Add dill dep where tensorflow-transform is used.

[claudevdm]

tensorflow-transform has a hard dependency on dill but does not specify it in setup.py. It used to be included transitively by depending on apache-beam, but apache-beam no longer has a hard dependency on dill.

This adds dill as a dep temporarily where tensorflow-transform is used until tensorflow/transform#345 is released

#32603

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Summary of Changes

Hello @claudevdm, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a crucial dependency fix by explicitly adding the dill package to the project's setup.py where tensorflow-transform is utilized. This resolves a runtime issue stemming from tensorflow-transform's undeclared dependency on dill, which was previously satisfied transitively through apache-beam. With apache-beam no longer including dill, this change ensures the continued functionality of tensorflow-transform components until an upstream fix is released.

Highlights

• Dependency Management: Explicitly adds 'dill' as a dependency in sdks/python/setup.py for components utilizing tensorflow-transform.
• Resolving Missing Dependency: Addresses an issue where tensorflow-transform implicitly relies on dill but does not declare it, which became problematic after apache-beam removed its transitive dill dependency.
• Temporary Fix: This change is a temporary workaround until the tensorflow-transform project officially includes dill in its own setup.py.

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[claudevdm]

R: @liferoad

[github-actions]

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