[xxi-nv]

Dev Engineer Review

CuteDSL grouped-GEMM now uses a shared CuteDslFusedMoEBase and separately registered NVFP4 and BF16 leaves with canonical identities. The implementations moved into cutedsl/; legacy module names remain as compatibility aliases. CUTEDSL resolution uses quantization-specific leaves. Partial identities can match across techniques and resolve by priority; full identities pin a specific implementation.

The refactor centralizes quantization-format validation and activation checks. It also changes routing-scale finalization, BF16 activation eligibility, empty micro-batch handling, and weight-creation validation. The NVFP4 async-quantization token cap and NVFP4_AWQ pre-quant scaling are reported as unchanged. The fused FC2 alpha path is enabled only when TRTLLM_MOE_FUSED_FC2_ALPHA is "1".

Verify format rejection, identity resolution, activation fallback, compatibility imports, async-quantization synchronization, locality-domain execution, and the fused FC2 alpha path. No current review findings were supplied, so review severity counts are unavailable. Reported CPU validation includes 294 passing test_moe_impl.py tests, 89 passing CPU-only test_moe_backend.py tests, and 8 passing CuteDSL async-quantization tests. One test_moe_impl.py failure was attributed to the local FlashInfer environment missing SSDCombined. GPU tests were not run locally.

QA Engineer Review

Modified tests cover implementation identities and resolution, activation rejection, backend selection, NVFP4 pre-quant scales, routing weights, empty micro-batches, async quantization, and DeepEP metadata. The CuteDSL kernel test removes count-native tile-plan boundary and clamping tests. The new test_cutedsl_nvfp4_pre_quant_scale_matches_cutlass test is listed in tests/integration/test_lists/test-db/l0_b200.yml. No manual-QA list change was reported. Coverage verdict: needs follow-up, because GPU tests were not run locally and the removed test cases may need coverage elsewhere.

Per-File QA Perspective

• .claude/skills/trtllm-moe-develop/SKILL.md — Adds grouped-GEMM leaf declaration and checkpoint quantization-format checks to the documented test checks.
• .claude/skills/trtllm-moe-develop/references/moe-canonical-code-examples.md — Updates source paths and documents the CuteDSL package layout.
• .pre-commit-config.yaml — Removes the old grouped-GEMM module from generated hook file lists.
• docs/source/blogs/tech_blog/blog24_MoE_as_Dense_GEMM.md — Updates the documented DenseGEMM source path.
• legacy-files.txt — Removes the old grouped-GEMM module from the legacy-file list.
• pyproject.toml — Stops excluding the old module from Ruff formatting.
• ruff-legacy-baseline.json — Removes the old module’s Ruff baseline entry; the baseline records two fewer violations across one fewer file.
• ruff-legacy.toml — Removes the old module from the Ruff file list.
• tensorrt_llm/_torch/locality_domain/policy.py — Changes a planner docstring only; no behavior change is reported.
• tensorrt_llm/_torch/models/modeling_kimi_linear.py — Updates backend names in a comment only.
• tensorrt_llm/_torch/moe/fused_moe/MOE_DEVELOPER_GUIDE.md — Documents package structure, leaf constraints, identity resolution, and activation eligibility.
• tensorrt_llm/_torch/moe/fused_moe/__init__.py — Exports grouped-GEMM leaves and lookup helpers.
• tensorrt_llm/_torch/moe/fused_moe/create_moe.py — Routes CuteDSL subclasses through the CuteDSL constructor path.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/__init__.py — Adds package exports for CuteDSL implementations and grouped-GEMM helpers.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/dense_gemm.py — Adds an NVFP4 DenseGEMM path; verify eligibility, weight transforms, and FC2 alpha scaling.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/fused_fc12.py — Adds a fused NVFP4 FC12 path; verify SM107 eligibility, routing constraints, and empty-input behavior.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/__init__.py — Adds quantization-aware leaf lookup and error reporting.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/base.py — Centralizes weight lifecycle, format validation, locality-domain planning, and output-memset handling.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/bf16.py — Adds the BF16 leaf; verify SM107 and activation eligibility, fused finalization, and empty-input behavior.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/eligibility.py — Adds shared eligibility checks and rejection ordering.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/nvfp4.py — Adds the NVFP4 leaf; verify async-quantization synchronization, DeepEP metadata checks, and locality-domain execution.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/identity.py — Defines canonical CuteDSL implementation identities.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/kernel_inputs.py — Adds shared NVFP4 weight, routing-scale, and input-quantization helpers.
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/runners.py — Adds NVFP4 and BF16 autotuning runners; verify tile tactics and nested tactic consistency.
• tensorrt_llm/_torch/moe/fused_moe/cutlass/base.py — Removes local format checks and subclass metadata copying; verify shared base contracts remain consistent.
• tensorrt_llm/_torch/moe/fused_moe/cutlass/fp8_block_scales_triton.py — Uses the shared activation eligibility helper.
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_b12x.py — Removes comments only.
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_fc12.py — Preserves the legacy FC12 name as an alias to the relocated implementation.
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_deepgemm.py — Removes comparison comments only.
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_densegemm.py — Preserves DenseGEMMFusedMoE as an alias to the relocated implementation.
• tensorrt_llm/_torch/moe/fused_moe/impl_base.py — Adds subclass descriptor metadata copying and shared quantization-format validation.
• tensorrt_llm/_torch/moe/fused_moe/impl_contract.py — Adds shared activation rejection helpers.
• tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_cute_dsl.py — Clarifies implementation identity in a docstring.
• tensorrt_llm/_torch/moe/fused_moe/moe_resolution.py — Registers grouped-GEMM leaves and uses shared activation checks.
• tensorrt_llm/_torch/moe/fused_moe/trtllm_gen/base.py — Removes local format-check logic while retaining the shared check call.
• tests/integration/test_lists/test-db/l0_b200.yml — Adds test_cutedsl_nvfp4_pre_quant_scale_matches_cutlass to the B200 CI list.
• tests/microbenchmarks/bench_moe/backend.py — Updates optional CuteDSL stubs and quantization-aware backend lookup.
• tests/unittest/_torch/models/test_qwen3_next_moe_quant.py — Expects the concrete NVFP4 grouped-GEMM leaf during backend selection. This unit test is not an integration test-list entry.
• tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py — Covers relocated implementations, quantization, eligibility, and empty inputs; removes count-native tile-plan boundary and clamping tests. This unit test is not an integration test-list entry.
• tests/unittest/_torch/moe/moe_test_utils.py — Uses grouped-GEMM leaf lookup for CUTEDSL test backend selection.
• tests/unittest/_torch/moe/test_kimi_k3_situ_moe.py — Updates SiTU support documentation in the test.
• tests/unittest/_torch/moe/test_moe_backend.py — Covers backend behavior, routing, empty batches, scale handling, DeepEP metadata, and SiTU resolution. Its pre-quant-scale comparison test is listed in l0_b200.yml.
• tests/unittest/_torch/moe/test_moe_impl.py — Adds identity, registry, resolution, and activation-fallback tests. This unit test is not an integration test-list entry.

Description

Problem. CuteDslFusedMoE served two formats — NVFP4 and unquantized BF16 — from one class that branched on has_nvfp4 / has_any_quant in construction, _get_quant_method, quantize_input, run_moe and the locality-domain weight split, and it carried an FP8 block-scale path no layer could reach. It owned no MoEImplId, so a CuteDSL grouped GEMM could not be pinned, and resolution reports could only name the class. This is the CuteDSL counterpart of #20741 (TRTLLM-14960), which did the same for the CUTLASS family.

Change. One abstract root and one registered leaf per format:

Class	Identity	Owns
CuteDslFusedMoEBase (abstract, unregistered; CuteDslFusedMoE stays as its alias)	—	construction, output-memset overlap stream, locality-domain plan, weight lifecycle
TrtllmCutedslGroupedGemmNvfp4Impl	trtllm.cutedsl.grouped_gemm.nvfp4	descriptor, can_implement, quant method, quantize_input(_async), run_moe
TrtllmCutedslGroupedGemmBf16Impl	trtllm.cutedsl.grouped_gemm.none	same, BF16 on SM107

• IMPL_PRIORITY and BACKEND_FAMILY["CUTEDSL"] list the two leaves in the slot the class held, so AUTO and the CUTEDSL literal select what they did before. cutedsl_grouped_gemm_leaf / find_cutedsl_grouped_gemm_leaf map a format to its leaf.
• Both leaves compose can_implement through check_grouped_gemm_leaf: identity → SM (SmSupport) → dtype (BF16_ONLY) → shared gates → the leaf's own.
• The CuteDSL implementations move into a package shaped like their ids, fused_moe/cutedsl/: grouped_gemm/ (base, eligibility, nvfp4, bf16), fused_fc12.py, dense_gemm.py, plus shared identity.py, kernel_inputs.py (NvFp4WeightView, quantize_input_nvfp4, finalize_routing_scales) and runners.py. fused_moe_cute_dsl.py, fused_moe_cute_dsl_fc12.py and fused_moe_densegemm.py now only define the old names, so existing imports keep working. Kernel-launch methods, runners and autotuner cache keys move unchanged.
• Shared MoE plumbing, so no family restates it: MoEImplBase.__init_subclass__ derives scheduler_kind / capabilities / input_requirement from a class's own descriptor (every class that publishes one already carried the same values), MoEImplBase._check_quant_config_is_my_format replaces three copies, and impl_contract.check_activation_support replaces the activation check that the BF16 leaf, the SM120 Triton leaf and resolution each spelled out.

Behavior changes reviewers should check:

1. create_weights refuses a layer whose final quant_config no longer matches the leaf it was resolved for, as the CUTLASS and TRTLLM-Gen leaves already do.
2. The unreachable FP8 block-scale path (run_moe_fp8_block_scales, the fp32 einsum reference GEMM) is deleted; can_implement already declined that format.
3. The BF16 leaf declares no activation constant. Its FC1 op fuses a plain SwiGLU and never read act_clamp, so a clamped BF16 SwiGLU layer used to resolve to it and run unclamped. It now leaves the CUTEDSL literal for TrtllmCutlassUnquantizedImpl (whose epilogue applies the clamp), and a pin on trtllm.cutedsl.grouped_gemm.none fails instead of running.
4. With apply_router_weight_on_input and no DeepEP / NCCL-EP communicator the scheduler passes token_final_scales=None; the grouped-GEMM leaves used to fail on it. They now hand the finalize unit scales (finalize_routing_scales, which the fused-FC12 leaf already did inline).
5. The dense-GEMM leaf returns an empty output for an empty micro-batch instead of failing in the scale-factor reshape / swizzle.
6. A partial impl_id such as grouped_gemm.nvfp4 now names both the CUTLASS and the CuteDSL grouped GEMM and resolves to the CuteDSL leaf by IMPL_PRIORITY (documented in the guide, pinned by a test). Pin the full id (trtllm.cutlass.grouped_gemm.nvfp4) to get CUTLASS.

The NVFP4_AWQ pre-quant scale (#20823) and the prefill token cap on async input quantization (#20779) are carried over unchanged into the new modules.

Test Coverage

CPU (l0_cpu collects unittest/_torch/moe):

• tests/unittest/_torch/moe/test_moe_impl.py — test_cutedsl_leaf_declarations, test_cutedsl_declarations_cover_every_leaf (one hand-written table of each leaf's format, SMs, capabilities and activation support, checked against the registry), test_cutedsl_literal_picks_the_leaf_that_publishes_the_format, test_pinned_cutedsl_grouped_gemm_identity_resolves_to_its_leaf, test_a_partial_grouped_gemm_pin_resolves_by_priority_across_techniques, test_cutedsl_bf16_leaf_declines_another_activation_when_asked_directly, test_a_clamped_bf16_swiglu_leaves_the_cutedsl_literal_for_cutlass_and_fails_a_pin; both leaves also join the existing format-moved, registry round-trip and SM100 degradation tests.
• tests/unittest/_torch/moe/test_moe_backend.py — test_cutedsl_finalize_weights_once_with_the_router_weight_on_the_input, test_cutedsl_nvfp4_scale_width_survives_an_empty_micro_batch, test_cutedsl_dense_gemm_returns_an_empty_output_for_an_empty_micro_batch, test_cutedsl_bf16_refuses_a_clamp_at_materialization; the existing AWQ quantize_input tests now run on the grouped-GEMM leaf.
• tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py — async input-quantization fallback and token-cap tests on the NVFP4 leaf, test_bf16_leaf_offers_no_async_input_quantization.

GPU:

• test_moe_backend.py::test_cutedsl_nvfp4_pre_quant_scale_matches_cutlass (Blackwell, added to l0_b200): the grouped-GEMM leaf matches CUTLASS and the reference on an NVFP4_AWQ layer, with a control that fails if the scale is dropped.
• The existing CuteDSL kernel and backend tests now construct the leaf they exercise.

Removed: test_count_native_tile_plan_* (they exercised only a helper defined in the test file), test_cutedsl_nvfp4_situ_admitted_on_blackwell_and_rubin (the NVFP4 can_implement has no activation gate; the declarations table and test_situ_survives_resolution_not_just_construction cover SiTU admission).

Verified locally: pre-commit; the CPU tests above in the CI image (test_moe_impl.py 294 passed, test_moe_backend.py -m cpu_only 89 passed, the CuteDSL async-quant tests 8 passed). One test_moe_impl.py case failed only because the local environment's flashinfer lacks SSDCombined; it is unrelated to this change. GPU tests were not run locally.

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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• tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py
• tests/unittest/_torch/moe/test_moe_backend.py

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Walkthrough

The pull request reorganizes CuTeDSL MoE implementations into kernel-specific modules. It adds grouped-GEMM NVFP4 and BF16 leaves, updates backend resolution and shared implementation contracts, and revises related tests, documentation, and tooling references.

Changes

CuTeDSL MoE backend

Layer / File(s)	Summary
Identity, contracts, and leaf resolution tensorrt_llm/_torch/moe/fused_moe/cutedsl/identity.py, cutedsl/grouped_gemm/*, impl_base.py, impl_contract.py, moe_resolution.py, cutlass/*, trtllm_gen/base.py, tests/unittest/_torch/moe/test_moe_impl.py	Adds grouped-GEMM identities, quantization-specific leaf lookup, and shared eligibility checks. MoEImplBase copies descriptor metadata from subclasses and centralizes layer-format validation. Resolution uses concrete grouped-GEMM leaves and shared activation-rejection handling.
Grouped-GEMM execution tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/*, cutedsl/kernel_inputs.py, cutedsl/runners.py, tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py, tests/unittest/_torch/moe/test_moe_backend.py	Adds BF16 and NVFP4 grouped-GEMM backends, shared locality-domain weight handling, and autotuning runners. The NVFP4 path supports asynchronous input quantization and direct expert metadata. Tests cover eligibility, routing, quantization, and execution behavior.
Dense-GEMM and fused-FC12 implementations tensorrt_llm/_torch/moe/fused_moe/cutedsl/dense_gemm.py, cutedsl/fused_fc12.py, fused_moe_densegemm.py, fused_moe_cute_dsl_fc12.py, tests/unittest/_torch/moe/test_moe_backend.py, tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py	Adds NVFP4 Dense-GEMM and SM107 fused-FC12 implementations in the CuTeDSL package. Existing module paths expose aliases to the relocated implementations. Tests cover empty inputs, router weighting, and fused-FC12 runner behavior.
Exports, integrations, and supporting updates tensorrt_llm/_torch/moe/fused_moe/__init__.py, create_moe.py, tests/microbenchmarks/bench_moe/backend.py, tests/unittest/_torch/moe/moe_test_utils.py, tensorrt_llm/_torch/moe/fused_moe/MOE_DEVELOPER_GUIDE.md, .claude/skills/trtllm-moe-develop/*, docs/source/blogs/tech_blog/blog24_MoE_as_Dense_GEMM.md, .pre-commit-config.yaml, pyproject.toml, ruff-legacy*	Updates package exports, constructor dispatch, benchmark and test lookup, documentation, and tooling lists for the reorganized CuTeDSL modules.

Priority: Normal

Estimated code review effort: 4 (Complex) | ~60 minutes

Change: Refactor

Suggested reviewers: schetlur-nv

Merge Risk: Minimal · up to 1fc15

The reported CPU-only test setup issue does not block the test. No actionable merge-blocking issue remains after normal checks.

Pre-merge checks: 4 · 1

Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 48.88% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 178 functions across 30 files.	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

Check name	Status	Explanation
Title check		The title clearly identifies the main change: assigning canonical identities to CuteDSL grouped-GEMM MoE implementations. It includes a valid ticket and type prefix and is concise.
Description check		The description is complete and on topic. It explains the problem, implementation, behavior changes, test coverage, known local test limitations, and checklist status.
Linked Issues check		Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.

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Inline comments:
Review comments at @tensorrt_llm/_torch/moe/fused_moe/cutedsl/dense_gemm.py:
- Around line 379-382: Update the note in the `DenseGemm` docstring to state
that `TRTLLM_MOE_FUSED_FC2_ALPHA` is disabled by default, and mention the known
accuracy issue under TP when the fused path is enabled. Preserve the existing
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Files selected for processing: 44

• .claude/skills/trtllm-moe-develop/SKILL.md
• .claude/skills/trtllm-moe-develop/references/moe-canonical-code-examples.md
• .pre-commit-config.yaml
• docs/source/blogs/tech_blog/blog24_MoE_as_Dense_GEMM.md
• legacy-files.txt
• pyproject.toml
• ruff-legacy-baseline.json
• ruff-legacy.toml
• tensorrt_llm/_torch/locality_domain/policy.py
• tensorrt_llm/_torch/models/modeling_kimi_linear.py
• tensorrt_llm/_torch/moe/fused_moe/MOE_DEVELOPER_GUIDE.md
• tensorrt_llm/_torch/moe/fused_moe/__init__.py
• tensorrt_llm/_torch/moe/fused_moe/create_moe.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/__init__.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/dense_gemm.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/fused_fc12.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/__init__.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/base.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/bf16.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/eligibility.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/grouped_gemm/nvfp4.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/identity.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/kernel_inputs.py
• tensorrt_llm/_torch/moe/fused_moe/cutedsl/runners.py
• tensorrt_llm/_torch/moe/fused_moe/cutlass/base.py
• tensorrt_llm/_torch/moe/fused_moe/cutlass/fp8_block_scales_triton.py
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl.py
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_b12x.py
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_fc12.py
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_deepgemm.py
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_densegemm.py
• tensorrt_llm/_torch/moe/fused_moe/impl_base.py
• tensorrt_llm/_torch/moe/fused_moe/impl_contract.py
• tensorrt_llm/_torch/moe/fused_moe/mega_moe/mega_moe_cute_dsl.py
• tensorrt_llm/_torch/moe/fused_moe/moe_resolution.py
• tensorrt_llm/_torch/moe/fused_moe/trtllm_gen/base.py
• tests/integration/test_lists/test-db/l0_b200.yml
• tests/microbenchmarks/bench_moe/backend.py
• tests/unittest/_torch/models/test_qwen3_next_moe_quant.py
• tests/unittest/_torch/moe/kernels/parallel/test_cute_dsl_moe.py
• tests/unittest/_torch/moe/moe_test_utils.py
• 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

Files with no reviewable changes: 7

• ruff-legacy.toml
• legacy-files.txt
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_deepgemm.py
• .pre-commit-config.yaml
• pyproject.toml
• tensorrt_llm/_torch/moe/fused_moe/fused_moe_cute_dsl_b12x.py
• tensorrt_llm/_torch/moe/fused_moe/trtllm_gen/base.py

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[QiJune]

LGTM

[sunnyqgg]

LGTM
Blocking (2):

1. Pre-commit is red on the merge ref: ruff F821 (undefined CuteDslFusedMoE) at tests/unittest/_torch/moe/test_moe_backend.py:773, in the test #20808 added (as BowenFu noted). Please rebase and point that test at TrtllmCutedslGroupedGemmNvfp4Impl.
2. The NVFP4 Relu2/SiTU eligibility tests are deleted rather than retargeted. Details inline.

[yuanjingx87]

Approved on infra perspective

[github-actions]

Automatically added "ci: full pre-merge approved" because this PR has satisfied the required GitHub review approvals. Unresolved review conversations and other required checks remain independent merge requirements.

[xxi-nv]

/bot run --disable-fail-fast

[tensorrt-cicd]

PR_Github #80572 [ run ] triggered by Bot. Commit: 1fc15f2 Link to invocation

[xxi-nv]

LGTM Blocking (2): 1. Pre-commit is red on the merge ref: ruff F821 (undefined CuteDslFusedMoE) at tests/unittest/_torch/moe/test_moe_backend.py:773, in the test #20808 added (as BowenFu noted). Please rebase and point that test at TrtllmCutedslGroupedGemmNvfp4Impl. 2. The NVFP4 Relu2/SiT…

@sunnyqgg Both are fixed on the current head 1fc15f2. The branch is rebased past #20808 and that commit points both scheduler tests at concrete leaves (TrtllmCutedslGroupedGemmNvfp4Impl / TrtllmCutlassNvfp4Impl) — needed beyond the F821, since the alias is now the abstract root and has no quantize_input_async at all — and pre-commit run --files over the whole diff is green, ruff included. The activation checks are retargeted rather than dropped: SiTU on SM100/SM103/SM107 and Relu2 are asserted against the NVFP4 leaf (the SiTU one now asserts verdict.eligible instead of just "not ACTIVATION_UNSUPPORTED"), the BF16 SwiGLU-only half moved to test_cutedsl_bf16_leaf_declines_another_activation_when_asked_directly, and test_cutedsl_leaf_declarations pins each leaf's admitted SM set and activation_support in the CPU pre-merge stage.

[tensorrt-cicd]

PR_Github #80572 [ run ] completed with state SUCCESS. Commit: 1fc15f2
/LLM/main/L0_MergeRequest_PR pipeline #66331 completed with status: 'FAILURE'

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[xxi-nv]

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[tensorrt-cicd]

PR_Github #80635 [ run ] triggered by Bot. Commit: 1fc15f2 Link to invocation

[tensorrt-cicd]

PR_Github #80635 [ run ] completed with state SUCCESS. Commit: 1fc15f2
/LLM/main/L0_MergeRequest_PR pipeline #66387 completed with status: 'SUCCESS'

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