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49d1a4c562
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
83 lines
3.3 KiB
Plaintext
83 lines
3.3 KiB
Plaintext
/*===---- complex - CUDA wrapper for <complex> ------------------------------===
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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*===-----------------------------------------------------------------------===
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*/
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#ifndef __CLANG_CUDA_WRAPPERS_COMPLEX
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#define __CLANG_CUDA_WRAPPERS_COMPLEX
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// Wrapper around <complex> that forces its functions to be __host__
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// __device__.
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// First, include host-only headers we think are likely to be included by
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// <complex>, so that the pragma below only applies to <complex> itself.
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#if __cplusplus >= 201103L
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#include <type_traits>
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#endif
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#include <stdexcept>
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#include <cmath>
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#include <sstream>
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// Next, include our <algorithm> wrapper, to ensure that device overloads of
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// std::min/max are available.
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#include <algorithm>
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#pragma clang force_cuda_host_device begin
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// When compiling for device, ask libstdc++ to use its own implements of
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// complex functions, rather than calling builtins (which resolve to library
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// functions that don't exist when compiling CUDA device code).
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//
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// This is a little dicey, because it causes libstdc++ to define a different
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// set of overloads on host and device.
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//
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// // Present only when compiling for host.
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// __host__ __device__ void complex<float> sin(const complex<float>& x) {
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// return __builtin_csinf(x);
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// }
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//
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// // Present when compiling for host and for device.
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// template <typename T>
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// void __host__ __device__ complex<T> sin(const complex<T>& x) {
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// return complex<T>(sin(x.real()) * cosh(x.imag()),
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// cos(x.real()), sinh(x.imag()));
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// }
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//
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// This is safe because when compiling for device, all function calls in
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// __host__ code to sin() will still resolve to *something*, even if they don't
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// resolve to the same function as they resolve to when compiling for host. We
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// don't care that they don't resolve to the right function because we won't
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// codegen this host code when compiling for device.
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#pragma push_macro("_GLIBCXX_USE_C99_COMPLEX")
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#pragma push_macro("_GLIBCXX_USE_C99_COMPLEX_TR1")
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#define _GLIBCXX_USE_C99_COMPLEX 0
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#define _GLIBCXX_USE_C99_COMPLEX_TR1 0
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#include_next <complex>
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#pragma pop_macro("_GLIBCXX_USE_C99_COMPLEX_TR1")
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#pragma pop_macro("_GLIBCXX_USE_C99_COMPLEX")
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#pragma clang force_cuda_host_device end
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#endif // include guard
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