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perf(rocm): fuse Kimi-K3 B1 pre-route projections - #9

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perf/kimi-k3-preroute-bf16-clean
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JohnQinAMD wants to merge 1 commit into
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perf/kimi-k3-preroute-bf16-clean

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@JohnQinAMD

@JohnQinAMD JohnQinAMD commented Jul 31, 2026

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Summary

Integrate the exact-BF16 AITER Kimi-K3 batch-one pre-route specialization
behind VLLM_ROCM_USE_KIMI_K3_PREROUTE_BF16=1.

The specialization computes the routed latent activation and shared-expert
output together. The existing MoE runner consumes the precomputed shared
output without repeating gate/up, SiTU, or down-projection work.

This PR depends on JohnQinAMD/aiter-amd#21.

Design

KimiK3PrerouteBf16.create_if_supported owns construction-time eligibility:
AITER on ROCm, FlyDSL on gfx950, latent MoE, TP8, shared experts, SiTU, and no
LoRA. Runtime tensor checks remain in AITER. Every unsupported configuration
uses the existing path.

SharedExperts.use_precomputed_output is a backend-neutral, one-shot ownership
boundary with per-DBO-microbatch slots, collision detection, and
exception-safe cleanup. Empty slots preserve ordinary shared-expert execution.

No checkpoint parameter is duplicated or re-registered. NVIDIA model code,
kernel dispatch, and runner selection are unchanged.

Performance

Kimi-K3 TP8, batch 1, 8K input / 1K output, no speculative decoding:

Stack Decode throughput Mean TPOT
Accepted control 60.9086 tok/s 16.4180 ms
Candidate, run 1 64.0798 tok/s
Candidate, run 2 64.4691 tok/s
Candidate mean 64.2744 tok/s 15.5584 ms

The candidate gains 5.53%, removes 0.8596 ms/token, and saves 184 launches per
token.

Accuracy and validation

  • Frozen GSM8K: 0.943139 accuracy, 0.001516 invalid rate over all 1,319
    questions; 5-shot, temperature 0, seed 42, concurrency 1.
  • Result SHA-256:
    dc402c40c86bd8dd863ff3dbbb26e2c6295151cca6a557027729a2e561b70dfc.
  • Focused tests in the pinned ROCm image: 5 passed.
  • gfx950 graph capture and replay passed.
  • Current-main changed-file pre-commit passed: Ruff, format, typos, Python 3.10
    mypy, SPDX, lazy/forbidden imports, configuration checks, and CUDA API guard.
  • git diff --check passed.

This clean replacement drops an unrelated stale latent-tail environment entry
that caused the original branch to conflict with current main. The optimization
diff and measured contract are unchanged.

Disclosure

Developed with assistance from OpenAI Codex. The author reviewed the code,
tests, numerical thresholds, and benchmark evidence.

Fuse the routed, shared gate-up, and shared down projections for the exact gfx950 batch-one contract, while preserving the existing path for every unsupported configuration.

Assisted-by: OpenAI Codex
Signed-off-by: Yanyuan Qin <yanyuan.qin@amd.com>
@JohnQinAMD JohnQinAMD added the ready Ready for CI label Jul 31, 2026
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