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kernel-organization

sgl-project/sglang/.agents/skills/kernel-organization/SKILL.md

Apply the SGLang kernels RFC when adding, moving, splitting, or reviewing kernel APIs, registry metadata, kernel tests, benchmarks, and model-specific implementations. Use with add-jit-kernel, add-sgl-kernel, and write-sglang-test for placement and migration checks.

Skill37k starsChanged today

What's in it

  1. Kernel organization
  2. Choose the owner
  3. Register the public entry point
  4. Place and preserve tests
  5. Verify a migration
---
name: kernel-organization
description: Apply the SGLang kernels RFC when adding, moving, splitting, or reviewing kernel APIs, registry metadata, kernel tests, benchmarks, and model-specific implementations. Use with add-jit-kernel, add-sgl-kernel, and write-sglang-test for placement and migration checks.
---

# Kernel organization

Read `python/sglang/kernels/README.md` and `test/README.md` before choosing a
location. [RFC #29630](https://github.com/sgl-project/sglang/issues/29630)
establishes the namespace; subsequent migrations #32148 and #40922 clarify
logical grouping and remove the old `_jit_` filename prefix.

## Choose the owner

- Put callable SGLang kernel APIs under `sglang.kernels.ops.<group>`. Runtime
  and integration tests import from that namespace, including its submodules.
  The `sgl_kernel` wheel retains its own public API and packaging tests.
- Group by computation, not model or GPU: GEMM and GEMV in `gemm`, expert
  routing in `moe`, attention index selection in `attention`, sampling in
  `sampling`, normalization in `layernorm`. A quantized GEMM is still a GEMM;
  quantization alone belongs in `quantization`.
- Model-specific files/subpackages and tuning data are allowed **inside** a
  logical group. Do not add a model bundle or an implementation file directly
  under `ops/`. Propose a new logical group only for a distinct responsibility,
  and update `ops._GROUPS`, documentation, and tests together.
- Classify a fused operator by its complete contract. Do not split a fused
  kernel into separate launches just to separate norm, RoPE, or quantization.
  Split unrelated public entry points that happen to share a source file.
- Keep shared CUDA build/runtime infrastructure in `kernels/jit`; operator
  wrappers call it from their logical group. Keep process groups, communicator
  state, model dispatch, and buffer ownership in `srt`. K3-specific adapters in
  `srt/layers/communication/` need not pretend to be generic interfaces.

## Register the public entry point

Add lazy `KernelSpec` metadata in the owning group's `__init__.py`, or use the
existing `BaseFusedOp` registration when the operation has interchangeable
backends. Group imports must not import GPU implementations or compile kernels.

Use `<group>.<name>` for the op id and `module:callable` for the target. Preserve
existing backend dispatch and describe actual device/architecture restrictions
with `CapabilityRequirement`; JIT/AOT are not device types. Input shape/dtype
checks remain part of the entry point's contract. Registering a torch custom op
does not register it in the SGLang kernel inventory. Predicates, private JIT
factories, reference helpers, and runtime classes are not separate kernel APIs.

## Place and preserve tests

- Kernel numerical tests: `test/registered/kernels/ops/<group>/`.
- CI microbenchmarks: `test/registered/kernels/benchmark/<group>/`.
- Inventory/selector tests: `test/registered/unit/kernels/`.
- Runtime unit tests: `test/registered/unit/<subsystem>/`, following the tested
  runtime module. A CUDA allocation does not make a runtime test a kernel test.
- Non-CI smoke scripts and benchmarks: `test/manual/kernels/`; do not leave
  standalone test/benchmark entry points in production operator modules.
- Shared test helpers: `sglang.test.kernels`. Preserve vendored upstream trees
  and AOT wheel packaging boundaries instead of reorganizing them incidentally.

For a move/split, preserve assertions, parametrization, fixtures, platform skips,
execution entry points, and CI stages/runners. Apportion existing time estimates
across split files; do not duplicate the original budget for every output file
or silently drop a registration. Follow `write-sglang-test` for CI registration.

## Verify a migration

1. Search all runtime, test, benchmark, documentation, patch-string, and lazy
   registry references before deleting the old path. Check relative imports and
   package re-exports as well as direct imports. Do not leave forwarding shims.
2. Keep tuning files with the GEMM that loads them and preserve relative lookup
   behavior. Check wheel/package inclusion as well as source-tree execution.
3. Preserve module singleton state: every runtime caller must import the same
   new communication adapter, not a second copy of its buffer registry.
4. Separate relocation commits from semantic changes. Use
   `mechanical-refactor-verify` to reproduce moves, and compare test inventories
   and CI registration coverage before/after. Only delete an experimental path
   after checking its call sites, flags, source, and dedicated tests together.
5. Run the namespace/dispatch CPU tests, the registered-test validation hook,
   pre-commit, and relevant GPU tests when available. State exactly which GPU
   checks ran; import/AST checks do not prove numerical or performance parity.

Do not infer violations solely from a model name inside a group, a missing
`_jit_` prefix, use of a runtime utility, or absence of `BaseFusedOp` inheritance.

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