2a7ca101d7
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
70 lines
2.0 KiB
ReStructuredText
70 lines
2.0 KiB
ReStructuredText
.. _libcudacxx-standard-api-numerics:
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Numerics Library
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================
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.. toctree::
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:hidden:
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:maxdepth: 1
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numerics_library/bit
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numerics_library/complex
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numerics_library/linalg
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numerics_library/numbers
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numerics_library/numeric
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numerics_library/random
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Any Standard C++ header not listed below is omitted.
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.. list-table::
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:widths: 25 45 30 30 20
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:header-rows: 1
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* - **Header**
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- **Content**
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- **CCCL Availability**
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- **CUDA Toolkit Availability**
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- **C++ Reference**
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* - ``<cuda/std/ratio>``
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- Compile-time rational arithmetic
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- CCCL 2.0.0
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- CUDA 11.0
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- `\<ratio\> <https://en.cppreference.com/w/cpp/header/ratio>`_
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* - :ref:`\<cuda/std/bit\> <libcudacxx-standard-api-numerics-bit>`
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- Access, manipulate, and process individual bits and bit sequences.
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- CCCL 2.0.0
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- CUDA 11.7
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- `\<bit\> <https://en.cppreference.com/w/cpp/header/bit>`_
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* - :ref:`\<cuda/std/complex\> <libcudacxx-standard-api-numerics-complex>`
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- Complex number type
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- CCCL 2.0.0
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- CUDA 11.4
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- `\<complex\> <https://en.cppreference.com/w/cpp/header/complex>`_
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* - :ref:`\<cuda/std/linalg\> <libcudacxx-standard-api-numerics-linalg>`
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- Linear algebra layouts and accessors
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- CCCL 3.0.0
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- CUDA 13.0
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- `\<linalg\> <https://en.cppreference.com/w/cpp/header/linalg>`_
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* - :ref:`\<cuda/std/numbers\> <libcudacxx-standard-api-numerics-numbers>`
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- Numeric constants
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- CCCL 3.0.0
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- CUDA 13.0
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- `\<numbers\> <https://en.cppreference.com/w/cpp/header/numbers>`_
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* - :ref:`\<cuda/std/numeric\> <libcudacxx-standard-api-numerics-numeric>`
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- Numeric algorithms
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- CCCL 2.5.0
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- CUDA 12.6
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- `\<numeric\> <https://en.cppreference.com/w/cpp/header/numeric>`_
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* - :ref:`\<cuda/std/random\> <libcudacxx-standard-api-numerics-random>`
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- Random number generation
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- CCCL 3.3.0
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- CUDA 13.3
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- `\<random\> <https://en.cppreference.com/w/cpp/header/random>`_
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