feat(operator):support Cuda-AddRmsNorm-operator.#635
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pengcheng888
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Jun 3, 2026
| // Also consider the same change for `RmsNorm`. | ||
| AddRmsNorm(const Tensor input, const Tensor other, const Tensor weight, | ||
| float eps, Tensor out, Tensor rstd_out) | ||
| AddRmsNorm(Tensor residual, const Tensor input, const Tensor other, |
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main分支已经有了AddRmsNorm的接口,移植InfiniCore时,有了接口的修改。 是否修改,明天再讨论
pengcheng888
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Jun 3, 2026
| @@ -1,3 +1,5 @@ | |||
| third_party | |||
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我调试时额外加的third_party/目录,不合适的话,回来删掉
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Summary
Add a native CUDA AddRmsNorm implementation for NVIDIA GPUs. The operator fuses input + residual, writes the sum to residual_out, and writes the weighted RMS-normalized result to out.
This PR updates the AddRmsNorm base API to (input, residual, weight, eps, out, residual_out), adds shape/dtype/last-dim stride validation, and introduces CUDA kernel plus NVIDIA backend wiring. It also adds pytest coverage (including strided layouts and fp32/fp16/bf16) with a vLLM-aligned PyTorch reference.

Motivation
support Cuda-AddRmsNorm-operator for Infinicore.
Type of Change
feat— new feature / new operator / new platformfix— bug fixperf— performance improvement (no behavioral change)refactor— code restructuring without behavior changetest— adding or fixing tests onlydocs— documentation onlybuild/ci— build system or CI configurationchore— tooling, formatting, or other non-code changes!in the Conventional Commits prefix or aBREAKING CHANGE:footer)Platforms Affected
WITH_CPU)WITH_NVIDIA)WITH_ILUVATAR)WITH_METAX)WITH_CAMBRICON)WITH_MOORE)WITH_ASCEND)WITH_TORCH)Test Results on Supported Platforms
pytestResultFull `pytest` output (optional)
Benchmark / Performance Impact
Notes for Reviewers
Checklist
Title, Branch, and Commits
feat(nvidia): …,fix(cuda/gemm): …).<type>/xxx-yyyy-zzzzwhere<type>matches the PR title's Conventional Commits type and words are joined with hyphens (seeCONTRIBUTING.md§Branches).CONTRIBUTING.md§Pull Requests).master— the branch is rebased cleanly on top of the currentmaster.fixup!/squash!/wipcommits remain.Scope and Design
CONTRIBUTING.md§Code/General).printf/std::cout/print(...)left behind, orTODOwithout an owner and issue link.General Code Hygiene (applies to all languages)
CONTRIBUTING.md§Code/General).CONTRIBUTING.md§Code/General).the `seqlens_k` tensor) (CONTRIBUTING.md§Code/General).CONTRIBUTING.md§Code/General).CONTRIBUTING.md§Code/General; §Python).C++ Specific (if C++ files changed)
clang-format(version 21, per.github/workflows/clang-format.yml) has been run against all modified.h,.cc,.cuh, and.mlufiles; the diff is clean.clang-tidyconcerns (per.clang-tidy) have been reviewed — no new warnings beyond the existing baseline.CONTRIBUTING.md§C++).assertwith messages that include at least__FILE__,__LINE__, and__func__(CONTRIBUTING.md§C++).CONTRIBUTING.md§C++).kernel/kernel_v2/ …; well-known algorithms use the algorithm name; library-based implementations use the library name (CONTRIBUTING.md§C++)..h, kernel follows platform conventions (e.g..cuh+.cu) even when non-templated (CONTRIBUTING.md§C++).CONTRIBUTING.md§C++).CONTRIBUTING.md§C++).CONTRIBUTING.md§C++).CONTRIBUTING.md§C++).src/base/<op>.h(inheritingOperator<Op>) with platform implementations undersrc/<category>/<platform>/inheriting the base (CONTRIBUTING.md§Adding an Operator).new/delete; RAII / smart pointers / existing allocators are used.Python Specific (if Python files changed)
ruff checkpasses cleanly on CI (see.github/workflows/ruff.yml).ruff format --checkpasses cleanly — if not, runruff formatand commit the result.CONTRIBUTING.md§Python).pytest.skipmessages without terminal period) are honored where applicable (CONTRIBUTING.md§Python).CONTRIBUTING.md§Python).if,for, and similar control-flow statements (CONTRIBUTING.md§Python).return, except when it directly follows a control-flow statement (CONTRIBUTING.md§Python).CONTRIBUTING.md§Python).Testing
pytestwas run locally on every supported platform that this PR can affect, and the results are recorded in the "Test Results" table above (CONTRIBUTING.md§Pull Requests).tests/followingtests/test_add.py/tests/test_gemm.pypatterns (CONTRIBUTING.md§Adding an Operator).pytest.mark.parametrizecorrectly: dependent parameters share one decorator (e.g.@pytest.mark.parametrize("dtype, rtol, atol", …)), independent parameters use separate decorators ordered by parameter declaration.pytest.mark.auto_act_and_assertis used and the test returns aPayloadwhosefuncandrefshare the same calling convention.dtype/deviceparameterization is relied on, or overridden with an explicitpytest.mark.parametrizewhen necessary.pytest -n 1.masterand passes with this PR.Build, CI, and Tooling
pip install .[dev]on at least one affected platform.compile_commands.jsonstill regenerates (CMake optionCMAKE_EXPORT_COMPILE_COMMANDS=ONinpyproject.toml— required by thecode-lintskill andclang-tidy -p).CMakeLists.txtunderif(AUTO_DETECT_DEVICES)and toif(AUTO_DETECT_BACKENDS)if applicable.CMakeLists.txtis not broken.clang-format.yml,ruff.yml) are green locally (or expected to be green on CI).pyproject.toml's[project.optional-dependencies](or justified in the PR description).Documentation
README.md,CONTRIBUTING.md, or inline docs updated when behavior, build flags, or developer workflow changed.CONTRIBUTING.md§Some Code Explanations).!orBREAKING CHANGE:footer.Security and Safety