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[ROCm][Kimi-K3] Support MoRIIO consumers with specialized decode - #63031
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shen-shanshan merged 8 commits intoOct 23, 2026
Merged
shen-shanshan merged 8 commits into
shen-shanshan merged 8 commits into
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Allow the built-in MoRIIO consumer in READ and WRITE modes. Reuse the existing transfer completion guarantees, and keep other connectors and producer-side specialized execution unsupported. Add configuration coverage and document the supported deployment. Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
YukioZzz
requested review from
AndreasKaratzas,
DarkLight1337,
dllehr-amd,
hongxiayang,
tjtanaa and
ywang96
as code owners
October 22, 2026 04:19
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Documentation preview: https://vllm--63031.org.readthedocs.build/en/63031/ |
6 of 11 tasks
Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
Assisted-by: OpenAI Codex Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
Comment on lines
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| ( | ||
| not supports_kv_transfer(vllm_config.kv_transfer_config), | ||
| "KV transfer connectors other than a MoRIIO consumer", | ||
| ), |
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When kv_transfer_config is None (which means kv transfer is not enabled), supports_kv_transfer will return true, which is misleading and unclear. Can you directly enumerate the rejected cases for the bad part?
Assisted-by: OpenAI Codex Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
shen-shanshan
approved these changes
Oct 22, 2026
Contributor
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/ci run |
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✅ Triggered Buildkite CI #96637 for commit |
Set the multiprocessing backend explicitly for configuration-only coverage on single-GPU CI workers. Assisted-by: OpenAI Codex Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
Keep CUDA K3 config construction from enabling breakable graphs for subsequent tests. Use monkeypatch to restore the original environment. Assisted-by: OpenAI Codex Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com>
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✅ @YukioZzz, CI is now available for this PR.
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Contributor
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/ci run |
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✅ Triggered Buildkite CI #96779 for commit |
seungrokj
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Oct 26, 2026
Resolve the test_runtime.py conflict with vllm-project#63031 (MoRIIO consumers): keep the DCP 2 / 4 refusal cases, take the KVTransferConfig refusal case. Pin supported_vllm_config to a served DCP1 step (max_num_seqs 1, fp8 KV cache), which the (max_num_seqs, k) refusal now requires. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: seungrokj <seungrok.jung@amd.com>
bantianyue
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Oct 28, 2026
…m-project#63031) Signed-off-by: Yichao Zhu <Yichao.Zhu@amd.com> Co-authored-by: Shanshan Shen <467638484@qq.com>
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Overview
Enable Kimi-K3 specialized decode with MoRIIO READ/WRITE on the decode node, extending #60683 to P/D serving.
Claims
decode_backend=auto.Validation
48 and 40 tests passed. The four READ/WRITE × RDMA/xGMI acceptance cases fail without this change and pass with it.
Two-node MI355X, real Kimi-K3/DSpark weights, TP8/DCP8, K7, FULL decode graphs:
k3_mono_kda_pre_s8andk3_mono_k2_s8.This is a short functional check. xGMI has configuration coverage only. Two-node serving was tested locally because CI provides one eight-GPU node.
Details
Specialized layers skip per-layer transfer hooks. MoRIIO READ loads finish before forward (#60808); WRITE receives finish before scheduler admission. This PR enables that consumer path and leaves other connector configurations unchanged.
No overlapping open PR was found.
Pull Request Checklist
I used vLLM's
/pr-checklistskill. (Mandatory for agents, optional for humans).AI assistance was used during the creation of this PR.
Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.
Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.
Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.
Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.
BEFORE SUBMITTING, PLEASE READ https://docs.vllm.ai/en/latest/contributing