Files
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

48 lines
1.4 KiB
C++

//===----------------------------------------------------------------------===//
//
// Part of CUDA C++ Core Libraries, under the Apache License v2.0 with
// LLVM Exceptions. See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
// SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//
#include <cuda/version>
#include <algorithm>
#include <cstddef>
#include <execution>
#include <vector>
// Ensure that we are indeed using the correct CCCL version
static_assert(CCCL_MAJOR_VERSION == CMAKE_CCCL_VERSION_MAJOR);
static_assert(CCCL_MINOR_VERSION == CMAKE_CCCL_VERSION_MINOR);
static_assert(CCCL_PATCH_VERSION == CMAKE_CCCL_VERSION_PATCH);
int main()
{
constexpr std::size_t num_items = 1 << 16;
std::vector<int> values(num_items, 0);
constexpr auto is_one = [](const int value) {
return value == 1;
};
const bool initially_contains_one = std::any_of(std::execution::par, values.begin(), values.end(), is_one);
if (initially_contains_one)
{
return 1;
}
values[num_items / 2] = 1;
const bool contains_one = std::any_of(std::execution::par, values.begin(), values.end(), is_one);
const bool empty_has_a_one = std::any_of(std::execution::par, values.begin(), values.begin(), is_one);
if (!contains_one || empty_has_a_one)
{
return 1;
}
return 0;
}