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[Core feature] [plugin] Type - Model analysis using WeightWatcher #3013

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2 tasks done
Tracked by #2917
kumare3 opened this issue Oct 22, 2022 · 2 comments
Open
2 tasks done
Tracked by #2917

[Core feature] [plugin] Type - Model analysis using WeightWatcher #3013

kumare3 opened this issue Oct 22, 2022 · 2 comments
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enhancement New feature or request flytekit FlyteKit Python related issue good first issue Good for newcomers scipy-2023 stale

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@kumare3
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kumare3 commented Oct 22, 2022

Motivation: Why do you think this is important?

For trained models, using WeightWatcher to analyze a deep learning model can help provide default analysis for a model

https://github.com/CalculatedContent/WeightWatcher

Goal: What should the final outcome look like, ideally?

Note: this is a proposal only. May not be the ideal implementation

@task(enable_flytedecks=True)
def train(...) -> Annotated[nn.Module, WeightWatcherRenderer]:
   ...

Describe alternatives you've considered

self publishing in custom deck.

Propose: Link/Inline OR Additional context

No response

Are you sure this issue hasn't been raised already?

  • Yes

Have you read the Code of Conduct?

  • Yes

Onboarding

@ananyapillai72
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Would like to work on this

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Hello 👋, this issue has been inactive for over 9 months. To help maintain a clean and focused backlog, we'll be marking this issue as stale and will engage on it to decide if it is still applicable.
Thank you for your contribution and understanding! 🙏

@github-actions github-actions bot added the stale label Jun 28, 2024
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Labels
enhancement New feature or request flytekit FlyteKit Python related issue good first issue Good for newcomers scipy-2023 stale
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