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[PP] Preload state-update kernels before warmup feedback - #3

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lucifer1004:pr/dspark-pp-ifbfrom
GirasoleY:fix/pp-preload-before-warmup-56956
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GirasoleY wants to merge 1 commit into
lucifer1004:pr/dspark-pp-ifbfrom
GirasoleY:fix/pp-preload-before-warmup-56956

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Load both PP state-update kernels before startup warmups can post feedback receives. This keeps normal PP communication active throughout warmup and removes PPHandler.disabled and its bypasses. Scratch counters and a negative request index preserve request state during the preload.

The preload runs independently of enable_jit_warmup, including --enforce-eager, which now disables optional JIT warmup. The worker retains one synthetic warmup trajectory.

This is a focused follow-up into the source branch of vllm-project#56956. Duplicate checks found no existing PR for this explicit-preload change. Production code changes total 15 insertions and 39 deletions.

Validation:

  • CPU tests: 26 passed, 28 CUDA-dependent tests skipped. Command: pytest tests/v1/worker/test_mixed_warmup_gate.py tests/v1/worker/test_gpu_model_runner_v2.py tests/v1/worker/test_pp_utils.py tests/v1/worker/test_gpu_warmup_blocks.py -q -p no:cacheprovider. Executed through pytest.main() in the existing Python 3.12 environment with PYTHONPATH=. PYTHONDONTWRITEBYTECODE=1 and a teardown-only torch.accelerator.empty_host_cache = lambda: None shim to avoid the known macOS cleanup crash.
  • A separate CPU probe of actual worker startup reaches both preloads with JIT warmup enabled, disabled, and eager mode enabled. Model work and GPU kernels are replaced by stand-ins in this probe.
  • All applicable pre-commit hooks, the mypy-3.12 manual hook, and git diff --check passed for the six changed files.

Full DSpark PP GPU startup and model evaluation have not been rerun on this branch. This is a draft pending that validation, including checking for other late kernel loads; it does not claim that preloading these two kernels covers every backend specialization.

AI assistance: prepared with OpenAI Codex from the previously reviewed preload prototype.

Load the computed-token and deferred PP-update kernels at worker startup,
before synthetic warmups can post feedback receives. Use scratch counters
and a negative request index to preserve request state, and keep the
preload independent of optional JIT warmup, including eager mode.

Keep PP feedback active through the existing warmup trajectory and remove
PPHandler's disabled state. Cover preload ordering and stage selection
with JIT warmup both enabled and disabled.

Co-authored-by: Codex <noreply@openai.com>
Signed-off-by: Summer Yang <girasoleyang@gmail.com>
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@GirasoleY
GirasoleY marked this pull request as ready for review September 23, 2026 07:25
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