project_6/cccl_upstream/libcudacxx/include/cuda/std/ccomplex

//===----------------------------------------------------------------------===//
//
// Part of the CUDA Toolkit, 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) 2023 NVIDIA CORPORATION & AFFILIATES.
//
//===----------------------------------------------------------------------===//

#ifndef _CUDA_STD_CCOMPLEX
#define _CUDA_STD_CCOMPLEX

#include <cuda/std/complex>

#endif // _CUDA_STD_CCOMPLEX
[INFRA] Import NVIDIA/CCCL upstream as optimization reference library CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0 2026-07-30 09:35:51 +00:00			`//===----------------------------------------------------------------------===//`
			`//`
			`// Part of the CUDA Toolkit, 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) 2023 NVIDIA CORPORATION & AFFILIATES.`
			`//`
			`//===----------------------------------------------------------------------===//`

			`#ifndef _CUDA_STD_CCOMPLEX`
			`#define _CUDA_STD_CCOMPLEX`

			`#include <cuda/std/complex>`

			`#endif // _CUDA_STD_CCOMPLEX`