cute-dsl

CuTe DSL reference — NVIDIA's CUTLASS Python DSL. Use whenever writing or debugging a CuTe DSL kernel — covers the `@cute.kernel` + `@cute.jit` + `.launch()` host pattern, `from_dlpack` tensor conversion, API-probing against the installed wheel, the launch-kwarg table, and the well-known graph-capture pitfall (CuTe's TVM-FFI stream binding does NOT pick up CUDA-graph capture mode — flashinfer-bench issue 414).

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Repositorio: TongmingLAIC/AKO4X
Última actividad en el origen: 31 de mayo de 2026 a las 08:57
Idioma detectado de SKILL.md: inglés
Estrellas: 67
Forks: 12

Opciones de instalación

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npx skills add https://github.com/TongmingLAIC/AKO4X --skill cute-dsl

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SKILL.md

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bench

Run performance benchmarks to get a verdict on whether a kernel change actually helped. Use --ab-compare for sub-1x deltas (drift cancels in same container), --variance-check for noise floor, and the subset modes (--first, --smoke; --extremes is modal-backend only) for compile-correctness probes only — those are NOT performance verdicts. The only authoritative source for "is this change real". Benchmark specifics (config.toml schema, status enum, scoring formula, baseline rule, fresh-inputs contract) live in the `benchmark` skill.

2026-05-31

benchmark

Reference for the active benchmark harness — what it IS and how it behaves (the active benchmark is flashinfer-bench). Covers config.toml structure (`[solution]`/`[build]`/`[benchmark]` tables), the status enum, the workload / fresh-inputs model, reference-baseline + scoring mechanics, tolerance keys, TVM-FFI builder link limits, and the silent-skip cascade. Invoke whenever you decode a bench status string, hit an unfamiliar config.toml field, suspect "correctness passed but the headline is implausible", or need to know what's frozen before proposing a bench edit — do NOT guess field or status semantics. Bench commands and noise methodology (A/B compare, variance check, drift cancellation) live in the `bench` skill.

2026-05-31

cpp

Host-side C++ kernels (`[build].language = cpp`) — the `solution/{kernel.cpp, binding.py}` two-file TVM-FFI binding pattern, and when to reach for it (host-side orchestration of a kernel you write, or composing CUTLASS headers into it). Distinct from the `cuda` skill which covers `.cu` device kernels compiled by nvcc. Use when writing a host-side C++ kernel or deciding cpp-vs-cuda.

2026-05-31

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name

cute-dsl

description

CuTe DSL

Reference for CuTe DSL kernel writers. Detailed guide: cute-dsl.md.

When to consult

Writing a kernel via @cute.kernel.launch() decorators.
Selecting layout / tile algebra primitives for matmul or reduction.
Resolving silent kernel-skip under CUDA graph capture (the second-order gotcha — TVM-FFI stream binding does not capture; see cute-dsl.md "Second-order gotcha").

COUPLED references

None directly to runtime. Per-operator CuTe wins / traps live under docs/prior/ (when your operator has a prior archive) — notably the dsa-sparse-attention archive for graph-capture interactions.

cute-dsl

Datos de origen

Opciones de instalación

Revisa los archivos de origen

Más de este repositorio

Más de este repositorio

CuTe DSL

When to consult

COUPLED references

CuTe DSL

When to consult

COUPLED references