Files
project_6/cccl_upstream/.agent/skills/cccl-style/references/libcudacxx.md
muh-bot 2a7ca101d7 feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream:

Added:
- python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms
  Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc.
  Includes 204 .py files with full test coverage for all 27 algorithms
- ci/ (163 files) — Build/test infrastructure
  build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml
  Directly maps to our [INFRA-CI] and [INFRA-BUILD] items
- .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL
  cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md
- docs/ (491 files) — Official CCCL documentation
  CI references, CMake guides, Python compute docs, libcudacxx PTX docs
- test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar)
- Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml
- CLAUDE.md symlink → AGENTS.md (NVIDIA's standard)

cccl_upstream now mirrors full NVIDIA/cccl structure:
  Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks)
  After:  53M (+python +ci +docs +.agent +test +configs)

This completes the CCCL base needed for:
- [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds
- [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations
- [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh
- Agent workflow: .agent/skills/ for consistent style and test patterns
2026-08-07 02:34:33 +00:00

2.3 KiB

libcudacxx Style Guidance

Use this reference for libcudacxx/include/**/* and cudax/include/**/*.

Naming Style

All non-public symbols must be C++ reserved identifiers:

  • _ for macros and template parameters, e.g. _MY_MACRO, _MyParameter.
  • __ for all other symbols, e.g. __my_variable.
  • Never use reserved keywords, such as __in, __out, or __inout as variables, parameters, or function names.
  • Avoid single-letter template parameter names. Wrong: _T; correct: _Tp.

Class / Struct

  • Data member names have postfix _, e.g. class __myclass { int __data_; };.
  • Constructor parameter names should match class/struct data member names without the postfix _, e.g. class __myclass { __myclass(int __data) : __data_(__data) {} };.

Functions

  • Use constexpr for functions that do not depend on run-time features, such as pointers.
  • If the return type is not explicit (auto), then a trailing return type is strongly preferred.

Headers

  • Use the correct license:
    • libcudacxx/include/cuda/std files ported from LLVM libc++ use the LLVM license.
    • libcudacxx/include/cuda/ files use Apache License v2.0 with LLVM Exceptions.
  • Headers use include guards with names derived from the uppercase full path and closing #endif comments repeating the guard name.
  • Right after the include guard, include:
#include <cuda/std/detail/__config>

#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
#  pragma GCC system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
#  pragma clang system_header
#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
#  pragma system_header
#endif // no system header
  • The last included header before code must be <cuda/std/__cccl/prologue.h>, and <cuda/std/__cccl/epilogue.h> must appear at the end of the file.

Comments

  • Use Doxygen-style //! @brief comments.
  • Documented functions must include //! @brief, //! @param[in/out/in,out] for every parameter, and //! @return for non-void functions.
  • The @brief/@param/@return description must accurately reflect the current functionality of the function.

Compiler Compatibility

  • Do not use lambda expressions in device-only or host-device code.
  • Do not rely on deduction guides for initialization; use explicit template arguments instead.