project_6/cccl_upstream/docs/libcudacxx/extended_api/macros.rst

.. _libcudacxx-extended-api-macros:

======
Macros
======

CCCL provides a set of convenience macros for detecting various system and compile-time
properties via the preprocessor. These macros are available when any CCCL header is
included, and do not require including a specific header file.

.. list-table::
   :widths: 25 45 30 30
   :header-rows: 1

   * - **Macro**
     - **Content**
     - **CCCL Availability**
     - **CUDA Toolkit Availability**

   * - .. toctree::
          :maxdepth: 1

          ../api/macro_cccl_host_arch
     - Detecting the current host architecture.
     - CCCL 3.5.0
     - CUDA 13.5

   * - .. toctree::
          :maxdepth: 1

          ../api/macro_cccl_os
     - Detecting the current operating system.
     - CCCL 3.4.0
     - CUDA 13.3
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			`.. _libcudacxx-extended-api-macros:`

			`======`
			`Macros`
			`======`

			`CCCL provides a set of convenience macros for detecting various system and compile-time`
			`properties via the preprocessor. These macros are available when any CCCL header is`
			`included, and do not require including a specific header file.`

			`.. list-table::`
			`:widths: 25 45 30 30`
			`:header-rows: 1`

			`* - Macro`
			`- Content`
			`- CCCL Availability`
			`- CUDA Toolkit Availability`

			`* - .. toctree::`
			`:maxdepth: 1`

			`../api/macro_cccl_host_arch`
			`- Detecting the current host architecture.`
			`- CCCL 3.5.0`
			`- CUDA 13.5`

			`* - .. toctree::`
			`:maxdepth: 1`

			`../api/macro_cccl_os`
			`- Detecting the current operating system.`
			`- CCCL 3.4.0`
			`- CUDA 13.3`