forked from OSchip/llvm-project
473 lines
17 KiB
C++
473 lines
17 KiB
C++
/*===---- __clang_cuda_cmath.h - Device-side CUDA cmath support ------------===
|
|
*
|
|
* 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_CMATH_H__
|
|
#define __CLANG_CUDA_CMATH_H__
|
|
#ifndef __CUDA__
|
|
#error "This file is for CUDA compilation only."
|
|
#endif
|
|
|
|
#include <limits>
|
|
|
|
// CUDA lets us use various std math functions on the device side. This file
|
|
// works in concert with __clang_cuda_math_forward_declares.h to make this work.
|
|
//
|
|
// Specifically, the forward-declares header declares __device__ overloads for
|
|
// these functions in the global namespace, then pulls them into namespace std
|
|
// with 'using' statements. Then this file implements those functions, after
|
|
// their implementations have been pulled in.
|
|
//
|
|
// It's important that we declare the functions in the global namespace and pull
|
|
// them into namespace std with using statements, as opposed to simply declaring
|
|
// these functions in namespace std, because our device functions need to
|
|
// overload the standard library functions, which may be declared in the global
|
|
// namespace or in std, depending on the degree of conformance of the stdlib
|
|
// implementation. Declaring in the global namespace and pulling into namespace
|
|
// std covers all of the known knowns.
|
|
|
|
#define __DEVICE__ static __device__ __inline__ __attribute__((always_inline))
|
|
|
|
__DEVICE__ long long abs(long long __n) { return ::llabs(__n); }
|
|
__DEVICE__ long abs(long __n) { return ::labs(__n); }
|
|
__DEVICE__ float abs(float __x) { return ::fabsf(__x); }
|
|
__DEVICE__ double abs(double __x) { return ::fabs(__x); }
|
|
__DEVICE__ float acos(float __x) { return ::acosf(__x); }
|
|
__DEVICE__ float asin(float __x) { return ::asinf(__x); }
|
|
__DEVICE__ float atan(float __x) { return ::atanf(__x); }
|
|
__DEVICE__ float atan2(float __x, float __y) { return ::atan2f(__x, __y); }
|
|
__DEVICE__ float ceil(float __x) { return ::ceilf(__x); }
|
|
__DEVICE__ float cos(float __x) { return ::cosf(__x); }
|
|
__DEVICE__ float cosh(float __x) { return ::coshf(__x); }
|
|
__DEVICE__ float exp(float __x) { return ::expf(__x); }
|
|
__DEVICE__ float fabs(float __x) { return ::fabsf(__x); }
|
|
__DEVICE__ float floor(float __x) { return ::floorf(__x); }
|
|
__DEVICE__ float fmod(float __x, float __y) { return ::fmodf(__x, __y); }
|
|
__DEVICE__ int fpclassify(float __x) {
|
|
return __builtin_fpclassify(FP_NAN, FP_INFINITE, FP_NORMAL, FP_SUBNORMAL,
|
|
FP_ZERO, __x);
|
|
}
|
|
__DEVICE__ int fpclassify(double __x) {
|
|
return __builtin_fpclassify(FP_NAN, FP_INFINITE, FP_NORMAL, FP_SUBNORMAL,
|
|
FP_ZERO, __x);
|
|
}
|
|
__DEVICE__ float frexp(float __arg, int *__exp) {
|
|
return ::frexpf(__arg, __exp);
|
|
}
|
|
|
|
// For inscrutable reasons, the CUDA headers define these functions for us on
|
|
// Windows.
|
|
#ifndef _MSC_VER
|
|
__DEVICE__ bool isinf(float __x) { return ::__isinff(__x); }
|
|
__DEVICE__ bool isinf(double __x) { return ::__isinf(__x); }
|
|
__DEVICE__ bool isfinite(float __x) { return ::__finitef(__x); }
|
|
// For inscrutable reasons, __finite(), the double-precision version of
|
|
// __finitef, does not exist when compiling for MacOS. __isfinited is available
|
|
// everywhere and is just as good.
|
|
__DEVICE__ bool isfinite(double __x) { return ::__isfinited(__x); }
|
|
__DEVICE__ bool isnan(float __x) { return ::__isnanf(__x); }
|
|
__DEVICE__ bool isnan(double __x) { return ::__isnan(__x); }
|
|
#endif
|
|
|
|
__DEVICE__ bool isgreater(float __x, float __y) {
|
|
return __builtin_isgreater(__x, __y);
|
|
}
|
|
__DEVICE__ bool isgreater(double __x, double __y) {
|
|
return __builtin_isgreater(__x, __y);
|
|
}
|
|
__DEVICE__ bool isgreaterequal(float __x, float __y) {
|
|
return __builtin_isgreaterequal(__x, __y);
|
|
}
|
|
__DEVICE__ bool isgreaterequal(double __x, double __y) {
|
|
return __builtin_isgreaterequal(__x, __y);
|
|
}
|
|
__DEVICE__ bool isless(float __x, float __y) {
|
|
return __builtin_isless(__x, __y);
|
|
}
|
|
__DEVICE__ bool isless(double __x, double __y) {
|
|
return __builtin_isless(__x, __y);
|
|
}
|
|
__DEVICE__ bool islessequal(float __x, float __y) {
|
|
return __builtin_islessequal(__x, __y);
|
|
}
|
|
__DEVICE__ bool islessequal(double __x, double __y) {
|
|
return __builtin_islessequal(__x, __y);
|
|
}
|
|
__DEVICE__ bool islessgreater(float __x, float __y) {
|
|
return __builtin_islessgreater(__x, __y);
|
|
}
|
|
__DEVICE__ bool islessgreater(double __x, double __y) {
|
|
return __builtin_islessgreater(__x, __y);
|
|
}
|
|
__DEVICE__ bool isnormal(float __x) { return __builtin_isnormal(__x); }
|
|
__DEVICE__ bool isnormal(double __x) { return __builtin_isnormal(__x); }
|
|
__DEVICE__ bool isunordered(float __x, float __y) {
|
|
return __builtin_isunordered(__x, __y);
|
|
}
|
|
__DEVICE__ bool isunordered(double __x, double __y) {
|
|
return __builtin_isunordered(__x, __y);
|
|
}
|
|
__DEVICE__ float ldexp(float __arg, int __exp) {
|
|
return ::ldexpf(__arg, __exp);
|
|
}
|
|
__DEVICE__ float log(float __x) { return ::logf(__x); }
|
|
__DEVICE__ float log10(float __x) { return ::log10f(__x); }
|
|
__DEVICE__ float modf(float __x, float *__iptr) { return ::modff(__x, __iptr); }
|
|
__DEVICE__ float pow(float __base, float __exp) {
|
|
return ::powf(__base, __exp);
|
|
}
|
|
__DEVICE__ float pow(float __base, int __iexp) {
|
|
return ::powif(__base, __iexp);
|
|
}
|
|
__DEVICE__ double pow(double __base, int __iexp) {
|
|
return ::powi(__base, __iexp);
|
|
}
|
|
__DEVICE__ bool signbit(float __x) { return ::__signbitf(__x); }
|
|
__DEVICE__ bool signbit(double __x) { return ::__signbitd(__x); }
|
|
__DEVICE__ float sin(float __x) { return ::sinf(__x); }
|
|
__DEVICE__ float sinh(float __x) { return ::sinhf(__x); }
|
|
__DEVICE__ float sqrt(float __x) { return ::sqrtf(__x); }
|
|
__DEVICE__ float tan(float __x) { return ::tanf(__x); }
|
|
__DEVICE__ float tanh(float __x) { return ::tanhf(__x); }
|
|
|
|
// Notably missing above is nexttoward. We omit it because
|
|
// libdevice doesn't provide an implementation, and we don't want to be in the
|
|
// business of implementing tricky libm functions in this header.
|
|
|
|
// Now we've defined everything we promised we'd define in
|
|
// __clang_cuda_math_forward_declares.h. We need to do two additional things to
|
|
// fix up our math functions.
|
|
//
|
|
// 1) Define __device__ overloads for e.g. sin(int). The CUDA headers define
|
|
// only sin(float) and sin(double), which means that e.g. sin(0) is
|
|
// ambiguous.
|
|
//
|
|
// 2) Pull the __device__ overloads of "foobarf" math functions into namespace
|
|
// std. These are defined in the CUDA headers in the global namespace,
|
|
// independent of everything else we've done here.
|
|
|
|
// We can't use std::enable_if, because we want to be pre-C++11 compatible. But
|
|
// we go ahead and unconditionally define functions that are only available when
|
|
// compiling for C++11 to match the behavior of the CUDA headers.
|
|
template<bool __B, class __T = void>
|
|
struct __clang_cuda_enable_if {};
|
|
|
|
template <class __T> struct __clang_cuda_enable_if<true, __T> {
|
|
typedef __T type;
|
|
};
|
|
|
|
// Defines an overload of __fn that accepts one integral argument, calls
|
|
// __fn((double)x), and returns __retty.
|
|
#define __CUDA_CLANG_FN_INTEGER_OVERLOAD_1(__retty, __fn) \
|
|
template <typename __T> \
|
|
__DEVICE__ \
|
|
typename __clang_cuda_enable_if<std::numeric_limits<__T>::is_integer, \
|
|
__retty>::type \
|
|
__fn(__T __x) { \
|
|
return ::__fn((double)__x); \
|
|
}
|
|
|
|
// Defines an overload of __fn that accepts one two arithmetic arguments, calls
|
|
// __fn((double)x, (double)y), and returns a double.
|
|
//
|
|
// Note this is different from OVERLOAD_1, which generates an overload that
|
|
// accepts only *integral* arguments.
|
|
#define __CUDA_CLANG_FN_INTEGER_OVERLOAD_2(__retty, __fn) \
|
|
template <typename __T1, typename __T2> \
|
|
__DEVICE__ typename __clang_cuda_enable_if< \
|
|
std::numeric_limits<__T1>::is_specialized && \
|
|
std::numeric_limits<__T2>::is_specialized, \
|
|
__retty>::type \
|
|
__fn(__T1 __x, __T2 __y) { \
|
|
return __fn((double)__x, (double)__y); \
|
|
}
|
|
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, acos)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, acosh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, asin)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, asinh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, atan)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, atan2);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, atanh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, cbrt)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, ceil)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, copysign);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, cos)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, cosh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, erf)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, erfc)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, exp)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, exp2)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, expm1)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, fabs)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, fdim);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, floor)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, fmax);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, fmin);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, fmod);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(int, fpclassify)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, hypot);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(int, ilogb)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(bool, isfinite)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, isgreater);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, isgreaterequal);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(bool, isinf);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, isless);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, islessequal);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, islessgreater);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(bool, isnan);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(bool, isnormal)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(bool, isunordered);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, lgamma)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, log)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, log10)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, log1p)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, log2)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, logb)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(long long, llrint)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(long long, llround)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(long, lrint)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(long, lround)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, nearbyint);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, nextafter);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, pow);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_2(double, remainder);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, rint);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, round);
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(bool, signbit)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, sin)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, sinh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, sqrt)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, tan)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, tanh)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, tgamma)
|
|
__CUDA_CLANG_FN_INTEGER_OVERLOAD_1(double, trunc);
|
|
|
|
#undef __CUDA_CLANG_FN_INTEGER_OVERLOAD_1
|
|
#undef __CUDA_CLANG_FN_INTEGER_OVERLOAD_2
|
|
|
|
// Overloads for functions that don't match the patterns expected by
|
|
// __CUDA_CLANG_FN_INTEGER_OVERLOAD_{1,2}.
|
|
template <typename __T1, typename __T2, typename __T3>
|
|
__DEVICE__ typename __clang_cuda_enable_if<
|
|
std::numeric_limits<__T1>::is_specialized &&
|
|
std::numeric_limits<__T2>::is_specialized &&
|
|
std::numeric_limits<__T3>::is_specialized,
|
|
double>::type
|
|
fma(__T1 __x, __T2 __y, __T3 __z) {
|
|
return std::fma((double)__x, (double)__y, (double)__z);
|
|
}
|
|
|
|
template <typename __T>
|
|
__DEVICE__ typename __clang_cuda_enable_if<std::numeric_limits<__T>::is_integer,
|
|
double>::type
|
|
frexp(__T __x, int *__exp) {
|
|
return std::frexp((double)__x, __exp);
|
|
}
|
|
|
|
template <typename __T>
|
|
__DEVICE__ typename __clang_cuda_enable_if<std::numeric_limits<__T>::is_integer,
|
|
double>::type
|
|
ldexp(__T __x, int __exp) {
|
|
return std::ldexp((double)__x, __exp);
|
|
}
|
|
|
|
template <typename __T1, typename __T2>
|
|
__DEVICE__ typename __clang_cuda_enable_if<
|
|
std::numeric_limits<__T1>::is_specialized &&
|
|
std::numeric_limits<__T2>::is_specialized,
|
|
double>::type
|
|
remquo(__T1 __x, __T2 __y, int *__quo) {
|
|
return std::remquo((double)__x, (double)__y, __quo);
|
|
}
|
|
|
|
template <typename __T>
|
|
__DEVICE__ typename __clang_cuda_enable_if<std::numeric_limits<__T>::is_integer,
|
|
double>::type
|
|
scalbln(__T __x, long __exp) {
|
|
return std::scalbln((double)__x, __exp);
|
|
}
|
|
|
|
template <typename __T>
|
|
__DEVICE__ typename __clang_cuda_enable_if<std::numeric_limits<__T>::is_integer,
|
|
double>::type
|
|
scalbn(__T __x, int __exp) {
|
|
return std::scalbn((double)__x, __exp);
|
|
}
|
|
|
|
// We need to define these overloads in exactly the namespace our standard
|
|
// library uses (including the right inline namespace), otherwise they won't be
|
|
// picked up by other functions in the standard library (e.g. functions in
|
|
// <complex>). Thus the ugliness below.
|
|
#ifdef _LIBCPP_BEGIN_NAMESPACE_STD
|
|
_LIBCPP_BEGIN_NAMESPACE_STD
|
|
#else
|
|
namespace std {
|
|
#ifdef _GLIBCXX_BEGIN_NAMESPACE_VERSION
|
|
_GLIBCXX_BEGIN_NAMESPACE_VERSION
|
|
#endif
|
|
#endif
|
|
|
|
// Pull the new overloads we defined above into namespace std.
|
|
using ::acos;
|
|
using ::acosh;
|
|
using ::asin;
|
|
using ::asinh;
|
|
using ::atan;
|
|
using ::atan2;
|
|
using ::atanh;
|
|
using ::cbrt;
|
|
using ::ceil;
|
|
using ::copysign;
|
|
using ::cos;
|
|
using ::cosh;
|
|
using ::erf;
|
|
using ::erfc;
|
|
using ::exp;
|
|
using ::exp2;
|
|
using ::expm1;
|
|
using ::fabs;
|
|
using ::fdim;
|
|
using ::floor;
|
|
using ::fma;
|
|
using ::fmax;
|
|
using ::fmin;
|
|
using ::fmod;
|
|
using ::fpclassify;
|
|
using ::frexp;
|
|
using ::hypot;
|
|
using ::ilogb;
|
|
using ::isfinite;
|
|
using ::isgreater;
|
|
using ::isgreaterequal;
|
|
using ::isless;
|
|
using ::islessequal;
|
|
using ::islessgreater;
|
|
using ::isnormal;
|
|
using ::isunordered;
|
|
using ::ldexp;
|
|
using ::lgamma;
|
|
using ::llrint;
|
|
using ::llround;
|
|
using ::log;
|
|
using ::log10;
|
|
using ::log1p;
|
|
using ::log2;
|
|
using ::logb;
|
|
using ::lrint;
|
|
using ::lround;
|
|
using ::nearbyint;
|
|
using ::nextafter;
|
|
using ::pow;
|
|
using ::remainder;
|
|
using ::remquo;
|
|
using ::rint;
|
|
using ::round;
|
|
using ::scalbln;
|
|
using ::scalbn;
|
|
using ::signbit;
|
|
using ::sin;
|
|
using ::sinh;
|
|
using ::sqrt;
|
|
using ::tan;
|
|
using ::tanh;
|
|
using ::tgamma;
|
|
using ::trunc;
|
|
|
|
// Well this is fun: We need to pull these symbols in for libc++, but we can't
|
|
// pull them in with libstdc++, because its ::isinf and ::isnan are different
|
|
// than its std::isinf and std::isnan.
|
|
#ifndef __GLIBCXX__
|
|
using ::isinf;
|
|
using ::isnan;
|
|
#endif
|
|
|
|
// Finally, pull the "foobarf" functions that CUDA defines in its headers into
|
|
// namespace std.
|
|
using ::acosf;
|
|
using ::acoshf;
|
|
using ::asinf;
|
|
using ::asinhf;
|
|
using ::atan2f;
|
|
using ::atanf;
|
|
using ::atanhf;
|
|
using ::cbrtf;
|
|
using ::ceilf;
|
|
using ::copysignf;
|
|
using ::cosf;
|
|
using ::coshf;
|
|
using ::erfcf;
|
|
using ::erff;
|
|
using ::exp2f;
|
|
using ::expf;
|
|
using ::expm1f;
|
|
using ::fabsf;
|
|
using ::fdimf;
|
|
using ::floorf;
|
|
using ::fmaf;
|
|
using ::fmaxf;
|
|
using ::fminf;
|
|
using ::fmodf;
|
|
using ::frexpf;
|
|
using ::hypotf;
|
|
using ::ilogbf;
|
|
using ::ldexpf;
|
|
using ::lgammaf;
|
|
using ::llrintf;
|
|
using ::llroundf;
|
|
using ::log10f;
|
|
using ::log1pf;
|
|
using ::log2f;
|
|
using ::logbf;
|
|
using ::logf;
|
|
using ::lrintf;
|
|
using ::lroundf;
|
|
using ::modff;
|
|
using ::nearbyintf;
|
|
using ::nextafterf;
|
|
using ::powf;
|
|
using ::remainderf;
|
|
using ::remquof;
|
|
using ::rintf;
|
|
using ::roundf;
|
|
using ::scalblnf;
|
|
using ::scalbnf;
|
|
using ::sinf;
|
|
using ::sinhf;
|
|
using ::sqrtf;
|
|
using ::tanf;
|
|
using ::tanhf;
|
|
using ::tgammaf;
|
|
using ::truncf;
|
|
|
|
#ifdef _LIBCPP_END_NAMESPACE_STD
|
|
_LIBCPP_END_NAMESPACE_STD
|
|
#else
|
|
#ifdef _GLIBCXX_BEGIN_NAMESPACE_VERSION
|
|
_GLIBCXX_END_NAMESPACE_VERSION
|
|
#endif
|
|
} // namespace std
|
|
#endif
|
|
|
|
#undef __DEVICE__
|
|
|
|
#endif
|