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  "title": "[Core] Freeze gc during cuda graph capture to speed up init",
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  "debrief": "OpenAI Codex, working in vllm-project/vllm, took on a performance task: freeze the garbage collector during CUDA graph capture to shorten engine initialization. The change touched 321 files across six commits. Nine reviews were filed, including one change request and four review comments. The pull request was merged after rework, 146.21 hours after opening.",
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  "body_excerpt": "## Summary\nSpeed up cudagraph capture loops by calling `gc.freeze` before capture. This speeds up cudagraph capture a huge amount, especially for small models. Qwen3-0.6B goes from 35s to 2s.\nFor the \"proper\" approach we should possible use https://github.com/pytorch/pytorch/pull/158193 in a future ",
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  "reviewer_excerpt": "While I agree that maybe we need to do `gc.collect` only once for the entire graphs (rather than once per graph), I think a more",
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