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composable_kernel/rocm_ck/README.md
John Shumway 3e110e1718 [rocm-libraries] ROCm/rocm-libraries#7114 (commit ecef372)
[CK] Add rocm_ck foundation types: DataType, Layout, Args,
 Ops (#7114)
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## Summary

- Add the vocabulary types that all rocm_ck schema headers build on
- 9 new headers under `include/rocm_ck/`, 6 unit test files
- Pure C++20, host-only — no CK Tile dependencies

**Headers:**

| Header | Purpose |
|--------|---------|
| `index_t.hpp` | `index_t`, `long_index_t` (matches ck_tile) |
| `gpu_target.hpp` | `GpuTarget` enum (ISA targets) |
| `datatype.hpp` | `DataType` enum (17 variants) |
| `layout.hpp` | `Layout` enum (Row, Col, Auto) + stride helpers |
| `fixed_string.hpp` | `FixedString<N>` — structural string for NTTPs |
| `args.hpp` | Generic kernel argument buffer (ABI) |
| `ops.hpp` | Operator structs (`GemmOp`, `AddOp`, ...) + `Op` variant |
| `physical_tensor.hpp` | `PhysicalTensor` — maps names to Args slots |
| `resolved_tensor.hpp` | `ResolvedTensor` — output of
`Signature::resolve()` |

**Stack**: This is PR 1 of 3 porting the rocm_ck constexpr schema from
experimental to production, #7143.
1. **This PR** — Foundation types (vocabulary)
2. Schema engine — `Signature`, `resolve()`, `ArchProperties`
3. Spec factories — `GemmSpec`, `ElementwiseSpec`, `makeSpec()`

## Test plan

- [ ] `ninja build-smoke-rocm-ck` builds all tests
- [ ] `ctest -L ROCM_CK_SMOKE --output-on-failure` — 6 unit tests pass
(86 test cases)
- [ ] Default CK build (`CK_ENABLE_ROCM_CK=OFF`) unaffected

🤖 Generated with [Claude Code](https://claude.com/claude-code)
2026-05-15 19:22:44 +00:00

4.5 KiB

rocm_ck

A C++20 constexpr API for configuring and distributing CK Tile GPU kernels across multiple architectures.

Status: Early development. Foundation types are in place (DataType, Layout, Args, operators, FixedString, PhysicalTensor, ResolvedTensor). The schema engine (Signature, resolve(), Algorithm) and device bridge are under active development.

Why rocm_ck exists

CK Tile kernels are C++ templates. A GEMM kernel's tile size, pipeline strategy, data types, and epilogue are all template parameters — fixed at compile time. This is excellent for performance (zero-overhead abstraction, full inlining), but it creates a problem for multi-architecture distribution: the host program must be compiled separately from device code, and the host compiler must never see CK Tile headers.

rocm_ck solves this by introducing a host-device boundary built on constexpr data rather than template parameters:

  1. On the host side, kernel configurations are plain C++20 structs (Signature, Algorithm, GemmSpec). These are constexpr data — they describe what to compute and how, without instantiating any templates. Host code reasons about kernels using values, not types.

  2. On the device side, a thin bridge layer lowers these constexpr descriptions into CK Tile template instantiations. Each GemmSpec maps to exactly one ck_tile::GemmPipeline<...> specialization.

  3. At the boundary, pre-compiled kernels are packaged into kpack archives — self-describing, compressed, multi-architecture bundles. The host loads kernels at runtime by matching a GemmSpec against the kpack table of contents. No recompilation, no template instantiation on the host.

This separation is what makes CK Tile viable in TheRock's multi-arch build system, where a single host binary must work with device code compiled for many GPU targets (e.g. gfx90a, gfx942, gfx1151).

The constexpr schema model

Traditional GPU kernel libraries select kernels through template parameters or runtime enums. rocm_ck uses a third approach: constexpr structs that are validated at compile time and lowered to templates on the device side.

A kernel configuration has two axes:

  • Signaturewhat the kernel computes: a directed graph of operators (GemmOp, AddOp, ReluOp, ...) connecting named tensor slots. Data types, layouts, and batch dimensions are part of the signature.

  • Algorithmhow the kernel computes it: tile geometry, pipeline strategy, warp layout, padding, and scheduling. These are tuning parameters that don't change the mathematical result.

The Signature and Algorithm are plain aggregate structs with designated initializers — no constructors, no inheritance, no runtime polymorphism. Validation happens in consteval functions: invalid configurations (unsupported tile size, incompatible data types, missing tensor slots) fail at compile time with actionable error messages.

Here is a preview of the API direction (not yet implemented):

// Host side — pure constexpr, any C++20 compiler, no CK headers
constexpr Signature sig = {
    .dtype = DataType::FP16,
    .ops = {
        GemmOp{.lhs = "A", .rhs = "B", .out = "C"},
        AddOp{.lhs = "C", .rhs = "bias", .out = "D"},
        ReluOp{.in = "D", .out = "E"},
    },
};

// Device side — make_kernel lowers to a CK Tile template instantiation.
// Compiled separately per architecture, packaged into .kpack archives.

Directory layout

rocm_ck/
├── CMakeLists.txt        # INTERFACE library, C++20, ck_tile_headers target
├── include/rocm_ck/      # Public headers — host-safe, no CK/HIP deps
├── src/                  # (planned) Device bridge, kpack loading
└── tests/
    ├── CMakeLists.txt    # Test tiers: ROCM_CK_SMOKE, ROCM_CK_KERNEL
    ├── unit/             # Fast host-only tests (< 1s, no GPU)
    └── kernel/           # (planned) GPU kernel tests

Build

rocm_ck is a CK feature, gated by CK_ENABLE_ROCM_CK:

cd composablekernel
cmake -B build -S . -G Ninja \
    -DCK_ENABLE_ROCM_CK=ON \
    -DCMAKE_CXX_COMPILER=/opt/rocm/llvm/bin/clang++

ninja -C build smoke-rocm-ck    # host-only smoke tests
ninja -C build check-rocm-ck    # all rocm_ck tests
ctest --test-dir build -L ROCM_CK_SMOKE --output-on-failure

Default CK builds (CK_ENABLE_ROCM_CK=OFF) are unaffected.