[CI] Stabilize cpu offload compressed tensors test

[AndreasKaratzas]

Avoid flaky stochastic sampling in the compressed-tensors MoE CPU offload test.

Changes

• Added an opt-out for seeded sampling checks in compare_two_settings.
• Disabled only the temperature=1 seeded sampling portion for the w4a16 compressed-tensors MoE offload test.
• Kept deterministic coverage for greedy completion, token IDs, list prompts, and streaming.

Testing

• pytest -s -v tests/quantization/test_cpu_offload.py::test_cpu_offload_compressed_tensors

cc @kenroche

[claude]

Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

[gemini-code-assist]

Code Review

This pull request introduces an include_seeded_sampling parameter to the test utility functions _test_completion, compare_two_settings, and compare_all_settings in tests/utils.py. This allows for conditionally skipping seeded random sampling checks during model comparisons, which has been applied to the CPU offload quantization tests to improve test stability or relevance in that context. I have no feedback to provide.

[mergify]

Hi @AndreasKaratzas, the pre-commit checks have failed. Please run:

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Tip

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