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
- Kernel organization
- Choose the owner
- Register the public entry point
- Place and preserve tests
- 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.
More agent context in sgl-project/sglang
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- debug-cuda-crash.agents/skills/debug-cuda-crash/SKILL.md
- debug-distributed-hang.agents/skills/debug-distributed-hang/SKILL.md
- env-var-conventions.agents/skills/env-var-conventions/SKILL.md
- generate-profile.agents/skills/generate-profile/SKILL.md
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- llm-torch-profiler-analysis.agents/skills/llm-torch-profiler-analysis/SKILL.md
- mechanical-refactor-verify.agents/skills/mechanical-refactor-verify/SKILL.md
- processor-model-parity.agents/skills/processor-model-parity/SKILL.md
- scripted-runtime-notes.agents/skills/scripted-runtime-notes/SKILL.md
- sglang-bisect-ci-regression.agents/skills/sglang-bisect-ci-regression/SKILL.md
- sglang-cherrypick.agents/skills/sglang-cherrypick/SKILL.md
- sglang-prod-incident-triage.agents/skills/sglang-prod-incident-triage/SKILL.md
- sglang-runtime-context.agents/skills/sglang-runtime-context/SKILL.md
- speculative-naming.agents/skills/speculative-naming/SKILL.md
- write-sglang-test.agents/skills/write-sglang-test/SKILL.md
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