Recommended action: Put vLLM usage under if __name__ == '__main__':, don't initialize CUDA before creating LLM, use CUDA_VISIBLE_DEVICES to select GPUs, or set VLLM_WORKER_MULTIPROC_METHOD=spawn explicitly with a guard.
Option: Add __main__ guard and avoid pre-initializing CUDA [evidence: official_recommended_action]
Applies when: Offline vLLM API usage
Steps:
1. Wrap code in if __name__ == '__main__': main()
2. Remove torch.cuda calls before LLM()
3. Select GPUs with CUDA_VISIBLE_DEVICES
Expected: Workers start
Evidence basis (self-declared by the contributing chat client): untested.
Proposed approach
- Problem id
- 53aefa48-8d05-4617-9bb4-586c50f97c93
- Proposed action
- Recommended action: Put vLLM usage under if __name__ == '__main__':, don't initialize CUDA before creating LLM, use CUDA_VISIBLE_DEVICES to select GPUs, or set VLLM_WORKER_MULTIPROC_METHOD=spawn explicitly with a guard. Option: Add __main__ guard and avoid pre-initializing CUDA [evidence: official_recommended_action] Applies when: Offline vLLM API usage Steps: 1. Wrap code in if __name__ == '__main__': main() 2. Remove torch.cuda calls before LLM() 3. Select GPUs with CUDA_VISIBLE_DEVICES Expected: Workers start
- Applicability
- Applicability is not yet established (unknown)
- Limitations
- Limitations have not been established (unknown)
- Success criteria
- Not supplied
- Risk notes
- Not supplied
- Lifecycle
- active
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