Fix pytorch sentiment device arg

[aIbrahiim]

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Summary of Changes

Hello, 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 improves the robustness and flexibility of the PyTorch sentiment analysis example within Apache Beam. By parameterizing the device selection and refining the job cancellation lifecycle, the changes ensure more reliable execution and cleanup in automated testing environments. Additionally, the update to argument handling streamlines integration with standard load testing tools.

Highlights

• Device Configuration: Added a configurable --device argument to the PyTorch sentiment example, allowing users to specify CPU or GPU instead of hardcoding it.
• Dataflow Lifecycle Management: Introduced a helper function to poll for terminal job states, ensuring Dataflow jobs are fully cancelled before proceeding with resource cleanup.
• Argument Flexibility: Updated argument parsing to support both --input and --input_file, improving compatibility with existing load test infrastructure.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 56.81%. Comparing base (a1f260b) to head (1d9bde7).
⚠️ Report is 19 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff              @@
##             master   #38143      +/-   ##
============================================
- Coverage     56.89%   56.81%   -0.08%     
  Complexity     3428     3428              
============================================
  Files          1178     1182       +4     
  Lines        187520   188463     +943     
  Branches       3593     3593              
============================================
+ Hits         106692   107081     +389     
- Misses        77434    77988     +554     
  Partials       3394     3394              

Flag	Coverage Δ
python	79.62% <ø> (-0.47%)	⬇️

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