on different hardware to aid in identifying performance regressions, and optimum hardware environments.

Describe your ideal solution

Ideally we would add the lightweight https://github.com/NVIDIA/NVTX library to Morpheus.

Then we could annotate and use NVTX markers for the stop/start of stages for data loading, inference, training loop, etc in example workflows with a benchmark dataset.

Describe any alternatives you have considered

We currently use pytest, but would like to use tools in the nvidia ecosystem to help with more granular hardware benchmarks.

Additional context

No response

Code of Conduct

  • I agree to follow this project's Code of Conduct
  • I have searched the open feature requests and have found no duplicates for this feature request
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