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Better code profiling #639

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sarthakpati opened this issue May 5, 2023 · 11 comments
Open

Better code profiling #639

sarthakpati opened this issue May 5, 2023 · 11 comments
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enhancement New feature or request help wanted Extra attention is needed

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@sarthakpati
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sarthakpati commented May 5, 2023 •
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Is your feature request related to a problem? Please describe.
Currently, all the code profiling is custom based on internal functions from psutil and/or pytorch. It would be great to have a more uniform solution.

Describe the solution you'd like
I found a few options:

  • Torch Profiler: Pros: extensive pytorch-specific debugging information; cons: requires changes to the training/inference apis of GaNDLF
  • Scalene: Pros: straightforward start and stop for pieces of code that are to be profiled; cons: generic hardware-level information
  • octoml: Pros: potential acceleration of prediction; cons: requires modification of model code, PyTorch-2.0 needed
  • DLProf: Pros: CLI-based; cons: doesn't seem to give pytorch-specific information
  • HolisticTraceAnalysis: Pros: tight integration with PyTorch; cons: very new library so might need to see how this develops

We should have a detailed discussion on any potential requirements and how we can evaluate these libraries.

Describe alternatives you've considered
N.A.

Additional context
N.A.
@sarthakpati sarthakpati added enhancement New feature or request help wanted Extra attention is needed labels May 5, 2023
@sarthakpati sarthakpati changed the title Better profiling Better code profiling May 5, 2023
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@pranayasinghcsmpl pranayasinghcsmpl mentioned this issue Jul 25, 2024
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@sarthakpati
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@pranayasinghcsmpl you are still working on this, right?

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@pranayasinghcsmpl you are still working on this, right?

I believe this is still being worked on, right?

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