[Testing] Set VLLM_WORKER_MULTIPROC_METHOD for e2e testing

[dsikka]

SUMMARY:

• Set VLLM_WORKER_MULTIPROC_METHOD fo e2e vllm testing, as per RuntimeError: Cannot re-initialize CUDA in forked subprocess when initializing vLLM with tensor parallelism vllm#14535 (comment)
• With that, our e2e is green: https://github.com/neuralmagic/llm-compressor-testing/actions/runs/15739077015/job/44359835739

[github-actions]

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[gemini-code-assist]

Summary of Changes

Hello @dsikka, 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 specific environment variable setting within an existing end-to-end test script. The purpose is to ensure proper behavior and compatibility for the vLLM library's multiprocessing capabilities when running tests, likely addressing stability or execution issues in the test environment.

Highlights

• Testing Environment Configuration: Configured the VLLM_WORKER_MULTIPROC_METHOD environment variable to 'spawn' within the end-to-end test suite for vLLM.

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[gemini-code-assist]

Code Review

This pull request adds a single line to set the VLLM_WORKER_MULTIPROC_METHOD environment variable to spawn in the test_vllm.py file. This change likely addresses multiprocessing compatibility issues when running the vLLM tests. A minor suggestion is provided regarding the scope of setting environment variables in test files for improved maintainability.