Fix CloudML Benchmarks Dataflow job

[Amar3tto]

Fixes #36181
Successful run: https://github.com/apache/beam/actions/runs/17979979013/job/51143130603

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[gemini-code-assist]

Summary of Changes

Hello @Amar3tto, 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 addresses a critical issue preventing the CloudML Benchmarks Dataflow job from completing successfully. By introducing the necessary dill dependency, the change ensures the stability and proper functioning of these important benchmarks, allowing for reliable performance evaluation within the CloudML environment.

Highlights

• Dependency Fix: The dill package has been added to the requirements.txt file for the CloudML benchmarks, addressing a missing dependency issue.
• Benchmark Stability: This change resolves a failure in the CloudML Benchmarks Dataflow job, ensuring its successful execution as confirmed by a provided successful run link.

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[github-actions]

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R: @jrmccluskey for label python.

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[damccorm]

Interesting - I see that this does indeed cause the correct test set to run, and avoids

beam/sdks/python/apache_beam/examples/ml_transform/ml_transform_it_test.py

Line 34 in b8f0d5f

raise unittest.SkipTest('tensorflow_transform is not installed.')

Do you know which import in that block requires dill?

[claudevdm]

tensorflow-transform actually requires dill (but doesnt specify in its setup.py). It was always transitively included via apache-beam. See tensorflow/transform#345

[damccorm]

Got it, thanks - missed that this was the same issue

[damccorm]

Thanks