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편집 파일: opt_random.h
// Optimizations for random number functions, x86 version -*- C++ -*- // Copyright (C) 2012-2018 Free Software Foundation, Inc. // // This file is part of the GNU ISO C++ Library. This library is free // software; you can redistribute it and/or modify it under the // terms of the GNU General Public License as published by the // Free Software Foundation; either version 3, or (at your option) // any later version. // This library is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // Under Section 7 of GPL version 3, you are granted additional // permissions described in the GCC Runtime Library Exception, version // 3.1, as published by the Free Software Foundation. // You should have received a copy of the GNU General Public License and // a copy of the GCC Runtime Library Exception along with this program; // see the files COPYING3 and COPYING.RUNTIME respectively. If not, see // <http://www.gnu.org/licenses/>. /** @file bits/opt_random.h * This is an internal header file, included by other library headers. * Do not attempt to use it directly. @headername{random} */ #ifndef _BITS_OPT_RANDOM_H #define _BITS_OPT_RANDOM_H 1 #ifdef __SSE3__ #include <pmmintrin.h> #endif #pragma GCC system_header namespace std _GLIBCXX_VISIBILITY(default) { _GLIBCXX_BEGIN_NAMESPACE_VERSION #ifdef __SSE3__ template<> template<typename _UniformRandomNumberGenerator> void normal_distribution<double>:: __generate(typename normal_distribution<double>::result_type* __f, typename normal_distribution<double>::result_type* __t, _UniformRandomNumberGenerator& __urng, const param_type& __param) { typedef uint64_t __uctype; if (__f == __t) return; if (_M_saved_available) { _M_saved_available = false; *__f++ = _M_saved * __param.stddev() + __param.mean(); if (__f == __t) return; } constexpr uint64_t __maskval = 0xfffffffffffffull; static const __m128i __mask = _mm_set1_epi64x(__maskval); static const __m128i __two = _mm_set1_epi64x(0x4000000000000000ull); static const __m128d __three = _mm_set1_pd(3.0); const __m128d __av = _mm_set1_pd(__param.mean()); const __uctype __urngmin = __urng.min(); const __uctype __urngmax = __urng.max(); const __uctype __urngrange = __urngmax - __urngmin; const __uctype __uerngrange = __urngrange + 1; while (__f + 1 < __t) { double __le; __m128d __x; do { union { __m128i __i; __m128d __d; } __v; if (__urngrange > __maskval) { if (__detail::_Power_of_2(__uerngrange)) __v.__i = _mm_and_si128(_mm_set_epi64x(__urng(), __urng()), __mask); else { const __uctype __uerange = __maskval + 1; const __uctype __scaling = __urngrange / __uerange; const __uctype __past = __uerange * __scaling; uint64_t __v1; do __v1 = __uctype(__urng()) - __urngmin; while (__v1 >= __past); __v1 /= __scaling; uint64_t __v2; do __v2 = __uctype(__urng()) - __urngmin; while (__v2 >= __past); __v2 /= __scaling; __v.__i = _mm_set_epi64x(__v1, __v2); } } else if (__urngrange == __maskval) __v.__i = _mm_set_epi64x(__urng(), __urng()); else if ((__urngrange + 2) * __urngrange >= __maskval && __detail::_Power_of_2(__uerngrange)) { uint64_t __v1 = __urng() * __uerngrange + __urng(); uint64_t __v2 = __urng() * __uerngrange + __urng(); __v.__i = _mm_and_si128(_mm_set_epi64x(__v1, __v2), __mask); } else { size_t __nrng = 2; __uctype __high = __maskval / __uerngrange / __uerngrange; while (__high > __uerngrange) { ++__nrng; __high /= __uerngrange; } const __uctype __highrange = __high + 1; const __uctype __scaling = __urngrange / __highrange; const __uctype __past = __highrange * __scaling; __uctype __tmp; uint64_t __v1; do { do __tmp = __uctype(__urng()) - __urngmin; while (__tmp >= __past); __v1 = __tmp / __scaling; for (size_t __cnt = 0; __cnt < __nrng; ++__cnt) { __tmp = __v1; __v1 *= __uerngrange; __v1 += __uctype(__urng()) - __urngmin; } } while (__v1 > __maskval || __v1 < __tmp); uint64_t __v2; do { do __tmp = __uctype(__urng()) - __urngmin; while (__tmp >= __past); __v2 = __tmp / __scaling; for (size_t __cnt = 0; __cnt < __nrng; ++__cnt) { __tmp = __v2; __v2 *= __uerngrange; __v2 += __uctype(__urng()) - __urngmin; } } while (__v2 > __maskval || __v2 < __tmp); __v.__i = _mm_set_epi64x(__v1, __v2); } __v.__i = _mm_or_si128(__v.__i, __two); __x = _mm_sub_pd(__v.__d, __three); __m128d __m = _mm_mul_pd(__x, __x); __le = _mm_cvtsd_f64(_mm_hadd_pd (__m, __m)); } while (__le == 0.0 || __le >= 1.0); double __mult = (std::sqrt(-2.0 * std::log(__le) / __le) * __param.stddev()); __x = _mm_add_pd(_mm_mul_pd(__x, _mm_set1_pd(__mult)), __av); _mm_storeu_pd(__f, __x); __f += 2; } if (__f != __t) { result_type __x, __y, __r2; __detail::_Adaptor<_UniformRandomNumberGenerator, result_type> __aurng(__urng); do { __x = result_type(2.0) * __aurng() - 1.0; __y = result_type(2.0) * __aurng() - 1.0; __r2 = __x * __x + __y * __y; } while (__r2 > 1.0 || __r2 == 0.0); const result_type __mult = std::sqrt(-2 * std::log(__r2) / __r2); _M_saved = __x * __mult; _M_saved_available = true; *__f = __y * __mult * __param.stddev() + __param.mean(); } } #endif _GLIBCXX_END_NAMESPACE_VERSION } // namespace #endif // _BITS_OPT_RANDOM_H