[MiniMax-M3] Retune decode indexer launch grid for occupancy - #49229
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…oject#130) Signed-off-by: Zijing Liu <liuzijing2014@gmail.com> (cherry picked from commit 8b00f41) Assisted-by: OpenAI Codex
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Cap score chunks by the existing page bound without discarding useful parallelism. Bound partial top-k chunks by twice the padded selection width so short contexts avoid excessive partial results and merge work. Keep the existing occupancy targets and graph-safe shape inputs. Extend decode correctness coverage to 9- and 65-page bounds, including padded and speculative query layouts. This is a measured follow-up to the owner grid policy in PR vllm-project#49229; its author's branch is unchanged. Co-authored-by: OpenAI Codex (gpt-6-astra, xhigh) <noreply@openai.com> Signed-off-by: venkywonka <23023424+venkywonka@users.noreply.github.com>
Purpose
Cherry-pick public vLLM commit
8b00f41to retune the MiniMax-M3 decode indexer launch grids:TARGET_GRID: 512 → 4096TOPK_TARGET_GRID: 64 → 512While testing MiniMax-M3 on B300-agg with TP4 at concurrency 24 using a large agentic benchmark client, I observed total throughput improve from 26.5K to 38.2K TPS/GPU (+44%) and mean ITL improve from 38.2 ms to 26.0 ms (-32%). The larger grids expose more parallel work for the decode indexer on high-SM-count GPUs.
Duplicate check: searches for open PRs mentioning the MiniMax-M3 decode indexer,
TARGET_GRID, or MiniMax occupancy found no matching change. The referenced commit is not in upstreammainat the time of opening.AI assistance disclosure: OpenAI Codex assisted with the cherry-pick, duplicate checks, validation command, and PR description.
Test Plan
Test Result
.venv/bin/pre-commit run --files vllm/models/minimax_m3/common/ops/index_topk.py: passed.