zig/lib/include/cuda_wrappers/complex
Andrew Kelley 49d1a4c562 move lib dirs to lib subdir
also start prefering NtDll API. so far:
 * NtQueryInformationFile
 * NtClose

adds a performance workaround for windows unicode conversion. but that
should probably be removed before merging
2019-07-15 17:54:50 -04:00

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/*===---- 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
#include_next <complex>
#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