Roll NDK to pick std::deque patch.
[android_tools.git] / sdk / build-tools / 25.0.2 / renderscript / clang-include / __clang_cuda_runtime_wrapper.h
blob8e5f0331cb38272664f25cdc97b3e0b3567d5920
1 /*===---- __clang_cuda_runtime_wrapper.h - CUDA runtime support -------------===
3 * Permission is hereby granted, free of charge, to any person obtaining a copy
4 * of this software and associated documentation files (the "Software"), to deal
5 * in the Software without restriction, including without limitation the rights
6 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
7 * copies of the Software, and to permit persons to whom the Software is
8 * furnished to do so, subject to the following conditions:
10 * The above copyright notice and this permission notice shall be included in
11 * all copies or substantial portions of the Software.
13 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
14 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
15 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
16 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
17 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
18 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
19 * THE SOFTWARE.
21 *===-----------------------------------------------------------------------===
25 * WARNING: This header is intended to be directly -include'd by
26 * the compiler and is not supposed to be included by users.
28 * CUDA headers are implemented in a way that currently makes it
29 * impossible for user code to #include directly when compiling with
30 * Clang. They present different view of CUDA-supplied functions
31 * depending on where in NVCC's compilation pipeline the headers are
32 * included. Neither of these modes provides function definitions with
33 * correct attributes, so we use preprocessor to force the headers
34 * into a form that Clang can use.
36 * Similarly to NVCC which -include's cuda_runtime.h, Clang -include's
37 * this file during every CUDA compilation.
40 #ifndef __CLANG_CUDA_RUNTIME_WRAPPER_H__
41 #define __CLANG_CUDA_RUNTIME_WRAPPER_H__
43 #if defined(__CUDA__) && defined(__clang__)
45 // Include some standard headers to avoid CUDA headers including them
46 // while some required macros (like __THROW) are in a weird state.
47 #include <stdlib.h>
48 #include <cmath>
50 // Preserve common macros that will be changed below by us or by CUDA
51 // headers.
52 #pragma push_macro("__THROW")
53 #pragma push_macro("__CUDA_ARCH__")
55 // WARNING: Preprocessor hacks below are based on specific details of
56 // CUDA-7.x headers and are not expected to work with any other
57 // version of CUDA headers.
58 #include "cuda.h"
59 #if !defined(CUDA_VERSION)
60 #error "cuda.h did not define CUDA_VERSION"
61 #elif CUDA_VERSION < 7000 || CUDA_VERSION > 7050
62 #error "Unsupported CUDA version!"
63 #endif
65 // Make largest subset of device functions available during host
66 // compilation -- SM_35 for the time being.
67 #ifndef __CUDA_ARCH__
68 #define __CUDA_ARCH__ 350
69 #endif
71 #include "cuda_builtin_vars.h"
73 // No need for device_launch_parameters.h as cuda_builtin_vars.h above
74 // has taken care of builtin variables declared in the file.
75 #define __DEVICE_LAUNCH_PARAMETERS_H__
77 // {math,device}_functions.h only have declarations of the
78 // functions. We don't need them as we're going to pull in their
79 // definitions from .hpp files.
80 #define __DEVICE_FUNCTIONS_H__
81 #define __MATH_FUNCTIONS_H__
83 #undef __CUDACC__
84 #define __CUDABE__
85 // Disables definitions of device-side runtime support stubs in
86 // cuda_device_runtime_api.h
87 #define __CUDADEVRT_INTERNAL__
88 #include "host_config.h"
89 #include "host_defines.h"
90 #include "driver_types.h"
91 #include "common_functions.h"
92 #undef __CUDADEVRT_INTERNAL__
94 #undef __CUDABE__
95 #define __CUDACC__
96 #include "cuda_runtime.h"
98 #undef __CUDACC__
99 #define __CUDABE__
101 // CUDA headers use __nvvm_memcpy and __nvvm_memset which Clang does
102 // not have at the moment. Emulate them with a builtin memcpy/memset.
103 #define __nvvm_memcpy(s,d,n,a) __builtin_memcpy(s,d,n)
104 #define __nvvm_memset(d,c,n,a) __builtin_memset(d,c,n)
106 #include "crt/host_runtime.h"
107 #include "crt/device_runtime.h"
108 // device_runtime.h defines __cxa_* macros that will conflict with
109 // cxxabi.h.
110 // FIXME: redefine these as __device__ functions.
111 #undef __cxa_vec_ctor
112 #undef __cxa_vec_cctor
113 #undef __cxa_vec_dtor
114 #undef __cxa_vec_new2
115 #undef __cxa_vec_new3
116 #undef __cxa_vec_delete2
117 #undef __cxa_vec_delete
118 #undef __cxa_vec_delete3
119 #undef __cxa_pure_virtual
121 // We need decls for functions in CUDA's libdevice with __device__
122 // attribute only. Alas they come either as __host__ __device__ or
123 // with no attributes at all. To work around that, define __CUDA_RTC__
124 // which produces HD variant and undef __host__ which gives us desided
125 // decls with __device__ attribute.
126 #pragma push_macro("__host__")
127 #define __host__
128 #define __CUDACC_RTC__
129 #include "device_functions_decls.h"
130 #undef __CUDACC_RTC__
132 // Temporarily poison __host__ macro to ensure it's not used by any of
133 // the headers we're about to include.
134 #define __host__ UNEXPECTED_HOST_ATTRIBUTE
136 // device_functions.hpp and math_functions*.hpp use 'static
137 // __forceinline__' (with no __device__) for definitions of device
138 // functions. Temporarily redefine __forceinline__ to include
139 // __device__.
140 #pragma push_macro("__forceinline__")
141 #define __forceinline__ __device__ __inline__ __attribute__((always_inline))
142 #include "device_functions.hpp"
143 #include "math_functions.hpp"
144 #include "math_functions_dbl_ptx3.hpp"
145 #pragma pop_macro("__forceinline__")
147 // Pull in host-only functions that are only available when neither
148 // __CUDACC__ nor __CUDABE__ are defined.
149 #undef __MATH_FUNCTIONS_HPP__
150 #undef __CUDABE__
151 #include "math_functions.hpp"
152 // Alas, additional overloads for these functions are hard to get to.
153 // Considering that we only need these overloads for a few functions,
154 // we can provide them here.
155 static inline float rsqrt(float a) { return rsqrtf(a); }
156 static inline float rcbrt(float a) { return rcbrtf(a); }
157 static inline float sinpi(float a) { return sinpif(a); }
158 static inline float cospi(float a) { return cospif(a); }
159 static inline void sincospi(float a, float *b, float *c) {
160 return sincospi(a, b, c);
162 static inline float erfcinv(float a) { return erfcinvf(a); }
163 static inline float normcdfinv(float a) { return normcdfinvf(a); }
164 static inline float normcdf(float a) { return normcdff(a); }
165 static inline float erfcx(float a) { return erfcxf(a); }
167 // For some reason single-argument variant is not always declared by
168 // CUDA headers. Alas, device_functions.hpp included below needs it.
169 static inline __device__ void __brkpt(int c) { __brkpt(); }
171 // Now include *.hpp with definitions of various GPU functions. Alas,
172 // a lot of thins get declared/defined with __host__ attribute which
173 // we don't want and we have to define it out. We also have to include
174 // {device,math}_functions.hpp again in order to extract the other
175 // branch of #if/else inside.
177 #define __host__
178 #undef __CUDABE__
179 #define __CUDACC__
180 #undef __DEVICE_FUNCTIONS_HPP__
181 #include "device_functions.hpp"
182 #include "device_atomic_functions.hpp"
183 #include "sm_20_atomic_functions.hpp"
184 #include "sm_32_atomic_functions.hpp"
185 #include "sm_20_intrinsics.hpp"
186 // sm_30_intrinsics.h has declarations that use default argument, so
187 // we have to include it and it will in turn include .hpp
188 #include "sm_30_intrinsics.h"
189 #include "sm_32_intrinsics.hpp"
190 #undef __MATH_FUNCTIONS_HPP__
191 #include "math_functions.hpp"
192 #pragma pop_macro("__host__")
194 #include "texture_indirect_functions.h"
196 // Restore state of __CUDA_ARCH__ and __THROW we had on entry.
197 #pragma pop_macro("__CUDA_ARCH__")
198 #pragma pop_macro("__THROW")
200 // Set up compiler macros expected to be seen during compilation.
201 #undef __CUDABE__
202 #define __CUDACC__
203 #define __NVCC__
205 #if defined(__CUDA_ARCH__)
206 // We need to emit IR declaration for non-existing __nvvm_reflect() to
207 // let backend know that it should be treated as const nothrow
208 // function which is what NVVMReflect pass expects to see.
209 extern "C" __device__ __attribute__((const)) int __nvvm_reflect(const void *);
210 static __device__ __attribute__((used)) int __nvvm_reflect_anchor() {
211 return __nvvm_reflect("NONE");
213 #endif
215 #endif // __CUDA__
216 #endif // __CLANG_CUDA_RUNTIME_WRAPPER_H__