1/*===---- __clang_cuda_runtime_wrapper.h - CUDA runtime support -------------=== 2 * 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: 9 * 10 * The above copyright notice and this permission notice shall be included in 11 * all copies or substantial portions of the Software. 12 * 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. 20 * 21 *===-----------------------------------------------------------------------=== 22 */ 23 24/* 25 * WARNING: This header is intended to be directly -include'd by 26 * the compiler and is not supposed to be included by users. 27 * 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. 35 * 36 * Similarly to NVCC which -include's cuda_runtime.h, Clang -include's 37 * this file during every CUDA compilation. 38 */ 39 40#ifndef __CLANG_CUDA_RUNTIME_WRAPPER_H__ 41#define __CLANG_CUDA_RUNTIME_WRAPPER_H__ 42 43#if defined(__CUDA__) && defined(__clang__) 44 45// Include some forward declares that must come before cmath. 46#include <__clang_cuda_math_forward_declares.h> 47 48// Include some standard headers to avoid CUDA headers including them 49// while some required macros (like __THROW) are in a weird state. 50#include <cmath> 51#include <cstdlib> 52#include <stdlib.h> 53 54// Preserve common macros that will be changed below by us or by CUDA 55// headers. 56#pragma push_macro("__THROW") 57#pragma push_macro("__CUDA_ARCH__") 58 59// WARNING: Preprocessor hacks below are based on specific details of 60// CUDA-7.x headers and are not expected to work with any other 61// version of CUDA headers. 62#include "cuda.h" 63#if !defined(CUDA_VERSION) 64#error "cuda.h did not define CUDA_VERSION" 65#elif CUDA_VERSION < 7000 || CUDA_VERSION > 7050 66#error "Unsupported CUDA version!" 67#endif 68 69// Make largest subset of device functions available during host 70// compilation -- SM_35 for the time being. 71#ifndef __CUDA_ARCH__ 72#define __CUDA_ARCH__ 350 73#endif 74 75#include "cuda_builtin_vars.h" 76 77// No need for device_launch_parameters.h as cuda_builtin_vars.h above 78// has taken care of builtin variables declared in the file. 79#define __DEVICE_LAUNCH_PARAMETERS_H__ 80 81// {math,device}_functions.h only have declarations of the 82// functions. We don't need them as we're going to pull in their 83// definitions from .hpp files. 84#define __DEVICE_FUNCTIONS_H__ 85#define __MATH_FUNCTIONS_H__ 86#define __COMMON_FUNCTIONS_H__ 87 88#undef __CUDACC__ 89#define __CUDABE__ 90// Disables definitions of device-side runtime support stubs in 91// cuda_device_runtime_api.h 92#include "driver_types.h" 93#include "host_config.h" 94#include "host_defines.h" 95 96#undef __CUDABE__ 97#define __CUDACC__ 98#include "cuda_runtime.h" 99 100#undef __CUDACC__ 101#define __CUDABE__ 102 103// CUDA headers use __nvvm_memcpy and __nvvm_memset which Clang does 104// not have at the moment. Emulate them with a builtin memcpy/memset. 105#define __nvvm_memcpy(s, d, n, a) __builtin_memcpy(s, d, n) 106#define __nvvm_memset(d, c, n, a) __builtin_memset(d, c, n) 107 108#include "crt/device_runtime.h" 109#include "crt/host_runtime.h" 110// device_runtime.h defines __cxa_* macros that will conflict with 111// cxxabi.h. 112// FIXME: redefine these as __device__ functions. 113#undef __cxa_vec_ctor 114#undef __cxa_vec_cctor 115#undef __cxa_vec_dtor 116#undef __cxa_vec_new2 117#undef __cxa_vec_new3 118#undef __cxa_vec_delete2 119#undef __cxa_vec_delete 120#undef __cxa_vec_delete3 121#undef __cxa_pure_virtual 122 123// We need decls for functions in CUDA's libdevice with __device__ 124// attribute only. Alas they come either as __host__ __device__ or 125// with no attributes at all. To work around that, define __CUDA_RTC__ 126// which produces HD variant and undef __host__ which gives us desided 127// decls with __device__ attribute. 128#pragma push_macro("__host__") 129#define __host__ 130#define __CUDACC_RTC__ 131#include "device_functions_decls.h" 132#undef __CUDACC_RTC__ 133 134// Temporarily poison __host__ macro to ensure it's not used by any of 135// the headers we're about to include. 136#define __host__ UNEXPECTED_HOST_ATTRIBUTE 137 138// device_functions.hpp and math_functions*.hpp use 'static 139// __forceinline__' (with no __device__) for definitions of device 140// functions. Temporarily redefine __forceinline__ to include 141// __device__. 142#pragma push_macro("__forceinline__") 143#define __forceinline__ __device__ __inline__ __attribute__((always_inline)) 144#include "device_functions.hpp" 145 146// math_function.hpp uses the __USE_FAST_MATH__ macro to determine whether we 147// get the slow-but-accurate or fast-but-inaccurate versions of functions like 148// sin and exp. This is controlled in clang by -fcuda-approx-transcendentals. 149// 150// device_functions.hpp uses __USE_FAST_MATH__ for a different purpose (fast vs. 151// slow divides), so we need to scope our define carefully here. 152#pragma push_macro("__USE_FAST_MATH__") 153#if defined(__CLANG_CUDA_APPROX_TRANSCENDENTALS__) 154#define __USE_FAST_MATH__ 155#endif 156#include "math_functions.hpp" 157#pragma pop_macro("__USE_FAST_MATH__") 158 159#include "math_functions_dbl_ptx3.hpp" 160#pragma pop_macro("__forceinline__") 161 162// Pull in host-only functions that are only available when neither 163// __CUDACC__ nor __CUDABE__ are defined. 164#undef __MATH_FUNCTIONS_HPP__ 165#undef __CUDABE__ 166#include "math_functions.hpp" 167// Alas, additional overloads for these functions are hard to get to. 168// Considering that we only need these overloads for a few functions, 169// we can provide them here. 170static inline float rsqrt(float __a) { return rsqrtf(__a); } 171static inline float rcbrt(float __a) { return rcbrtf(__a); } 172static inline float sinpi(float __a) { return sinpif(__a); } 173static inline float cospi(float __a) { return cospif(__a); } 174static inline void sincospi(float __a, float *__b, float *__c) { 175 return sincospif(__a, __b, __c); 176} 177static inline float erfcinv(float __a) { return erfcinvf(__a); } 178static inline float normcdfinv(float __a) { return normcdfinvf(__a); } 179static inline float normcdf(float __a) { return normcdff(__a); } 180static inline float erfcx(float __a) { return erfcxf(__a); } 181 182// For some reason single-argument variant is not always declared by 183// CUDA headers. Alas, device_functions.hpp included below needs it. 184static inline __device__ void __brkpt(int __c) { __brkpt(); } 185 186// Now include *.hpp with definitions of various GPU functions. Alas, 187// a lot of thins get declared/defined with __host__ attribute which 188// we don't want and we have to define it out. We also have to include 189// {device,math}_functions.hpp again in order to extract the other 190// branch of #if/else inside. 191 192#define __host__ 193#undef __CUDABE__ 194#define __CUDACC__ 195#undef __DEVICE_FUNCTIONS_HPP__ 196#include "device_atomic_functions.hpp" 197#include "device_functions.hpp" 198#include "sm_20_atomic_functions.hpp" 199#include "sm_20_intrinsics.hpp" 200#include "sm_32_atomic_functions.hpp" 201 202// Don't include sm_30_intrinsics.h and sm_32_intrinsics.h. These define the 203// __shfl and __ldg intrinsics using inline (volatile) asm, but we want to 204// define them using builtins so that the optimizer can reason about and across 205// these instructions. In particular, using intrinsics for ldg gets us the 206// [addr+imm] addressing mode, which, although it doesn't actually exist in the 207// hardware, seems to generate faster machine code because ptxas can more easily 208// reason about our code. 209 210#undef __MATH_FUNCTIONS_HPP__ 211 212// math_functions.hpp defines ::signbit as a __host__ __device__ function. This 213// conflicts with libstdc++'s constexpr ::signbit, so we have to rename 214// math_function.hpp's ::signbit. It's guarded by #undef signbit, but that's 215// conditional on __GNUC__. :) 216#pragma push_macro("signbit") 217#pragma push_macro("__GNUC__") 218#undef __GNUC__ 219#define signbit __ignored_cuda_signbit 220#include "math_functions.hpp" 221#pragma pop_macro("__GNUC__") 222#pragma pop_macro("signbit") 223 224#pragma pop_macro("__host__") 225 226#include "texture_indirect_functions.h" 227 228// Restore state of __CUDA_ARCH__ and __THROW we had on entry. 229#pragma pop_macro("__CUDA_ARCH__") 230#pragma pop_macro("__THROW") 231 232// Set up compiler macros expected to be seen during compilation. 233#undef __CUDABE__ 234#define __CUDACC__ 235 236extern "C" { 237// Device-side CUDA system calls. 238// http://docs.nvidia.com/cuda/ptx-writers-guide-to-interoperability/index.html#system-calls 239// We need these declarations and wrappers for device-side 240// malloc/free/printf calls to work without relying on 241// -fcuda-disable-target-call-checks option. 242__device__ int vprintf(const char *, const char *); 243__device__ void free(void *) __attribute((nothrow)); 244__device__ void *malloc(size_t) __attribute((nothrow)) __attribute__((malloc)); 245__device__ void __assertfail(const char *__message, const char *__file, 246 unsigned __line, const char *__function, 247 size_t __charSize) __attribute__((noreturn)); 248 249// In order for standard assert() macro on linux to work we need to 250// provide device-side __assert_fail() 251__device__ static inline void __assert_fail(const char *__message, 252 const char *__file, unsigned __line, 253 const char *__function) { 254 __assertfail(__message, __file, __line, __function, sizeof(char)); 255} 256 257// Clang will convert printf into vprintf, but we still need 258// device-side declaration for it. 259__device__ int printf(const char *, ...); 260} // extern "C" 261 262// We also need device-side std::malloc and std::free. 263namespace std { 264__device__ static inline void free(void *__ptr) { ::free(__ptr); } 265__device__ static inline void *malloc(size_t __size) { 266 return ::malloc(__size); 267} 268} // namespace std 269 270// Out-of-line implementations from cuda_builtin_vars.h. These need to come 271// after we've pulled in the definition of uint3 and dim3. 272 273__device__ inline __cuda_builtin_threadIdx_t::operator uint3() const { 274 uint3 ret; 275 ret.x = x; 276 ret.y = y; 277 ret.z = z; 278 return ret; 279} 280 281__device__ inline __cuda_builtin_blockIdx_t::operator uint3() const { 282 uint3 ret; 283 ret.x = x; 284 ret.y = y; 285 ret.z = z; 286 return ret; 287} 288 289__device__ inline __cuda_builtin_blockDim_t::operator dim3() const { 290 return dim3(x, y, z); 291} 292 293__device__ inline __cuda_builtin_gridDim_t::operator dim3() const { 294 return dim3(x, y, z); 295} 296 297#include <__clang_cuda_cmath.h> 298#include <__clang_cuda_intrinsics.h> 299 300// curand_mtgp32_kernel helpfully redeclares blockDim and threadIdx in host 301// mode, giving them their "proper" types of dim3 and uint3. This is 302// incompatible with the types we give in cuda_builtin_vars.h. As as hack, 303// force-include the header (nvcc doesn't include it by default) but redefine 304// dim3 and uint3 to our builtin types. (Thankfully dim3 and uint3 are only 305// used here for the redeclarations of blockDim and threadIdx.) 306#pragma push_macro("dim3") 307#pragma push_macro("uint3") 308#define dim3 __cuda_builtin_blockDim_t 309#define uint3 __cuda_builtin_threadIdx_t 310#include "curand_mtgp32_kernel.h" 311#pragma pop_macro("dim3") 312#pragma pop_macro("uint3") 313#pragma pop_macro("__USE_FAST_MATH__") 314 315#endif // __CUDA__ 316#endif // __CLANG_CUDA_RUNTIME_WRAPPER_H__ 317