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
57 lines
1.4 KiB
ReStructuredText
57 lines
1.4 KiB
ReStructuredText
.. _libcudacxx-extended-api-math-uabs:
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``cuda::uabs``
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====================================
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Defined in the ``<cuda/cmath>`` header.
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.. code:: cuda
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namespace cuda {
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template <typename T>
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[[nodiscard]] __host__ __device__ constexpr
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cuda::std::make_unsigned_t<T> uabs(T value) noexcept;
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} // namespace cuda
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The function computes the absolute value of the input value. The result is returned as an unsigned integer type of the same size as the input value. In comparison to the standard ``abs`` function, the ``uabs`` eliminates the undefined behaviour when a signed ``T_MIN`` is passed as an input.
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**Parameters**
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- ``value``: The input value.
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**Return value**
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- The unsigned absolute value of the input value.
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**Constraints**
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- ``T`` is an integer type.
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Example
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-------
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.. code:: cuda
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#include <cuda/cmath>
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#include <cuda/std/cassert>
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#include <cuda/std/limits>
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__global__ void uabs_kernel() {
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using cuda::std::numeric_limits;
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assert(cuda::uabs(20) == 20u);
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assert(cuda::uabs(-32) == 32u);
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assert(cuda::uabs(numeric_limits<int>::max()) == static_cast<unsigned>(numeric_limits<int>::max()));
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assert(cuda::uabs(numeric_limits<int>::min()) == static_cast<unsigned>(numeric_limits<int>::max()) + 1);
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}
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int main() {
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uabs_kernel<<<1, 1>>>();
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cudaDeviceSynchronize();
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return 0;
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}
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`See it on Godbolt 🔗 <https://godbolt.org/z/KEoYfq53G>`__
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