Upgrade TFX stack to 1.21.x and remove numpy/pandas bounds

[shunping]

• Upgraded tensorflow_transform, tensorflow-metadata, and tfx-bsl to >=1.21.0,<1.22.0 in mltransform_generate_vocab_requirements.txt, and removed the numpy<2 and pandas<2 upper bounds.
• Appended the unique ${{env.NOW_UTC}} timestamp to both --artifact_location and --output_vocab arguments in the "run MLTransform Generate Vocab Batch workflow" step to prevent concurrent runs from failing due to folder overwrite restrictions in GCS.

See #38782 (comment) for more details.

fixes #38782

[gemini-code-assist]

Summary of Changes

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This pull request updates the TFX stack dependencies to version 1.21.x within the ML Transform example requirements to align with current release standards and removes restrictive version bounds on numpy and pandas to resolve potential compatibility issues.

Highlights

• TFX Stack Upgrade: Upgraded tensorflow_transform, tensorflow-metadata, and tfx-bsl dependencies from version 1.14.x to 1.21.x.
• Dependency Constraint Removal: Removed explicit version bounds for numpy and pandas to improve dependency flexibility.

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[gemini-code-assist]

Code Review

This pull request updates the dependency requirements in mltransform_generate_vocab_requirements.txt by upgrading tensorflow_transform, tensorflow-metadata, and tfx-bsl to the >=1.21.0,<1.22.0 range, and removing the constraints on numpy and pandas. There are no review comments, and I have no additional feedback to provide.

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[github-actions]

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R: @damccorm for label python.

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[Amar3tto]

Can we also add this?

[shunping]

Rerunning the failed workflow: https://github.com/apache/beam/actions/runs/28448359077