forked from OSchip/llvm-project
444 lines
15 KiB
C++
444 lines
15 KiB
C++
/*===---- __clang_cuda_runtime_wrapper.h - CUDA runtime support -------------===
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*
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* Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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* See https://llvm.org/LICENSE.txt for license information.
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* SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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*
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*===-----------------------------------------------------------------------===
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*/
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/*
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* WARNING: This header is intended to be directly -include'd by
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* the compiler and is not supposed to be included by users.
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*
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* CUDA headers are implemented in a way that currently makes it
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* impossible for user code to #include directly when compiling with
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* Clang. They present different view of CUDA-supplied functions
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* depending on where in NVCC's compilation pipeline the headers are
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* included. Neither of these modes provides function definitions with
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* correct attributes, so we use preprocessor to force the headers
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* into a form that Clang can use.
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*
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* Similarly to NVCC which -include's cuda_runtime.h, Clang -include's
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* this file during every CUDA compilation.
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*/
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#ifndef __CLANG_CUDA_RUNTIME_WRAPPER_H__
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#define __CLANG_CUDA_RUNTIME_WRAPPER_H__
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#if defined(__CUDA__) && defined(__clang__)
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// Include some forward declares that must come before cmath.
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#include <__clang_cuda_math_forward_declares.h>
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// Define __CUDACC__ early as libstdc++ standard headers with GNU extensions
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// enabled depend on it to avoid using __float128, which is unsupported in
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// CUDA.
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#define __CUDACC__
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// Include some standard headers to avoid CUDA headers including them
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// while some required macros (like __THROW) are in a weird state.
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#include <cmath>
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#include <cstdlib>
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#include <stdlib.h>
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#undef __CUDACC__
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// Preserve common macros that will be changed below by us or by CUDA
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// headers.
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#pragma push_macro("__THROW")
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#pragma push_macro("__CUDA_ARCH__")
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// WARNING: Preprocessor hacks below are based on specific details of
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// CUDA-7.x headers and are not expected to work with any other
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// version of CUDA headers.
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#include "cuda.h"
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#if !defined(CUDA_VERSION)
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#error "cuda.h did not define CUDA_VERSION"
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#elif CUDA_VERSION < 7000
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#error "Unsupported CUDA version!"
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#endif
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#pragma push_macro("__CUDA_INCLUDE_COMPILER_INTERNAL_HEADERS__")
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#if CUDA_VERSION >= 10000
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#define __CUDA_INCLUDE_COMPILER_INTERNAL_HEADERS__
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#endif
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// Make largest subset of device functions available during host
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// compilation -- SM_35 for the time being.
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#ifndef __CUDA_ARCH__
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#define __CUDA_ARCH__ 350
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#endif
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#include "__clang_cuda_builtin_vars.h"
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// No need for device_launch_parameters.h as __clang_cuda_builtin_vars.h above
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// has taken care of builtin variables declared in the file.
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#define __DEVICE_LAUNCH_PARAMETERS_H__
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// {math,device}_functions.h only have declarations of the
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// functions. We don't need them as we're going to pull in their
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// definitions from .hpp files.
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#define __DEVICE_FUNCTIONS_H__
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#define __MATH_FUNCTIONS_H__
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#define __COMMON_FUNCTIONS_H__
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// device_functions_decls is replaced by __clang_cuda_device_functions.h
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// included below.
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#define __DEVICE_FUNCTIONS_DECLS_H__
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#undef __CUDACC__
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#if CUDA_VERSION < 9000
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#define __CUDABE__
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#else
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#define __CUDACC__
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#define __CUDA_LIBDEVICE__
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#endif
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// Disables definitions of device-side runtime support stubs in
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// cuda_device_runtime_api.h
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#include "host_defines.h"
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#undef __CUDACC__
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#include "driver_types.h"
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#include "host_config.h"
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// Temporarily replace "nv_weak" with weak, so __attribute__((nv_weak)) in
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// cuda_device_runtime_api.h ends up being __attribute__((weak)) which is the
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// functional equivalent of what we need.
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#pragma push_macro("nv_weak")
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#define nv_weak weak
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#undef __CUDABE__
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#undef __CUDA_LIBDEVICE__
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#define __CUDACC__
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#include "cuda_runtime.h"
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#pragma pop_macro("nv_weak")
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#undef __CUDACC__
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#define __CUDABE__
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// CUDA headers use __nvvm_memcpy and __nvvm_memset which Clang does
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// not have at the moment. Emulate them with a builtin memcpy/memset.
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#define __nvvm_memcpy(s, d, n, a) __builtin_memcpy(s, d, n)
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#define __nvvm_memset(d, c, n, a) __builtin_memset(d, c, n)
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#if CUDA_VERSION < 9000
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#include "crt/device_runtime.h"
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#endif
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#include "crt/host_runtime.h"
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// device_runtime.h defines __cxa_* macros that will conflict with
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// cxxabi.h.
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// FIXME: redefine these as __device__ functions.
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#undef __cxa_vec_ctor
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#undef __cxa_vec_cctor
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#undef __cxa_vec_dtor
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#undef __cxa_vec_new
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#undef __cxa_vec_new2
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#undef __cxa_vec_new3
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#undef __cxa_vec_delete2
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#undef __cxa_vec_delete
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#undef __cxa_vec_delete3
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#undef __cxa_pure_virtual
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// math_functions.hpp expects this host function be defined on MacOS, but it
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// ends up not being there because of the games we play here. Just define it
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// ourselves; it's simple enough.
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#ifdef __APPLE__
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inline __host__ double __signbitd(double x) {
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return std::signbit(x);
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}
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#endif
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// CUDA 9.1 no longer provides declarations for libdevice functions, so we need
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// to provide our own.
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#include <__clang_cuda_libdevice_declares.h>
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// Wrappers for many device-side standard library functions, incl. math
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// functions, became compiler builtins in CUDA-9 and have been removed from the
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// CUDA headers. Clang now provides its own implementation of the wrappers.
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#if CUDA_VERSION >= 9000
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#include <__clang_cuda_device_functions.h>
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#include <__clang_cuda_math.h>
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#endif
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// __THROW is redefined to be empty by device_functions_decls.h in CUDA. Clang's
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// counterpart does not do it, so we need to make it empty here to keep
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// following CUDA includes happy.
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#undef __THROW
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#define __THROW
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// CUDA 8.0.41 relies on __USE_FAST_MATH__ and __CUDA_PREC_DIV's values.
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// Previous versions used to check whether they are defined or not.
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// CU_DEVICE_INVALID macro is only defined in 8.0.41, so we use it
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// here to detect the switch.
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#if defined(CU_DEVICE_INVALID)
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#if !defined(__USE_FAST_MATH__)
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#define __USE_FAST_MATH__ 0
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#endif
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#if !defined(__CUDA_PREC_DIV)
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#define __CUDA_PREC_DIV 0
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#endif
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#endif
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// Temporarily poison __host__ macro to ensure it's not used by any of
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// the headers we're about to include.
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#pragma push_macro("__host__")
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#define __host__ UNEXPECTED_HOST_ATTRIBUTE
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// device_functions.hpp and math_functions*.hpp use 'static
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// __forceinline__' (with no __device__) for definitions of device
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// functions. Temporarily redefine __forceinline__ to include
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// __device__.
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#pragma push_macro("__forceinline__")
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#define __forceinline__ __device__ __inline__ __attribute__((always_inline))
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#if CUDA_VERSION < 9000
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#include "device_functions.hpp"
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#endif
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// math_function.hpp uses the __USE_FAST_MATH__ macro to determine whether we
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// get the slow-but-accurate or fast-but-inaccurate versions of functions like
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// sin and exp. This is controlled in clang by -fcuda-approx-transcendentals.
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//
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// device_functions.hpp uses __USE_FAST_MATH__ for a different purpose (fast vs.
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// slow divides), so we need to scope our define carefully here.
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#pragma push_macro("__USE_FAST_MATH__")
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#if defined(__CLANG_CUDA_APPROX_TRANSCENDENTALS__)
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#define __USE_FAST_MATH__ 1
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#endif
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#if CUDA_VERSION >= 9000
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// CUDA-9.2 needs host-side memcpy for some host functions in
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// device_functions.hpp
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#if CUDA_VERSION >= 9020
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#include <string.h>
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#endif
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#include "crt/math_functions.hpp"
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#else
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#include "math_functions.hpp"
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#endif
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#pragma pop_macro("__USE_FAST_MATH__")
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#if CUDA_VERSION < 9000
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#include "math_functions_dbl_ptx3.hpp"
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#endif
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#pragma pop_macro("__forceinline__")
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// Pull in host-only functions that are only available when neither
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// __CUDACC__ nor __CUDABE__ are defined.
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#undef __MATH_FUNCTIONS_HPP__
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#undef __CUDABE__
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#if CUDA_VERSION < 9000
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#include "math_functions.hpp"
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#endif
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// Alas, additional overloads for these functions are hard to get to.
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// Considering that we only need these overloads for a few functions,
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// we can provide them here.
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static inline float rsqrt(float __a) { return rsqrtf(__a); }
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static inline float rcbrt(float __a) { return rcbrtf(__a); }
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static inline float sinpi(float __a) { return sinpif(__a); }
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static inline float cospi(float __a) { return cospif(__a); }
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static inline void sincospi(float __a, float *__b, float *__c) {
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return sincospif(__a, __b, __c);
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}
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static inline float erfcinv(float __a) { return erfcinvf(__a); }
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static inline float normcdfinv(float __a) { return normcdfinvf(__a); }
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static inline float normcdf(float __a) { return normcdff(__a); }
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static inline float erfcx(float __a) { return erfcxf(__a); }
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#if CUDA_VERSION < 9000
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// For some reason single-argument variant is not always declared by
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// CUDA headers. Alas, device_functions.hpp included below needs it.
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static inline __device__ void __brkpt(int __c) { __brkpt(); }
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#endif
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// Now include *.hpp with definitions of various GPU functions. Alas,
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// a lot of thins get declared/defined with __host__ attribute which
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// we don't want and we have to define it out. We also have to include
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// {device,math}_functions.hpp again in order to extract the other
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// branch of #if/else inside.
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#define __host__
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#undef __CUDABE__
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#define __CUDACC__
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#if CUDA_VERSION >= 9000
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// Some atomic functions became compiler builtins in CUDA-9 , so we need their
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// declarations.
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#include "device_atomic_functions.h"
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#endif
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#undef __DEVICE_FUNCTIONS_HPP__
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#include "device_atomic_functions.hpp"
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#if CUDA_VERSION >= 9000
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#include "crt/device_functions.hpp"
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#include "crt/device_double_functions.hpp"
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#else
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#include "device_functions.hpp"
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#define __CUDABE__
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#include "device_double_functions.h"
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#undef __CUDABE__
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#endif
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#include "sm_20_atomic_functions.hpp"
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#include "sm_20_intrinsics.hpp"
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#include "sm_32_atomic_functions.hpp"
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// Don't include sm_30_intrinsics.h and sm_32_intrinsics.h. These define the
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// __shfl and __ldg intrinsics using inline (volatile) asm, but we want to
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// define them using builtins so that the optimizer can reason about and across
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// these instructions. In particular, using intrinsics for ldg gets us the
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// [addr+imm] addressing mode, which, although it doesn't actually exist in the
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// hardware, seems to generate faster machine code because ptxas can more easily
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// reason about our code.
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#if CUDA_VERSION >= 8000
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#pragma push_macro("__CUDA_ARCH__")
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#undef __CUDA_ARCH__
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#include "sm_60_atomic_functions.hpp"
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#include "sm_61_intrinsics.hpp"
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#pragma pop_macro("__CUDA_ARCH__")
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#endif
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#undef __MATH_FUNCTIONS_HPP__
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// math_functions.hpp defines ::signbit as a __host__ __device__ function. This
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// conflicts with libstdc++'s constexpr ::signbit, so we have to rename
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// math_function.hpp's ::signbit. It's guarded by #undef signbit, but that's
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// conditional on __GNUC__. :)
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#pragma push_macro("signbit")
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#pragma push_macro("__GNUC__")
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#undef __GNUC__
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#define signbit __ignored_cuda_signbit
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// CUDA-9 omits device-side definitions of some math functions if it sees
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// include guard from math.h wrapper from libstdc++. We have to undo the header
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// guard temporarily to get the definitions we need.
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#pragma push_macro("_GLIBCXX_MATH_H")
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#pragma push_macro("_LIBCPP_VERSION")
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#if CUDA_VERSION >= 9000
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#undef _GLIBCXX_MATH_H
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// We also need to undo another guard that checks for libc++ 3.8+
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#ifdef _LIBCPP_VERSION
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#define _LIBCPP_VERSION 3700
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#endif
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#endif
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#if CUDA_VERSION >= 9000
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#include "crt/math_functions.hpp"
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#else
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#include "math_functions.hpp"
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#endif
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#pragma pop_macro("_GLIBCXX_MATH_H")
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#pragma pop_macro("_LIBCPP_VERSION")
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#pragma pop_macro("__GNUC__")
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#pragma pop_macro("signbit")
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#pragma pop_macro("__host__")
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#include "texture_indirect_functions.h"
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// Restore state of __CUDA_ARCH__ and __THROW we had on entry.
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#pragma pop_macro("__CUDA_ARCH__")
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#pragma pop_macro("__THROW")
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// Set up compiler macros expected to be seen during compilation.
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#undef __CUDABE__
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#define __CUDACC__
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extern "C" {
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// Device-side CUDA system calls.
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// http://docs.nvidia.com/cuda/ptx-writers-guide-to-interoperability/index.html#system-calls
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// We need these declarations and wrappers for device-side
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// malloc/free/printf calls to work without relying on
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// -fcuda-disable-target-call-checks option.
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__device__ int vprintf(const char *, const char *);
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__device__ void free(void *) __attribute((nothrow));
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__device__ void *malloc(size_t) __attribute((nothrow)) __attribute__((malloc));
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__device__ void __assertfail(const char *__message, const char *__file,
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unsigned __line, const char *__function,
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size_t __charSize) __attribute__((noreturn));
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// In order for standard assert() macro on linux to work we need to
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// provide device-side __assert_fail()
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__device__ static inline void __assert_fail(const char *__message,
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const char *__file, unsigned __line,
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const char *__function) {
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__assertfail(__message, __file, __line, __function, sizeof(char));
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}
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// Clang will convert printf into vprintf, but we still need
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// device-side declaration for it.
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__device__ int printf(const char *, ...);
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} // extern "C"
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// We also need device-side std::malloc and std::free.
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namespace std {
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__device__ static inline void free(void *__ptr) { ::free(__ptr); }
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__device__ static inline void *malloc(size_t __size) {
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return ::malloc(__size);
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}
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} // namespace std
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// Out-of-line implementations from __clang_cuda_builtin_vars.h. These need to
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// come after we've pulled in the definition of uint3 and dim3.
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__device__ inline __cuda_builtin_threadIdx_t::operator dim3() const {
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return dim3(x, y, z);
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}
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__device__ inline __cuda_builtin_threadIdx_t::operator uint3() const {
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return {x, y, z};
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}
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__device__ inline __cuda_builtin_blockIdx_t::operator dim3() const {
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return dim3(x, y, z);
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}
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__device__ inline __cuda_builtin_blockIdx_t::operator uint3() const {
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return {x, y, z};
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}
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__device__ inline __cuda_builtin_blockDim_t::operator dim3() const {
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return dim3(x, y, z);
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}
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__device__ inline __cuda_builtin_blockDim_t::operator uint3() const {
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return {x, y, z};
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}
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__device__ inline __cuda_builtin_gridDim_t::operator dim3() const {
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return dim3(x, y, z);
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}
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__device__ inline __cuda_builtin_gridDim_t::operator uint3() const {
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return {x, y, z};
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}
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#include <__clang_cuda_cmath.h>
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#include <__clang_cuda_intrinsics.h>
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#include <__clang_cuda_complex_builtins.h>
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// curand_mtgp32_kernel helpfully redeclares blockDim and threadIdx in host
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// mode, giving them their "proper" types of dim3 and uint3. This is
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// incompatible with the types we give in __clang_cuda_builtin_vars.h. As as
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// hack, force-include the header (nvcc doesn't include it by default) but
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// redefine dim3 and uint3 to our builtin types. (Thankfully dim3 and uint3 are
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// only used here for the redeclarations of blockDim and threadIdx.)
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#pragma push_macro("dim3")
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#pragma push_macro("uint3")
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#define dim3 __cuda_builtin_blockDim_t
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#define uint3 __cuda_builtin_threadIdx_t
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#include "curand_mtgp32_kernel.h"
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#pragma pop_macro("dim3")
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#pragma pop_macro("uint3")
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#pragma pop_macro("__USE_FAST_MATH__")
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#pragma pop_macro("__CUDA_INCLUDE_COMPILER_INTERNAL_HEADERS__")
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// CUDA runtime uses this undocumented function to access kernel launch
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// configuration. The declaration is in crt/device_functions.h but that file
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// includes a lot of other stuff we don't want. Instead, we'll provide our own
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// declaration for it here.
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#if CUDA_VERSION >= 9020
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extern "C" unsigned __cudaPushCallConfiguration(dim3 gridDim, dim3 blockDim,
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size_t sharedMem = 0,
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void *stream = 0);
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#endif
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#endif // __CUDA__
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#endif // __CLANG_CUDA_RUNTIME_WRAPPER_H__
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