llvm/clang/lib/Headers/cuda_wrappers/complex

/*===---- complex - CUDA wrapper for <complex> ------------------------------===
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 *
 *===-----------------------------------------------------------------------===
 */

#ifndef __CLANG_CUDA_WRAPPERS_COMPLEX
#define __CLANG_CUDA_WRAPPERS_COMPLEX

// Wrapper around <complex> that forces its functions to be __host__
// __device__.

// First, include host-only headers we think are likely to be included by
// <complex>, so that the pragma below only applies to <complex> itself.
#if __cplusplus >= 201103L
#include <type_traits>
#endif
#include <stdexcept>
#include <cmath>
#include <sstream>

// Next, include our <algorithm> wrapper, to ensure that device overloads of
// std::min/max are available.
#include <algorithm>

#pragma clang force_cuda_host_device begin

// When compiling for device, ask libstdc++ to use its own implements of
// complex functions, rather than calling builtins (which resolve to library
// functions that don't exist when compiling CUDA device code).
//
// This is a little dicey, because it causes libstdc++ to define a different
// set of overloads on host and device.
//
//   // Present only when compiling for host.
//   __host__ __device__ void complex<float> sin(const complex<float>& x) {
//     return __builtin_csinf(x);
//   }
//
//   // Present when compiling for host and for device.
//   template <typename T>
//   void __host__ __device__ complex<T> sin(const complex<T>& x) {
//     return complex<T>(sin(x.real()) * cosh(x.imag()),
//                       cos(x.real()), sinh(x.imag()));
//   }
//
// This is safe because when compiling for device, all function calls in
// __host__ code to sin() will still resolve to *something*, even if they don't
// resolve to the same function as they resolve to when compiling for host.  We
// don't care that they don't resolve to the right function because we won't
// codegen this host code when compiling for device.

#pragma push_macro("_GLIBCXX_USE_C99_COMPLEX")
#pragma push_macro("_GLIBCXX_USE_C99_COMPLEX_TR1")
#define _GLIBCXX_USE_C99_COMPLEX 0
#define _GLIBCXX_USE_C99_COMPLEX_TR1 0

// Work around a compatibility issue with libstdc++ 11.1.0
// https://bugs.llvm.org/show_bug.cgi?id=50383
#pragma push_macro("__failed_assertion")
#if _GLIBCXX_RELEASE == 11
#define __failed_assertion __cuda_failed_assertion
#endif

#include_next <complex>

#pragma pop_macro("__failed_assertion")
#pragma pop_macro("_GLIBCXX_USE_C99_COMPLEX_TR1")
#pragma pop_macro("_GLIBCXX_USE_C99_COMPLEX")

#pragma clang force_cuda_host_device end

#endif // include guard