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[None][feat] Add SiTU support to Rubin FC12 MoE backend - #19468

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Description

PR #18357 added the Rubin FC12 MoE backend, but its fused epilogue supports only SwiGLU. Kimi K3 uses SiTU, so the resolver cannot select FC12 for those MoE layers.

This change:

  • specializes the FC12 epilogue for SwiGLU or SiTU;
  • passes the SiTU softcaps through the backend and custom op;
  • includes the activation and softcaps in the compiled-kernel and outer-autotuner identities; and
  • rejects missing, non-positive, NaN, and infinite SiTU softcaps before kernel execution.

Existing SwiGLU and clamp behavior remains supported. Setting a workload identity now makes FC12 preparation prime both fused tile sizes before the outer CUDA Graph capture; this applies to SwiGLU as well as SiTU. The Rubin and Blackwell packed SiTU epilogues cross-reference each other for future numerical fixes. The Kimi K3 deployment guide lists SM107 CUTEDSL_FC12 NVFP4 routed-expert SwiGLU/SiTU kernel support separately from full-model deployment support. The MoE developer guide also lists FC12 SwiGLU/SiTU support.

Test Coverage

Added tests cover:

  • FC12 activation selection and rejection of unsupported activations;
  • positive, finite SiTU softcaps at both the Kimi configuration and Rubin kernel constructors;
  • uniform scalar softcaps, with separate gate and linear nonuniform rejection cases;
  • compiled-kernel and autotuner cache-key separation by activation and softcaps;
  • FC12 preparation behavior and existing SwiGLU clamp behavior; and
  • a Rubin-only real FC12 SiTU comparison with CUDA Graph replay and a plain-SwiGLU negative reference.

Four GPU-free FC12 test functions are individually registered in l0_b200.yml. The CPU-only test_fc12_pinned_activation_support is covered by the unittest/_torch/moe entry in l0_cpu.yml.

Validation:

  • Local Python syntax checks, test-list validation, all applicable pre-commit hooks, and DCO passed on the FC12 implementation head 2d5df31decaab2ec8b50e3ceaf4ba3121c6899fc after merging main 1ab9f5525e4a7b0f1271fe2c5fd01a4dac7cc7c8.
  • L0 #63206 exposed a test-list routing error: the B200 lane deselected both cpu_only pinned-activation cases. The current head 867958b35c77347bd0f1fe44a32b84155396a9d7 changes only that test-list entry; YAML parsing, test-list checks, git diff --check, local pre-commit, and DCO passed. CPU-lane execution and full CI rerun on this head are pending.
  • Hecate Rubin SM107 (batch-xdr): build job 714750 on hecate0162 and focused validation job 715078 on hecate0026 both COMPLETED 0:0 at head 2d5df31decaab2ec8b50e3ceaf4ba3121c6899fc, with libtensorrt_llm.so SHA256 e33047eb2351e2f6e56a8d70b67a93c4c45584edac0bcc9fdf347e64b945e2c6. FC12 identity 4 passed, backend contracts 17 passed / 10 skipped, SiTU beta validation 12 passed, and the real FC12 SiTU/CUDA Graph test passed.
  • Real FC12 SiTU vs dequantized-weight SiTU reference: cosine 0.986636, relative L2 0.163448 (existing bound <0.20), |k|/|ref|=0.999502. Its incorrect plain-SwiGLU reference scores cosine 0.983305, relative L2 0.210543.
  • Same-input, same-quantized-weight SwiGLU control: FC12 and two-op CUTEDSL each score cosine 0.986727, relative L2 0.162821, |k|/|ref|=0.998570; FC12 vs two-op scores cosine 1.000000, relative L2 0.000000 to six printed decimals. The diagnostic uses the current production Rubin finalize call; no product code or numerical threshold was changed.

PR Checklist

Please review the following before submitting your PR:

  • PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

  • PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

  • Test cases are provided for new code paths (see test instructions)

  • If PR introduces API changes, an appropriate PR label is added - either api-compatible or api-breaking. For api-breaking, include BREAKING in the PR title.

  • Any new dependencies have been scanned for license and vulnerabilities

  • CODEOWNERS updated if ownership changes

  • Documentation updated as needed

  • Update tava architecture diagram if there is a significant design change in PR.

  • The reviewers assigned automatically/manually are appropriate for the PR.

  • Please check this after reviewing the above items as appropriate for this PR.

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@xguannv
xguannv force-pushed the user/xguan/fc12-situ-main branch 2 times, most recently from 51ec5e4 to 10313e1 Compare September 21, 2026 05:05
Signed-off-by: Xin Guan <294044352+xguannv@users.noreply.github.com>
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xguannv force-pushed the user/xguan/fc12-situ-main branch from 10313e1 to 666fc3a Compare September 21, 2026 05:53
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xguannv marked this pull request as ready for review September 21, 2026 07:54
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xguannv requested review from a team as code owners September 21, 2026 07:54
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xguannv commented Sep 21, 2026

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📒 Files selected for processing (2)
  • tensorrt_llm/_torch/models/modeling_kimi_linear.py
  • tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py
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  • tensorrt_llm/_torch/models/modeling_kimi_linear.py
  • tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py

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Walkthrough

Rubin NVFP4 fused FC12 now supports SwiGLU and SiTU activation modes. Activation parameters flow through the public operator, runner, tactic keys, autotuner, and generated kernel. Backend selection and tests cover FC12 SiTU execution and degradation rules.

Changes

Rubin FC12 activation support

Layer / File(s) Summary
Operator parameter wiring
tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py
The fused operator and runner expose activation type and optional SiTU beta values. The values are stored, cached, and passed to the generated kernel.
Kernel activation validation and execution
tensorrt_llm/_torch/cute_dsl_kernels/rubin/moe/rubin_contiguous_grouped_blockscaled_gemm_fused_fc12.py
The kernel validates SwiGLU and SiTU configurations. It implements both epilogues and selects the configured path at trace time.
Backend preparation and autotuning
tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_fc12.py
The FC12 backend accepts both activation types, includes activation parameters in autotuning identity, prepares supported tiles, and forwards the configuration.
Backend selection and validation
tensorrt_llm/_torch/models/modeling_kimi_linear.py
The Kimi runtime recognizes CUTEDSL_FC12 as a SiTU backend and rejects degradation when the backend is unavailable.
Activation coverage and regression tests
tests/unittest/_torch/moe/*, tests/integration/test_lists/test-db/l0_b200.yml
Tests cover SiTU execution, activation resolution, invalid configurations, tuning-key separation, tile preparation, backend availability, CUDA Graph replay, and renamed integration coverage.

Priority: ➖ Normal

Estimated code review effort: 4 (Complex) | ~45 minutes

Change: Feature

Sequence Diagram(s)

sequenceDiagram
  participant TorchOperator
  participant FC12Runner
  participant Autotuner
  participant RubinKernel
  participant ActivationEpilogue
  TorchOperator->>FC12Runner: pass activation type and beta values
  FC12Runner->>Autotuner: identify configured workload
  FC12Runner->>RubinKernel: execute fused FC12
  RubinKernel->>ActivationEpilogue: dispatch SiTU or SwiGLU
  ActivationEpilogue-->>TorchOperator: return fused output
Loading
Merge Risk: 🔵 Low · up to 0f893

The FC12 SiTU validation tests do not cover nonuniform linear softcaps, so a regression could go undetected. This is a bounded follow-up risk.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage Warning Docstring coverage is 54.55% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 33 functions across 6 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Linked Issues check Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check Passed Check skipped because no linked issues were found for this pull request.
Title check Passed The title follows the required [None][feat] format and clearly identifies the main change: adding SiTU support to the Rubin FC12 MoE backend.
Description check Passed The description includes the required Description, Test Coverage, and PR Checklist sections. It clearly explains the motivation, implementation, tests, validation results, and remaining CI status.
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Actionable comments posted: 1


  • 🪄 Fix CodeRabbit comments on this PR
🤖 Prompt to fix review comments
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
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Inline comments:
In `@tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py`:
- Around line 1723-1726: Update the FC12 test’s skip condition to also require
the explicit MoED.CUTEDSL_RUBIN capability, while preserving the existing CUDA
and SM107 checks and skip reason.

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📒 Files selected for processing (7)
  • tensorrt_llm/_torch/custom_ops/cute_dsl_custom_ops.py
  • tensorrt_llm/_torch/cute_dsl_kernels/rubin/moe/rubin_contiguous_grouped_blockscaled_gemm_fused_fc12.py
  • tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_fc12.py
  • tests/integration/test_lists/test-db/l0_b200.yml
  • tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py
  • tests/unittest/_torch/moe/test_moe_backend.py
  • tests/unittest/_torch/moe/test_moe_impl.py

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Comment thread tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py Outdated
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PR_Github #74768 [ run ] triggered by Bot. Commit: 666fc3a Link to invocation

Signed-off-by: Xin Guan <294044352+xguannv@users.noreply.github.com>
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PR_Github #74768 [ run ] completed with state SUCCESS. Commit: 666fc3a
/LLM/main/L0_MergeRequest_PR pipeline #61545 completed with status: 'FAILURE'

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Blocked for Rubin 1.3 on two mechanical items.

Please update the FC12 SiTU test skip condition to require explicit MoED.CUTEDSL_RUBIN capability while retaining the CUDA/SM107 checks, then merge current main to resolve the conflict and rerun the focused Rubin backend/shape and real-kernel tests. The hardware results in the description are useful; once these two items are on the live head, this can return to review.

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One correctness guard must be fixed before re-review.

The FC12 SiTU test currently gates on CUDA and SM107 but not on the explicit MoED.CUTEDSL_RUBIN capability it exercises. Please add that capability requirement while preserving the existing architecture checks, then resolve the main conflict and rerun the focused Rubin backend/shape and real-kernel tests. This is required for this PR; otherwise unsupported configurations can enter a capability-specific test path.

@svc-trtllm-gh-bot svc-trtllm-gh-bot added the Community want to contribute PRs initiated from Community label Sep 21, 2026

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Approved on functionality; the bot’s remaining test-guard item is non-blocking.

The Rubin FC12 SiTU implementation has focused backend/shape coverage and reported real-kernel plus CUDA-graph validation. Adding MoED.CUTEDSL_RUBIN to the test skip condition is worthwhile test hygiene, but it does not invalidate the supported SM107 path. The branch still must resolve its main conflict before merge.

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Semantic conflict review

The verdict of record is the Semantic conflict with target branch / PR #19468 commit status on the requested head commit. This summary updates on reply events and may lag between a new request and its reply.

Latest recorded state: No semantic conflict found (best effort) for head 6de6759c94c1d127e5237dad9516688fc624db3f, target a81da8a5a8380c4ec8c2d3eafabb8cfc55d7ad56, merge base f7aeaef16348080a2d87fa80ee69f18936a78d93 (request 616fbb9f-70ed-463c-8468-8f571314b993). CodeRabbit analysis.

Best-effort AI judgment for the recorded revisions. PASS, FAIL and INCONCLUSIVE may be incomplete or incorrect. PR authors and reviewers should independently verify the evidence and relevant behavior. This semantic review and its status/workflow are advisory, not required merge checks under current repository rules; other merge requirements still apply. Advisory status does not make a confirmed defect safe to ignore.

Requested (UTC) Head Target Verdict Comment
2026-10-02T10:38:06Z 6de6759c94c1 a81da8a5a838 PASS reply
2026-10-02T02:48:25Z 6de6759c94c1 5ce4cb57cb8e PASS reply
2026-10-01T20:45:15Z 6de6759c94c1 80509acfc073 PASS reply
2026-10-01T12:52:00Z 6de6759c94c1 ee510fc85d39 PASS reply
2026-10-01T06:55:50Z 6de6759c94c1 0d3bbd257d35 PASS reply
2026-09-30T22:37:40Z 6de6759c94c1 fc2f8543e039 PASS reply
2026-09-30T16:40:06Z 6de6759c94c1 324a51deff2a PASS reply
2026-09-30T08:46:12Z 6de6759c94c1 7fe1dd2ba608 PASS reply
2026-09-30T01:16:04Z 6de6759c94c1 bdd012579f89 PASS reply
2026-09-29T16:43:09Z 6de6759c94c1 ae3531adf3ed PASS reply
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2026-09-29T02:47:24Z 6de6759c94c1 f08592ada02b PASS reply
2026-09-28T20:36:58Z 6de6759c94c1 7dfacfb583e2 PASS reply
2026-09-28T14:40:47Z 6de6759c94c1 0c58480ca680 PASS reply
2026-09-28T07:07:55Z 6de6759c94c1 f00e9627fa98 PASS reply

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…u-main

Signed-off-by: Xin Guan <294044352+xguannv@users.noreply.github.com>
Signed-off-by: Xin Guan <294044352+xguannv@users.noreply.github.com>
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/bot run --disable-fail-fast

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PR_Github #76648 [ run ] triggered by Bot. Commit: 2d5df31 Link to invocation

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PR_Github #76648 [ run ] completed with state SUCCESS. Commit: 2d5df31
/LLM/main/L0_MergeRequest_PR pipeline #63206 completed with status: 'FAILURE'

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/bot run --disable-fail-fast

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PR_Github #76868 [ run ] triggered by Bot. Commit: 867958b Link to invocation

Signed-off-by: Xin Guan <294044352+xguannv@users.noreply.github.com>
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/bot run --disable-fail-fast

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PR_Github #76868 [ run ] completed with state FAILURE. Commit: 867958b
/LLM/main/L0_MergeRequest_PR pipeline #63375 completed with status: 'FAILURE'

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PR_Github #76934 [ run ] completed with state SUCCESS. Commit: 755ccf6
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PR_Github #77185 [ run ] triggered by Bot. Commit: 755ccf6 Link to invocation

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PR_Github #77185 [ run ] completed with state SUCCESS. Commit: 755ccf6
/LLM/main/L0_MergeRequest_PR pipeline #63632 completed with status: 'FAILURE'

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